Literature DB >> 29734483

Role of dynamic contrast-enhanced MRI in evaluating the association between contralateral parenchymal enhancement and survival outcome in ER-positive, HER2-negative, node-negative invasive breast cancer.

Gi Won Shin1,2, Yang Zhang3, Min Jung Kim1, Min-Ying Su3, Eun-Kyung Kim1, Hee Jung Moon1, Jung Hyun Yoon1, Vivian Youngjean Park1.   

Abstract

BACKGROUND: Background parenchymal enhancement (BPE) on dynamic contrast-enhanced (DCE)-MRI has been associated with breast cancer risk, both based on qualitative and quantitative assessments.
PURPOSE: To investigate whether BPE of the contralateral breast on preoperative DCE-MRI is associated with therapy outcome in ER-positive, HER2-negative, node-negative invasive breast cancer. STUDY TYPE: Retrospective. POPULATION: In all, 289 patients with unilateral ER-positive, HER2-negative, node-negative breast cancer larger than 5 mm. FIELD STRENGTH/SEQUENCE: 3T, T1 -weighted DCE sequence. ASSESSMENT: BPE of the contralateral breast was assessed qualitatively by two dedicated radiologists and quantitatively (using region-of-interest and automatic breast segmentation). STATISTICAL TESTS: Cox regression analysis was used to determine associations with recurrence-free survival (RFS) and distant metastasis-free survival (DFS). Interobserver variability for parenchymal enhancement was assessed using kappa statistics and intraclass correlation coefficient (ICC).
RESULTS: The median follow-up time was 75.8 months. Multivariate analysis showed receipt of total mastectomy (hazard ratio [HR]: 5.497) and high Ki-67 expression level (HR: 5.956) were independent factors associated with worse RFS (P < 0.05). Only a high Ki-67 expression level was associated with worse DFS (HR: 3.571, P = 0.045). BPE assessments were not associated with outcome (RFS [qualitative BPE: P = 0.75, 0.92 for readers 1 and 2; quantitative BPE: P = 0.38-0.99], DFS, [qualitative BPE: P = 0.41, 0.16 for readers 1 and 2; quantitative BPE: P = 0.68-0.99]). For interobserver variability, there was good agreement between qualitative (κ = 0.700) and good to perfect agreement for most quantitative parameters of BPE. DATA
CONCLUSION: Contralateral BPE showed no association with survival outcome in patients with ER-positive, HER2-negative, node-negative invasive breast cancer. A high Ki-67 expression level was associated with both worse recurrence-free and distant metastasis-free survival. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2018;48:1678-1689.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  breast cancer; breast neoplasm; magnetic resonance imaging; prognosis; recurrence

Mesh:

Substances:

Year:  2018        PMID: 29734483      PMCID: PMC6711368          DOI: 10.1002/jmri.26176

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.

Authors:  Yang Zhang; Jeon-Hor Chen; Kai-Ting Chang; Vivian Youngjean Park; Min Jung Kim; Siwa Chan; Peter Chang; Daniel Chow; Alex Luk; Tiffany Kwong; Min-Ying Su
Journal:  Acad Radiol       Date:  2019-01-31       Impact factor: 3.173

Review 2.  Background parenchymal enhancement on breast MRI: A comprehensive review.

Authors:  Geraldine J Liao; Leah C Henze Bancroft; Roberta M Strigel; Rhea D Chitalia; Despina Kontos; Linda Moy; Savannah C Partridge; Habib Rahbar
Journal:  J Magn Reson Imaging       Date:  2019-04-19       Impact factor: 4.813

3.  Background parenchymal enhancement and breast cancer: a review of the emerging evidences about its potential use as imaging biomarker.

Authors:  Rossella Rella; Andrea Contegiacomo; Enida Bufi; Sara Mercogliano; Paolo Belli; Riccardo Manfredi
Journal:  Br J Radiol       Date:  2020-10-15       Impact factor: 3.039

4.  Simultaneous evaluation of perfusion and morphology using GRASP MRI in hepatic fibrosis.

Authors:  Jeong Hee Yoon; Jeong Min Lee; Mi Hye Yu; Bo Yun Hur; Robert Grimm; Steven Sourbron; Hersh Chandarana; Yohan Son; Susmita Basak; Kyoung-Bun Lee; Nam-Joon Yi; Kwang-Woong Lee; Kyung-Suk Suh
Journal:  Eur Radiol       Date:  2021-06-12       Impact factor: 5.315

5.  Radiogenomics of magnetic resonance imaging and a new multi-gene classifier for predicting recurrence prognosis in estrogen receptor-positive breast cancer: A preliminary study.

Authors:  Yukiko Tokuda; Masahiro Yanagawa; Kaori Minamitani; Yasuto Naoi; Shinzaburo Noguchi; Noriyuki Tomiyama
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

6.  MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in patients with invasive lobular breast cancer on adjuvant endocrine hormonal treatment: associations with survival.

Authors:  Roberto Lo Gullo; Isaac Daimiel; Carolina Rossi Saccarelli; Almir Bitencourt; Varadan Sevilimedu; Danny F Martinez; Maxine S Jochelson; Elizabeth A Morris; Jeffrey S Reiner; Katja Pinker
Journal:  Breast Cancer Res       Date:  2020-08-20       Impact factor: 6.466

  6 in total

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