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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Enhanced recurrence risk stratification for stages Ⅱ-Ⅲ breast cancer using MRI-based structure habitat imaging
Guangsong Wang1, Dafa Shi2, Qiu Guo1
1Department of Radiology, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Purpose:
To identify robust tumor habitat subregions using pre-treatment MRI and assess the prognostic value of the resulting phenotypes for recurrence risk stratification in stages II-III breast cancer.
Methods:
This multicenter retrospective study included 842 women with stages II-III breast cancer who received pre-treatment MRI scans and subsequent surgical resection from three centers (multicenter discovery cohort: n = 415; external test cohort: n = 427). An unsupervised clustering-based habitat characterization framework was applied to delineate tumor subregions and identify distinct structure habitat phenotypes (SH-phenotypes). Recurrence-free survival (RFS) was evaluated using Kaplan-Meier analysis and multivariate Cox regression. Fine-Gray competing risk regression was additionally used to account for death as a competing event.
Results:
Two structural subregions (central and peripheral) with unique radiomic patterns and three SH-phenotypes with distinct RFS were identified in the discovery cohort and validated in the test cohort (log-rank p < 0.001 for both). The SH-phenotypes remained independent prognostic predictors after adjustment for tumor size, nodal involvement, clinical subtype, pathological grade, and patient age [test cohort: SH-phenotype 2 vs 1, hazard ratio (HR) = 2.29, p = 0.048; SH-phenotype 3 vs 1, HR = 3.45, p = 0.006]. Similar results were obtained in the competing risk regression analysis.
Conclusions:
Two structural habitat subregions were identified, and the derived SH-phenotypes provide additional prognostic value beyond clinicopathological factors for recurrence risk stratification in stages II-III breast cancer.
Key Points:
Question Precise evaluation of recurrence risk is crucial for tailoring therapy for stages II-III breast cancer, but it remains challenging with classical clinicopathological factors. Findings Pre-treatment MRI-based SH analysis identified three phenotypes with distinct RFS and recurrence cumulative incidence, independent of clinicopathological factors. Clinical relevance The clinical utility of this phenotyping lies in its role as an adjunct to classical clinicopathological factors, enhancing recurrence risk stratification for optimized treatment planning in stages II-III breast cancer.
