Literature DB >> 31785544

Triple-negative breast cancer: Pretreatment magnetic resonance imaging features and clinicopathological factors associated with recurrence.

Youn Joo Lee1, In Kyung Youn2, Sung Hun Kim3, Bong Joo Kang2, Woo-Chan Park4, Ahwon Lee5.   

Abstract

PURPOSE: We aimed to investigate the magnetic resonance imaging (MRI) features and clinicopathologic factors with recurrence of triple-negative breast cancer (TNBC). PATIENTS AND METHODS: We identified 281 patients with 288 surgically confirmed TNBC lesions who underwent pretreatment MRI between 2009 and 2015. The presence of intratumoral high signal on T2-weighted images, high-signal rim on diffusion-weighted images (DWI), and rim enhancement on the dynamic contrast-enhanced MRI and clinicopathological data were collected. Cox proportional analysis was performed.
RESULTS: Of the 288 lesions, 36 (12.5%) recurred after a median follow-up of 18 months (range, 3.6-68.3 months). Rim enhancement (hazard ratio [HR] = 3.15; 95% confidence interval [CI] = 1.01, 9.88; p = .048), and lymphovascular invasion (HR = 2.73, 95% CI = 1.20, 6.23; p = .016) were independently associated with disease recurrence. While fibroglandular volume, background parenchymal enhancement, intratumoral T2 high signal, and high-signal rim on DWI, were not found to be risk factors for recurrence.
CONCLUSION: Pretreatment MRI features may help predict a high risk of recurrence in patients with TNBC.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Disease recurrence; Magnetic resonance imaging; Prognosis; Risk factors; Triple negative breast cancer

Mesh:

Substances:

Year:  2019        PMID: 31785544     DOI: 10.1016/j.mri.2019.10.001

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  3 in total

1.  Features from MRI texture analysis associated with survival outcomes in triple-negative breast cancer patients.

Authors:  Saki Kamiya; Hiroko Satake; Yoko Hayashi; Satoko Ishigaki; Rintaro Ito; Mariko Kawamura; Toshiaki Taoka; Shingo Iwano; Shinji Naganawa
Journal:  Breast Cancer       Date:  2021-09-16       Impact factor: 4.239

2.  Radiologic-pathologic correlation in breast cancer: do MRI biomarkers correlate with pathologic features and molecular subtypes?

Authors:  Francesca Galati; Veronica Rizzo; Giuliana Moffa; Claudia Caramanico; Endi Kripa; Bruna Cerbelli; Giulia D'Amati; Federica Pediconi
Journal:  Eur Radiol Exp       Date:  2022-08-08

3.  Special Issue "Advances in Breast MRI".

Authors:  Francesca Galati; Rubina Manuela Trimboli; Federica Pediconi
Journal:  Diagnostics (Basel)       Date:  2021-12-08
  3 in total

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