Literature DB >> 28067435

MR Imaging Findings in Molecular Subtypes of Breast Cancer According to BIRADS System.

Lidia Navarro Vilar1, Salvador Pascual Alandete Germán2, Rosana Medina García2, Esther Blanc García2, Natalia Camarasa Lillo3, José Vilar Samper2.   

Abstract

To evaluate magnetic resonance imaging (MRI) findings, according to Breast Imaging-Reporting and Data System (BI-RADS), and to relate them with molecular subtypes of breast cancer. The MRI findings were reviewed retrospectively in 201 women diagnosed of invasive breast cancer confirmed by surgery and were compared with the molecular subtypes. Following the BI-RADS, MRI findings included disease type, size, enhancement, morphology and contrast kinetics. In mass-like lesion types were studied shape, margin and enhancement, and in nonmass-like lesion types, distribution modifiers and internal enhancement. Chi-squared analysis showed significant association (p < 0.01) between molecular subtypes and lesion type on MRI and histologic grade. Shape, margin and mass enhancement (p < 0.05) also showed significant association among molecular subtypes. Triple negative were more frequently unifocal and mass-like lesion, high histologic grade, round shape, smooth margin, and rim enhancement. Luminal-A were more frequently low grade, mass-like lesion, irregular shape and spiculated or irregular margin. Luminal-B were more frequently moderate-low grade, mass-like lesion, nonirregular shape and spiculated margin. HER-2-enriched were more frequently moderate grade, nonmass-like lesion and multicentric lesions were more present than in other subtypes. There are significantly different MRI features, according to BI-RADS, between the molecular subtypes breast cancer.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  zzm321990BIRADSzzm321990; zzm321990MRIzzm321990; breast cancer; magnetic resonance; molecular subtypes

Mesh:

Substances:

Year:  2017        PMID: 28067435     DOI: 10.1111/tbj.12756

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  9 in total

1.  Radiomics Analysis of MRI for Predicting Molecular Subtypes of Breast Cancer in Young Women.

Authors:  Qinmei Li; James Dormer; Priyanka Daryani; Deji Chen; Zhenfeng Zhang; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-13

2.  Prediction of pathologic complete response on MRI in patients with breast cancer receiving neoadjuvant chemotherapy according to molecular subtypes.

Authors:  Jieun Kim; Boo-Kyung Han; Eun Young Ko; Eun Sook Ko; Ji Soo Choi; Ko Woon Park
Journal:  Eur Radiol       Date:  2022-01-06       Impact factor: 5.315

3.  An effective fine grading method of BI-RADS classification in mammography.

Authors:  Fei Lin; Hang Sun; Lu Han; Jing Li; Nan Bao; Hong Li; Jing Chen; Shi Zhou; Tao Yu
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-12-23       Impact factor: 2.924

4.  Optoacoustic imaging of the breast: correlation with histopathology and histopathologic biomarkers.

Authors:  Gisela L G Menezes; Ritse M Mann; Carla Meeuwis; Bob Bisschops; Jeroen Veltman; Philip T Lavin; Marc J van de Vijver; Ruud M Pijnappel
Journal:  Eur Radiol       Date:  2019-05-27       Impact factor: 5.315

5.  Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers.

Authors:  Hui Chen; Wei Li; Chao Wan; Jue Zhang
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

Review 6.  MRI as a biomarker for breast cancer diagnosis and prognosis.

Authors:  Francesca Galati; Veronica Rizzo; Rubina Manuela Trimboli; Endi Kripa; Roberto Maroncelli; Federica Pediconi
Journal:  BJR Open       Date:  2022-05-26

7.  Multimodality imaging in lobular breast cancer: Differences in mammography, ultrasound, and MRI in the assessment of local tumor extent and correlation with molecular characteristics.

Authors:  Bartosz Dołęga-Kozierowski; Michał Lis; Hanna Marszalska-Jacak; Mateusz Koziej; Marcin Celer; Małgorzata Bandyk; Piotr Kasprzak; Bartłomiej Szynglarewicz; Rafał Matkowski
Journal:  Front Oncol       Date:  2022-08-22       Impact factor: 5.738

8.  Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging.

Authors:  Jin Joo Kim; Jin You Kim; Hie Bum Suh; Lee Hwangbo; Nam Kyung Lee; Suk Kim; Ji Won Lee; Ki Seok Choo; Kyung Jin Nam; Taewoo Kang; Heeseung Park
Journal:  Eur Radiol       Date:  2021-08-04       Impact factor: 5.315

9.  Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.

Authors:  Heather M Whitney; Nathan S Taylor; Karen Drukker; Alexandra V Edwards; John Papaioannou; David Schacht; Maryellen L Giger
Journal:  Acad Radiol       Date:  2018-05-10       Impact factor: 5.482

  9 in total

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