Assessment of early treatment response on MRI in multiple myeloma: Comparative study of whole-body diffusion-weighted and lumbar spinal MRI
To compare remission status at completion of chemotherapy for multiple myeloma (MM) with changes in total diffusion volume (tDV) calculated from whole-body diffusion-weighted imaging (WB-DWI) and fat fraction (FF) of lumbar bone marrow (BM) by modified Dixon Quant (mDixon Quant) soon after induction...
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creator | Takasu, Miyuki Kondo, Shota Akiyama, Yuji Takahashi, Yuji Maeda, Shogo Baba, Yasutaka Kawase, Takakazu Ichinohe, Tatsuo Awai, Kazuo |
description | To compare remission status at completion of chemotherapy for multiple myeloma (MM) with changes in total diffusion volume (tDV) calculated from whole-body diffusion-weighted imaging (WB-DWI) and fat fraction (FF) of lumbar bone marrow (BM) by modified Dixon Quant (mDixon Quant) soon after induction of chemotherapy, and to assess the predictive value of MRI.
Fifty patients (mean age, 66.9 ± 10.5 years) with symptomatic myeloma were examined before and after two cycles of chemotherapy. From WB-DWI data, tDV was obtained with the threshold for positive BM involvement. Mean FF was calculated from lumbar BM using the mDixon Quant sequence. At the completion of chemotherapy, patients were categorized into a CR/very good PR (VGPR) group (n = 15; mean age, 67.6 ± 10.3 years) and a PR, SD or PD group (n = 35; mean age, 69.1 ± 8.6 years). ROC curves were plotted to assess performance in predicting achievement of CR/VGPR.
At second examination, serum M protein, β2-microglobulin, and tDV were significantly decreased and hemoglobin, mean ADC, and FF were significantly increased in the CR/VGPR group and serum M protein was significantly increased in the PR/SD/PD group. The general linear model demonstrated that percentage changes in FF and M protein contributed significantly to achieving CR/VGPR (P = 0.02, P = 0.04, respectively). AUCs of ROC curves were 0.964 for FF and 0.847 for M protein.
Early change in FF of lumbar BM and serum M protein soon after induction of chemotherapy contributed significantly to prediction of CR/VGPR. |
doi_str_mv | 10.1371/journal.pone.0229607 |
format | Article |
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Fifty patients (mean age, 66.9 ± 10.5 years) with symptomatic myeloma were examined before and after two cycles of chemotherapy. From WB-DWI data, tDV was obtained with the threshold for positive BM involvement. Mean FF was calculated from lumbar BM using the mDixon Quant sequence. At the completion of chemotherapy, patients were categorized into a CR/very good PR (VGPR) group (n = 15; mean age, 67.6 ± 10.3 years) and a PR, SD or PD group (n = 35; mean age, 69.1 ± 8.6 years). ROC curves were plotted to assess performance in predicting achievement of CR/VGPR.
At second examination, serum M protein, β2-microglobulin, and tDV were significantly decreased and hemoglobin, mean ADC, and FF were significantly increased in the CR/VGPR group and serum M protein was significantly increased in the PR/SD/PD group. The general linear model demonstrated that percentage changes in FF and M protein contributed significantly to achieving CR/VGPR (P = 0.02, P = 0.04, respectively). AUCs of ROC curves were 0.964 for FF and 0.847 for M protein.
Early change in FF of lumbar BM and serum M protein soon after induction of chemotherapy contributed significantly to prediction of CR/VGPR.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0229607</identifier><identifier>PMID: 32106239</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Aged ; Aged, 80 and over ; Biology and Life Sciences ; Bone imaging ; Bone marrow ; Bone Marrow - diagnostic imaging ; Cancer ; Cancer treatment ; Chemotherapy ; Cohort Studies ; Comparative literature ; Comparative studies ; Diagnostic imaging ; Diffusion ; Diffusion Magnetic Resonance Imaging - methods ; Driving while intoxicated ; Female ; Glycosylated hemoglobin ; Hematology ; Hemoglobin ; Hemoglobins ; Humans ; Lumbosacral Region - diagnostic imaging ; M protein ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical research ; Medicine and Health Sciences ; Methods ; Middle Aged ; Multiple myeloma ; Multiple Myeloma - blood ; Multiple Myeloma - diagnostic imaging ; Multiple Myeloma - drug therapy ; Myeloma Proteins - metabolism ; Patients ; Performance prediction ; Prognosis ; Proteins ; Remission ; Remission Induction ; Research and Analysis Methods ; Retrospective Studies ; Whole Body Imaging - methods ; β2 Microglobulin</subject><ispartof>PloS one, 2020-02, Vol.15 (2), p.e0229607-e0229607</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Takasu 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>2020 Takasu et al 2020 Takasu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-d18b6d610ace0a1af09f1b5046438ae98b4a1e5db7145501b51a953124566fad3</citedby><cites>FETCH-LOGICAL-c758t-d18b6d610ace0a1af09f1b5046438ae98b4a1e5db7145501b51a953124566fad3</cites><orcidid>0000-0002-0393-4066 ; 0000-0001-7375-6501</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/PMC7046272/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046272/$$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/32106239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Takasu, Miyuki</creatorcontrib><creatorcontrib>Kondo, Shota</creatorcontrib><creatorcontrib>Akiyama, Yuji</creatorcontrib><creatorcontrib>Takahashi, Yuji</creatorcontrib><creatorcontrib>Maeda, Shogo</creatorcontrib><creatorcontrib>Baba, Yasutaka</creatorcontrib><creatorcontrib>Kawase, Takakazu</creatorcontrib><creatorcontrib>Ichinohe, Tatsuo</creatorcontrib><creatorcontrib>Awai, Kazuo</creatorcontrib><title>Assessment of early treatment response on MRI in multiple myeloma: Comparative study of whole-body diffusion-weighted and lumbar spinal MRI</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To compare remission status at completion of chemotherapy for multiple myeloma (MM) with changes in total diffusion volume (tDV) calculated from whole-body diffusion-weighted imaging (WB-DWI) and fat fraction (FF) of lumbar bone marrow (BM) by modified Dixon Quant (mDixon Quant) soon after induction of chemotherapy, and to assess the predictive value of MRI.
