Literature DB >> 28209330

Role of Magnetic Resonance Imaging in Detection of Pathologic Complete Remission in Breast Cancer Patients Treated With Neoadjuvant Chemotherapy: A Meta-analysis.

Yan-Lin Gu1, Si-Meng Pan1, Jie Ren1, Zhi-Xue Yang1, Guo-Qin Jiang2.   

Abstract

Pathologic complete remission after neoadjuvant chemotherapy has a role in guiding the management of breast cancer. The present meta-analysis examined the accuracy of contrast-enhanced magnetic resonance imaging (CE-MRI) and diffusion-weighted magnetic resonance imaging (DW-MRI) in detecting the response to neoadjuvant chemotherapy and compared CE-MRI with ultrasonography, mammography, and positron emission tomography/computed tomography (PET/CT). Medical subject heading terms and related keywords were searched to generate a compilation of eligible studies. The pooled sensitivity, specificity, diagnostic odds ratio, area under summary receiver operating characteristic curve (AUC), and Youden index (Q* index) were used to estimate the diagnostic efficacy of CE-MRI, DW-MRI, ultrasonography, mammography, and PET/CT. A total of 54 studies of CE-MRI and 8 studies of DW-MRI were included. The overall AUC and the Q* index values for CE-MRI and DW-MRI were 0.88 and 0.94 and 0.80 and 0.85, respectively. According to the summary receiver operating characteristic curves, CE-MRI resulted in a higher AUC value and Q* index compared with ultrasonography and mammography but had values similar to those of DW-MRI and PET/CT. CE-MRI accurately assessed pathologic complete remission in specificity, and PET/CT and DW-MRI accurately assessed pathologic complete remission in sensitivity. The present meta-analysis indicates that CE-MRI has high specificity and DW-MRI has high sensitivity in predicting pathologic complete remission after neoadjuvant chemotherapy. CE-MRI is more accurate than ultrasonography or mammography. Additionally, PET/CT is valuable for predicting pathologic complete remission. CE-MRI, combined with PET/CT or DW-MRI, might allow for a more precise assessment of pathologic complete remission.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; MRI; Meta-analysis; NAC; pCR

Mesh:

Year:  2017        PMID: 28209330     DOI: 10.1016/j.clbc.2016.12.010

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  31 in total

Review 1.  MRI Performance in Detecting pCR After Neoadjuvant Chemotherapy by Molecular Subtype of Breast Cancer.

Authors:  Nancy Yu; Vivian W Y Leung; Sarkis Meterissian
Journal:  World J Surg       Date:  2019-09       Impact factor: 3.352

2.  Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour.

Authors:  Soo-Yeon Kim; Nariya Cho; Sung Ui Shin; Han-Byoel Lee; Wonshik Han; In Ae Park; Bo Ra Kwon; Soo Yeon Kim; Su Hyun Lee; Jung Min Chang; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2018-01-29       Impact factor: 5.315

3.  Role of Magnetic Resonance Imaging in the Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy.

Authors:  Giorgia Pasquero; Alessandra Surace; Antonio Ponti; Massimiliano Bortolini; Donatella Tota; Maria Piera Mano; Riccardo Arisio; Chiara Benedetto; Maria Grazia Baù
Journal:  In Vivo       Date:  2020 Mar-Apr       Impact factor: 2.155

4.  DWI in the Assessment of Breast Lesions.

Authors:  Savannah C Partridge; Nita Amornsiripanitch
Journal:  Top Magn Reson Imaging       Date:  2017-10

5.  Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

Authors:  Richard Ha; Christine Chin; Jenika Karcich; Michael Z Liu; Peter Chang; Simukayi Mutasa; Eduardo Pascual Van Sant; Ralph T Wynn; Eileen Connolly; Sachin Jambawalikar
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

6.  Comparison of MRI and US in Tumor Size Evaluation of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.

Authors:  Onur Taydaş; Gamze Durhan; Meltem Gülsün Akpınar; Figen Başaran Demirkazık
Journal:  Eur J Breast Health       Date:  2019-04-01

7.  The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis.

Authors:  Sudan Tang; Chunhong Xiang; Quan Yang
Journal:  Br J Radiol       Date:  2020-07-02       Impact factor: 3.039

8.  Diffusion-weighted imaging in identifying breast cancer pathological response to neoadjuvant chemotherapy: A meta-analysis.

Authors:  Wei Chu; Weiwei Jin; Daihong Liu; Jian Wang; Chengjun Geng; Lihua Chen; Xuequan Huang
Journal:  Oncotarget       Date:  2017-12-11

9.  The diagnostic accuracy of magnetic resonance imaging in predicting pathologic complete response after neoadjuvant chemotherapy in patients with different molecular subtypes of breast cancer.

Authors:  Xinfeng Zhang; Dandan Wang; Zhuangkai Liu; Zheng Wang; Qiang Li; Hong Xu; Bin Zhang; Ting Liu; Feng Jin
Journal:  Quant Imaging Med Surg       Date:  2020-01

10.  Towards Imaging Pt Chemoresistance Using Gd(III)-Pt(II) Theranostic MR Contrast Agents.

Authors:  Casey J Adams; Thomas J Meade
Journal:  ChemMedChem       Date:  2021-08-06       Impact factor: 3.466

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