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Abstract

Magnetic resonance enterography (MRE) is a leading radiological modality in Crohn’s disease (CD) and is used together with laboratory findings and endoscopic examinations for the evaluation of patients during initial diagnosis and follow up. Over the years, there has been great progress in the understanding of CD and there is a continuous strive to achieve better monitoring of patients and to develop new modalities which will predict disease course and thus help in clinical decisions making. An objective evaluation of CD using a quantification score is not a new concept and there are different clinical, endoscopies, radiological and combined indices which are used in clinical practice. Such scores are a necessity in clinical trials on CD for evaluation of disease response, however, there is no consensus of the preferred MRE score and they are not routinely used. This review presents MRE-based indices in use in the last decade: the Magnetic Resonance Index of Activity (MaRIA), the Clermont score, the Crohn’s Disease Magnetic Resonance Imaging (MRI) Index (CDMI), the Magnetic Resonance Enterography Global Score (MEGS) and the Lemann index. We compare the different indices and evaluate the clinical research that utilized them. The aim of this review is to provide a reference guide for researchers and clinicians who incorporate MRE indices in their work. When devising future indices, accumulated data of the existing indices must be taken into account, as each of the current indices has its own strengths and weakness.

Keywords

Crohn’s disease magnetic resonance imaging diffusion magnetic resonance imaging capsule endoscopy endoscopy inflammation indexes evaluation studies as topic review

Introduction

Crohn’s disease (CD) is a chronic inflammatory disease of the bowel wall and can affect any part of the gastrointestinal (GI) tract. The disease is characterized by recurrent relapses and cause great impairment to a patient’s life. During the course of the disease significant complications such as strictures, abscess or fistula can occur.¹

Management of the disease was once solely based on patients’ symptoms. In recent years, there was a change in concept and new therapeutic goals have emerged.^2,3 Considerable efforts are being taken to achieve mucosal healing which is considered one of the best therapeutic endpoints in CD, as it is associated with sustained clinical remission, reduced rates of hospitalization and decreased risk of surgery.^4–6 Thus, monitoring of patients requires closer follow up and frequent evaluations.

Because CD is known as a transmural disease and assessing the mucosal lining may not reflect the true extent of the disease, the importance of transmural healing is being evaluated these days.⁷ Radiological assessment is important when assessing transmural involvement, as endoscopy is limited to the assessment of the mucosa.

To date, ileocolonoscopy remains the reference standard for evaluation of disease activity in CD. However, it’s an invasive procedure with low tolerability by the patient and allows visualization of the mucosal surface only without assessing extraluminal complications. Furthermore, many of CD patients have disease restricted to the small bowel which is not visualized well by conventional endoscopy.

Magnetic resonance enterography (MRE) has become one of the prime modalities for the assessment of CD.⁸ Many studies have focused on developing indices for quantification of active disease which will help in guidance of patients’ therapy. MRE indices serve as a disease quantification tool and thus may help standardize measured outcomes in clinical trials of treatment interventions for CD. In addition, these indices may be used in academic research and when validated may provide a quantified clinical decision tool for estimating mucosal healing.

The aim of our study is to introduce the major and most recent MRE-based scores for quantification of active CD patients.

Search strategy and study selections

This is a review article and therefore ethics approval and informed consent were not required for this review.

An extensive literature search of the PubMed database encompassing a period of the preceding 10 years (January 2008–September 2017) was performed.

In order to find all relevant citations, the following combination of Mesh terms or keywords was applied: (‘score’ OR ‘scores’ OR ‘indices’ OR ‘index’) AND (‘magnetic resonance enterography’ OR ‘MR enterography’ OR ‘MRE’ OR ‘magnetic resonance imaging’ OR ‘MR imaging’ OR ‘MRI’) AND (‘crohn’s disease’ OR ‘crohn disease’). The search was restricted to articles in the English language.

Studies were selected using a few-steps process: we first scanned all headlines and abstracts and excluded articles that did not meet the following inclusion criteria:

1) MRE or magnetic resonance enteroclysis were the performed radiologic modalities

2) Only CD patients were included

In our review we chose to describe only MRE indices which are currently at the center of research. Therefore, for an index to be included it must have been investigated by more than one research group except for the original developing group. Other indices were excluded^9–25 (Figure 1). Finally, five indices were included in this review; the Magnetic Resonance Index of Activity (MaRIA), the Clermont score, the Crohn’s Disease Magnetic Resonance Imaging (MRI) Index (CDMI), the Magnetic Resonance Enterography Global Score (MEGS) and the Lemann index. The methodology of their designing studies is specified in Table 1 and the MRE parameters included in each of the indices is detailed in Table 2.

Figure 1.

Flowchart of study selection.

Table 1.

Methodology of the designing studies.

Score	Author	Year	No. of patients	No. of readers	Reference standard	Statistical method	No. of included variables
MaRIA	Rimola and colleagues²⁶	2009	50	2	Colonoscopy	● Binary logistic regression analysis ● Validation of the multivariable procedures by bootstrap bagging	4 ^a
Clermont score	Bussion and colleagues²⁷	2013	31	2	MaRIA	● Linear regression analysis	4^a
CDMI	Steward and colleagues²⁸	2012	16	2 (two readers in consensus)	Pathology	● Univariable analysis ● Kendalls rank correlation	4
MEGS	Makanyanga and colleagues²⁹	2014	71	2^b (two readers in consensus)	FCP, CRP, HBI	● Based on the CDMI study ● Spearman rank evaluated correlation between MEGS and the references indices	11
Lemann	Pariente and colleagues^30,31	2011 – study design 2015 – publication of the results	138	12^c	Investigators graded a damage evaluation based on clinical examination, medical history, MRE and endoscopies findings	● Multiple linear mixed model, showing the best fit to investigators organ and global damage evaluations ● An internal cross-validation was performed using bootstrap methods	3^a,d

CD, Crohn’s disease; CDMI, CD MRI Index; CRP, c-reactive protein; FCP, fecal calprotectin; HBI, Harvey–Bradshaw Index; MaRIA, Magnetic Resonance Index of Activity; MEGS, Magnetic Resonance Enterography Global Score; MRE, magnetic resonance enterography; MRI, magnetic resonance imaging.

To evaluate some of the variables several MRE parameters need to be measured (see expansion in text).

A third radiologist evaluated only 19 cases for inter-observation.

Each of the 12 centers in the study had one radiologist who evaluated the MRE test of its own center. A sub-study to evaluate inter-observation was performed.

The Lemann score incorporates variables from other modalities: gastroscopy, colonoscopy, clinical examination, medical history.

Table 2.

Description of the MRE parameters included in the indices.

Score	MRE parameters														Validated parts of the GI tract
	Enhancement	Enhancement pattern	Wall thickness	Ulcers	ADC	MuralT2signal	Perimural T2 signal	Length	Lymph nodes	Comb sign	Stenosis	Abscess	Fistula	Haustral loss sign	Jejunum	Ileum	Colon
MaRIA ²⁶	✓			✓		✓										✓	✓
Clermont²⁷			✓	✓	✓	✓										✓
CDMI ²⁸	✓		✓			✓	✓									✓
MEGS ²⁹	✓	✓	✓			✓	✓	✓	✓	✓		✓	✓	✓	✓	✓	✓
Lemann (MRE parameters)	✓		✓	✓							✓	✓	✓		✓	✓	✓

ADC, apparent diffusion coefficient; CDMI, CD MRI Index; GI, gastrointestinal; MaRIA, Magnetic Resonance Index of Activity; MEGS, Magnetic Resonance Enterography Global Score; MRE, magnetic resonance enterography; MRI, magnetic resonance imaging.

An Institutional Review Board approval was granted for presentation of the MRE images included in this review.

