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Frequency-Domain Dynamic Light Scattering (FEDSA) for in vivo screening of breast tissue abnormalities: A proof-of-concept study

Janeth Fern'andez-Pinto, Á. Gómez-Torrado, David A. Miranda

Comput. Methods Programs Biomed., 2024

26 participants · 1 citation

Abstract

BACKGROUND AND OBJECTIVE

Dynamic light scattering (DLS) provides valuable information on nanoscale and microscale dynamics, but its systematic application to in vivo tissue evaluation remains limited. This study introduces field effect detection by spectral analysis (FEDSA), a frequency-domain approach designed to analyze backscattered light signals and identify tissue abnormalities associated with the field cancerization effect in breast tissue. The objective was to establish a proof of concept showing that FEDSA can differentiate normal from abnormal tissue.

METHODS

A two-stage proof-of-concept study was conducted. First, FEDSA was validated using suspensions of alumina particles (60-300 nm and 100-400 nm) and polystyrene particles (315 nm) to test its performance as a dynamic light scattering technique. Second, in vivo measurements were obtained from 26 women (19 with normal tissue and 7 with abnormal tissue confirmed by imaging or clinical diagnosis). Power spectra were decomposed into frequency bands, transformed through principal component analysis, and analyzed by logistic regression.

RESULTS

FEDSA reproduced the expected behavior of a dynamic light scattering-type technique when applied to suspensions of particles. In breast tissue experiments, statistically significant differences were observed between normal and abnormal groups, particularly in the 150-160 kHz frequency band. A PCA-logistic regression model showed discriminatory potential. The ROC analysis yielded…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 26 participants or records.

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