Circumscribed Mass Lesions on Mammography: Dynamic Contrast-Enhanced MR Imaging to Differentiate Malignancy and Benignancy
| Autor: | Hidetaka Yamamoto, Hiroshi Honda, Yoshio Matsuo, Shuji Sakai, Takashi Okafuji, Takeshi Kamitani, Hidetake Yabuuchi, Eriko Tokunaga, Hiroyasu Soeda, Masamitsu Hatakenaka, Syoji Kuroki |
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| Rok vydání: | 2008 |
| Předmět: |
Adult
medicine.medical_specialty Adolescent Breast Neoplasms Logistic regression Malignancy Odds Young Adult Predictive Value of Tests Odds Ratio medicine Humans Mammography Radiology Nuclear Medicine and imaging Aged Probability Aged 80 and over medicine.diagnostic_test business.industry Washout Magnetic resonance imaging Odds ratio Middle Aged medicine.disease Magnetic Resonance Imaging Confidence interval Logistic Models Female Radiology Nuclear medicine business |
| Zdroj: | Magnetic Resonance in Medical Sciences. 7:195-204 |
| ISSN: | 1880-2206 1347-3182 |
| DOI: | 10.2463/mrms.7.195 |
| Popis: | Purpose: We evaluated the magnetic resonance (MR) features of breast lesions showing circumscribed mass on mammography to understand the characteristics that differentiate malignancy and benignancy. Materials and Methods: Our institutional review board approved the study, and informed consent was waived. Using logistic regression analysis, we examined morphologic and kinetic MR imaging data of 90 breast lesions (43 malignant, 47 benign) that showed circumscribed mass on mammography. Results: Features identified as having high odds for malignancy included: rim enhancement (odds ratio, 70.894; 95% confidence interval (CI), 7.525-667.938); heterogeneous enhancement (odds ratio, 10.839; 95% CI, 1.032-113.856); and washout dynamic pattern (odds ratio, 46.262; 95% CI, 3.716-575.901). Combinations of washout dynamic pattern and either rim or heterogeneous enhancement reflected excessively high prediction probability for malignancy (>0.95), whereas combinations lacking washout dynamic pattern and with either homogeneous enhancement or dark internal septation revealed excessively low prediction probability for malignancy ( |
| Databáze: | OpenAIRE |
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