There is an urgent need to improve the early diagnosis of breast cancer.
OBJECTIVE:
The present study applied spectral and beat-to-beat analyses to laser-Doppler (LDF)
data sequences measured on the skin surface on the back of the right hands, with the aim
of comparing the different peripheral microcirculatory-blood-flow (MBF) perfusion
condition between breast-cancer and control subjects.
METHODS:
ECG and LDF signals were obtained simultaneously and noninvasively from 23
breast-cancer patients and 23 age-matched control subjects. Time-domain beat-to-beat
indexes and their variability parameters were calculated. Spectral indexes were
calculated using the Morlet wavelet transform.
RESULTS:
The beat-to-beat LDF pulse width and its variability were significantly smaller in
cancer patients than in the controls. The energy contributions of endothelial-, neural-,
and myogenic-related frequency bands were also significantly smaller in cancer
patients.
CONCLUSIONS:
The present study has revealed significant differences in the beat-to-beat and spectral
indexes of skin-surface-acquired LDF signals between control subjects and breast-cancer
patients. This illustrates that LDF indexes may be useful for monitoring the changes in
the MBF perfusion condition induced by breast cancer. Since the breast-cancer patients
were at TNM stages 0– 2, the present findings may aid the development of indexes for
detecting breast cancer.
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