Frequency of malignancy in lesions classified as probably benign after dynamic contrast-enhanced breast MRI examination

被引:45
|
作者
Sadowski, EA [1 ]
Kelcz, F [1 ]
机构
[1] Univ Wisconsin, Dept Radiol, Madison, WI 53792 USA
关键词
breast MRI; probably benign breast lesions; BI-RADS; 3; follow-up mammography; breast neoplasm;
D O I
10.1002/jmri.20312
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
Purpose: To determine the chance of malignancy in lesions classified as "probably benign" by dynamic magnetic resonanec imaging (MRI), in a heterogeneous population. Materials and Methods: Reports from 473 patients. from March 1994 to March 2002, who underwent breast M were retrospectively reviewed. A total of 79 patients (17%) had lesions classified as probably benign after the MRI, which required further imaging follow-up. We evaluated subsequent MRI, mammographic reports, and clinical follow-up in these patients and established the frequency of malignancy in this group. Results: MRI classified probably benign lesion were diagnosed in 79 women because of focal or diffuse mild enhancement and benign dynamic enhancement curves in the area of the mammographic abnormality, or because of the presence of microcalcifications on the mammogram, or because of incidental enhancing lesions. Two-year radiographic and/or clinical follow-up was available in 68 women. On follow-up, four women (6%) were diagnosed with cancer between 14 and 18 months after the initial MRI. Conclusion: Patients with a lesion assessed as probably benign by dynamic contrast enhanced MRI have a higher chance of malignancy than patients with probably benign lesions (Breast Imaging Reporting and Data System category 3, BI-RADS 3) seen on mammography. These patients should be informed of the increased risk of cancer and be given the option of biopsy or close follow-up.
引用
收藏
页码:556 / 564
页数:9
相关论文
共 50 条
  • [41] Ultrafast dynamic contrast-enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veins
    Onishi, Natsuko
    Kataoka, Masako
    Kanao, Shotaro
    Sagawa, Hajime
    Iima, Mami
    Nickel, Marcel Dominik
    Toi, Masakazu
    Togashi, Kaori
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 47 (01) : 97 - 104
  • [42] Comparison of Gadoteric Acid and Gadobutrol for Detection as Well as Morphologic and Dynamic Characterization of Lesions on Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging
    Renz, Diane M.
    Durmus, Tahir
    Boettcher, Joachim
    Taupitz, Matthias
    Diekmann, Felix
    Huppertz, Alexander
    Pfeil, Alexander
    Maurer, Martin H.
    Streitparth, Florian
    Bick, Ulrich
    Hamm, Bernd
    Fallenberg, Eva M.
    INVESTIGATIVE RADIOLOGY, 2014, 49 (07) : 474 - 484
  • [43] Determining the Differentiation of Benign and Malignant NME Lesions in Contrast-Enhanced Spectral Mammography Images Based on Convolutional Neural Networks
    Achak, Ali
    Hedyehzadeh, Mohammadreza
    JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2023, 43 (05) : 585 - 595
  • [44] Imaging Features Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging to Differentiate Malignant From Benign Breast Lesions: A Systematic Review and Meta-Analysis
    Zhang, Jie
    Wang, Lin
    Liu, Hai-Feng
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2022, 46 (03) : 383 - 391
  • [45] Application of Time-Resolved Angiography With Stochastic Trajectories (TWIST)-Dixon in Dynamic Contrast-Enhanced (DCE) Breast MRI
    Le, Yuan
    Kipfer, Hal
    Majidi, Shadie
    Holz, Stephanie
    Dale, Brian
    Geppert, Christian
    Kroeker, Randall
    Lin, Chen
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2013, 38 (05) : 1033 - 1042
  • [46] Dynamic contrast-enhanced and diffusion-weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status
    Choi, Eun Jung
    Youk, Ji Hyun
    Choi, Hyemi
    Song, Ji Soo
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 51 (02) : 615 - 626
  • [47] Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm
    Lin, Fan
    Wang, Zhongyi
    Zhang, Kun
    Yang, Ping
    Ma, Heng
    Shi, Yinghong
    Liu, Meijie
    Wang, Qinglin
    Cui, Jingjing
    Mao, Ning
    Xie, Haizhu
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [48] Application of a quantitative model to differentiate benign from malignant breast lesions detected by dynamic, gadolinium-enhanced MRI
    Kelcz, F
    Santyr, GE
    Cron, GO
    Mongin, SJ
    JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING, 1996, 6 (05): : 743 - 752
  • [49] Characterizing and eliminating errors in enhancement and subtraction artifacts in dynamic contrast-enhanced breast MRI: Chemical shift artifact of the third kind
    Derakhshan, Jamal J.
    McDonald, Elizabeth S.
    Siegelman, Evan S.
    Schnall, Mitchell D.
    Wehrli, Felix W.
    MAGNETIC RESONANCE IN MEDICINE, 2018, 79 (04) : 2277 - 2289
  • [50] The added value of contrast-enhanced ultrasound to conventional ultrasound in differentiating benign and malignant solid breast lesions: a systematic review and meta-analysis
    Wubulihasimu, M.
    Maimaitusun, M.
    Xu, X. -L.
    Liu, X. -D.
    Luo, B. -M.
    CLINICAL RADIOLOGY, 2018, 73 (11) : 936 - 943