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Whole-body diffusion-weighted MRI and (18)F-FDG PET/CT can discriminate between different lymphoma subtypes
To determine whether combined 2-[(18)F]-fluoro-2-deoxy-d-glucose ((18)F-FDG) positron-emission tomography (PET)/computed tomography (CT) and diffusion-weighted imaging (DWI) can be used for characterisation of different lymphoma subtypes, i.e., indolent versus aggressive lymphoma, and also to assess...
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Published in: | Clinical radiology 2015-11, Vol.70 (11), p.1229-1236 |
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description | To determine whether combined 2-[(18)F]-fluoro-2-deoxy-d-glucose ((18)F-FDG) positron-emission tomography (PET)/computed tomography (CT) and diffusion-weighted imaging (DWI) can be used for characterisation of different lymphoma subtypes, i.e., indolent versus aggressive lymphoma, and also to assess the prognostic value of different quantitative parameters of whole-body (WB) DWI and (18)F-FDG PET/CT.
Pre-therapeutic WB magnetic resonance imaging (MRI) including DWI and (18)F-FDG PET/CT were performed in lymphoma patients. Different quantitative DWI and (18)F-FDG PET/CT parameters were evaluated for characterisation of different lymphoma subtypes. These parameters were also correlated, both separately and in combination, against overall survival (OS) and progression-free survival (PFS). A lesion-by-lesion analysis was performed for correlation analysis between maximum standardised uptake value (SUVmax), mean standardised uptake value (SUVmean) and mean apparent diffusion coefficient (ADC).
Fifty patients were included in the study and divided into three groups: Hodgkin's lymphoma (HL), n=12; aggressive non-Hodgkin's lymphoma (NHL), n=29 (including 20 patients with diffuse large B-cell lymphoma, DLBCL); and indolent NHL, n=9. Indolent NHL showed significantly lower mean ADC values than the other two lymphoma groups (p=0.013). Aggressive NHL had a higher SUVmax than HL. The OS analysis of all patients showed a relationship (p=0.006) between increased mean ADC and longer OS. A model with both SUVmean and mean ADC, strengthened the possibility to predict PFS; however, a separate analysis of the DLBCL patients showed that none of the quantitative parameters could predict OS or PFS.
ADC can discriminate between indolent and aggressive NHL. This finding can be useful in assessing possible transformation from indolent to aggressive NHL. ADC, ADC/SUV, and SUV cannot predict OS/PFS independent of lymphoma subtype. |
doi_str_mv | 10.1016/j.crad.2015.06.087 |
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Pre-therapeutic WB magnetic resonance imaging (MRI) including DWI and (18)F-FDG PET/CT were performed in lymphoma patients. Different quantitative DWI and (18)F-FDG PET/CT parameters were evaluated for characterisation of different lymphoma subtypes. These parameters were also correlated, both separately and in combination, against overall survival (OS) and progression-free survival (PFS). A lesion-by-lesion analysis was performed for correlation analysis between maximum standardised uptake value (SUVmax), mean standardised uptake value (SUVmean) and mean apparent diffusion coefficient (ADC).
Fifty patients were included in the study and divided into three groups: Hodgkin's lymphoma (HL), n=12; aggressive non-Hodgkin's lymphoma (NHL), n=29 (including 20 patients with diffuse large B-cell lymphoma, DLBCL); and indolent NHL, n=9. Indolent NHL showed significantly lower mean ADC values than the other two lymphoma groups (p=0.013). Aggressive NHL had a higher SUVmax than HL. The OS analysis of all patients showed a relationship (p=0.006) between increased mean ADC and longer OS. A model with both SUVmean and mean ADC, strengthened the possibility to predict PFS; however, a separate analysis of the DLBCL patients showed that none of the quantitative parameters could predict OS or PFS.
