Revisiting Nonmass Enhancement in Breast MRI: Analysis of Outcomes and Follow-Up Using the Updated BI-RADS Atlas

被引:29
|
作者
Chikarmane, Sona A. [1 ,2 ]
Michaels, Aya Y. [1 ]
Giess, Catherine S. [1 ,2 ]
机构
[1] Harvard Med Sch, Brigham & Womens Hosp, Dept Radiol, 75 Francis St, Boston, MA 02115 USA
[2] Harvard Med Sch, Dana Farber Canc Inst, Dept Imaging, Boston, MA 02115 USA
关键词
breast; clustered ring enhancement; MRI; nonmass enhancement; DIFFERENTIAL-DIAGNOSIS; T2-WEIGHTED IMAGES; LESIONS; CANCER; WOMEN; MAMMOGRAPHY; MALIGNANCY; RISK;
D O I
10.2214/AJR.17.18086
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The purpose of this study is to assess the frequency of reclassification of nonmass enhancement (NME) as background parenchymal enhancement (BPE) and to determine positive predictive values (PPVs) of NME descriptors using the revised BI-RADS atlas. MATERIALS AND METHODS. A retrospective review of our institution's MRI database from January 1, 2009, through March 30, 2012, identified 6220 contrast-enhanced breast MRI examinations. All findings prospectively assessed as NME and rated as BI-RADS categories 3, 4, and 5 (n = 386) were rereviewed in consensus by two radiologists who were blinded to pathologic findings with the fifth edition of the BI-RADS lexicon. Findings considered as postsurgical, associated with known cancers, NME given a BI-RADS category 3 assessment before 2009, previously biopsied, and those reclassified as BPE, focus, or mass were excluded (n = 181). Medical records were reviewed for demographics and outcomes. RESULTS. Two hundred five women were included (mean age, 48.8 years; range, 21-84 years). Seventy-seven of 386 findings (20.0%) were reclassified as BPE, and patients with BPE were younger than those with NME (mean age, 43.9 years; range, 31-62 years) (p = 0.003). Pathology results for 144 of 205 (70.2%) patients included 52 malignant, 11 high-risk, and 81 benign lesions. The highest PPVs for distribution patterns were 34.5% (10/29) for segmental and 100.0% (3/3) for diffuse distribution. The highest PPVs for internal enhancement patterns were 36.7% (11/30) for clustered ring enhancement and 27.5% (11/40) for clumped enhancement. No difference for NME malignancy rate was noted according to BPE (10/52 [19.2%] marked or moderate; 42/153 [27.5%] mild or minimal, p = 0.24). Thirty-two percent (17/52) of malignant NMEs had high T2 signal. CONCLUSION. Careful assessment of findings as BPE versus NME can improve PPVs, particularly in younger women. Although clustered ring enhancement had one of the study's highest PPVs, this number falls below previously published rates. Reliance on T2 signal as a benign feature may be misleading, because one-third of malignancies had T2 signal.
引用
收藏
页码:1178 / 1184
页数:7
相关论文
共 50 条
  • [31] Diagnostic validity of abbreviated breast MRI in the diagnosis of breast cancer: a comparative study to the full breast MRI protocol using BI-RADS
    Ebaid, Noha Yahia
    Assy, Mostafa Mohamad
    Eldin, Ahmed M. Alaa
    POLISH JOURNAL OF RADIOLOGY, 2024, 89 : e80 - e87
  • [32] Synchronous BI-RADS Category 3 Lesions on Preoperative Ultrasonography in Patients with Breast Cancer: Is Short-Term Follow-Up Appropriate?
    Lee, Seokwon
    Jung, Younglae
    Bae, Youngtae
    JOURNAL OF BREAST CANCER, 2015, 18 (02) : 181 - 186
  • [33] Breast ultrasound surveillance with image fusion technique in a short-interval follow-up for BI-RADS category 3 mass lesions
    Nakano, S.
    Fujii, K.
    Kousaka, J.
    Mouri, Y.
    Ando, T.
    CANCER RESEARCH, 2017, 77
  • [34] Role of breast MRI BI-RADS descriptors in discrimination of non-mass enhancement lesion: A systematic review & meta-analysis
    Arian, Arvin
    Athar, Mohammad Mobin Teymouri
    Nouri, Shadi
    Ghorani, Hamed
    Khalaj, Fattaneh
    Hejazian, Seyyed Sina
    Shaghaghi, Shiva
    Beheshti, Rasa
    EUROPEAN JOURNAL OF RADIOLOGY, 2025, 185
  • [35] Assessment of Interradiologist Agreement Regarding Mammographic Breast Density Classification Using the Fifth Edition of the BI-RADS Atlas
    Ekpo, Ernest U.
    Ujong, Ujong Peter
    Mello-Thoms, Claudia
    McEntee, Mark F.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2016, 206 (05) : 1119 - 1123
  • [36] Computer-aided evaluation as an adjunct to revised BI-RADS Atlas: improvement in positive predictive value at screening breast MRI
    Hye Mi Gweon
    Nariya Cho
    Mirinae Seo
    A Jung Chu
    Woo Kyung Moon
    European Radiology, 2014, 24 : 1800 - 1807
  • [37] Computer-aided evaluation as an adjunct to revised BI-RADS Atlas: improvement in positive predictive value at screening breast MRI
    Gweon, Hye Mi
    Cho, Nariya
    Seo, Mirinae
    Chu, A. Jung
    Moon, Woo Kyung
    EUROPEAN RADIOLOGY, 2014, 24 (08) : 1800 - 1807
  • [38] Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: Improving patient care and compliance
    Kandula, P.
    Cook, T. S.
    Boonn, W. W.
    Kim, W.
    MEDICAL IMAGING 2011: ADVANCED PACS-BASED IMAGING INFORMATICS AND THERAPEUTIC APPLICATIONS, 2011, 7967
  • [39] Added Value of Digital Breast Tomosynthesis Combined with Digital Mammography According to Reader Agreement: Changes in BI-RADS Rate and Follow-Up Management
    Galati, Francesca
    Marzocca, Flaminia
    Bassetti, Erica
    Luciani, Maria L.
    Tan, Sharon
    Catalano, Carlo
    Pediconi, Federica
    BREAST CARE, 2017, 12 (04) : 218 - 222
  • [40] A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions
    Lin, Jie
    Zheng, Hao
    Jia, Qiyu
    Shi, Jingjing
    Wang, Shiwei
    Wang, Junna
    Ge, Min
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2024, 150 (05)