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MRI fat fraction imaging of nodal and bone metastases in prostate cancer
Key Points • Characterisation and quantification of tissue fat on MRI can be used to provide information on disease processes. • Fat in bone and lymph nodes up until recently have not been exploited for diagnostic purposes or response monitoring in prostate cancer. • Fat imaging on MRI using Dixon/P...
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Published in: | European radiology 2023-08, Vol.33 (8), p.5851-5855 |
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container_title | European radiology |
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creator | Qin, Cathy Goldberg, Olivia Kakar, Geetanjali Wan, Simon Haroon, Athar Azam, Aishah Adeleke, Sola |
description | Key Points
• Characterisation and quantification of tissue fat on MRI can be used to provide information on disease processes.
• Fat in bone and lymph nodes up until recently have not been exploited for diagnostic purposes or response monitoring in prostate cancer.
• Fat imaging on MRI using Dixon/PDFF sequences has the potential to add clinical value in the future but prospective data is needed. |
doi_str_mv | 10.1007/s00330-023-09527-x |
format | article |
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• Characterisation and quantification of tissue fat on MRI can be used to provide information on disease processes.
• Fat in bone and lymph nodes up until recently have not been exploited for diagnostic purposes or response monitoring in prostate cancer.
• Fat imaging on MRI using Dixon/PDFF sequences has the potential to add clinical value in the future but prospective data is needed.</description><identifier>ISSN: 1432-1084</identifier><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-023-09527-x</identifier><identifier>PMID: 36928564</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bone cancer ; Bone imaging ; Bone Neoplasms - diagnostic imaging ; Bone Neoplasms - secondary ; Diagnostic Radiology ; Editorial ; Humans ; Imaging ; Information processing ; Internal Medicine ; Interventional Radiology ; Lymph Nodes ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Metastases ; Neuroradiology ; Prospective Studies ; Prostate cancer ; Prostatic Neoplasms - diagnosis ; Radiology ; Ultrasound</subject><ispartof>European radiology, 2023-08, Vol.33 (8), p.5851-5855</ispartof><rights>The Author(s), under exclusive licence to European Society of Radiology 2023</rights><rights>2023. The Author(s), under exclusive licence to European Society of Radiology.</rights><rights>The Author(s), under exclusive licence to European Society of Radiology 2023.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-d5868f594e782dca0cbcaee7e9121b5dbe1e8995dcd5b44c0d86d328e27e99d43</citedby><cites>FETCH-LOGICAL-c419t-d5868f594e782dca0cbcaee7e9121b5dbe1e8995dcd5b44c0d86d328e27e99d43</cites><orcidid>0000-0003-4873-396X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36928564$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Qin, Cathy</creatorcontrib><creatorcontrib>Goldberg, Olivia</creatorcontrib><creatorcontrib>Kakar, Geetanjali</creatorcontrib><creatorcontrib>Wan, Simon</creatorcontrib><creatorcontrib>Haroon, Athar</creatorcontrib><creatorcontrib>Azam, Aishah</creatorcontrib><creatorcontrib>Adeleke, Sola</creatorcontrib><title>MRI fat fraction imaging of nodal and bone metastases in prostate cancer</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Key Points
• Characterisation and quantification of tissue fat on MRI can be used to provide information on disease processes.
• Fat in bone and lymph nodes up until recently have not been exploited for diagnostic purposes or response monitoring in prostate cancer.
