Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions
The aim of this study was to investigate and compare the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI, multiparametric MRI (mpMRI), and multimodality imaging (MMI) combining mpMRI and mammography (MG) for discriminating breast non-mass-like enhancement (NME) lesions. This retrospect...
Gespeichert in:
Veröffentlicht in: | British journal of radiology 2022-08, Vol.95 (1136), p.20220211 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1136 |
container_start_page | 20220211 |
container_title | British journal of radiology |
container_volume | 95 |
creator | Zang, Hui Liu, Hong-Li Zhu, Li-Yu Wang, Xiao Wei, Liang-Min Lou, Jian-Juan Zou, Qi-Gui Wang, Si-Qi Wang, Shou-Ju Jiang, Yan-Ni |
description | The aim of this study was to investigate and compare the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI, multiparametric MRI (mpMRI), and multimodality imaging (MMI) combining mpMRI and mammography (MG) for discriminating breast non-mass-like enhancement (NME) lesions.
This retrospective study enrolled 193 patients with 199 lesions who underwent 3.0 T MRI and MG from January 2017 to December 2019. The features of DCE-MRI, turbo inversion recovery magnitude (TIRM), and diffusion-weighted imaging (DWI) were assessed by two breast radiologists. Then, all lesions were divided into microcalcification and non-microcalcification groups to assess the features of MG. Comparisons were performed between groups using univariate analyses. Then, multivariate analyses were performed to construct diagnostic models for distinguishing NME lesions. Diagnostic performance was evaluated by using the area under the curve (AUC) and the differences between AUCs were evaluated by using the DeLong test.
Overall (
= 199), mpMRI outperformed DCE-MRI alone (AUC
= 0.924 vs
AUC
= 0.884;
= 0.007). Furthermore, MMI outperformed both mpMRI and MG (the microcalcification group [
= 140]: AUC
= 0.997 vs. AUC
= 0.978,
= 0.018 and AUC
= 0.997 vs. AUC
= 0.912,
< 0.001; the non-microcalcification group [
= 59]: AUC
= 0.857 vs. AUC
= 0.768,
= 0.044 and AUC
= 0.857 vs. AUC
= 0.759,
= 0.039).
DCE-MRI combined with DWI and TIRM information could improve the diagnostic performance for discriminating NME lesions compared with DCE-MRI alone. Furthermore, MMI combining mpMRI and MG showed better discrimination than both mpMRI and MG. |
doi_str_mv | 10.1259/bjr.20220211 |
format | Article |
fullrecord | <record><control><sourceid>pubmed_cross</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10162064</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>35522775</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-1c4a37fb9d3eccdf3865d8d6f1cd2d3f3532353ce0f3144b3b71e00012e796f13</originalsourceid><addsrcrecordid>eNpVkdtKAzEQhoMotlbvvJY8QLfmsOlur0TaqoWKIAreLdkc2tRNUpKt0KfwlU2pLQoJITPf_DPDD8A1RgNM2Oi2XoUBQSQdjE9AFxd5mZUl-jgFXYRQkWFSsg64iHG1-7IROgcdyhghRcG64Hti-ML52BoB1ypoHyx3QkGv4WQ8zZ5fZ31oN01r1jxwq9qQuBSE3Ml93HrJG9NuobF8YdwCJgkoTRTBWON4a7zbidVB8dhC511meYxZYz4VVG65a2aVa2GjYkLjJTjTvInq6vftgfeH6dv4KZu_PM7G9_NMUEbaDIuc00LXI0mVEFLTcshkKYcaC0kk1ZRRkq5QSFOc5zWtC6zS_pioYpQo2gN3e931prZKijRC4E21TlPzsK08N9X_jDPLauG_KozwkKBhnhT6ewURfIxB6WMxRtXOmSo5Ux2cSfjN34ZH-GAF_QEyio4H</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions</title><source>MEDLINE</source><source>Oxford University Press Journals</source><source>EZB Electronic Journals Library</source><creator>Zang, Hui ; Liu, Hong-Li ; Zhu, Li-Yu ; Wang, Xiao ; Wei, Liang-Min ; Lou, Jian-Juan ; Zou, Qi-Gui ; Wang, Si-Qi ; Wang, Shou-Ju ; Jiang, Yan-Ni</creator><creatorcontrib>Zang, Hui ; Liu, Hong-Li ; Zhu, Li-Yu ; Wang, Xiao ; Wei, Liang-Min ; Lou, Jian-Juan ; Zou, Qi-Gui ; Wang, Si-Qi ; Wang, Shou-Ju ; Jiang, Yan-Ni</creatorcontrib><description>The aim of this study was to investigate and compare the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI, multiparametric MRI (mpMRI), and multimodality imaging (MMI) combining mpMRI and mammography (MG) for discriminating breast non-mass-like enhancement (NME) lesions.
