Can Mammography and Magnetic Resonance Imaging Predict the Preoperative Size and Nuclear Grade of Pure Ductal Carcinoma In Situ?
Hülya Çetin Tunçez, Merve Gürsoy Bulut, Zehra Hilal Adıbelli, Ahmet Bozer, Bülent Ahmet Kart, Demet Kocatepe Çavdar

TL;DR
This study explores how mammography and MRI can predict the size and severity of pure ductal carcinoma in situ before surgery.
Contribution
The study identifies MRI as more effective than mammography for detecting and estimating DCIS size and links imaging features to nuclear grade.
Findings
MRI detected DCIS in 95.5% of patients, outperforming mammography at 91.1%.
MRI diffusion restriction was associated with high-grade DCIS (p = 0.043).
Both imaging methods overestimated tumor size compared to histopathological measurements.
Abstract
Background/Objectives: Thirty to fifty percent of ductal carcinoma in situ (DCIS) cases are high-grade and at risk of progressing to invasive carcinoma. The most important treatment-related risk factor for recurrence is the presence of residual DCIS. The aim of our study was to evaluate the relationship between size and imaging features on preoperative mammography and magnetic resonance imaging (MRI) and histopathological size and nuclear grade in patients with pure DCIS. Methods: Between 2015 and 2023, 90 patients who underwent surgery for DCIS, had no microinvasive/invasive component, and underwent a preoperative mammography and MRI were included in this study. Results: DCIS was detected in 91.1% of patients using mammography and 95.5% using MRI. Microcalcifications (MCs) were most common in mammography (85.4%). Thin pleomorphic and thin linear branching MCs were detected in 42% of…
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · MRI in cancer diagnosis · Breast Cancer Treatment Studies
