Changes in kinetic heterogeneity of breast cancer via computer-aided diagnosis on MRI predict the pathological response to neoadjuvant systemic therapy.

Autor: Hwangbo, Lee, Kim, Jin You, Kim, Jin Joo, Lee, Nam Kyung, Kim, Suk
Předmět:
Zdroj: European Radiology; Jan2023, Vol. 33 Issue 1, p440-449, 10p, 2 Color Photographs, 1 Diagram, 4 Charts, 1 Graph
Abstrakt: Objective: To evaluate whether the computer-aided diagnosis (CAD)–extracted kinetic heterogeneity of breast cancer on MRI and changes therein during treatment were associated with the pathological response to neoadjuvant systemic therapy (NST). Materials and methods: Consecutive patients with invasive breast cancer, who underwent NST followed by surgery between 2014 and 2020, were retrospectively evaluated. Using a commercial CAD system, kinetic features (angiovolume, peak enhancement, delayed enhancement profiles, and kinetic heterogeneity) of breast cancer were assessed with pre- and mid-treatment MRI. Multivariate logistic regression was used to identify the associations between CAD-extracted kinetic features and pathological complete response (pCR). Results: A total of 130 patients (mean age, 55 years) were included, 37 (28.5%) of whom achieved a pCR. When the pre- and mid-treatment MRI data were compared, the pCR group exhibited greater changes in kinetic heterogeneity (86.14 ± 32.05% vs. 8.50 ± 141.01%, p < 0.001) and angiovolume (95.20 ± 14.29% vs. 19.89 ± 320.16%; p < 0.001) than the non-pCR group. Multivariate regression analysis showed that a large change in kinetic heterogeneity (odds ratio (OR) = 1.030, p < 0.001), age (OR = 0.931, p = 0.005), progesterone receptor negativity (OR = 7.831, p = 0.001), and HER2 positivity (OR = 3.455, p = 0.017) were associated with pCR. Conclusions: A greater change in the CAD-extracted kinetic heterogeneity of breast cancer between pre- and mid-treatment MRI was associated with a pCR in patients on NST. Key Points: A greater change in kinetic heterogeneity was associated with a pathological complete response. Computer-aided diagnosis–extracted kinetic heterogeneity might serve as a quantitative biomarker of therapeutic efficacy. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index