Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis

被引:19
|
作者
Virostko, John [1 ,2 ]
Hainline, Allison [3 ]
Kang, Hakmook [3 ,4 ]
Arlinghaus, Lori R. [5 ]
Abramson, Richard G. [4 ,5 ]
Barnes, Stephanie L. [6 ,7 ]
Blume, Jeffrey D. [3 ]
Avery, Sarah [8 ]
Patt, Debra [9 ]
Goodgame, Boone [10 ,11 ]
Yankeelov, Thomas E. [1 ,2 ,6 ,7 ]
Sorace, Anna G. [1 ,2 ]
机构
[1] Univ Texas Austin, Dept Diagnost, Austin, TX 78712 USA
[2] Univ Texas Austin, Livestrong Canc Inst, Austin, TX 78712 USA
[3] Vanderbilt Univ, Dept Biostat, Nashville, TN 37235 USA
[4] Vanderbilt Univ, Ctr Quantitat Sci, Nashville, TN 37235 USA
[5] Vanderbilt Univ, Med Ctr, Dept Radiol & Radiol Sci, Nashville, TN 37235 USA
[6] Univ Texas Austin, Inst Computat & Engn Sci, Austin, TX 78712 USA
[7] Univ Texas Austin, Dept Biomed Engn, Austin, TX 78712 USA
[8] Austin Radiol Assoc, Austin, TX USA
[9] Texas Oncol, Austin, TX USA
[10] Seton Hosp, Austin, TX USA
[11] Univ Texas Austin, Dept Med, Austin, TX 78712 USA
关键词
response prediction; dynamic contrast-enhanced MRI; diffusion-weighted MRI; breast cancer; neoadjuvant; meta-analysis;
D O I
10.1117/1.JMI.5.1.011011
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
This meta-analysis assesses the prognostic value of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI) performed during neoadjuvant therapy (NAT) of locally advanced breast cancer. A systematic literature search was conducted to identify studies of quantitative DCE-MRI and DW-MRI performed during breast cancer NAT that report the sensitivity and specificity for predicting pathological complete response (pCR). Details of the study population and imaging parameters were extracted from each study for subsequent meta-analysis. Metaregression analysis, subgroup analysis, study heterogeneity, and publication bias were assessed. Across 10 studies that met the stringent inclusion criteria for this meta-analysis (out of 325 initially identified studies), we find that MRI had a pooled sensitivity of 0.91 [95% confidence interval (CI), 0.80 to 0.96] and specificity of 0.81(95% CI, 0.68 to 0.89) when adjusted for covariates. Quantitative DCE-MRI exhibits greater specificity for predicting pCR than semi-quantitative DCE-MRI (p < 0.001). Quantitative DCE-MRI and DW-MRI are able to predict, early in the course of NAT, the eventual response of breast tumors, with a high level of specificity and sensitivity. However, there is a high degree of heterogeneity in published studies highlighting the lack of standardization in the field. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] The diagnostic performance of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in evaluating the pathological response of breast cancer to neoadjuvant chemotherapy: A meta-analysis
    Li, Zhifan
    Li, Jinkui
    Lu, Xingru
    Qu, Mengmeng
    Tian, Jinhui
    Lei, Junqiang
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2021, 143
  • [2] Accuracy of combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging for breast cancer detection: a meta-analysis
    Zhang, Li
    Tang, Min
    Min, Zhiqian
    Lu, Jun
    Lei, Xiaoyan
    Zhang, Xiaoling
    [J]. ACTA RADIOLOGICA, 2016, 57 (06) : 651 - 660
  • [3] Evaluation of the efficacy of neoadjuvant chemotherapy for breast cancer using diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging
    Xu, H. D.
    Zhang, Y. Q.
    [J]. NEOPLASMA, 2017, 64 (03) : 430 - 436
  • [4] Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging in predicting ductal carcinoma in situ upgrades
    Mori, Naoko
    [J]. CLINICAL IMAGING, 2024, 108
  • [5] Monitoring ankylosing spondylitis therapy by dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging
    Nataša Gašperšič
    Igor Serša
    Vladimir Jevtič
    Matija Tomšič
    Sonja Praprotnik
    [J]. Skeletal Radiology, 2008, 37 : 123 - 131
  • [6] Monitoring ankylosing spondylitis therapy by dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging
    Gaspersic, Natasa
    Sersa, Igor
    Jevtic, Vladimir
    Tomsic, Matija
    Praprotnik, Sonja
    [J]. SKELETAL RADIOLOGY, 2008, 37 (02) : 123 - 131
  • [7] Potential of Noncontrast Magnetic Resonance Imaging With Diffusion-Weighted Imaging in Characterization of Breast Lesions Intraindividual Comparison With Dynamic Contrast-Enhanced Magnetic Resonance Imaging
    Baltzer, Pascal A. T.
    Bickel, Hubert
    Spick, Claudio
    Wengert, Georg
    Woitek, Ramona
    Kapetas, Panagiotis
    Clauser, Paola
    Helbich, Thomas H.
    Pinker, Katja
    [J]. INVESTIGATIVE RADIOLOGY, 2018, 53 (04) : 229 - 235
  • [8] Diagnostic performance of diffusion-weighted imaging combined with dynamic contrast-enhanced magnetic resonance imaging for prostate cancer: a systematic review and meta-analysis
    Yang, Lu
    Tan, Yuchuan
    Dan, Hanli
    Hu, Lin
    Zhang, Jiuquan
    [J]. ACTA RADIOLOGICA, 2021, 62 (09) : 1238 - 1247
  • [9] Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R
    Whitcher, Brandon
    Schmid, Volker J.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2011, 44 (05): : 1 - 29
  • [10] Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer
    Fu, Juzhong
    Fan, Ming
    Zheng, Bin
    Shao, Guoliang
    Zhang, Juan
    Li, Lihua
    [J]. MEDICAL IMAGING 2016: PACS AND IMAGING INFORMATICS: NEXT GENERATION AND INNOVATIONS, 2016, 9789