Literature DB >> 18224381

Categorization of non-mass-like breast lesions detected by MRI.

Naomi Sakamoto1, Mitsuhiro Tozaki, Kuniki Higa, Yuko Tsunoda, Tomoko Ogawa, Satoko Abe, Shinji Ozaki, Masaaki Sakamoto, Tomoko Tsuruhara, Naoko Kawano, Takako Suzuki, Norie Yamashiro, Eisuke Fukuma.   

Abstract

BACKGROUND: Breast MR imaging has emerged as a highly sensitive modality for the imaging of breast tumors. However, a standardized method of interpretation of lesions showing non-mass-like enhancement does not exist. The purpose of this study was to analyze the features of non-mass-like breast lesions detected by MRI, and to establish a standardized method of interpretation to allow categorization of these lesions.
METHODS: A retrospective review was performed for 102 consecutive nonpalpable mammographically occult, non-mass-like lesions detected by MRI that had undergone ultrasound-guided vacuum-assisted biopsy. MR imaging was performed on a 1.5-Tesla system. The distribution patterns were classified into three categories as follows: single quadrant/solitary lesion (linear), single quadrant/grouped lesion (focal, regional, segmental), and multiquadrant lesion (multiple regions, diffuse). The presence of a ductal pattern was assessed in the enhancing lesions after the tumor distribution had been decided. In addition to the BI-RADS-MRI descriptors, the presence of clustered ring enhancement was also assessed in heterogeneous enhancing lesions. We divided non-mass-like lesions into those with a small (category 3a), moderate (category 3b), or substantial (category 4) likelihood of malignancy.
RESULTS: The features with the highest positive predictive value (PPV) for cancer were clustered ring enhancement (67%) (P = 0.004), a branching-ductal pattern (38%) (P = 0.003), and clumped architecture (20%). The PPV for cancer of a linear-ductal pattern was 11% (1/9). All lesions showing multiquadrant distribution, linear-nonspecific lesion, non-branching pattern with homogeneous and stippled internal architectures, and heterogeneous lesion without clustered ring enhancement were diagnosed as benign.
CONCLUSION: Non-mass-like breast lesions detected on MRI showing a clustered ring enhancement, a branching-ductal pattern, and clumped architecture should be evaluated further by biopsy (category 4), while lesions not showing these characteristics may be observed without unnecessary intervention (category 3a). Lesions showing a linear-ductal pattern may be followed carefully or evaluated by biopsy as needed (category 3b).

Entities:  

Mesh:

Year:  2008        PMID: 18224381     DOI: 10.1007/s12282-007-0028-6

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  19 in total

1.  Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions.

Authors:  K Pinker; H Bickel; T H Helbich; S Gruber; P Dubsky; U Pluschnig; M Rudas; Z Bago-Horvath; M Weber; S Trattnig; W Bogner
Journal:  Eur Radiol       Date:  2013-03-16       Impact factor: 5.315

2.  A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography.

Authors:  Pascal A T Baltzer; Matthias Dietzel; Werner A Kaiser
Journal:  Eur Radiol       Date:  2013-04-12       Impact factor: 5.315

3.  The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy.

Authors:  Hale Aydin
Journal:  Br J Radiol       Date:  2019-01-29       Impact factor: 3.039

4.  Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy.

Authors:  Tatsunori Asada; Takayuki Yamada; Yoshihide Kanemaki; Keishi Fujiwara; Satoko Okamoto; Yasuo Nakajima
Journal:  Jpn J Radiol       Date:  2017-12-29       Impact factor: 2.374

5.  Lesion characteristics, histopathologic results, and follow-up of breast lesions after MRI-guided biopsy.

Authors:  Füsun Taşkın; Aykut Soyder; Ahmet Tanyeri; Veli Süha Öztürk; Alparslan Ünsal
Journal:  Diagn Interv Radiol       Date:  2017 Sep-Oct       Impact factor: 2.630

6.  The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast.

Authors:  Sanaz A Jansen; Akiko Shimauchi; Lindsay Zak; Xiaobing Fan; Gregory S Karczmar; Gillian M Newstead
Journal:  J Magn Reson Imaging       Date:  2011-06       Impact factor: 4.813

7.  Dynamic contrast-enhanced breast magnetic resonance imaging findings that affect the magnetic resonance-directed ultrasound correlation of non-mass enhancement lesions: a single-center retrospective study.

Authors:  Almila Coskun Bilge; Pinar Ilhan Demir; Hale Aydin; Isil Esen Bostanci
Journal:  Br J Radiol       Date:  2022-01-07       Impact factor: 3.629

8.  Clumped vs non-clumped internal enhancement patterns in linear non-mass enhancement on breast MRI.

Authors:  Shu Tian Chen; James Covelli; Satoko Okamoto; Bruce L Daniel; Wendy B DeMartini; Debra M Ikeda
Journal:  Br J Radiol       Date:  2020-12-17       Impact factor: 3.039

9.  Mammographycally occult high grade ductal carcinoma in situ (DCIS) as second primary breast cancer, detected with MRI: a case report.

Authors:  Marta Zebic-Sinkovec; Maksimiljan Kadivec; Gasper Podobnik; Erik Skof; Marko Snoj
Journal:  Radiol Oncol       Date:  2010-08-09       Impact factor: 2.991

10.  Association of Different MRI BIRADS Descriptors With Malignancy in Non Mass-Like Breast Lesions.

Authors:  Masoumeh Gity; Koosha Ghazi Moghadam; Amir Hossein Jalali; Madjid Shakiba
Journal:  Iran Red Crescent Med J       Date:  2014-12-30       Impact factor: 0.611

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.