MR Imaging Findings and Texture Analysis of Pure and Mixed Mucinous Breast Carcinoma

Song Myung Won; Lim Hyo Soon; 이효재; 박민호; Lee Ji Shin

doi:10.14449/jbd.2023.11.1.11

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저자정보: Song Myung Won (Department of Radiology Chonnam National University Hwasun Hospital Chonnam National University Medical School Hwasun Korea.) Lim Hyo Soon (Department of Radiology Chonnam National University Hwasun Hospital Hwasun Korea.Department of Radiology Chonnam National University Medical School Gwangju Korea.) 이효재 (Department of Radiology Chonnam National University Hwasun Hospital Chonnam National University Medical School Hwasun Korea.) 박민호 (Department of Surgery Chonnam National University Hwasun Hospital Chonnam National University Medical School Hwasun Korea.) Lee Ji Shin (Department of Pathology Chonnam National University Hwasun Hospital Chonnam National University Medical School Hwasun Korea.)

저널정보: 한국유방암학회 Journal of Breast Disease Journal of Breast Disease 제11권 제1호

발행연도: 2023.6

수록면: 11 - 20 (10page)

DOI: 10.14449/jbd.2023.11.1.11

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Purpose: To evaluate the ability of magnetic resonance imaging (MRI) findings and texture features to differentiate between pure and mixed subtypes of mucinous breast carcinoma.Methods: This retrospective study included 136 patients who were surgically diagnosed with mucinous breast carcinoma and underwent pre-treatment breast MRI between January 2008 and December 2020. All clinicopathological and MRI features were reviewed. For texture analysis, regions of interest of the tumors were drawn manually on T2-weighted images and first-subtraction T1-weighted images. Texture feature extraction and analysis were conducted using open-source 3D slicer software. Univariate and multivariate analyses were used to identify significant MRI findings and texture features to differentiate between the two subtypes. To evaluate the diagnostic performance of the texture features, a receiver operating characteristic curve analysis was conducted.Results: Among the MRI findings, very high signal intensity on T2-weighted images was significantly associated with pure mucinous breast carcinoma (odds ratio=5.23, <i>p</i>=0.001). The homogeneity and skewness texture features from T2-weighted imaging showed statistically significant differences between pure and mixed subtypes, and the areas under the receiver operating curve were 0.749 and 0.815, respectively.Conclusion: Signal intensity and texture features on T2- weighted images derived from breast MRI can assist in the differential diagnosis of pure and mixed types of mucinous breast carcinoma.

#Breast #Carcinoma #Mucinous #Magnetic resonance imaging

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Song Myung Won

소속기관 Department of Radiology Chonnam National University Hwasun Hospital Chonnam National University Medical School Hwasun Korea.