ADC can discriminate between indolent and aggressive NHL. This finding can be useful in assessing possible transformation from indolent to aggressive NHL. ADC, ADC/SUV, and SUV cannot predict OS/PFS independent of lymphoma subtype.</description><identifier>ISSN: 0009-9260</identifier><identifier>ISSN: 1365-229X</identifier><identifier>EISSN: 1365-229X</identifier><identifier>DOI: 10.1016/j.crad.2015.06.087</identifier><identifier>PMID: 26208992</identifier><language>eng</language><publisher>England</publisher><subject>Adolescent ; Adult ; Aged ; Analysis of Variance ; Diagnosis, Differential ; Diffusion Magnetic Resonance Imaging - methods ; Diffusion Magnetic Resonance Imaging - standards ; Female ; Fluorodeoxyglucose F18 ; Humans ; Lymphoma, Non-Hodgkin - diagnosis ; Male ; Middle Aged ; Multimodal Imaging - methods ; Multimodal Imaging - standards ; Positron-Emission Tomography - methods ; Positron-Emission Tomography - standards ; Radiopharmaceuticals ; Sensitivity and Specificity ; Tomography, X-Ray Computed - methods ; Tomography, X-Ray Computed - standards ; Whole Body Imaging - methods ; Whole Body Imaging - standards ; Young Adult</subject><ispartof>Clinical radiology, 2015-11, Vol.70 (11), p.1229-1236</ispartof><rights>Copyright © 2015 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26208992$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-261197$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Mosavi, F</creatorcontrib><creatorcontrib>Wassberg, C</creatorcontrib><creatorcontrib>Selling, J</creatorcontrib><creatorcontrib>Molin, D</creatorcontrib><creatorcontrib>Ahlström, H</creatorcontrib><title>Whole-body diffusion-weighted MRI and (18)F-FDG PET/CT can discriminate between different lymphoma subtypes</title><title>Clinical radiology</title><addtitle>Clin Radiol</addtitle><description>To determine whether combined 2-[(18)F]-fluoro-2-deoxy-d-glucose ((18)F-FDG) positron-emission tomography (PET)/computed tomography (CT) and diffusion-weighted imaging (DWI) can be used for characterisation of different lymphoma subtypes, i.e., indolent versus aggressive lymphoma, and also to assess the prognostic value of different quantitative parameters of whole-body (WB) DWI and (18)F-FDG PET/CT.
Pre-therapeutic WB magnetic resonance imaging (MRI) including DWI and (18)F-FDG PET/CT were performed in lymphoma patients. Different quantitative DWI and (18)F-FDG PET/CT parameters were evaluated for characterisation of different lymphoma subtypes. These parameters were also correlated, both separately and in combination, against overall survival (OS) and progression-free survival (PFS). A lesion-by-lesion analysis was performed for correlation analysis between maximum standardised uptake value (SUVmax), mean standardised uptake value (SUVmean) and mean apparent diffusion coefficient (ADC).
Fifty patients were included in the study and divided into three groups: Hodgkin's lymphoma (HL), n=12; aggressive non-Hodgkin's lymphoma (NHL), n=29 (including 20 patients with diffuse large B-cell lymphoma, DLBCL); and indolent NHL, n=9. Indolent NHL showed significantly lower mean ADC values than the other two lymphoma groups (p=0.013). Aggressive NHL had a higher SUVmax than HL. The OS analysis of all patients showed a relationship (p=0.006) between increased mean ADC and longer OS. A model with both SUVmean and mean ADC, strengthened the possibility to predict PFS; however, a separate analysis of the DLBCL patients showed that none of the quantitative parameters could predict OS or PFS.
ADC can discriminate between indolent and aggressive NHL. This finding can be useful in assessing possible transformation from indolent to aggressive NHL. ADC, ADC/SUV, and SUV cannot predict OS/PFS independent of lymphoma subtype.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis of Variance</subject><subject>Diagnosis, Differential</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Diffusion Magnetic Resonance Imaging - standards</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18</subject><subject>Humans</subject><subject>Lymphoma, Non-Hodgkin - diagnosis</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multimodal Imaging - methods</subject><subject>Multimodal Imaging - standards</subject><subject>Positron-Emission Tomography - methods</subject><subject>Positron-Emission Tomography - standards</subject><subject>Radiopharmaceuticals</subject><subject>Sensitivity and Specificity</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tomography, X-Ray Computed - standards</subject><subject>Whole Body Imaging - methods</subject><subject>Whole Body Imaging - standards</subject><subject>Young Adult</subject><issn>0009-9260</issn><issn>1365-229X</issn><issn>1365-229X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNo9kMtOwzAQRS0EoqXwAyyQl0Uiqe04Trys-qJSEQiVxy6y40mbkhdxoqp_T6DAamako6M7F6FrSlxKqBjt3LhWxmWE-i4RLgmDE9SnnvAdxuT7KeoTQqQjmSA9dGHt7vvkjJ-jHhOMhFKyPvp425YZOLo0B2zSJGltWhbOHtLNtgGDH56XWBUGD2l4O3fm0wV-mq1HkzWOVdHxNq7TPC1UA1hDswcofiRQQ9Hg7JBX2zJX2La6OVRgL9FZojILV79zgF7ms_Xk3lk9LpaT8cqpqPACh4WK64SDjDXExhc-8G7jEKguvQq0JspnXMaJYZ4AEbIkkTKWoaGMx75IvAG6O3rtHqpWR1UXUtWHqFRpNE1fx1FZb6K2jZigVAYdPjziVV1-tmCbKO8egyxTBZStjWhAQ0lkyL0OvflFW52D-Tf_9el9AYQqeMM</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Mosavi, F</creator><creator>Wassberg, C</creator><creator>Selling, J</creator><creator>Molin, D</creator><creator>Ahlström, H</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DF2</scope></search><sort><creationdate>20151101</creationdate><title>Whole-body