Magnetic resonance index of activity (MaRIA)

Rimola and colleagues²⁶ were the first to develop an MRE-based index for quantification of disease activity. Their reference standard was ileocolonoscopy and its derived CD endoscopic index of severity (CDEIS). They evaluated six bowel segments; the distal ileum, ascending, transverse, descending, sigmoid colon and rectum. Several MRE features were studied for each segment while the final score was based only on the features which were found to be independent predictors for endoscopic active disease; Bowel wall thickness (mm), ulcers, edema (defined as hyperintensity of the bowel wall relative to the signal of the psoas muscle on T2-wedged sequence), measurements of wall signal intensity (WSI) before and after intravenous (IV) contrast administration and relative contrast enhancement (RCE) of the intestinal wall. WSI is calculated by the average of three wall enhancement measurements. RCE is calculated by the following formula: RCE = [(WSI postgadolinium−WSI pregadolinium)/(WSI pregadolinium)] × 100 × [standard deviation (SD) noise pregadolinium/SD noise postgadolinium], where SD noise pre and postgadolinium is calculated by the average of three SDs of the signal intensity measured outside of the body before and after gadolinium injection, respectively. Figures 2 –4 presents MRE features used in the MaRIA score.

Figure 2.

MRE coronal T2-weighted image showing extensive wall thickening of the terminal ileum (black arrow). Wall thickness is a variable in all the five scores presented in this review. Mural T2 signal is an important part of CDMI and MEGS.

Figure 3.

MRE axial T2-weighted image showing a terminal ileum (white arrow) with hyper signal relative to the psoas muscle (arrow heads). Wall edema is a variable in the MaRIA and Clermont scores.

Figure 4.

Axial T1-weighted postgadolinium showing marked enhancement of a diseased terminal ileum (arrow). The MaRIA, CDMI and MEGS indices incorporate enhancement in their evaluation.

The simplified (= segmental) MaRIA score is represented by the following formula:

\begin{array}{l} 1.5 \times wall thickness (mm) + 0.02 \times RCE + \\ 5 \times edema + 10 \times ulceration . \end{array}

The simplified MaRIA score had a high (r = 0.81) and significant (p < 0.001) correlation with the CDEIS of the correspondent segment.

A global MaRIA score is calculated by adding the values of all six bowel segments. It showed significant correlation with CDEIS (r = 0.78, p < 0.001), Harvey–Bradshaw index (r = 0.56, p < 0.001) and c-reactive protein (CRP) (r = 0.53, p < 0.001).

In an external validation of their previous study, Rimola and colleagues³² established cutoff points for disease severities (Table 3). Active disease was defined as endoscopic lesions of any severity and severe disease was defined as deep or superficial ulcerations at endoscopy.³²

Table 3.

Cutoff values of different MRE scores.

Score	Active disease	Severe disease	Bowel damage
MaRIA(segmental)	⩾7	⩾11
Clermont score (segmental)	>8.4	⩾12.5
CDMI	4.1
MEGS	10
Lemann			4.8

CDMI, CD MRI Index; MaRIA, Magnetic Resonance Index of Activity; MEGS, Magnetic Resonance Enterography Global Score; MRE, magnetic resonance enterography; MRI, magnetic resonance imaging.

Diffusion-weighted imaging (DWI) is an imaging technique which derives its signal contrast from the Brownian motion of water molecules. In the extracellular space, water molecules move relatively free while in the intracellular compartment their movement is restricted. Pathological processes change the proportion of the intra and extracellular water molecules and thus effect the tissue’s diffusion properties. The intensity of DWI allows qualitative assessment whereas generation of apparent diffusion coefficient (ADC) map from DWI acquisition allows quantitative measurements.³³ DWI was first used in neurology where patients with stroke demonstrated hyperintensity and low ADC values.^34,35

Oto and colleagues³⁶ were the first to evaluate the role of DWI and ADC in detection of bowel inflammation and demonstrated that inflamed segments have an increased signal and lower ADC values. This observation was confirmed by other studies³⁷ and the use of DWI in CD continues to develop.^38,39

With the increasing use of DWI in radiological evaluation of disease activity Kim and colleagues⁴⁰ proposed recently a modifying MRE index which replaces ulcers with DWI grading. They were able to demonstrate a similar correlation to CDEIS (r = 0.737 and 0.742, p = 0.387, respectively) and did not differ in the ability to diagnose active (0.909 and 0.903, p = 0.571) or severe (0.907 and 0.892, p = 0.443) inflammation. However, the intraclass correlation was significantly higher for the modified MaRIA than MaRIA (0.845 and 0.701, respectively, p < 0.001).

Clermont score

This is given as:

- 1.321 \times ADC ({mm}^{2} / s) + 1.646 \times wall thickening + 8.306 \times ulcers + 5.613 \times edema + 5.039

Buisson and colleagues²⁷ developed the first index which combines DWI and ADC measurements (Figure 5). The ileum was the only segment to be evaluated. By using the MaRIA score as a reference standard they developed the Clermont score, a DWI-based index for quantification of disease activity, which combined conventional MRE parameters derived by the MaRIA index.

Figure 5.

ADC image showing restricted diffusion in the diseased terminal ileum (arrow). The Clermont is the only index which incorporates ADC measurements.

Calculation is performed by the following formula:

An external validation by the same group was later performed.⁴¹ The Clermont score was found to be highly correlated with the MaRIA score (rho = 0.99) in ileal CD but not in colonic CD (rho < 0.8). A Clermont score >8.4 was found to be predictive of active ileal disease which was defined as MaRIA ⩾ 7 (receiver operating characteristic curve (ROC) of 0.99, p = 0.0001) and a score ⩾12.5 was found to be predictive of severe ileal disease (MaRIA ⩾ 11) (Table 3).

Crohn’s disease MRI index (CDMI) and MEGS

The MEGS is based on a previously proposed CDMI score²⁸ and was developed in order to better evaluate full disease burden. CDMI used pathology as a reference standard. Few specimens were taken from a surgically removed terminal ileum and were assigned an endoscopic biopsy acute inflammation score (AIS). Using a postoperative MRE of the resected segment, the specimen locations were allocated on an MRE performed prior to surgery. The MRE was evaluated according to the following parameters: mural thickness, mural T2 signal, perimural T2 signal, mural enhancement pattern, degree of enhancement, lymph nodes and lymph nodes enhancement. Only mural thickness and mural T2 signal showed correlation in a univariable, multivariable and backward selection and therefore were the only parameters included in the final formula:

CDMI = 1.79 + 1.34 \times mural thickness + 0.94 \times mural T 2 score

The two additional parameters, contrast enhancement and perimural T2 signal, demonstrated only a univariable correlation to AIS. The simple sum of all four parameters slightly improved the correlation to endoscopic score in comparison with the proposed model and is the preferred method between the two.

Makanyanga and colleagues²⁹ used the same variables previously described in the basic index and in an attempt to better reflect the true extent of the disease suggested few modifications. The final MEGS score, divides the GI tract to nine segments and its full description and calculation is depicted in Table 4. The correlations between MEGS and the reference standards were: with fecal calprotectin (FCP): r = 0.46, p < 0.001; with CRP: r = 0.388, p = 0.002 and with the Harvey–Bradshaw index: r = 0.102, p = 0.4.

Table 4.

MEGS calculation.

Score per segment			Total score: Score per segment X multiplication score per segment (jejunum, ileum, terminal ileum, cecum, ascending, transverse, descending, sigmoid and rectum based) + additional score per patient (lymph node + comb sign + abscess + fistula)
Mural thickness	Grade 0	<3 mm
	Grade 1	3–5 mm
	Grade 2	5–7 mm
	Grade 3	<7 mm
Mural T2 signal	Grade 0	Equivalent to normal bowel wall
	Grade 1	bowel wall appears dark grey on fat-saturated images
	Grade 2	bowel wall appears light grey on fat-saturated images
	Grade 3	bowel wall contains areas of white high signal approaching that of luminal content
Perimural T2 signal	Grade 0	Equivalent to normal mesentery
	Grade 1	Increase in mesenteric signal but no fluid
	Grade 2	Small fluid rim (⩽2 mm)
	Grade 3	Large fluid rim (⩾2 mm)
T1 enhancement	Grade 0	Equivalent to normal bowel wall
	Grade 1	bowel wall signal greater than normal small bowel but significantly less then nearby vascular structures
	Grade 2	bowel wall signal increased but somewhat less than then nearby vascular structures
	Grade 3	bowel wall signal approaches that of nearby vascular structures
Mural enhancement pattern	Grade 0	N/A or homogeneous
	Grade 1	Mucosal
	Grade 2	Layered
	Grade 3	-------
Haustral loss	Grade 0	None
	Grade 1	<1/3 segment
	Grade 2	1/3–2/3 segment
	Grade 3	>2/3 segment
Multiplication score per segment
Length of disease segment		×1: 0–5 cm×1.5: 5–15 cm×2: >15 cm
Additional score per patient
Lymph node (1 > cm)		0: Absent5: Present
Combs sign
Abscess
Fistula

MEGS, Magnetic Resonance Enterography Global Score; MRE, magnetic resonance enterography; MRI, magnetic resonance imaging.

