Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study
To determine which of four Dixon image types [in-phase (IP), out-of-phase (OP), fat only (FO) and water-only (WO)] is most sensitive for detecting multiple myeloma (MM) focal lesions on whole body MRI (WB-MRI) images. Thirty patients with clinically-suspected MM underwent WB-MRI at 3 Tesla. Unenhanc...
Gespeichert in:
Veröffentlicht in: | PloS one 2017-07, Vol.12 (7), p.e0180562-e0180562 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0180562 |
---|---|
container_issue | 7 |
container_start_page | e0180562 |
container_title | PloS one |
container_volume | 12 |
creator | Bray, Timothy J P Singh, Saurabh Latifoltojar, Arash Rajesparan, Kannan Rahman, Farzana Narayanan, Priya Naaseri, Sahar Lopes, Andre Bainbridge, Alan Punwani, Shonit Hall-Craggs, Margaret A |
description | To determine which of four Dixon image types [in-phase (IP), out-of-phase (OP), fat only (FO) and water-only (WO)] is most sensitive for detecting multiple myeloma (MM) focal lesions on whole body MRI (WB-MRI) images.
Thirty patients with clinically-suspected MM underwent WB-MRI at 3 Tesla. Unenhanced IP, OP, FO and WO Dixon images were generated and read by four radiologists. On each image type, each radiologist identified and labelled all visible myeloma lesions in the bony pelvis. Each identified lesion was compared with a reference standard consisting of pre- and post-contrast Dixon and diffusion weighted imaging (read by a further consultant radiologist) to determine whether the lesion was truly positive. Lesion count, true positives, sensitivity, and positive predictive value were compared across the four Dixon image types.
Lesion count, true positives, sensitivity and confidence scores were all significantly higher on FO images than on IP images (p>0.05).
FO images are more sensitive than other Dixon image types for MM focal lesions, and should be preferentially read by radiologists to improve diagnostic accuracy and reporting efficiency. |
doi_str_mv | 10.1371/journal.pone.0180562 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1915544637</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A497653137</galeid><doaj_id>oai_doaj_org_article_e7e7a678581d4e7aa4e640e32c253f13</doaj_id><sourcerecordid>A497653137</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-d5e74a7d37fc5bb7599e41dd3364f436aa5577c444fe6702ab09e0dd4bf81e2f3</originalsourceid><addsrcrecordid>eNqNkl1v0zAUhiMEYlvhHyCIhITgosWOvxIukKqNj0pDk8bg1nLik9aVE3d2MtZ_j7tmU4N2gXxh6_g57_E5fpPkFUYzTAT-uHa9b5WdbVwLM4RzxHj2JDnGBcmmPEPk6cH5KDkJYY0QIznnz5OjLOciQ0gcJ1dnRi1bFzpTpX1nrOm2qavTPytnIS2d3qZn5ta16Y_LRWratOltZzbxqtmCdY36lM73sakHpcGnoev19kXyrFY2wMthnyS_vn65Ov0-Pb_4tjidn08rXmTdVDMQVAlNRF2xshSsKIBirQnhtKaEK8WYEBWltAYuUKZKVADSmpZ1jiGrySR5s9fdWBfkMJAgcYEZo5QTEYnFntBOreXGm0b5rXTKyLuA80upfOzdggQBQnGRsxxrGo-KAqcISFZljNSYRK3PQ7W-bEBX0HZe2ZHo-KY1K7l0N5LRgrH4C5Pk_SDg3XUPoZONCRVYq1pw_f7dueAZzSP69h_08e4GaqliA6atXaxb7UTlnBaCM4LvqNkjVFwaGlNF99QmxkcJH0YJkengtluqPgS5-Hn5_-zF7zH77oBdgbLdKjgbbefaMAbpHqy8C8FD_TBkjOTO_PfTkDvzy8H8Me314Qc9JN27nfwFIZn-Mw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1915544637</pqid></control><display><type>article</type><title>Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Bray, Timothy J P ; Singh, Saurabh ; Latifoltojar, Arash ; Rajesparan, Kannan ; Rahman, Farzana ; Narayanan, Priya ; Naaseri, Sahar ; Lopes, Andre ; Bainbridge, Alan ; Punwani, Shonit ; Hall-Craggs, Margaret A</creator><creatorcontrib>Bray, Timothy J P ; Singh, Saurabh ; Latifoltojar, Arash ; Rajesparan, Kannan ; Rahman, Farzana ; Narayanan, Priya ; Naaseri, Sahar ; Lopes, Andre ; Bainbridge, Alan ; Punwani, Shonit ; Hall-Craggs, Margaret A</creatorcontrib><description>To determine which of four Dixon image types [in-phase (IP), out-of-phase (OP), fat only (FO) and water-only (WO)] is most sensitive for detecting multiple myeloma (MM) focal lesions on whole body MRI (WB-MRI) images.