This retrospective study enrolled 193 patients with 199 lesions who underwent 3.0 T MRI and MG from January 2017 to December 2019. The features of DCE-MRI, turbo inversion recovery magnitude (TIRM), and diffusion-weighted imaging (DWI) were assessed by two breast radiologists. Then, all lesions were divided into microcalcification and non-microcalcification groups to assess the features of MG. Comparisons were performed between groups using univariate analyses. Then, multivariate analyses were performed to construct diagnostic models for distinguishing NME lesions. Diagnostic performance was evaluated by using the area under the curve (AUC) and the differences between AUCs were evaluated by using the DeLong test.
Overall (
= 199), mpMRI outperformed DCE-MRI alone (AUC
= 0.924 vs
AUC
= 0.884;
= 0.007). Furthermore, MMI outperformed both mpMRI and MG (the microcalcification group [
= 140]: AUC
= 0.997 vs. AUC
= 0.978,
= 0.018 and AUC
= 0.997 vs. AUC
= 0.912,
< 0.001; the non-microcalcification group [
= 59]: AUC
= 0.857 vs. AUC
= 0.768,
= 0.044 and AUC
= 0.857 vs. AUC
= 0.759,
= 0.039).
DCE-MRI combined with DWI and TIRM information could improve the diagnostic performance for discriminating NME lesions compared with DCE-MRI alone. Furthermore, MMI combining mpMRI and MG showed better discrimination than both mpMRI and MG.</description><identifier>ISSN: 0007-1285</identifier><identifier>EISSN: 1748-880X</identifier><identifier>DOI: 10.1259/bjr.20220211</identifier><identifier>PMID: 35522775</identifier><language>eng</language><publisher>England: The British Institute of Radiology</publisher><subject>Breast - diagnostic imaging ; Breast - pathology ; Breast Diseases - pathology ; Breast Neoplasms - diagnostic imaging ; Breast Neoplasms - pathology ; Contrast Media ; Diffusion Magnetic Resonance Imaging - methods ; Female ; Humans ; Magnetic Resonance Imaging - methods ; Multiparametric Magnetic Resonance Imaging ; Retrospective Studies</subject><ispartof>British journal of radiology, 2022-08, Vol.95 (1136), p.20220211</ispartof><rights>2022 The Authors. Published by the British Institute of Radiology 2022 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-1c4a37fb9d3eccdf3865d8d6f1cd2d3f3532353ce0f3144b3b71e00012e796f13</citedby><cites>FETCH-LOGICAL-c352t-1c4a37fb9d3eccdf3865d8d6f1cd2d3f3532353ce0f3144b3b71e00012e796f13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35522775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zang, Hui</creatorcontrib><creatorcontrib>Liu, Hong-Li</creatorcontrib><creatorcontrib>Zhu, Li-Yu</creatorcontrib><creatorcontrib>Wang, Xiao</creatorcontrib><creatorcontrib>Wei, Liang-Min</creatorcontrib><creatorcontrib>Lou, Jian-Juan</creatorcontrib><creatorcontrib>Zou, Qi-Gui</creatorcontrib><creatorcontrib>Wang, Si-Qi</creatorcontrib><creatorcontrib>Wang, Shou-Ju</creatorcontrib><creatorcontrib>Jiang, Yan-Ni</creatorcontrib><title>Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions</title><title>British journal of radiology</title><addtitle>Br J Radiol</addtitle><description>The aim of this study was to investigate and compare the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI, multiparametric MRI (mpMRI), and multimodality imaging (MMI) combining mpMRI and mammography (MG) for discriminating breast non-mass-like enhancement (NME) lesions.