Lemann index

The Lemann index differs from other indices by assessing structural damage rather than the extent of disease activity and mucosal inflammation.^30,31 The Leman score is a bowel damage score not a bowel activity score. The GI tract is divided into four parts which are further divided into segments: upper tract (esophagus, stomach, duodenum), small bowel (each segment is 20 cm), colon (cecum, ascending/transverse/descending and sigmoid colon, rectum) and anus. Each of the segments is evaluated according to three parameters: surgical intervention, stricturing lesions and penetrating lesions which are being evaluated by either endoscopy, colonoscopy, computed tomography or MRI and are graded between 0–3 (Figure 6). All of the data are entered into a Microsoft Excel-based calculator provided by the LI score study group. Table 5 describes the Lemann index.

Figure 6.

MRE coronal T1-weighted post gadolinium image. Extensive disease is shown in the distal and terminal ileum, with a bowel conglomerate, numerous fistulas and phlegmon, with the appearance of the ‘star sign’ (arrows). Also showing is the mesenteric lymphadenopathy (arrow head). Both the MEGS and the Lemann indices incorporate extra-intestinal features.

Table 5.

Lemann index^a.

		Upper tract	Small bowel	Colon/rectum	Anus
Surgical intervention	Grade 1	-------	-------	-------	Reconstruction procedure, flap, coring out fistula track or laying open of fistula
	Grade 2	Bypass diversion or strictureplasty	Bypass diversion or strictureplasty	Stomy. Bypass diversion or strictureplasty	Major surgery leading to substantial sphincter damageTemporary diversion
	Grade 3	Resection	Resection	Resection	Resection
Stricturing lesion	Grade 1	MRI/CT: Wall thickening <3 mm or segmental enhancement without pre-stenotic dilatation	MRI/CT: Wall thickening < 3 mm/ segmental enhancement without pre-stenotic dilatation	MRI/CT: Wall thickening <3 mm or segmental enhancement without pre-stenotic dilatation	Clinical examination: Mild stricture
	Grade 2	Endoscopy: Lumen narrowing, passableMRI/CT: Wall thickening ⩾ 3 mm/mural stratification without pre-stenotic dilatation	MRI/CT: Wall thickening ⩾ 3 mm/mural stratification without pre-stenotic dilatation	Colonoscopy: Lumen narrowing, passableMRI/CT: Wall thickening ⩾ 3 mm/segmental enhancement without pre-stenotic dilatation/ <50% of the lumen	Clinical examination: Frank stricture, passable
	Grade 3	Endoscopy: Stricture, NonpassableMRI/CT: Stricture with pre-stenotic dilatation	MRI/CT: stricture with pre-stenotic dilatation	Colonoscopy: Stricture, NonpassableMRI/CT: Stricture with pre-stenotic dilatation/>50% of the lumen	Clinical examination: Frank stricture, nonpassable
Penetrating lesion	Grade 1	Endoscopy: Superficial ulceration	—	Colonoscopy: Superficial ulceration	Clinical examination: Anal ulcerationMRI/CT: Simple fistula
	Grade 2	Endoscopy: Deep ulcerationMRI/CT: Deep transmural ulceration	MRI/CT: Deep transmural ulceration	Colonoscopy: Deep ulcerationMRI/CT: Transmural ulceration	Clinical examination: Multiple fistulaMRI/CT: Branching fistula, multiple fistulae, or any type of abscess >1 cm
	Grade 3	Endoscopy: FistulaMRI/CT: Phlegmon or any type of fistula	MRI/CT: Phlegmon or any type of fistula	Colonoscopy: FistulaMRI/CT: Phlegmon or any type of fistula	Clinical examination: Multiple fistula with extensive anal and perianal tissue destructionMRI/CT: Extensive anal and perianal suppuration, horseshoe abscess, or fistula(e) involving or extending above the levator plate

Data are entered into a Microsoft Excel-based calculator provided by the LI score study group.

CT, computed tomography; MRI, magnetic resonance imaging.

The Lemann index significantly increased with disease durations of <2 years, ⩾2 years and <10 years and ⩾10 years corresponding to Lemann index values of 6.3, 14.3 and 19.0, respectively (p < 0.001). The Lemann index was not influenced by the Crohn’s disease Activity Index (CDAI) when taking into account disease duration which emphasizes its significant as indicator of long term damage which is not affected by acute flares.

Validation of the indices

Revalidation of the indices was performed by the studies presented in Table 6. The validating studies have shown variable results for the ability of the indices to detect active disease. However, there is a great inconsistency between the validating studies methods, gold standards and evaluated bowel segment which makes it difficult to draw any conclusion regarding the capacity of these indices to reflect disease activity.

Table 6.

Validation of MRE indices.

Authors	Publication date	Examined indices	No. of patients (segments)	Standard reference	Results^a
Kim and colleagues⁴⁰	May 2017	MaRIA	42 (79)	Ileocolonoscopy; CDEIS	Not statistically significant results:r = 0.737 (0.652–0.810), p = 0.387Active inflammation (CDEIS ⩾ 3): AUC = 0.909 (0.858–0.961), p = 0.571Severe inflammation (CDEIS ⩾ 120): AUC = 0.907 (0.841–0.973), p = 0.443
Rimola and colleagues⁴²	June 2017	MaRIA	43 (224)	Ileocolonoscopy; SES-CD	MaRIA score has a higher specificity and accuracy in diagnosing active disease in comparison with DWI and T2 sequences together.No difference between MaRIA score and DWI + T2 sequences in detection of severe disease.
Lunder and colleagues⁴³	July 2017	Lemann	96	IleocolonoscopyMRE	After 20 years follow up, median value of LI was 4.6.The LI was associated with younger age (p = 0.02), ileocolic complicated disease (p < 0.001), endoscopic inflammation (p = 0.02), endoscopic ulceration (p = 0.03) small bowel disease on MRE (p = 0.02), biological drugs (p < 0.001) and immunosuppressants treatment (p = 0.045).
Ye and colleagues⁴⁴	May 2017	MaRIA	27	Ileocolonoscopy; SES-CD	Correlation between total MaRIA and SES-CD; r = 0.527, p = 0.005Correlation between segmental MaRIA and SES-CD: r = 0.590, p < 0.001No correlation between MaRIA and fecal calprotectin was found
Scardapane and colleagues⁴⁵	November 2015	MaRIA	100	Ileocolonoscopy; SES-CD	Correlation between MaRIA and SES-CD, overall and segmental scores: r = 0.60, p < 0.0001 and r = 0.37, p < 0.0001 respectively.
Gilletta and colleagues⁴⁶	September 2015	Lemann	221	IleocolonoscopyCross sectional imaging; CR/MRE	Overtime Lemann index has progressed: Mean scores of 2.3, 3.5 and 8.3 were calculated at first 2 years, 2–5 years and 5–10 years post diagnosis. The change between periods was significant (p < 0.001).Progressive damage was associated with intestinal resection, time and the percentage of time elapsed with a clinically active disease.
Coimbra and colleagues⁴⁷	October 2015	MaRIA	20	Ileocolonoscopy; CDEIS and SES-CD	Correlation between global MaRIA and CDEIS: r = 0.63, p < 0.01; between global MaRIA and SES-CD: r = 0.71, p < 0.01, respectively.
Buisson and colleagues⁴⁸	June 2015	MaRIA^b Clermont	44 (194)	Ileocolonoscopy; CDEIS and SES-CD	Correlation between colorectal segmental MaRIA and CDEIS; r = 0.40, p < 0.05 and SES-CD; r = 0.37, p < 0.05.Correlation between ileal segmental MaRIA and CDEIS; r = 0.67, p < 0.05 and SES-CD; r = 0.61, p < 0.05.Correlation between Clermont and CDEIS; r = 0.63, p < 0.05 and SES-CD; r = 0.58, p < 0.05.A score >18.9 detected ulceration with sensitivity of 79% and specificity of 73%.
Sato and colleagues⁴⁹	November 2014	MaRIA	27	Ileocolonoscopy; CDEIS	Correlation between MaRIA and CDEIS; r = 0.61
Caruso and colleagues⁵⁰	September 2014	MaRIAClermont	55	Ileocolonoscopy; SES-CD	Correlation between MaRIA and Clermont; r = 0.91, p < 0.0001Correlation between MaRIA and SES-CD; r = 0.83, p < 0.0001Correlation between Clermont and SES-CD; r = 0.76, p < 0.0001
Tielbeek and colleagues⁵¹	December 2013	MaRIACDMI	30 (143)	Ileocolonoscopy; CDEIS	Correlation between MaRIA and CDEIS; r = 0.51Correlation between CDMI and CDEIS; r = 0.59

