Significance of Additional Non-Mass Enhancement in Patients with Breast Cancer on Preoperative 3T Dynamic Contrast Enhanced MRI of the Breast

被引:15
|
作者
Cho, Yun Hee [1 ]
Cho, Kyu Ran [1 ]
Park, Eun Kyung [1 ]
Seo, Bo Kyoung [1 ]
Woo, Ok Hee [1 ]
Cho, Sung Bum [1 ]
Bae, Jeoung Won [2 ]
机构
[1] Korea Univ, Coll Med, Dept Radiol, Seoul 136705, South Korea
[2] Korea Univ, Coll Med, Dept Surg, Seoul 136705, South Korea
关键词
Breast Neoplasms; Diagnosis; Non-Mass Enhancement; Preoperative Care; Magnetic Resonance Imaging; CONTRALATERAL BREAST; NONMASSLIKE ENHANCEMENT; INTERPRETATION MODEL; LESIONS; FEATURES; MALIGNANCY; ACCURACY; WOMEN; METAANALYSIS; MAMMOGRAPHY;
D O I
10.5812/iranjradiol.30909
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
Background: In preoperative assessment of breast cancer, MRI has been shown to identify more additional breast lesions than are detectable using conventional imaging techniques. The characterization of additional lesions is more important than detection for optimal surgical treatment. Additional breast lesions can be included in focus, mass, and non-mass enhancement (NME) on MRI. According to the fifth edition of the breast imaging reporting and data system (BI-RADS (R)), which includes several changes in the NME descriptors, few studies to date have evaluated NME in preoperative assessment of breast cancer. Objectives: We investigated the diagnostic accuracy of BI-RADS descriptors in predicting malignancy for additional NME lesions detected on preoperative 3T dynamic contrast enhanced MRI (DCE-MRI) in patients with newly diagnosed breast cancer. Patients and Methods: Between January 2008 and December 2012, 88 patients were enrolled in our study, all with NME lesions other than the index cancer on preoperative 3T DCE-MRI and all with accompanying histopathologic examination. The MRI findings were analyzed according to the BI-RADS MRI lexicon. We evaluated the size, distribution, internal enhancement pattern, and location of NME lesions relative to the index cancer (i.e., same quadrant, different quadrant, or contralateral breast). Results: On histopathologic analysis of the 88 NME lesions, 73 (83%) were malignant and 15 (17%) were benign. Lesion size did not differ significantly between malignant and benign lesions (P = 0.410). Malignancy was more frequent in linear (P = 0.005) and segmental (P = 0.011) distributions, and benignancy was more frequent in focal (P = 0.004) and regional (P < 0.001) NME lesions. The highest positive predictive value (PPV) for malignancy occurred in segmental (96.8%), linear (95.1%), clustered ring (100%), and clumped (92.0%) enhancement. Asymmetry demonstrated a high positive predictive value of 85.9%. The frequency of malignancy was higher for NME lesions located in the same quadrant with the index cancer (P = 0.006), and benignancy was higher in the contralateral breast (P = 0.015). On multivariate analysis, linear (P = 0.001) and segmental (P = 0.005) distributions were significant predictors of malignancy. Conclusion: The possibility of malignancy is strongly indicated when additional NME lesions show linear or segmental enhancement on preoperative 3T DCE-MRI in patients with recently diagnosed breast cancer.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 50 条
  • [21] Quantitative Predictors of Response to Neoadjuvant Chemotherapy on Dynamic Contrast-enhanced 3T Breast MRI
    Murakami, Wakana
    Choi, Hyung Won
    Joines, Melissa M.
    Hoyt, Anne
    Doepke, Laura
    McCann, Kelly E.
    Salamon, Noriko
    Sayre, James
    Lee-Felker, Stephanie
    JOURNAL OF BREAST IMAGING, 2022, 4 (02) : 168 - 176
  • [22] Non-mass enhancement breast lesions: MRI findings and associations with malignancy
    Liu, Gang
    Li, Ying
    Chen, Si-Lu
    Chen, Qiao
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (06)
  • [23] Correlation between dynamic contrast-enhanced MRI characteristics and apparent diffusion coefficient with Ki-67-positive expression in non-mass enhancement of breast cancer
    Nie, Tingting
    Feng, Mengwei
    Yang, Kai
    Guo, Xiaofang
    Yuan, Zilong
    Zhang, Zhaoxi
    Yan, Gen
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [24] B1 Transmission-Field Inhomogeneity and Enhancement Ratio Errors in Dynamic Contrast-Enhanced MRI (DCE-MRI) of the Breast at 3T
    Azlan, Che A.
    Di Giovanni, Pierluigi
    Ahearn, Trevor S.
    Semple, Scott I. K.
    Gilbert, Fiona J.
    Redpath, Thomas W.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2010, 31 (01) : 234 - 239
  • [25] The performance of contrast-enhanced mammography and breast MRI in local preoperative staging of invasive lobular breast cancer
    Lobbes, Marc B. I.
    Neeter, Lidewij M. F. H.
    Raat, Frank
    Turk, Kim
    Wildberger, Joachim E.
    van Nijnatten, Thiemo J. A.
    Nelemans, Patricia J.
    EUROPEAN JOURNAL OF RADIOLOGY, 2023, 164
  • [26] The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRI
    Hellgren, Roxanna
    Saracco, Ariel
    Strand, Fredrik
    Eriksson, Mikael
    Sundbom, Ann
    Hall, Per
    Dickman, Paul W.
    ACTA RADIOLOGICA, 2020, 61 (12) : 1600 - 1607
  • [27] Meta-analysis of dynamic contrast enhancement and diffusion-weighted MRI for differentiation of benign from malignant non-mass enhancement breast lesions
    Zhang, Jing
    Li, Longchao
    Zhang, Li
    Zhe, Xia
    Tang, Min
    Lei, Xiaoyan
    Zhang, Xiaoling
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [28] Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer
    Park, Vivian Youngjean
    Kim, Sungheon G.
    Kim, Eun-Kyung
    Moon, Hee Jung
    Yoon, Jung Hyun
    Kim, Min Jung
    MAGNETIC RESONANCE IMAGING, 2019, 62 : 199 - 208
  • [29] The role of contrast enhanced MRI in the diagnosis of non-mass image-forming lesions on breast ultrasonography.
    Sotome K.
    Yamamoto Y.
    Hirano A.
    Takahara T.
    Hasegawa S.
    Nakamaru M.
    Furukawa A.
    Miyazaki H.
    Morozumi K.
    Onishi T.
    Tanaka Y.
    Iri H.
    Breast Cancer, 2007, 14 (4) : 371 - 380
  • [30] Patterns of malignant non-mass enhancement on 3-T breast MRI help predict invasiveness: using the BI-RADS lexicon fifth edition
    Lee, Seung Min
    Nam, Kyung Jin
    Choo, Ki Seok
    Kim, Jin You
    Jeong, Dong Wook
    Kim, Hyun Yul
    Kim, Jee Yeon
    ACTA RADIOLOGICA, 2018, 59 (11) : 1292 - 1299