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Abstract

BACKGROUND:

Improved visualization of lung cancer-associated vessels is vital.

OBJECTIVE:

To evaluate the efficacy of 3-D quantitative CT in lung cancer-associated pulmonary vessel assessment.

METHODS:

Vascular CT changes were assessed visually and using FACT-Digital lung TM software (n = 162 patients, 178 controls). The total number of pulmonary vessels (TNV) and mean lumen area of pulmonary vessels (MAV) vertical to cross-sections of fifth/sixth-generation bronchioles were measured.

RESULTS:

Visual investigation revealed fewer ipsilateral pulmonary vascular abnormalities in lung cancer (151/162) than did quantitative CT (162/162), and required more time (3.2±1.5 vs. 2.5±1.3 min) (P < 0.05). CT measurements revealed that the TNV vertical to the fifth-generation bronchial cross-section of the ipsilateral, contralateral, and control groups was 14.58±4.75, 9.58±3.74, and 10.22±4.07 and the MAV in these groups was 99.70±26.20, 58.76±29.29, and 57.76±18.32, respectively. The TNV vertical to the sixth-generation bronchial cross-section of the ipsilateral, contralateral, and control groups was 16.64±5.14, 11.59±4.06, and 11.75±4.16 and the MAV was 110.22±31.47, 67.62±30.41, and 60.24±16.18, respectively. The TNV and MAV in ipsilateral lung cancer tissues exceeded those in the contralateral side and control group tissues (P < 0.001).

CONCLUSIONS:

Automated 3-D quantitative CT could successfully characterize pulmonary vessels and their lung cancer-associated changes.

Keywords

Lung cancer CT total number of vessels mean lumen area of vessels quantitative measurement

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References

Chen ,

Zheng ,

P.D.

Baade , et al., Cancer statistics in China 2015, CA Cancer J Clin 66(2) (2016), 115–132.

Michels and

Wolf , Stratified treatment in lung cancer, Oncol Res Treat 39(12) (2016), 760–766.

D.T.

Nguyen ,

J.P.

Fontaine ,

L.A.

Robinson , et al., Temporal survival improvement for stage-II (T3N0M0) lung adenocarcinoma after pulmonary lobectomy, J Thorac Oncol 11(10) (2016), s195.

Zhao ,

Tong ,

Lin , et al., Characterization of solitary pulmonary nodules with 18F-FDG PET/CT relative activity distribution analysis, European Radiology 25(7) (2015), 1837–1844.

M.T.

Truong ,

J.P.

Ko ,

S.E.

Rossi , et al., Update in the evaluation of the solitary pulmonary nodule. Radiographics, 34(6) (2014), 1658–1679.

H.Y.

Lee and

K.S.

Lee , Ground-glass opacity nodules: Histopathology, imaging evaluation, and clinical implications, J Thorac Imaging 26(2) (2011), 106–118.

Ma ,

Yu ,

Shen ,

Wang ,

He and

Guo , A three-dimensional approach for identifying small pulmonary vessels in smokers, J Xray Sci Technol 25(3) (2017), 391–402.

Duilio ,

Mirko ,

Luca , et al., Standardized uptake value and radiological density attenuation as predictive and prognostic factors in patients with solitary pulmonary nodules: Our experience on 1592 patients, J Thorac Dis 9(8) (2017), 2551–2559.

Yu ,

Wei ,

Li , et al., CT Quantification of pulmonary vessels in COPD as identified by 3D automated approach, Medicine(Baltimore) 95(40) (2016), e5095.

10.

Matsuura ,

Kawata ,

Yanagawa , et al., Quantitative assessment of cross-sectional area of small pulmonary vessels in patients with COPD usinginspiratory and expiratory MDCT, Eur J Radiol 82(10) (2013), 1804–1810.

11.

Matsuoka ,

G.R.

Washko ,

Yamashiro , et al., Pulmonary hypertension and CT measurement of small pulmonary vessels in severe emphysema, Am J Respir Crit Care Med 181(3) (2010), 218–225.

12.

Pu ,

Fuhrman ,

W.F.

Good ,

F.C.

Sciurba and

Gur , A differential geometric approach to automated segmentation of human airway tree, IEEE Trans Med Imaging 30 (2011), 266–278.