AUC, area under the curve; CD, Crohn’s disease; CDEIS, CD Endoscopic Index of Severity; CDMI, CD MRI Index; DWI, diffusion-weighted imaging; LI, Lemann Index; MaRIA, Magnetic Resonance Index of Activity; MRE, magnetic resonance enterography; MRI, magnetic resonance imaging; SES-CD, Simple Endoscopic Activity Score for CD.

The results refer to a segmental correlation unless specified otherwise.

No bowel cleansing was performed.

Interobserver studies

Evaluating the score’s precision is crucial prior to its implantation in clinical practice. The results of the score must be repeatable in order to be used as a reliable clinical tool. Tielbeek and colleagues⁵¹ were the first to address this issue as they examined the reproducibility of the MaRIA and CDMI scores. Their evaluation included four readers with different clinical experience and demonstrated a good interobserver variability of both indices (intraclass correlations (ICC) = 0.74 and ICC = 0.78, respectively). Rimola and colleagues⁵² found a substantial interobserver variability of both MaRIA and Clermont (ICC = 0.7 and ICC = 0.65, respectively). Similar results for the MaRIA score were obtained by Kim and colleagues.⁴⁰

Studies that compared indices

Tielbeek and colleagues⁵¹ examined MaRIA and CDMI for their interobserver variability and correlation to ileocolonoscopy (CDEIS). Similar results were obtained between the indices; from the results of four experienced radiologists, a good interobserver agreement was attained (0.74 for MaRIA and 0.7 for CDMI) and both indices showed moderate correlation to CDEIS (r = 0.51 for MaRIA and r = 0.59 for CDMI, respectively). It is worth noting that although MaRIA was initially validated against CDEIS and CDMI against the histopathology score they still performed equally in this study.

Caruso and colleagues⁵⁰compared the diagnostic accuracies of MaRIA and Clermont for detecting active ileal disease and found similar correlation of the two indices to endoscopy.

A similar comparison was later made by Rimola and colleagues⁵² who obtained similar results. Both indices demonstrated high sensitivities for active disease were similar while the specificity of MaRIA was superior to Clermont (97% and 78.2%, respectively).

Studies performed in children do not rely on endoscopy as a reference standard due to its invasiveness. Instead, the pediatric CD activity index (PCDAI), which includes the patient’s history, findings in physical examination and laboratory values is used. Pomerri and colleagues⁵³ were the first to investigate the accuracy of these indices in the young population of patients. The global MaRIA and MEGS revealed a weak-to-moderate correlation to the PCDAI (r = 0.42, p = 0.016 and r = 0.46, p = 0.007, respectively).

Clinical implications of MRE indices

Response to therapy and mucosal healing

Response to therapy is an important element of patient monitoring and decision making. The primary goal is to achieve mucosal healing; however, it is a demanding task considering the repeated endoscopies it requires. MRE plays a significant role in CD management but its ability to monitor treatment responsiveness is yet to be determined. Table 7 demonstrates the studies which tried to elucidate this point.

Table 7.

MRE as a tool for assessment of treatment responsiveness.

Authors	MRE index	Standard reference	Treatment	Change in index	Correlation with reference	Other results
Kang and colleagues⁵⁴	MaRIA	Ileocolonoscopy; SES-CD	Infliximab/ azathioprine		Per patient: r = 0.699 (p < 0.001)Per segment: r = 0.596 (p < 0.001)	Global MaRIA > 46.4; 76% sensitivity, 89% specificity, AUC 0.88 for predicting mucosal lesions on ileocolonoscopy.Segmental MaRIA > 7.1; 76% sensitivity, 78% specificity, AUC 0.782 for predicting mucosal lesions on ileocolonoscopy.
Stoppino and colleagues⁵⁵	MaRIA	Ileocolonoscopy; SES-CD	Infliximab/ adalimumab	41.1 ± 14.8 versus 32.8 ± 11.7, p < 0.001	Significant correlation at baseline (p = 0.03) and at week 26 (p < 0.001)∆MaRIA with ∆SES-CD: p < 0.001	MaRIA < 30.8; 93% sensitivity, 77% specificity, AUC 0.967 for MH.
Prezzi and colleagues⁵⁶	MEGS	Clinical	Infliximab/ adalimumab	Responding group: 28 versus 6, (p < 0.001)Nonresponding group: 26 versus 18 (p = 0.28)	r = 0.53, p < 0.001
Ordas and colleagues⁵⁷	MaRIA	Colonoscopy → CDEIS	Steroids/ adalimumab	Segments with healing; 18.86 ± 9.50 versus 8.76 ± 5.88 (p < 0.001)Segments without healing: 22.13 ± 8.42 versus 20.77 ± 9.17 (p > 0.05)	Overall MaRIA to CDEIS; r = 0.81, p < 0.001MH diagnosis, Per patient analysis: k = 0.71, p < 0.001Segmental MaRIA to CDEIS; r = 0.51, p < 0.001MH diagnosis, Per segment analysis: r = 0.51, p < 0.001	Total MaRIA < 50; 75% sensitivity, 80% specificity, AUC 0.833 for ulcer healing,Total MaRIA < 50; 83% sensitivity, 84% specificity, AUC 0.864 for MH.Segmental MaRIA < 11; sensitivity, specificity, diagnostic accuracySegmental MaRIA <7; sensitivity, specificity, diagnostic accuracy.
Tielbeek and colleagues⁵⁸	CDMI	Clinical records	Infliximab/ adalimumab	Transmural inflammation:- Responding: 5.19 versus 3.12, p < 0.0001- Nonresponding: 5.55 versus 5.92, p = 0.49Stenosis:- Responding: 6.33 to 4.58, p = 0.01- Nonresponding: .61 to 6.72, p = 0.79

AUC, area under the curve; CD, Crohn’s disease; CDEIS, CD Endoscopic Index of Severity; MaRIA, Magnetic Resonance Index of Activity; MEGS, Magnetic Resonance Enterography Global Score; MH, mucosal healing; MRE, magnetic resonance enterography; SES-CD, Simple Endoscopic Score for Crohn’s disease.

Ordas and colleagues⁵⁷ examined the ability of MaRIA to identify ulcer healing following treatment and the accuracy of MaRIA to assess mucosal healing (CDEIS < 3.5). The diagnostic accuracy of MaRIA to predict ulcer healing (MaRIA < 11) was 90% and to predict mucosal healing (MaRIA < 7) was 83%. The MaRIA score demonstrated high responsiveness for therapy-induced changes and proves to be a reliable tool to assess response to therapy. Similarly, Stoppino and colleagues⁵⁵ also evaluated the responsiveness of MaRIA to treatment with anti-tumor necrosis factor (TNF) and its correlation to endoscopic appearance. They found a significant change in the MaRIA value before and after treatment and a significant correlation with the simple endoscopic activity score for CD (SES-CD).