Thirty patients with clinically-suspected MM underwent WB-MRI at 3 Tesla. Unenhanced IP, OP, FO and WO Dixon images were generated and read by four radiologists. On each image type, each radiologist identified and labelled all visible myeloma lesions in the bony pelvis. Each identified lesion was compared with a reference standard consisting of pre- and post-contrast Dixon and diffusion weighted imaging (read by a further consultant radiologist) to determine whether the lesion was truly positive. Lesion count, true positives, sensitivity, and positive predictive value were compared across the four Dixon image types.
Lesion count, true positives, sensitivity and confidence scores were all significantly higher on FO images than on IP images (p>0.05).
FO images are more sensitive than other Dixon image types for MM focal lesions, and should be preferentially read by radiologists to improve diagnostic accuracy and reporting efficiency.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0180562</identifier><identifier>PMID: 28672007</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biology and Life Sciences ; Blood diseases ; Bone marrow ; Diagnostic systems ; Female ; Humans ; Lesions ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical diagnosis ; Medical imaging ; Medical imaging equipment ; Medical research ; Medicine and Health Sciences ; Middle Aged ; Morphology ; Multiple myeloma ; Multiple Myeloma - diagnostic imaging ; NMR ; Nuclear magnetic resonance ; Patients ; Pelvis ; People and Places ; Physical Sciences ; Prospective Studies ; Research and Analysis Methods ; Sensitivity ; Working groups</subject><ispartof>PloS one, 2017-07, Vol.12 (7), p.e0180562-e0180562</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Bray et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Bray et al 2017 Bray et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d5e74a7d37fc5bb7599e41dd3364f436aa5577c444fe6702ab09e0dd4bf81e2f3</citedby><cites>FETCH-LOGICAL-c692t-d5e74a7d37fc5bb7599e41dd3364f436aa5577c444fe6702ab09e0dd4bf81e2f3</cites><orcidid>0000-0001-8886-5356</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495520/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495520/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28672007$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bray, Timothy J P</creatorcontrib><creatorcontrib>Singh, Saurabh</creatorcontrib><creatorcontrib>Latifoltojar, Arash</creatorcontrib><creatorcontrib>Rajesparan, Kannan</creatorcontrib><creatorcontrib>Rahman, Farzana</creatorcontrib><creatorcontrib>Narayanan, Priya</creatorcontrib><creatorcontrib>Naaseri, Sahar</creatorcontrib><creatorcontrib>Lopes, Andre</creatorcontrib><creatorcontrib>Bainbridge, Alan</creatorcontrib><creatorcontrib>Punwani, Shonit</creatorcontrib><creatorcontrib>Hall-Craggs, Margaret A</creatorcontrib><title>Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To determine which of four Dixon image types [in-phase (IP), out-of-phase (OP), fat only (FO) and water-only (WO)] is most sensitive for detecting multiple myeloma (MM) focal lesions on whole body MRI (WB-MRI) images.