• Fat imaging on MRI using Dixon/PDFF sequences has the potential to add clinical value in the future but prospective data is needed.</description><subject>Bone cancer</subject><subject>Bone imaging</subject><subject>Bone Neoplasms - diagnostic imaging</subject><subject>Bone Neoplasms - secondary</subject><subject>Diagnostic Radiology</subject><subject>Editorial</subject><subject>Humans</subject><subject>Imaging</subject><subject>Information processing</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lymph Nodes</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastases</subject><subject>Neuroradiology</subject><subject>Prospective Studies</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - diagnosis</subject><subject>Radiology</subject><subject>Ultrasound</subject><issn>1432-1084</issn><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKAzEUhoMotlZfwIUE3LgZPbnMTLKU4qVQEUTXIZOcKVPaTJ1Mob690dYLLoRAcsh3_pN8hJwyuGQA5VUEEAIy4CIDnfMy2-yRIZOCZwyU3P91HpCjGOcAoJksD8lAFJqrvJBDcv_wNKG17WndWdc3baDN0s6aMKNtTUPr7YLa4GnVBqRL7G1MCyNtAl11bSp6pM4Gh90xOajtIuLJbh-Rl9ub5_F9Nn28m4yvp5mTTPeZz1Wh6lxLLBX3zoKrnEUsUTPOqtxXyFBpnXvn80pKB14VXnCFPCHaSzEiF9vcNP91jbE3yyY6XCxswHYdDVdCaF0WwBJ6_gedt-supNd9UgogL3Wi-JZy6UOxw9qsuuSgezMMzIdns_Vskmfz6dlsUtPZLnpdLdF_t3yJTYDYAjFdhRl2P7P_iX0HQKyIKg</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Qin, Cathy</creator><creator>Goldberg, Olivia</creator><creator>Kakar, Geetanjali</creator><creator>Wan, Simon</creator><creator>Haroon, Athar</creator><creator>Azam, Aishah</creator><creator>Adeleke, Sola</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4873-396X</orcidid></search><sort><creationdate>20230801</creationdate><title>MRI fat fraction imaging of nodal and bone metastases in prostate cancer</title><author>Qin, Cathy ; Goldberg, Olivia ; Kakar, Geetanjali ; Wan, Simon ; Haroon, Athar ; Azam, Aishah ; Adeleke, Sola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-d5868f594e782dca0cbcaee7e9121b5dbe1e8995dcd5b44c0d86d328e27e99d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bone cancer</topic><topic>Bone imaging</topic><topic>Bone Neoplasms - diagnostic imaging</topic><topic>Bone Neoplasms - secondary</topic><topic>Diagnostic Radiology</topic><topic>Editorial</topic><topic>Humans</topic><topic>Imaging</topic><topic>Information processing</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lymph Nodes</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastases</topic><topic>Neuroradiology</topic><topic>Prospective Studies</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - diagnosis</topic><topic>Radiology</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qin, Cathy</creatorcontrib><creatorcontrib>Goldberg, Olivia</creatorcontrib><creatorcontrib>Kakar, Geetanjali</creatorcontrib><creatorcontrib>Wan, Simon</creatorcontrib><creatorcontrib>Haroon, Athar</creatorcontrib><creatorcontrib>Azam, Aishah</creatorcontrib><creatorcontrib>Adeleke, Sola</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qin, Cathy</au><au>Goldberg, Olivia</au><au>Kakar, Geetanjali</au><au>Wan, Simon</au><au>Haroon, Athar</au><au>Azam, Aishah</au><au>Adeleke, Sola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MRI fat fraction imaging of nodal and bone metastases in prostate cancer</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>33</volume><issue>8</issue><spage>5851</spage><epage>5855</epage><pages>5851-5855</pages><issn>1432-1084</issn><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Key Points
• Characterisation and quantification of tissue fat on MRI can be used to provide information on disease processes.
• Fat in bone and lymph nodes up until recently have not been exploited for diagnostic purposes or response monitoring in prostate cancer.
• Fat imaging on MRI using Dixon/PDFF sequences has the potential to add clinical value in the future but prospective data is needed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>36928564</pmid><doi>10.1007/s00330-023-09527-x</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-4873-396X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bone cancer Bone imaging Bone Neoplasms - diagnostic imaging Bone Neoplasms - secondary Diagnostic Radiology Editorial Humans Imaging Information processing Internal Medicine Interventional Radiology Lymph Nodes Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medicine Medicine & Public Health Metastases Neuroradiology Prospective Studies Prostate cancer Prostatic Neoplasms - diagnosis Radiology Ultrasound |
title | MRI fat fraction imaging of nodal and bone metastases in prostate cancer |
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