Prezzi and colleagues⁵⁶ characterized the response of MEGS to anti-TNFα therapy, however, they used clinical disease activity as a reference standard which does not truly reflect disease activity. MEGS significantly changed in clinically responders to therapy but not in nonresponders and a moderate correlation was observed with clinical activity.

Another aspect of response to therapy was investigated by Tielbeek and colleagues⁵⁸ who assessed the ability of MRE to reflect changes of anti-TNF on transmural inflammation and stenotic lesions. It their study, CDMI was able to reflect responsiveness on both aspects, since a significant improvement in score was observed in the responding segments but not in the nonresponding segments (transmural inflammation: 5.19 to 3.12, p < 0.0001 versus 5.55 to 5.92, p = 0.49; stenotic segments: 6.33 to 4.58, p = 0.01 versus 6.61 to 6.72, p = 0.79).

Moy and colleagues⁵⁹ reassured previous results, however, their study differ in design and goals and did not assess MRE response to therapy but rather the ability to detect mucosal healing. Ye and colleagues⁴⁴ determined a cutoff value of 6.8 for detection of mucosal healing [area under the curve (AUC) 0.881, sensitivity 100%, specificity 79.2%] however they used a different value of SES-CD for mucosal healing as a standard reference.

Buisson and colleagues⁶⁰have recently compared the ability of MaRIA and Clermont to detect mucosal ulceration and predict mucosal healing using endoscopy as a reference standard. Both indices were equally effective in detecting endoscopic ulceration with specificity (82.1% and 81.3%, respectively) and substantially negative predicting value (82.1% and 82.4%, respectively) while the sensitivity and positive predicting value were moderate

An emerging clinical concept these days is transmural healing, which refers to normalization of both radiologic scans and endoscopy examinations.^7,61 Its rate, effect on disease course and methods for evaluation are being assessed and the role of MRE-based indices is still unknown.

MRE indices as prognostic tools

Biological therapy with anti-TNF antibodies is widely used for inducing and maintaining remission. Some patients develop resistance to therapy after initial response and clinical remission and it is necessary to evaluate the extent of disease for planning treatment strategy. Naganuma and colleagues⁶²studied a cohort of 50 patients who have finished therapy with anti-TNF drugs and during a period of up to 3 years observed for clinical flares. They aimed to discover whether MRE can predict prognosis of patients with an initial clinical remission.

Total and segmental MaRIA score were significantly higher in the group who experienced disease flares than in the group who maintained remission (47.6 ± 14.3 versus 33.2 ± 8.7, p = 0.003; 19.8 ± 8.9 versus 12.1 ± 6.9, p = 0.02, respectively). A value of 36.3 of total MaRIA score was set to predict recurrence among patients with clinical remission (sensitivity 75%, specificity of 70%, AUC 0.79%, p = 0.009). Patients with an initial score <36.3 had a significantly longer period of remission in comparison with patients with score ⩾36.3 [29.8 months, 95% confidence interval (CI) 23.7–35.9 versus 13.9 months, 95% CI 7.7–20.1, Log-rank test p = 0.01, Breslow test p = 0.009].

The MaRIA score was not found to be correlated with an increased risk to abdominal resection surgery in a study conducted by Amezaga and colleagues.⁶³ Both groups of patients, the group who did not need surgery and the one who did, demonstrated similar scores (65 and 62, respectively, p = 0.6). The significant of this observation is that the severity of a particular flare, measured by a validated MRI index, is not a predictor of the need for abdominal surgical resection.

Evaluation of bowel damage in CD

Fiorino and colleagues⁶⁴ investigated the effect of anti-TNF therapy on bowel damage and the sensitivity of the Lemann index to assess such changes. A cutoff value of 4.8 was proposed as discriminating for bowel damage (AUC 0.81, sensitivity 76%, specificity 0.89%) and a change of +0.3 was indicative for bowel damage progression (AUC 0.98, sensitivity100% and specificity 96%). During 12 months of follow up, the majority of patients (83%) had bowel damage regression and anti-TNF therapy significantly reduced LI (p = 0.007). Progression of bowel damage was unrelated to either clinical or endoscopic activity. Patient with bowel progression were more likely to undergo a major surgery within the next 12 months [hazard ratio (HR) 0.19, p = 0.005].

A different study by the same group⁶⁵ evaluated the prognostic values of the Lemann index and MaRIA score in newly diagnosed patients. The Leman index was found to be a prognostic factor for intestinal surgery (HR: 1.11, p < 0.0001) and of CD-related hospitalization (HR: 1.08, p < 0.001) while the MaRIA score did not predict the course of the disease.

When examining a subgroup of quiescent and stable CD patients Amitai and colleagues⁶⁶ demonstrated no significant change in bowel damage over time. They found neither endoscopic activity nor inflammatory biomarkers (CRP or fecal protection) to be correlated with damage progression. In contrast to their results Bhattacharya and colleagues⁶⁷ found CRP to correlate to damage progression in quiescent CD.

Bodini and colleagues⁶⁸studied the efficacy of several treatment modalities in preventing bowel damage progression as assessed by Lemann index. They found anti-TNF to be superior to that of azathioprine and mesalazine as it was able to maintain a stable LI.

Capsule endoscopy

Capsule endoscopy overcomes few of the major disadvantages of standard ileocolonoscopy and allows visualization of the small bowel in a noninvasive method. It is now considered a standard tool in the evaluation of CD patients^69–71 and its correlation with MRE parameters indicating active inflammation was previously demonstrated.^39,72–74

Kopylov and colleagues⁷⁵examined the relationship between the Lewis score, a capsule endoscopy-based index, MaRIA and Clermont in the distal small bowel. Both MaRIA and Clermont were significantly correlated with Lewis score (r = 0.50, p = 0.001 and r = 0.53, p = 0.001, respectively), and the AUC of both scores was moderate for prediction of mucosal inflammation in general (Lewis score > 135) and excellent for prediction of moderate-to-severe inflammation (Lewis score > 790; 0.71 and 0.74 versus 0.93 and 0.91 for MaRIA and Clermont, respectively). In another study by the same group the MEGS score was validated against the Lewis score (r = 0.61).⁷⁶

DWI and ADC performance

Both Pendse and colleagues⁷⁷ and Huh and colleagues⁷⁸ examined the use of DWI qualitative assessment and ADC quantification measurements as part of patient follow up.

The Pendse and colleagues study⁷⁷ demonstrated conflicting results; ADC demonstrated moderate correlation with MEGS but was not different between groups with active and inactive disease (defined by MEGS > 10 and another time by histology). However, MEGS score and FCP were different between groups with and without DWI restriction and abnormal DWI showed high sensitivity and specificity for detecting biochemically active disease (calprotectin > 120 µg/l). They offered the use of DWI for first and overall estimation of the disease and did not recommend the use of ADC. When DWI was different results were obtained by Huh and colleagues⁷⁸ who demonstrated that DWI and ADC can help in assessment of response to therapy.

Implementation of MRE-based indices as reference standards

FCP is a noninvasive marker of intestinal inflammation and its correlation with endoscopy and ability to response to therapy has been proven.^79,80 Cerrillo and colleagues⁸¹ studied FCP association with radiological activity as reflected by the MaRIA score and found a moderate correlation (r = 0.56, p < 0.001). He suggested FCP value of 166.50 as cutoff for predicting active disease (MaRIA > 7; AUC = 0.914, sensitivity 90.48%, specificity 74.29%). This finding could help when deciding which patient deserves further evaluation.

Takenaka and colleagues⁸² have sought to determine the applicability of MaRIA score and SES-CD, which were both initially developed and validated for the terminal ileum and colon only, in the deep small intestine. A low correlation was demonstrated between MaRIA, CDAI and CRP (r = 0.221, p = 0.015; r = 0.371, p < 0.001, respectively). Interestingly, the MaRIA score highly correlated with SES-CD in segmental and total calculations (r = 725, p < 0.001; r = 8.808, p < 0.001, respectively).