This retrospective study enrolled 193 patients with 199 lesions who underwent 3.0 T MRI and MG from January 2017 to December 2019. The features of DCE-MRI, turbo inversion recovery magnitude (TIRM), and diffusion-weighted imaging (DWI) were assessed by two breast radiologists. Then, all lesions were divided into microcalcification and non-microcalcification groups to assess the features of MG. Comparisons were performed between groups using univariate analyses. Then, multivariate analyses were performed to construct diagnostic models for distinguishing NME lesions. Diagnostic performance was evaluated by using the area under the curve (AUC) and the differences between AUCs were evaluated by using the DeLong test.
Overall (
= 199), mpMRI outperformed DCE-MRI alone (AUC
= 0.924 vs
AUC
= 0.884;
= 0.007). Furthermore, MMI outperformed both mpMRI and MG (the microcalcification group [
= 140]: AUC
= 0.997 vs. AUC
= 0.978,
= 0.018 and AUC
= 0.997 vs. AUC
= 0.912,
< 0.001; the non-microcalcification group [
= 59]: AUC
= 0.857 vs. AUC
= 0.768,
= 0.044 and AUC
= 0.857 vs. AUC
= 0.759,
= 0.039).
DCE-MRI combined with DWI and TIRM information could improve the diagnostic performance for discriminating NME lesions compared with DCE-MRI alone. Furthermore, MMI combining mpMRI and MG showed better discrimination than both mpMRI and MG.</description><subject>Breast - diagnostic imaging</subject><subject>Breast - pathology</subject><subject>Breast Diseases - pathology</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Breast Neoplasms - pathology</subject><subject>Contrast Media</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Multiparametric Magnetic Resonance Imaging</subject><subject>Retrospective Studies</subject><issn>0007-1285</issn><issn>1748-880X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkdtKAzEQhoMotlbvvJY8QLfmsOlur0TaqoWKIAreLdkc2tRNUpKt0KfwlU2pLQoJITPf_DPDD8A1RgNM2Oi2XoUBQSQdjE9AFxd5mZUl-jgFXYRQkWFSsg64iHG1-7IROgcdyhghRcG64Hti-ML52BoB1ypoHyx3QkGv4WQ8zZ5fZ31oN01r1jxwq9qQuBSE3Ml93HrJG9NuobF8YdwCJgkoTRTBWON4a7zbidVB8dhC511meYxZYz4VVG65a2aVa2GjYkLjJTjTvInq6vftgfeH6dv4KZu_PM7G9_NMUEbaDIuc00LXI0mVEFLTcshkKYcaC0kk1ZRRkq5QSFOc5zWtC6zS_pioYpQo2gN3e931prZKijRC4E21TlPzsK08N9X_jDPLauG_KozwkKBhnhT6ewURfIxB6WMxRtXOmSo5Ux2cSfjN34ZH-GAF_QEyio4H</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Zang, Hui</creator><creator>Liu, Hong-Li</creator><creator>Zhu, Li-Yu</creator><creator>Wang, Xiao</creator><creator>Wei, Liang-Min</creator><creator>Lou, Jian-Juan</creator><creator>Zou, Qi-Gui</creator><creator>Wang, Si-Qi</creator><creator>Wang, Shou-Ju</creator><creator>Jiang, Yan-Ni</creator><general>The British Institute of Radiology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20220801</creationdate><title>Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions</title><author>Zang, Hui ; Liu, Hong-Li ; Zhu, Li-Yu ; Wang, Xiao ; Wei, Liang-Min ; Lou, Jian-Juan ; Zou, Qi-Gui ; Wang, Si-Qi ; Wang, Shou-Ju ; Jiang, Yan-Ni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-1c4a37fb9d3eccdf3865d8d6f1cd2d3f3532353ce0f3144b3b71e00012e796f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Breast - diagnostic imaging</topic><topic>Breast - pathology</topic><topic>Breast Diseases - pathology</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Breast Neoplasms - pathology</topic><topic>Contrast Media</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Multiparametric Magnetic Resonance