Nunes L W
Department of Radiology, MCP Hahnemann University School of Medicine, Philadelphia, Pennsylvania 19102, USA.
Magn Reson Imaging Clin N Am. 2001 May;9(2):303-20, vi.
Architectural features extracted from high spatial resolution MR images of the breast can help distinguish malignant from benign breast abnormalities and can help predict specific histopathologic diagnoses. Various breast pathologies consistently display certain MR architectural features. Individual architectural features have been incorporated into interpretation models that can improve the diagnostic performance of MR imaging over the use of individual features alone.
从乳腺高空间分辨率磁共振成像(MR)中提取的结构特征有助于区分乳腺恶性病变与良性病变,还能帮助预测具体的组织病理学诊断。各种乳腺病理情况始终会呈现出某些MR结构特征。个别结构特征已被纳入解读模型中,相较于单独使用个别特征,这些模型能够提高MR成像的诊断效能。