Strengths and weaknesses of the reviewed indices

Figures 1 –5 present MRE features which are incorporated in the indices reviewed in this article.

Each of the models reviewed in this article entails some advantages over the others and at the same time carries some drawbacks which make it less favorable. Validating studies have shown inconsistences regarding the accuracies of each models, and there is much room for further research expanding current data. Getting familiar with the pros and cons of the current models is important for proper use in clinical practice and for devising new indices.

Table 8 elaborates the strengths and weakness for each index.

Table 8.

Strength and weaknesses of the indices.

Score	Strength	Weaknesses
MaRIA	• Validated against pathology• Assess global and segmental disease• Most investigated score	• Does not evaluate the entire small bowel
Clermont	• Can be performed without Gadolinium injection• Incorporates apparent diffusion coefficient measurements	• Used MaRIA score for validation• Was not validated against pathology• Does not evaluate the entire small bowel
CDMI	• Validated against pathology• Simple to use	• Does not evaluate the entire small bowel
MEGS	• Evaluates the entire GI tract• Incorporates extra-intestinal damage	• Was not validated against pathology• Largest number of evaluated features
Lemann	• Validated against pathology• Evaluates the entire GI tract• First model for accumulated disease damage• Multi-center international study (24 centers, 15 countries)	• Necessitates several modalities (MRE/CT, gastroscopy, colonoscopy, surgery reports) for full scoring

CDMI, Crohn’s disease MRI Index; CT, computed tomography; GI, gastrointestinal; MaRIA, Magnetic Resonance Index of Activity; MEGS, Magnetic Resonance Enterography Global Score; MRE, magnetic resonance enterography.

The MaRIA is the most studied index and offers an extensive data of its performance against different investigating modalities (clinical scores, pathology, conventional endoscopy, video capsule endoscopy, inflammatory biomarkers). Therefore, it may be considered for use as a reference index these days.

The Clermont score incorporates the DWI technique which has been well integrated into many radiological fields and showed a very strong correlation to MaRIA (r = 0.99). A limitation of the Clermont score is that it is the only one of the five scores without truly independent validation with another modality. It contains many similar items to the MaRIA score so it is not surprising the two scores correlate well. It can be used when there is a decision not to inject contrast material and we believe it will gain more popularity with the increasing use of DWI in CD imaging. The CDMI is an index that has not been studied much but offers a relatively simple method of calculation, with few investigated variables, and should therefore be considered when saving time is of interest.

The MEGS lacks pathological validation but on the other hand is correlated with clinical score of disease activity, stool and blood markers. It has the advantages of evaluating the entire small bowel and incorporating extra-intestinal findings and should be used as a tool for evaluating the extent of the disease. Of note is that the MEGS score is complicated to obtain, due to its large number of variables (see Table 3).

The Lemann index is specifically targeted for measuring cumulative damage of the intestine and requires the use of a number of modalities other than MRE, which can limit its application.

Distinguishing inflammatory from fibrotic lesions is important in patients’ management as it has an impact on treatment choice.⁸³ None of the current indices was evaluated in this aspect and further studies are required to examine if they are able to make this separation or whether new indices are required.

Table 1 presents the study methodology of the five scores that are discussed in this review. In the era of quantitative medicine, future scores may benefit from a larger cohort of patients that will reflect the variability of CD and strength the statistical significance of the multivariate regression analysis.

Conclusion

The observation that patients with endoscopically severe inflammation may still be asymptomatic led to shift in the treatment goal of CD from achieving clinical remission to achieving mucosal healing.⁸⁴ This change of treatment paradigm requires a more comprehensive evaluation and higher frequency of testing and thus new tools were introduced into clinical practice in order to better manage CD patients.⁸⁵

MRE gained great popularity over the years and is considered one of the gold standards for the diagnosis and follow up of CD.⁸⁶ In this review we present and analyze the leading MRE indices from the last 10 years, compare the different indices and evaluate clinical research that utilized them. The aim of this review is to provide a reference guide for researchers and clinicians who incorporate MRE indices in their work. When devising future indices, accumulated data from the existing indices must be taken into account, as each of the current indices has its own strengths and weakness.

Footnotes

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest statement

The authors declare that there is no conflict of interest.

ORCID iD

Uri Kopylov

References

Torres

Mehandru

Colombel

et al . Crohn’s disease. Lancet (London, England). 2017; 389: 1741–1755.

Khanna

Jairath

Feagan

BG.

The evolution of treatment paradigms in crohn’s disease: beyond better drugs. Gastroenterol Clin North Am 2017; 46: 661–677.

Peyrin-Biroulet

Sandborn

Sands

et al . Selecting therapeutic targets in inflammatory bowel disease (STRIDE): determining therapeutic goals for treat-to-target. Am J Gastroenterol 2015; 110: 1324–1338.

Baert

Moortgat

Van Assche

et al . Mucosal healing predicts sustained clinical remission in patients with early-stage Crohn’s disease. Gastroenterology 2010; 138: 463–468; quiz e10–1.

Schnitzler

Fidder

Ferrante

et al . Mucosal healing predicts long-term outcome of maintenance therapy with infliximab in Crohn’s disease. Inflamm Bowel Dis 2009; 15: 1295–1301.

Froslie

Jahnsen

Moum

et al . Mucosal healing in inflammatory bowel disease: results from a Norwegian population-based cohort. Gastroenterology 2007; 133: 412–422.

Fernandes

Rodrigues

Bernardo

et al . Transmural healing is associated with improved long-term outcomes of patients with crohn’s disease. Inflamm Bowel Dis 2017; 23: 1403–1409.

Walsh

Bryant

Travis

SP.

Current best practice for disease activity assessment in IBD. Nat Rev Gastroenterol Hepatol 2016; 13: 567–579.

Gallego

Echarri

Is there a role of magnetic resonance imaging in deciding to stop anti-tumor necrosis factor treatment in ileal Crohn’s disease?

Clin Imaging 2017; 43: 175–179.

10.

Eder

Katulska

Lykowska-Szuber

et al . Simple Enterographic Activity Score for Crohn’s Disease: comparison with endoscopic, biochemical, and clinical findings. Pol Arch Med Wewn 2013; 123: 378–385.

11.

Iannicelli

Martini

Fantini

et al . Magnetic resonance enterography in Crohn’s disease: new simple proposal to assess disease activity. Clin Imaging 2016; 40: 492–497.

12.

Jun

et al . Utility of the diffusion-weighted imaging for activity evaluation in Crohn’s disease patients underwent magnetic resonance enterography. BMC Gastroenterol 2015; 15: 12.

13.

Oussalah

Laurent

Bruot

et al . Diffusion-weighted magnetic resonance without bowel preparation for detecting colonic inflammation in inflammatory bowel disease. Gut 2010; 59: 1056–1065.

14.

Messaris

Chandolias

Grand

et al . Role of magnetic resonance enterography in the management of Crohn disease. Arch Surg 2010; 145: 471–475.

15.

Gallego

Echarri

Porta

et al . Ileal Crohn’s disease: MRI with endoscopic correlation. Eur J Radiol 2011; 80: e8–e12.

16.

Gallego Ojea

Echarri Piudo

Porta Vila

Crohn’s disease: the usefulness of MR enterography in the detection of recurrence after surgery. Radiologia 2011; 53: 552–559.

17.

Silverstein

Grand

Kawatu

et al . Feasibility of using MR enterography for the assessment of terminal ileitis and inflammatory activity in children with Crohn disease. J Pediatr Gastroenterol Nutr 2012; 55: 173–177.

18.

Macarini

Stoppino

Centola

et al . Assessment of activity of Crohn’s disease of the ileum and large bowel: proposal for a new multiparameter MR enterography score. La Radiologia Medica 2013; 118: 181–195.

19.