13.

Pu ,

Roos ,

C.A.

Yi ,

Napel ,

G.D.

Rubin and

D.S.

Paik , Adaptive border marching algorithm: Automatic lung segmentation on chest CT images, Comput Med Imaging Graph 32 (2008), 452–462.

14.

Pu ,

J.K.

Leader ,

Zheng ,

Knollmann ,

Fuhrman ,

F.C.

Sciurba and

Gur , A computational geometry approach to automated pulmonary fissure segmentation in CT examinations, IEEE Tran Med Imaging 28 (2009), 710–719.

15.

Pu ,

Zheng ,

J.K.

Leader ,

Fuhrman ,

Knollmann ,

Klym and

Gur , Pulmonary lobe segmentation in CT examinations using implicit surface fitting, IEEE Trans Med Imaging 28 (2009), 1986–1996.

16.

Guo ,

Higashi ,

Ueda , et al., VEGF-A and its isoform VEGF mRNA expression measured by quantitative realtime RTPCR: Correlation with 18F-FDG uptake and aggressiveness of lung adenocarcinoma: Preliminary study, Ann NuclMed 25(1) (2011), 29–36.

17.

Chakra ,

J.L.

Pujol ,

P.J.

Lamy , et al., Circulating serum vascular endothelial growth factor is not a prognostic factor of non-small cell lung cancer, J Thorac Oncol 3(10) (2008), 1119–1126.

18.

E.O.

Hanrahan ,

A.J.

Ryan ,

Mann , et al., Baseline vascular endothelial growth factor concentration as a potential predictive marker of benefit from Vandetanibin non-small cell lung cancer, Clin Cancer Res Clin Cancer Res 15(10) (2009), 3600–3609.

19.

M.Q.

Kou ,

Yu and

X.S.

Xiao , Computed tomography angiography of bronchial artery in primary lung cancer, Mil Med J S Chin 28(6) (2014), 567–569.

20.

F.F.

Zhang ,

G.Q.

Su and

Zhang , Clinical research of bronchial artery imaging by 64 -slice CT in primary lung cancer, Inner Mongolia Med J 46(3) (2014), 267–269.

21.

W.T.

Wang and

X.Z.

Xiao , Multi-slice spiral CT imaging of bronchial arteries in patients with lung cancer, Practical Clinical Medicine 15(8) (2014), 87–92.

22.

X.S.

Xiao ,

Yu ,

H.M.

Li ,

S.Y.

Liu ,

C.Z.

Li and

Liu , Impact of multi-layer spiral CT angiography of bronchial artery and pulmonary artery in assessment of the main blood supply to the primary lung cancer, Chin J Oncol 28(4) (2006), 302–305.

23.

Y.Q.

Yang ,

Lv ,

Gao ,

Jin ,

Wu ,

Jin ,

Wu and

S.H.

Zhao , Correlations between vessel changes and the histopathologic subtypes of lung adenocarcinoma with pure ground-glass nodule on computed tomography, Acta Academiae Medicinae Sinicae 38(2) (2016), 182–186.

24.

Wang ,

K.R.

Liang ,

X.G.

Liu ,

J.A.

Wang ,

J.H.

Kang and

M.Z.

Liang , Relationship between peripheral lung cancer and the surrounding bronchi, pulmonary arteries, pulmonary veins: A multidetector CT observation, Clinical Imaging 35 (2011), 184–192.

25.

Yu ,

Li ,

B.Y.

Wu ,

Li ,

Deng and

Y.M.

Guo , Computerized identification of bronchiectasis using a 3D quantitative CT protocol, Journal of Medical Imaging and Health Informatics 6(5) (2016), 1303–1308.

26.

Yu ,

X.M.

Xin ,

Li ,

J.C.

Ma ,

J.G.

Gao ,

C.W.

Jin and

Y.M.

Guo , Effect of computed tomography dose on quantitative measurement and automated segmentation of airway tree, Journal of Medical Imaging and Health Informatics 5(7) (2015), 1519–1523.

Morphological analysis of blood vessels near lung tumors using 3-D quantitative CT

Abstract

BACKGROUND:

OBJECTIVE:

METHODS:

RESULTS:

CONCLUSIONS:

Keywords

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References