Morphology evaluation of nonmass enhancement on breast MRI: Effect of a three-step interpretation model for readers' performances and biopsy recommendations. Issue 2 (February 2016)

• Record Type: Journal Article
• Authors: Shimauchi, Akiko; Ota, Hideki; Machida, Youichi; Yoshida, Tamiko; Satani, Nozomi; Mori, Naoko; Takase, Kei; Tozaki, Mitsuhiro
• Is Part Of: European journal of radiology. Volume 85:Issue 2(2016)
• Page Start: 480
• Page End: 488
• Publication Date: 2016-02
• Subjects: Radiology -- Breast -- Magnetic resonance imaging -- Cancer -- Breast tumors; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2015.11.043
• Languages: English
• ISSNs: 0720-048X

Abstract

Graphical abstract: Highlights: Nonmass lesion 3-step interpretation model improves less-experienced readers' performance. Nonmass lesion 3-step interpretation model improves readers' mean sensitivity. Branching, clumped, clustered ring enhancement signs are predictors of malignancy. Abstract: 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.