Peritumoral-to-tumoral apparent diffusion coefficient ratio as a marker of tumor microenvironment activity across breast cancer molecular subtypes
Abstract
PURPOSE: This study aimed to evaluate the prognostic significance of tumoral apparent diffusion coefficient (tADC), peritumoral ADC (pADC), and the peritumoral-to-tumoral ADC (p/tADC) ratio in invasive breast cancers using high-resolution diffusion-weighted imaging. METHODS: A retrospective cohort of 149 patients with invasive breast cancer was analyzed. pADC, tADC, and p/tADC values were independently measured by two experienced radiologists. The associations between these parameters and histological grade, receptor status, Ki-67 index, and molecular subtypes were assessed. Interobserver agreement was evaluated using the intraclass correlation coefficient (ICC), and multivariate logistic regression was performed to identify independent predictors. RESULTS: < 0.01). The p/tADC ratio emerged as an independent predictor of high-grade tumors and Ki-67 ≥ 20%. Excellent interobserver agreement was observed for all ADC measurements (ICC > 0.90). CONCLUSION: The p/tADC ratio reflects stromal and microenvironmental alterations associated with tumor aggressiveness and demonstrates stronger prognostic relevance than tADC alone. Incorporating the p/tADC ratio into routine magnetic resonance imaging (MRI) interpretation may improve preoperative risk stratification and support personalized treatment planning in invasive breast cancer. CLINICAL SIGNIFICANCE: The p/tADC ratio reflects stromal and microenvironmental changes associated with tumor aggressiveness and may serve as a non-invasive imaging biomarker. Its integration into preoperative MRI protocols may facilitate risk stratification and personalized treatment planning.
Fields of Study & Subjects
MRI in cancer diagnosis
Breast Lesions and Carcinomas
Radiomics and Machine Learning in Medical Imaging
Publication details
- Journal / source
- Diagnostic and Interventional Radiology
- Volume
- 32
- Issue
- 6
- Pages
- 769–776
- Publication date
- 26 February 2026
- Language
- EN