Fifty patients (mean age, 66.9 ± 10.5 years) with symptomatic myeloma were examined before and after two cycles of chemotherapy. From WB-DWI data, tDV was obtained with the threshold for positive BM involvement. Mean FF was calculated from lumbar BM using the mDixon Quant sequence. At the completion of chemotherapy, patients were categorized into a CR/very good PR (VGPR) group (n = 15; mean age, 67.6 ± 10.3 years) and a PR, SD or PD group (n = 35; mean age, 69.1 ± 8.6 years). ROC curves were plotted to assess performance in predicting achievement of CR/VGPR.
At second examination, serum M protein, β2-microglobulin, and tDV were significantly decreased and hemoglobin, mean ADC, and FF were significantly increased in the CR/VGPR group and serum M protein was significantly increased in the PR/SD/PD group. The general linear model demonstrated that percentage changes in FF and M protein contributed significantly to achieving CR/VGPR (P = 0.02, P = 0.04, respectively). AUCs of ROC curves were 0.964 for FF and 0.847 for M protein.
Early change in FF of lumbar BM and serum M protein soon after induction of chemotherapy contributed significantly to prediction of CR/VGPR.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biology and Life Sciences</subject><subject>Bone imaging</subject><subject>Bone marrow</subject><subject>Bone Marrow - diagnostic imaging</subject><subject>Cancer</subject><subject>Cancer treatment</subject><subject>Chemotherapy</subject><subject>Cohort Studies</subject><subject>Comparative literature</subject><subject>Comparative studies</subject><subject>Diagnostic imaging</subject><subject>Diffusion</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Driving while intoxicated</subject><subject>Female</subject><subject>Glycosylated hemoglobin</subject><subject>Hematology</subject><subject>Hemoglobin</subject><subject>Hemoglobins</subject><subject>Humans</subject><subject>Lumbosacral Region - diagnostic imaging</subject><subject>M protein</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Multiple myeloma</subject><subject>Multiple Myeloma - blood</subject><subject>Multiple Myeloma - diagnostic imaging</subject><subject>Multiple Myeloma - drug therapy</subject><subject>Myeloma Proteins - metabolism</subject><subject>Patients</subject><subject>Performance prediction</subject><subject>Prognosis</subject><subject>Proteins</subject><subject>Remission</subject><subject>Remission Induction</subject><subject>Research and Analysis Methods</subject><subject>Retrospective Studies</subject><subject>Whole Body Imaging - methods</subject><subject>β2 Microglobulin</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tu1DAQhiMEoqXwBggsISG42CU-JuECaVVxWKmoUjncWpNksuuVEy-207LPwEvjbbfVLuoFyoWT8Tf_ZH57suw5zaeUF_Tdyo1-ADtduwGnOWOVyosH2TGtOJsolvOHe-9H2ZMQVnkueanU4-yIM5orxqvj7M8sBAyhxyES1xEEbzckeoR4HfIYkn5A4gby9WJOzED60Uaztkj6DVrXw3ty6vo1eIjmEkmIY7vZKl0tncVJ7dJXa7puDMYNkys0i2XElsDQEjv2NXgS1ia1sVV_mj3qwAZ8tltPsh-fPn4__TI5O_88P52dTZpClnHS0rJWraI5NJgDhS6vOlrLXCjBS8CqrAVQlG1dUCFlnrYoVJJTJqRSHbT8JHt5o7u2Luidj0EzrpQsS0plIuY3ROtgpdfe9OA32oHR1wHnFxp8NI1FLXkFFaNNVVAUTarGhRAVlawWtG6FSFofdtXGuse2SbZ6sAeihzuDWeqFu9RF6ogVLAm82Ql492vEEHVvQoPWwoBuvP7vSjDGOU3oq3_Q-7vbUQtIDZihc6lusxXVM0Wl4MnLIlHTe6j0tNibJl26zqT4QcLbg4TERPwdFzCGoOffLv6fPf95yL7eY5cINi6Ds2NMNyocguIGbLwLwWN3ZzLN9XZmbt3Q25nRu5lJaS_2D-gu6XZI-F-iqxG6</recordid><startdate>20200227</startdate><enddate>20200227</enddate><creator>Takasu, Miyuki</creator><creator>Kondo, Shota</creator><creator>Akiyama, Yuji</creator><creator>Takahashi, Yuji</creator><creator>Maeda, Shogo</creator><creator>Baba, Yasutaka</creator><creator>Kawase, Takakazu</creator><creator>Ichinohe, Tatsuo</creator><creator>Awai, Kazuo</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/0000-0002-0393-4066</orcidid><orcidid>https://orcid.org/0000-0001-7375-6501</orcidid></search><sort><creationdate>20200227</creationdate><title>Assessment of early treatment response on MRI in multiple myeloma: Comparative study of whole-body diffusion-weighted and lumbar spinal MRI</title><author>Takasu, Miyuki ; Kondo, Shota ; Akiyama, Yuji ; Takahashi, Yuji ; Maeda, Shogo ; Baba, Yasutaka ; Kawase, Takakazu ; Ichinohe, Tatsuo ; Awai, Kazuo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-d18b6d610ace0a1af09f1b5046438ae98b4a1e5db7145501b51a953124566fad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biology and Life Sciences</topic><topic>Bone imaging</topic><topic>Bone marrow</topic><topic>Bone Marrow - diagnostic imaging</topic><topic>Cancer</topic><topic>Cancer treatment</topic><topic>Chemotherapy</topic><topic>Cohort Studies</topic><topic>Comparative literature</topic><topic>Comparative studies</topic><topic>Diagnostic imaging</topic><topic>Diffusion</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Driving while intoxicated</topic><topic>Female</topic><topic>Glycosylated hemoglobin</topic><topic>Hematology</topic><topic>Hemoglobin</topic><topic>Hemoglobins</topic><topic>Humans</topic><topic>Lumbosacral Region - diagnostic imaging</topic><topic>M protein</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Multiple myeloma</topic><topic>Multiple Myeloma - blood</topic><topic>Multiple Myeloma - diagnostic imaging</topic><topic>Multiple Myeloma - drug therapy</topic><topic>Myeloma Proteins - 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Fifty patients (mean age, 66.9 ± 10.5 years) with symptomatic myeloma were examined before and after two cycles of chemotherapy. From WB-DWI data, tDV was obtained with the threshold for positive BM involvement. Mean FF was calculated from lumbar BM using the mDixon Quant sequence. At the completion of chemotherapy, patients were categorized into a CR/very good PR (VGPR) group (n = 15; mean age, 67.6 ± 10.3 years) and a PR, SD or PD group (n = 35; mean age, 69.1 ± 8.6 years). ROC curves were plotted to assess performance in predicting achievement of CR/VGPR.
At second examination, serum M protein, β2-microglobulin, and tDV were significantly decreased and hemoglobin, mean ADC, and FF were significantly increased in the CR/VGPR group and serum M protein was significantly increased in the PR/SD/PD group. The general linear model demonstrated that percentage changes in FF and M protein contributed significantly to achieving CR/VGPR (P = 0.02, P = 0.04, respectively). AUCs of ROC curves were 0.964 for FF and 0.847 for M protein.
Early change in FF of lumbar BM and serum M protein soon after induction of chemotherapy contributed significantly to prediction of CR/VGPR.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32106239</pmid><doi>10.1371/journal.pone.0229607</doi><tpages>e0229607</tpages><orcidid>https://orcid.org/0000-0002-0393-4066</orcidid><orcidid>https://orcid.org/0000-0001-7375-6501</orcidid><oa>free_for_read</oa></addata></record> |
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recordid | cdi_plos_journals_2366588115 |
source | PLoS; MEDLINE; PubMed Central; Directory of Open Access Journals; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library |
subjects | Adult Age Aged Aged, 80 and over Biology and Life Sciences Bone imaging Bone marrow Bone Marrow - diagnostic imaging Cancer Cancer treatment Chemotherapy Cohort Studies Comparative literature Comparative studies Diagnostic imaging Diffusion Diffusion Magnetic Resonance Imaging - methods Driving while intoxicated Female Glycosylated hemoglobin Hematology Hemoglobin Hemoglobins Humans Lumbosacral Region - diagnostic imaging M protein Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical research Medicine and Health Sciences Methods Middle Aged Multiple myeloma Multiple Myeloma - blood Multiple Myeloma - diagnostic imaging Multiple Myeloma - drug therapy Myeloma Proteins - metabolism Patients Performance prediction Prognosis Proteins Remission Remission Induction Research and Analysis Methods Retrospective Studies Whole Body Imaging - methods β2 Microglobulin |
title | Assessment of early treatment response on MRI in multiple myeloma: Comparative study of whole-body diffusion-weighted and lumbar spinal MRI |
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