Data from Changes in Diffuse Optical Tomography Images During Early Stages of Neoadjuvant Chemotherapy Correlate with Tumor Response in Different Breast Cancer Subtypes
Year: 2023
Type: other
Abstract: Purpose: This study's primary objective was to evaluate the changes in optically derived parameters acquired with a diffuse optical tomography breast imaging system (DOTBIS) in the tumor volume of patients with breast carcinoma receiving neoadjuvant chemotherapy (NAC). Experimental Design: In this analysis of 105 patients with stage II–III breast cancer, normalized mean values of total hemoglobin (ctTH{b_N}$), oxyhemoglobin (ct{O_2}H{b_N}$), deoxy-hemoglobin concentration (ctHH{b_N}$), water, and oxygen saturation (St{O_2}_N$) percentages were collected at different timepoints during NAC and compared with baseline measurements. This report compared changes in these optical biomarkers measured in patients who did not achieve a pathologic complete response (non-pCR) and those with a pCR. Differences regarding molecular subtypes were included for hormone receptor–positive and HER2-negative, HER2-positive, and triple-negative breast cancer. Results: At baseline, ctHH{b_N}$ was higher for pCR tumors (3.97 ± 2.29) compared with non-pCR tumors (3.00 ± 1.72; P = 0.031). At the earliest imaging point after starting therapy, the mean change of ctHH{b_N}$ compared with baseline ({\Delta _{TP1}}ctHH{b_N}$) was statistically significantly higher in non-pCR (1.23 ± 0.67) than in those with a pCR (0.87 ± 0.61; P < 0.0005), and significantly correlated to residual cancer burden classification (r = 0.448; P < 0.0005). {\Delta _{TP1}}ctHH{b_N}$ combined with HER2 status was proposed as a two-predictor logistic model, with AUC = 0.891; P < 0.0005; and 95% confidence interval, 0.812–0.969. Conclusions: This study demonstrates that DOTBIS measured features change over time according to tumor pCR status and may predict early in the NAC treatment course whether a patient is responding to NAC.
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Award: G7418193128
OpenAlex ID: W4361958532