ArticleMaedica2025
Diagnostic Accuracy of Breast Ultrasonography Parameters in Idiopathic Granulomatous Mastitis Patients: a Cross-Sectional Study.
Article in Maedica, 2025. 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.
- Pittsburgh Classification and Treatment Algorithm for Idiopathic Granulomatous Mastitis: A Multicenter Cohort Study.European journal of breast health · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Idiopathic granulomatous mastitis (IGM) is a rare inflammatory breast condition. Accurate diagnosis is crucial for effective management. The present study aimed to evaluate the diagnostic accuracy of breast ultrasonography (US) parameters in IGM patients. Methods: This cross-sectional study enrolled patients with IGM. Patients were first assessed by their pathology as a reference test, immediately followed by the breast US as an index test. The binary data of breast US parameters (parenchymal heterogeneity, irregular lesion border, axillary lymphadenopathy, fistula, hyperkeratosis and well-defined heterogeneous lesion) was assessed and reported with diagnostic parameters. Results: Finally, 140 patients were enrolled in this study. Key US parameters for diagnostic accuracy were identified: irregular lesion border (sensitivity: 81.8%, specificity: 62.5%), fistula (predicitive positive value: 100%) and hyperkeratosis (predicitive positive value: 100%). Axillary lymphadenopathy and parenchymal Heterogeneity showed lower diagnostic value. The optimal ultrasound score cut-point was 1.5, with a Youden index of 0.81, sensitivity of 0.81, and specificity of 1.00. The area under the ROC curve was 0.95. Conclusion: This study highlights the importance of specific US parameters in diagnosing IGM, providing valuable insights for clinicians and radiologists.
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