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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
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 s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701084/ https://www.ncbi.nlm.nih.gov/pubmed/29201942 http://dx.doi.org/10.1117/1.JMI.5.1.011011 |
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author | Virostko, John Hainline, Allison Kang, Hakmook Arlinghaus, Lori R. Abramson, Richard G. Barnes, Stephanie L. Blume, Jeffrey D. Avery, Sarah Patt, Debra Goodgame, Boone Yankeelov, Thomas E. Sorace, Anna G. |
author_facet | Virostko, John Hainline, Allison Kang, Hakmook Arlinghaus, Lori R. Abramson, Richard G. Barnes, Stephanie L. Blume, Jeffrey D. Avery, Sarah Patt, Debra Goodgame, Boone Yankeelov, Thomas E. Sorace, Anna G. |
author_sort | Virostko, John |
collection | PubMed |
description | 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 semiquantitative DCE-MRI ([Formula: see text]). 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. |
format | Online Article Text |
id | pubmed-5701084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-57010842018-11-24 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 Virostko, John Hainline, Allison Kang, Hakmook Arlinghaus, Lori R. Abramson, Richard G. Barnes, Stephanie L. Blume, Jeffrey D. Avery, Sarah Patt, Debra Goodgame, Boone Yankeelov, Thomas E. Sorace, Anna G. J Med Imaging (Bellingham) Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke 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 semiquantitative DCE-MRI ([Formula: see text]). 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. Society of Photo-Optical Instrumentation Engineers 2017-11-24 2018-01 /pmc/articles/PMC5701084/ /pubmed/29201942 http://dx.doi.org/10.1117/1.JMI.5.1.011011 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ 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. |
spellingShingle | Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke Virostko, John Hainline, Allison Kang, Hakmook Arlinghaus, Lori R. Abramson, Richard G. Barnes, Stephanie L. Blume, Jeffrey D. Avery, Sarah Patt, Debra Goodgame, Boone Yankeelov, Thomas E. Sorace, Anna G. 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701084/ https://www.ncbi.nlm.nih.gov/pubmed/29201942 http://dx.doi.org/10.1117/1.JMI.5.1.011011 |
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