Thirty patients with clinically-suspected MM underwent WB-MRI at 3 Tesla. Unenhanced IP, OP, FO and WO Dixon images were generated and read by four radiologists. On each image type, each radiologist identified and labelled all visible myeloma lesions in the bony pelvis. Each identified lesion was compared with a reference standard consisting of pre- and post-contrast Dixon and diffusion weighted imaging (read by a further consultant radiologist) to determine whether the lesion was truly positive. Lesion count, true positives, sensitivity, and positive predictive value were compared across the four Dixon image types.
Lesion count, true positives, sensitivity and confidence scores were all significantly higher on FO images than on IP images (p>0.05).
FO images are more sensitive than other Dixon image types for MM focal lesions, and should be preferentially read by radiologists to improve diagnostic accuracy and reporting efficiency.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biology and Life Sciences</subject><subject>Blood diseases</subject><subject>Bone marrow</subject><subject>Diagnostic systems</subject><subject>Female</subject><subject>Humans</subject><subject>Lesions</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medical imaging equipment</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Morphology</subject><subject>Multiple myeloma</subject><subject>Multiple Myeloma - diagnostic imaging</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Patients</subject><subject>Pelvis</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Prospective Studies</subject><subject>Research and Analysis Methods</subject><subject>Sensitivity</subject><subject>Working groups</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAUhiMEYlvhHyCIhITgosWOvxIukKqNj0pDk8bg1nLik9aVE3d2MtZ_j7tmU4N2gXxh6_g57_E5fpPkFUYzTAT-uHa9b5WdbVwLM4RzxHj2JDnGBcmmPEPk6cH5KDkJYY0QIznnz5OjLOciQ0gcJ1dnRi1bFzpTpX1nrOm2qavTPytnIS2d3qZn5ta16Y_LRWratOltZzbxqtmCdY36lM73sakHpcGnoev19kXyrFY2wMthnyS_vn65Ov0-Pb_4tjidn08rXmTdVDMQVAlNRF2xshSsKIBirQnhtKaEK8WYEBWltAYuUKZKVADSmpZ1jiGrySR5s9fdWBfkMJAgcYEZo5QTEYnFntBOreXGm0b5rXTKyLuA80upfOzdggQBQnGRsxxrGo-KAqcISFZljNSYRK3PQ7W-bEBX0HZe2ZHo-KY1K7l0N5LRgrH4C5Pk_SDg3XUPoZONCRVYq1pw_f7dueAZzSP69h_08e4GaqliA6atXaxb7UTlnBaCM4LvqNkjVFwaGlNF99QmxkcJH0YJkengtluqPgS5-Hn5_-zF7zH77oBdgbLdKjgbbefaMAbpHqy8C8FD_TBkjOTO_PfTkDvzy8H8Me314Qc9JN27nfwFIZn-Mw</recordid><startdate>20170703</startdate><enddate>20170703</enddate><creator>Bray, Timothy J P</creator><creator>Singh, Saurabh</creator><creator>Latifoltojar, Arash</creator><creator>Rajesparan, Kannan</creator><creator>Rahman, Farzana</creator><creator>Narayanan, Priya</creator><creator>Naaseri, Sahar</creator><creator>Lopes, Andre</creator><creator>Bainbridge, Alan</creator><creator>Punwani, Shonit</creator><creator>Hall-Craggs, Margaret A</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8886-5356</orcidid></search><sort><creationdate>20170703</creationdate><title>Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study</title><author>Bray, Timothy J P ; Singh, Saurabh ; Latifoltojar, Arash ; Rajesparan, Kannan ; Rahman, Farzana ; Narayanan, Priya ; Naaseri, Sahar ; Lopes, Andre ; Bainbridge, Alan ; Punwani, Shonit ; Hall-Craggs, Margaret A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d5e74a7d37fc5bb7599e41dd3364f436aa5577c444fe6702ab09e0dd4bf81e2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biology and Life Sciences</topic><topic>Blood diseases</topic><topic>Bone marrow</topic><topic>Diagnostic systems</topic><topic>Female</topic><topic>Humans</topic><topic>Lesions</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medical imaging equipment</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Morphology</topic><topic>Multiple myeloma</topic><topic>Multiple Myeloma - diagnostic imaging</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Patients</topic><topic>Pelvis</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Prospective