diffusion-weighted MRI and (18)F-FDG PET/CT can discriminate between different lymphoma subtypes</title><author>Mosavi, F ; Wassberg, C ; Selling, J ; Molin, D ; Ahlström, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1637-28a4bf4e9cbecd565e4cbe4e7a942a7bb0a5249cfd236e682ff99c98d124c56f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis of Variance</topic><topic>Diagnosis, Differential</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Diffusion Magnetic Resonance Imaging - standards</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18</topic><topic>Humans</topic><topic>Lymphoma, Non-Hodgkin - diagnosis</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multimodal Imaging - methods</topic><topic>Multimodal Imaging - standards</topic><topic>Positron-Emission Tomography - methods</topic><topic>Positron-Emission Tomography - standards</topic><topic>Radiopharmaceuticals</topic><topic>Sensitivity and Specificity</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tomography, X-Ray Computed - standards</topic><topic>Whole Body Imaging - methods</topic><topic>Whole Body Imaging - standards</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mosavi, F</creatorcontrib><creatorcontrib>Wassberg, C</creatorcontrib><creatorcontrib>Selling, J</creatorcontrib><creatorcontrib>Molin, D</creatorcontrib><creatorcontrib>Ahlström, H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Uppsala universitet</collection><jtitle>Clinical radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mosavi, F</au><au>Wassberg, C</au><au>Selling, J</au><au>Molin, D</au><au>Ahlström, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Whole-body diffusion-weighted MRI and (18)F-FDG PET/CT can discriminate between different lymphoma subtypes</atitle><jtitle>Clinical radiology</jtitle><addtitle>Clin Radiol</addtitle><date>2015-11-01</date><risdate>2015</risdate><volume>70</volume><issue>11</issue><spage>1229</spage><epage>1236</epage><pages>1229-1236</pages><issn>0009-9260</issn><issn>1365-229X</issn><eissn>1365-229X</eissn><abstract>To determine whether combined 2-[(18)F]-fluoro-2-deoxy-d-glucose ((18)F-FDG) positron-emission tomography (PET)/computed tomography (CT) and diffusion-weighted imaging (DWI) can be used for characterisation of different lymphoma subtypes, i.e., indolent versus aggressive lymphoma, and also to assess the prognostic value of different quantitative parameters of whole-body (WB) DWI and (18)F-FDG PET/CT.
Pre-therapeutic WB magnetic resonance imaging (MRI) including DWI and (18)F-FDG PET/CT were performed in lymphoma patients. Different quantitative DWI and (18)F-FDG PET/CT parameters were evaluated for characterisation of different lymphoma subtypes. These parameters were also correlated, both separately and in combination, against overall survival (OS) and progression-free survival (PFS). A lesion-by-lesion analysis was performed for correlation analysis between maximum standardised uptake value (SUVmax), mean standardised uptake value (SUVmean) and mean apparent diffusion coefficient (ADC).
Fifty patients were included in the study and divided into three groups: Hodgkin's lymphoma (HL), n=12; aggressive non-Hodgkin's lymphoma (NHL), n=29 (including 20 patients with diffuse large B-cell lymphoma, DLBCL); and indolent NHL, n=9. Indolent NHL showed significantly lower mean ADC values than the other two lymphoma groups (p=0.013). Aggressive NHL had a higher SUVmax than HL. The OS analysis of all patients showed a relationship (p=0.006) between increased mean ADC and longer OS. A model with both SUVmean and mean ADC, strengthened the possibility to predict PFS; however, a separate analysis of the DLBCL patients showed that none of the quantitative parameters could predict OS or PFS.
ADC can discriminate between indolent and aggressive NHL. This finding can be useful in assessing possible transformation from indolent to aggressive NHL. ADC, ADC/SUV, and SUV cannot predict OS/PFS independent of lymphoma subtype.</abstract><cop>England</cop><pmid>26208992</pmid><doi>10.1016/j.crad.2015.06.087</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Adult Aged Analysis of Variance Diagnosis, Differential Diffusion Magnetic Resonance Imaging - methods Diffusion Magnetic Resonance Imaging - standards Female Fluorodeoxyglucose F18 Humans Lymphoma, Non-Hodgkin - diagnosis Male Middle Aged Multimodal Imaging - methods Multimodal Imaging - standards Positron-Emission Tomography - methods Positron-Emission Tomography - standards Radiopharmaceuticals Sensitivity and Specificity Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - standards Whole Body Imaging - methods Whole Body Imaging - standards Young Adult |
title | Whole-body diffusion-weighted MRI and (18)F-FDG PET/CT can discriminate between different lymphoma subtypes |
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