Imaging</topic><topic>Retrospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zang, Hui</creatorcontrib><creatorcontrib>Liu, Hong-Li</creatorcontrib><creatorcontrib>Zhu, Li-Yu</creatorcontrib><creatorcontrib>Wang, Xiao</creatorcontrib><creatorcontrib>Wei, Liang-Min</creatorcontrib><creatorcontrib>Lou, Jian-Juan</creatorcontrib><creatorcontrib>Zou, Qi-Gui</creatorcontrib><creatorcontrib>Wang, Si-Qi</creatorcontrib><creatorcontrib>Wang, Shou-Ju</creatorcontrib><creatorcontrib>Jiang, Yan-Ni</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zang, Hui</au><au>Liu, Hong-Li</au><au>Zhu, Li-Yu</au><au>Wang, Xiao</au><au>Wei, Liang-Min</au><au>Lou, Jian-Juan</au><au>Zou, Qi-Gui</au><au>Wang, Si-Qi</au><au>Wang, Shou-Ju</au><au>Jiang, Yan-Ni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions</atitle><jtitle>British journal of radiology</jtitle><addtitle>Br J Radiol</addtitle><date>2022-08-01</date><risdate>2022</risdate><volume>95</volume><issue>1136</issue><spage>20220211</spage><pages>20220211-</pages><issn>0007-1285</issn><eissn>1748-880X</eissn><abstract>The aim of this study was to investigate and compare the diagnostic performance of dynamic contrast-enhanced (DCE)-MRI, multiparametric MRI (mpMRI), and multimodality imaging (MMI) combining mpMRI and mammography (MG) for discriminating breast non-mass-like enhancement (NME) lesions.
This retrospective study enrolled 193 patients with 199 lesions who underwent 3.0 T MRI and MG from January 2017 to December 2019. The features of DCE-MRI, turbo inversion recovery magnitude (TIRM), and diffusion-weighted imaging (DWI) were assessed by two breast radiologists. Then, all lesions were divided into microcalcification and non-microcalcification groups to assess the features of MG. Comparisons were performed between groups using univariate analyses. Then, multivariate analyses were performed to construct diagnostic models for distinguishing NME lesions. Diagnostic performance was evaluated by using the area under the curve (AUC) and the differences between AUCs were evaluated by using the DeLong test.
Overall (
= 199), mpMRI outperformed DCE-MRI alone (AUC
= 0.924 vs
AUC
= 0.884;
= 0.007). Furthermore, MMI outperformed both mpMRI and MG (the microcalcification group [
= 140]: AUC
= 0.997 vs. AUC
= 0.978,
= 0.018 and AUC
= 0.997 vs. AUC
= 0.912,
< 0.001; the non-microcalcification group [
= 59]: AUC
= 0.857 vs. AUC
= 0.768,
= 0.044 and AUC
= 0.857 vs. AUC
= 0.759,
= 0.039).
DCE-MRI combined with DWI and TIRM information could improve the diagnostic performance for discriminating NME lesions compared with DCE-MRI alone. Furthermore, MMI combining mpMRI and MG showed better discrimination than both mpMRI and MG.</abstract><cop>England</cop><pub>The British Institute of Radiology</pub><pmid>35522775</pmid><doi>10.1259/bjr.20220211</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0007-1285 |
ispartof | British journal of radiology, 2022-08, Vol.95 (1136), p.20220211 |
issn | 0007-1285 1748-880X |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10162064 |
source | MEDLINE; Oxford University Press Journals; EZB Electronic Journals Library |
subjects | Breast - diagnostic imaging Breast - pathology Breast Diseases - pathology Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Contrast Media Diffusion Magnetic Resonance Imaging - methods Female Humans Magnetic Resonance Imaging - methods Multiparametric Magnetic Resonance Imaging Retrospective Studies |
title | Diagnostic performance of DCE-MRI, multiparametric MRI and multimodality imaging for discrimination of breast non-mass-like enhancement lesions |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T06%3A18%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diagnostic%20performance%20of%20DCE-MRI,%20multiparametric%20MRI%20and%20multimodality%20imaging%20for%20discrimination%20of%20breast%20non-mass-like%20enhancement%20lesions&rft.jtitle=British%20journal%20of%20radiology&rft.au=Zang,%20Hui&rft.date=2022-08-01&rft.volume=95&rft.issue=1136&rft.spage=20220211&rft.pages=20220211-&rft.issn=0007-1285&rft.eissn=1748-880X&rft_id=info:doi/10.1259/bjr.20220211&rft_dat=%3Cpubmed_cross%3E35522775%3C/pubmed_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/35522775&rfr_iscdi=true |