Studies</topic><topic>Research and Analysis Methods</topic><topic>Sensitivity</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bray, Timothy J P</creatorcontrib><creatorcontrib>Singh, Saurabh</creatorcontrib><creatorcontrib>Latifoltojar, Arash</creatorcontrib><creatorcontrib>Rajesparan, Kannan</creatorcontrib><creatorcontrib>Rahman, Farzana</creatorcontrib><creatorcontrib>Narayanan, Priya</creatorcontrib><creatorcontrib>Naaseri, Sahar</creatorcontrib><creatorcontrib>Lopes, Andre</creatorcontrib><creatorcontrib>Bainbridge, Alan</creatorcontrib><creatorcontrib>Punwani, Shonit</creatorcontrib><creatorcontrib>Hall-Craggs, Margaret A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bray, Timothy J P</au><au>Singh, Saurabh</au><au>Latifoltojar, Arash</au><au>Rajesparan, Kannan</au><au>Rahman, Farzana</au><au>Narayanan, Priya</au><au>Naaseri, Sahar</au><au>Lopes, Andre</au><au>Bainbridge, Alan</au><au>Punwani, Shonit</au><au>Hall-Craggs, Margaret A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-07-03</date><risdate>2017</risdate><volume>12</volume><issue>7</issue><spage>e0180562</spage><epage>e0180562</epage><pages>e0180562-e0180562</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To determine which of four Dixon image types [in-phase (IP), out-of-phase (OP), fat only (FO) and water-only (WO)] is most sensitive for detecting multiple myeloma (MM) focal lesions on whole body MRI (WB-MRI) images.
Thirty patients with clinically-suspected MM underwent WB-MRI at 3 Tesla. Unenhanced IP, OP, FO and WO Dixon images were generated and read by four radiologists. On each image type, each radiologist identified and labelled all visible myeloma lesions in the bony pelvis. Each identified lesion was compared with a reference standard consisting of pre- and post-contrast Dixon and diffusion weighted imaging (read by a further consultant radiologist) to determine whether the lesion was truly positive. Lesion count, true positives, sensitivity, and positive predictive value were compared across the four Dixon image types.
Lesion count, true positives, sensitivity and confidence scores were all significantly higher on FO images than on IP images (p>0.05).
FO images are more sensitive than other Dixon image types for MM focal lesions, and should be preferentially read by radiologists to improve diagnostic accuracy and reporting efficiency.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28672007</pmid><doi>10.1371/journal.pone.0180562</doi><tpages>e0180562</tpages><orcidid>https://orcid.org/0000-0001-8886-5356</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-07, Vol.12 (7), p.e0180562-e0180562 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1915544637 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adult Aged Aged, 80 and over Biology and Life Sciences Blood diseases Bone marrow Diagnostic systems Female Humans Lesions Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical diagnosis Medical imaging Medical imaging equipment Medical research Medicine and Health Sciences Middle Aged Morphology Multiple myeloma Multiple Myeloma - diagnostic imaging NMR Nuclear magnetic resonance Patients Pelvis People and Places Physical Sciences Prospective Studies Research and Analysis Methods Sensitivity Working groups |
title | Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T09%3A05%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diagnostic%20utility%20of%20whole%20body%20Dixon%20MRI%20in%20multiple%20myeloma:%20A%20multi-reader%20study&rft.jtitle=PloS%20one&rft.au=Bray,%20Timothy%20J%20P&rft.date=2017-07-03&rft.volume=12&rft.issue=7&rft.spage=e0180562&rft.epage=e0180562&rft.pages=e0180562-e0180562&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0180562&rft_dat=%3Cgale_plos_%3EA497653137%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1915544637&rft_id=info:pmid/28672007&rft_galeid=A497653137&rft_doaj_id=oai_doaj_org_article_e7e7a678581d4e7aa4e640e32c253f13&rfr_iscdi=true |