Sailer

Peloschek

Reinisch

et al . Anastomotic recurrence of Crohn’s disease after ileocolic resection: comparison of MR enteroclysis with endoscopy. Eur Radiol 2008; 18: 2512–2521.

20.

Eder

Stawczyk-Eder

Lykowska-Szuber

et al . Association between disease duration and usefulness of fecal calprotectin measurement in patients with Crohn’s disease. Pol Arch Med Wewn 2014; 124: 51–57.

21.

Yuksel

Ipek

Topal

et al . Assessment of presence and grade of activity in ileal Crohn’s disease. Turk J Gastroenterol 2014; 25: 264–270.

22.

Kim

Lee

Park

et al . Diffusion-weighted MR enterography for evaluating Crohn’s disease: how does it add diagnostically to conventional MR enterography? Inflamm Bowel Dis 2015; 21: 101–109.

23.

Eder

Katulska

Krela-Kazmierczak

et al . The influence of anti-TNF therapy on the magnetic resonance enterographic parameters of Crohn’s disease activity. Abdom Imaging 2015; 40: 2210–2218.

24.

Eder

Lykowska-Szuber

Katulska

et al . Intestinal healing after anti-TNF induction therapy predicts long-term response to one-year treatment in patients with ileocolonic Crohn’s disease naive to anti-TNF agents. Prz Gastroenterol 2016; 11: 187–193.

25.

Assa

Amitai

Greer

et al . Perianal pediatric Crohn’s disease is associated with a distinct phenotype and greater inflammatory burden. J Pediatr Gastroenterol Nutr 2017; 65: 293–298.

26.

Rimola

Rodriguez

Garcia-Bosch

et al . Magnetic resonance for assessment of disease activity and severity in ileocolonic Crohn’s disease. Gut 2009; 58: 1113–1120.

27.

Buisson

Joubert

Montoriol

et al . Diffusion-weighted magnetic resonance imaging for detecting and assessing ileal inflammation in Crohn’s disease. Aliment Pharmacol Ther 2013; 37: 537–545.

28.

Steward

Punwani

Proctor

et al . Non-perforating small bowel Crohn’s disease assessed by MRI enterography: derivation and histopathological validation of an MR-based activity index. Eur J Radiol 2012; 81: 2080–2088.

29.

Makanyanga

Pendse

Dikaios

et al . Evaluation of Crohn’s disease activity: initial validation of a magnetic resonance enterography global score (MEGS) against faecal calprotectin. Eur Radiol 2014; 24: 277–287.

30.

Pariente

Cosnes

Danese

et al . Development of the Crohn’s disease digestive damage score, the Lemann score. Inflamm Bowel Dis 2011; 17: 1415–1422.

31.

Pariente

Mary

Danese

et al . Development of the Lemann index to assess digestive tract damage in patients with Crohn’s disease. Gastroenterology 2015; 148: 52–63.e3.

32.

Rimola

Ordas

Rodriguez

et al . Magnetic resonance imaging for evaluation of Crohn’s disease: validation of parameters of severity and quantitative index of activity. Inflamm Bowel Dis 2011; 17: 1759–1768.

33.

Baliyan

Das

Sharma

et al . Diffusion weighted imaging: technique and applications. World J Radiol 2016; 8: 785–798.

34.

Warach

Chien

et al . Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology 1992; 42: 1717–1723.

35.

Hoggard

Wilkinson

Griffiths

PD.

The imaging of ischaemic stroke. Clin Radiol 2001; 56: 171–183.

36.

Oto

Zhu

Kulkarni

et al . Evaluation of diffusion-weighted mr imaging for detection of bowel inflammation in patients with Crohn’s disease. Acad Radiol 2009; 16: 597–603.

37.

Ninivaggi

Missere

Restaino

et al . MR-enterography with diffusion weighted imaging: ADC values in normal and pathological bowel loops, a possible threshold ADC value to differentiate active from inactive Crohn’s disease. Eur Rev Med Pharmacol Sci 2016; 20: 4540–4546.

38.

Dohan

Taylor

Hoeffel

et al . Diffusion-weighted MRI in Crohn’s disease: current status and recommendations. J Magn Reson Imaging 2016; 44: 1381–1396.

39.

Klang

Kopylov

Eliakim

et al . Diffusion-weighted imaging in quiescent Crohn’s disease: correlation with inflammatory biomarkers and video capsule endoscopy. Clin Radiol 2017; 72: 798. e7–e13.

40.

Kim

Jang

Park

et al . MR Enterography Assessment of Bowel Inflammation Severity in Crohn Disease Using the MR Index of Activity Score: Modifying Roles of DWI and Effects of Contrast Phases. AJR Am J Roentgenol 2017; 208: 1022–1029.

41.

Hordonneau

Buisson

Scanzi

et al . Diffusion-weighted magnetic resonance imaging in ileocolonic Crohn’s disease: validation of quantitative index of activity. Am J Gastroenterol 2014; 109: 89–98.

42.

Rimola

Alvarez-Cofino

Perez-Jeldres

et al . Increasing efficiency of MRE for diagnosis of Crohn’s disease activity through proper sequence selection: a practical approach for clinical trials. Abdom Radiol 2017; 42: 2783–2791.

43.

Lunder

Jahnsen

Bakstad

et al . Bowel Damage in Patients With Long-term Crohn’s Disease, Assessed by Magnetic Resonance Enterography and the Lemann Index. Clin Gastroenterol Hepatol 2018; 16: 75–82.e5.

44.

Chen

et al . Levels of faecal calprotectin and magnetic resonance enterocolonography correlate with severity of small bowel crohn’s disease: a retrospective cohort study. Sci Rep 2017; 7: 1970.

45.

Scardapane

Ambrosi

Salinaro

et al . Assessment of disease activity in small bowel Crohn’s disease: comparison between endoscopy and magnetic resonance enterography using MRIA and modified MRIA score. Gastroenterol Res Pract 2015; 2015: 159641.

46.

Gilletta

Lewin

Bourrier

et al . Changes in the lemann index values during the first years of Crohn’s disease. Clin Gastroenterol Hepatol 2015; 13: 1633–1640.e3.

47.

Coimbra

Rimola

O’Byrne

et al . Magnetic resonance enterography is feasible and reliable in multicenter clinical trials in patients with Crohn’s disease, and may help select subjects with active inflammation. Aliment Pharmacol Ther 2016; 43: 61–72.

48.

Buisson

Hordonneau

Goutte

et al . Diffusion-weighted magnetic resonance imaging is effective to detect ileocolonic ulcerations in Crohn’s disease. Aliment Pharmacol Ther 2015; 42: 452–460.

49.

Sato

Tamura

Narimatsu

et al . Magnetic resonance enterocolonography in detecting erosion and redness in intestinal mucosa of patients with Crohn’s disease. J Gastroenterol Hepatol 2015; 30: 667–673.

50.

Caruso

D’Inca

Scarpa

et al . Diffusion-weighted magnetic resonance for assessing ileal Crohn’s disease activity. Inflamm Bowel Dis 2014; 20: 1575–1583.

51.

Tielbeek

Makanyanga

Bipat

et al . Grading Crohn disease activity with MRI: interobserver variability of MRI features, MRI scoring of severity, and correlation with Crohn disease endoscopic index of severity. AJR Am J Roentgenol 2013; 201: 1220–1228.

52.

Rimola

Alvarez-Cofino

Perez-Jeldres

et al . Comparison of three magnetic resonance enterography indices for grading activity in Crohn’s disease. J Gastroenterol 2017; 52: 585–593.

53.

Pomerri

Al Bunni

Zuliani

et al . Assessing pediatric ileocolonic Crohn’s disease activity based on global MR enterography scores. Eur Radiol 2017; 27: 1044–1051.

54.

Kang

Choi

Chi

et al . Baseline wall thickness is lower in mucosa-healed segments 1 year after infliximab in pediatric Crohn disease patients. J Pediatr Gastroenterol Nutr 2017; 64: 279–285.

55.

Stoppino

Della Valle

Rizzi

et al . Magnetic resonance enterography changes after antibody to tumor necrosis factor (anti-TNF) alpha therapy in Crohn’s disease: correlation with SES-CD and clinical-biological markers. BMC Med Imaging 2016; 16: 37.

