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
Rok vydání: 2016
Předmět:
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