Predictive Value of Dimensional and Functional MRI Parameters on Mid-Treatment MRI for Pathologic Complete Response in Breast Cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: To evaluate the predictive performance of dimensional and functional magnetic resonance imaging (MRI) parameters obtained from mid-treatment breast MRI for forecasting pathologic complete response (pCR) in patients with locally advanced breast cancer (LABC) undergoing neoadjuvant chemotherapy (NAC). Materials and Methods: Sixty-five women with LABC who underwent NAC followed by surgery were retrospectively included. Quantitative MRI parameters-including % change (Δ%) in longest diameter, bidimensional size, tumor volume, apparent diffusion coefficient (ADC), and enhancement percentage (Epeak) -were calculated between pre- and mid-NAC MRI. Receiver operating characteristic (ROC) analysis and logistic regression were used to identify predictors of pCR. Logistic regression and ROC analysis (with DeLong's test) were used to assess associations with pCR and compare area under the curves (AUCs). Results: >0.05). Conclusion: Mid-treatment MRI biomarkers, particularly Δ% longest diameter and Δ% ADC value, are effective early predictors of pCR and may support individualized treatment strategies during NAC.
Authors: Ahmet Bozer, Levent Altın, Hamza Eren Güzel
Institution: İzmir Şehir Hastanesi
Language: English
Topic: MRI in cancer diagnosis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415463570
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