56.

Prezzi

Bhatnagar

Vega

et al . Monitoring Crohn’s disease during anti-TNF-alpha therapy: validation of the magnetic resonance enterography global score (MEGS) against a combined clinical reference standard. Eur Radiol 2016; 26: 2107–2117.

57.

Ordas

Rimola

Rodriguez

et al . Accuracy of magnetic resonance enterography in assessing response to therapy and mucosal healing in patients with Crohn’s disease. Gastroenterology 2014; 146: 374–382.e1.

58.

Tielbeek

Lowenberg

Bipat

et al . Serial magnetic resonance imaging for monitoring medical therapy effects in Crohn’s disease. Inflamm Bowel Dis 2013; 19: 1943–1950.

59.

Moy

Kaplan

Moran

et al . MR enterographic findings as biomarkers of mucosal healing in young patients with Crohn disease. AJR Am J Roentgenol 2016: 1–7.

60.

Buisson

Pereira

Goutte

et al . Magnetic resonance index of activity (MaRIA) and Clermont score are highly and equally effective MRI indices in detecting mucosal healing in Crohn’s disease. Dig Liver Dis 2017; 49: 1211–1217.

61.

Castiglione

Mainenti

Testa

et al . Cross-sectional evaluation of transmural healing in patients with Crohn’s disease on maintenance treatment with anti-TNF alpha agents. Dig Liver Dis 2017; 49: 484–489.

62.

Naganuma

Okuda

Hisamatsu

et al . Findings of ulceration and severe stricture on MRE can predict prognosis of Crohn’s disease in patients treated with anti-TNF treatment. Abdom Radiol 2017; 42: 141–151.

63.

Jauregui-Amezaga

Rimola

Ordas

et al . Value of endoscopy and MRI for predicting intestinal surgery in patients with Crohn’s disease in the era of biologics. Gut 2015; 64: 1397–1402.

64.

Fiorino

Bonifacio

Allocca

et al . Bowel damage as assessed by the lemann index is reversible on anti-TNF therapy for Crohn’s disease. J Crohns Colitis 2015; 9: 633–639.

65.

Fiorino

Morin

Bonovas

et al . Prevalence of bowel damage assessed by cross-sectional imaging in early Crohn’s disease and its impact on disease outcome. J Crohns Colitis 2017; 11: 274–280.

66.

Amitai

Zarchin

Lahat

et al . Structural bowel damage in quiescent Crohn’s disease. Dig Liver Dis 2017; 49: 490–494.

67.

Bhattacharya

Rao

Koutroubakis

et al . Silent Crohn’s disease predicts increased bowel damage during multiyear follow-up: the consequences of under-reporting active inflammation. Inflamm Bowel Dis 2016; 22: 2665–2671.

68.

Bodini

Giannini

De Maria

et al . Anti-TNF therapy is able to stabilize bowel damage progression in patients with Crohn’s disease. A study performed using the Lemann Index. Dig Liver Dis 2017; 49: 175–180.

69.

Kopylov

Ben-Horin

Seidman

et al . Video capsule endoscopy of the small bowel for monitoring of Crohn’s disease. Inflamm Bowel Dis 2015; 21: 2726–2735.

70.

Kopylov

Koulaouzidis

Klang

et al . Monitoring of small bowel Crohn’s disease. Expert Rev Gastroenterol Hepatol 2017; 11: 1047–1058.

71.

Greener

Klang

Yablecovitch

et al . The impact of magnetic resonance enterography and capsule endoscopy on the re-classification of disease in patients with known Crohn’s disease: a prospective Israeli IBD Research Nucleus (IIRN) study. J Crohns Colitis 2016; 10: 525–531.

72.

Rozendorn

Klang

Lahat

et al . Prediction of patency capsule retention in known Crohn’s disease patients by using magnetic resonance imaging. Gastrointest Endosc 2016; 83: 182–187.

73.

Kopylov

Yablecovitch

Lahat

et al . Detection of small bowel mucosal healing and deep remission in patients with known small bowel Crohn’s disease using biomarkers, capsule endoscopy, and imaging. Am J Gastroenterol 2015; 110: 1316–1323.

74.

Klang

Kopylov

Ben-Horin

et al . Assessment of patency capsule retention using MR diffusion-weighted imaging. Eur Radiol 2017; 27: 4979–4985.

75.

Kopylov

Klang

Yablecovitch

et al . Magnetic resonance enterography versus capsule endoscopy activity indices for quantification of small bowel inflammation in Crohn’s disease. Therap Adv Gastroenterol 2016; 9: 655–663.

76.

Klang

Amitai

Lahat

et al . Capsule endoscopy validation of the magnetic enterography global score in patients with established Crohn’s disease. J Crohns Colitis Epub ahead of print 22 November 2017. DOI: 10.1093/ecco-jcc/jjx156.

77.

Pendse

Makanyanga

Plumb

et al . Diffusion-weighted imaging for evaluating inflammatory activity in Crohn’s disease: comparison with histopathology, conventional MRI activity scores, and faecal calprotectin. Abdom Radiol 2017; 42: 115–123.

78.

Huh

Kim

Park

et al . Diffusion-weighted MR enterography to monitor bowel inflammation after medical therapy in Crohn’s disease: a prospective longitudinal study. Korean J Radiol 2017; 18: 162–172.

79.

Otten

Kok

Witteman

et al . Diagnostic performance of rapid tests for detection of fecal calprotectin and lactoferrin and their ability to discriminate inflammatory from irritable bowel syndrome. Clin Chem Lab Med 2008; 46: 1275–1280.

80.

Kopylov

Yung

Engel

et al . Fecal calprotectin for the prediction of small-bowel Crohn’s disease by capsule endoscopy: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol 2016; 28: 1137–1144.

81.

Cerrillo

Beltran

Pous

et al . Fecal calprotectin in ileal Crohn’s disease: relationship with magnetic resonance enterography and a pathology score. Inflamm Bowel Dis 2015; 21: 1572–1579.

82.

Takenaka

Ohtsuka

Kitazume

et al . Correlation of the endoscopic and magnetic resonance scoring systems in the deep small intestine in Crohn’s disease. Inflamm Bowel Dis 2015; 21: 1832–1838.

83.

Coelho

Ribeiro

Maconi

Bowel thickening in Crohn’s disease: fibrosis or inflammation? Diagnostic ultrasound imaging tools. Inflamm Bowel Dis 2017; 23: 23–34.

84.

Cellier

Sahmoud

Froguel

et al . Correlations between clinical activity, endoscopic severity, and biological parameters in colonic or ileocolonic Crohn’s disease. A prospective multicentre study of 121 cases. The Groupe d’Etudes Therapeutiques des Affections Inflammatoires Digestives. Gut 1994; 35: 231–235.

85.

Khanna

Bouguen

Feagan

et al . A systematic review of measurement of endoscopic disease activity and mucosal healing in Crohn’s disease: recommendations for clinical trial design. Inflamm Bowel Dis 2014; 20: 1850–1861.

86.

Grand

Guglielmo

Al-Hawary

MM.

MR enterography in Crohn’s disease: current consensus on optimal imaging technique and future advances from the SAR Crohn’s disease-focused panel. Abdom Imaging 2015; 40: 953–964.

A review of magnetic resonance enterography-based indices for quantification of Crohn’s disease inflammation

Abstract

Keywords

Introduction

Search strategy and study selections

Magnetic resonance index of activity (MaRIA)

Clermont score

Crohn’s disease MRI index (CDMI) and MEGS

Lemann index

Validation of the indices

Interobserver studies

Studies that compared indices

Clinical implications of MRE indices

Response to therapy and mucosal healing

MRE indices as prognostic tools

Evaluation of bowel damage in CD

Capsule endoscopy

DWI and ADC performance

Implementation of MRE-based indices as reference standards

Strengths and weaknesses of the reviewed indices

Conclusion

Footnotes

Funding

Conflict of interest statement

ORCID iD

References