Morphology evaluation of nonmass enhancement on breast MRI: Effect of a three-step interpretation model for readers’ performances and biopsy recommendations
Autor: | Kei Takase, Youichi Machida, Hideki Ota, Nozomi Satani, Tamiko Yoshida, Akiko Shimauchi, Naoko Mori, Mitsuhiro Tozaki |
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Rok vydání: | 2016 |
Předmět: |
Adult
medicine.medical_specialty Multivariate analysis Breast imaging Biopsy Breast Neoplasms Malignancy Logistic regression Sensitivity and Specificity 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine Humans Breast MRI Radiology Nuclear Medicine and imaging Breast Aged Probability Retrospective Studies Aged 80 and over Observer Variation medicine.diagnostic_test business.industry Univariate Reproducibility of Results General Medicine Middle Aged medicine.disease Magnetic Resonance Imaging ROC Curve 030220 oncology & carcinogenesis Female Radiology business Clustered Ring Enhancement |
Zdroj: | European Journal of Radiology. 85:480-488 |
ISSN: | 0720-048X |
Popis: | Objective To evaluate and compare the use of a newly introduced interpretation model for breast nonmass enhancement (NME, defined as an area of enhancement without a three-dimensional, space-occupying lesion) with the use of the standard interpretation method based on BI-RADS. Materials and methods Two expert and two less-experienced breast imaging radiologists performed reading sessions of 86 malignant and 64 benign NME lesions twice. First, radiologists characterized NME using BI-RADS descriptors and assessed the likelihood of malignancy and need for a biopsy. Second, the likelihood of malignancy and need for a biopsy were assessed with the use of the model, in which three-step characterization of morphological features were performed: (1) selection of distribution modifiers, (2) homogeneous vs . heterogeneous internal enhancement (IE) pattern, and (3) evaluation of presence of "clumped", "clustered ring enhancement (CRE)", and "branching" IE signs. Multireader-multicase receiver operating characteristic analysis was used to evaluate observers' performances. Univariate and multivariate logistic regression analyses were performed for morphology descriptors. Results With use of the model, average Az of less-experienced radiologists (0.77–0.83; p =0.013) and average sensitivity of all radiologists (96.2–98.2%; p =0.007) improved significantly. NPV also improved but nonsignificantly (81.1–91.9%; p =0.055). Multivariate analyses of the second reading showed branching, clumped, and CRE signs to be significant predictors of malignancy in the results of 3, 2, and 2 readers, respectively. Conclusion The three-step interpretation model for NME has the potential to improve less-experienced radiologists' performances, making them comparable to expert breast imagers. |
Databáze: | OpenAIRE |
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