ArticleRadiology. Imaging cancer2026
Automated Cluster-based Quantitative Analysis of Ultrafast DCE MRI for Differential Breast DCIS Grading.
Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Beyond Histology: Evaluating Ultrafast DCE MRI Texture Analysis for Breast DCIS Grading.Radiology. Imaging cancer · 2026Article
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8 authors.
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Abstract
Purpose To assess whether k-means clustering (KMC) analysis of ultrafast dynamic contrast-enhanced (DCE) MRI kinetics can help differentiate ductal carcinoma in situ (DCIS) grades and identify aggressive lesions. Materials and Methods In this retrospective study of patients with DCIS who underwent ultrafast DCE MRI (3.0-9.0 seconds per image) between May 2015 and September 2024, KMC was performed to classify the breast parenchyma, including lesion voxels, into five clusters regarding maximum slope (
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