{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T23:26:18Z","timestamp":1783034778954,"version":"3.54.6"},"reference-count":33,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>The International Myeloma Working Group (IMWG) consensus criteria for response assessment\u00a0in multiple myeloma (MM) has methodological limitations. Whole\u2010body diffusion\u2010weighted imaging (DWI) with apparent diffusion coefficient (ADC) histogram analysis may be complementary to response assessment of MM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To explore the role of histogram analysis of the ADC based on the total tumor volume (ttADC) in response assessment in patients with newly diagnosed MM (NDMM).<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Thirty\u2010six patients with NDMM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3.0T\/single\u2010shot DWI echo planar imaging (EPI) sequence with an integrated slice\u2010by\u2010slice shimming (iShim) technique.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Baseline (median: 1\u2009day before treatment) and post\u2010treatment (median: five cycles of therapy) whole\u2010body DWI were analyzed. A region of interest (ROI) containing lesions on every section of baseline image was drawn to derive the per\u2010patient total tumor data. Post\u2010treatment image analysis was based on the same ROI as the corresponding baseline. Histogram metrics were extracted from both ROIs. Patients were categorized into the very good partial response or better (VGPR+) group and the less than VGPR group per the IMWG response criteria for response assessment. Progression\u2010free survival (PFS) was also calculated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Mann\u2013Whitney test and Fisher's exact or Chi\u2010squared tests, Receiver operating characteristic (ROC) analysis and DeLong test, Kaplan\u2013Meier analysis and Cox proportional hazards model. A two\u2010tailed <jats:italic>P<\/jats:italic>\u2010value &lt;0.05 was considered statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Thirty patients were categorized into the VGPR+ group and six into the less than VGPR group. The ttADC histogram changes between post\u2010treatment and baseline metrics (\u0394ttADC) revealed significant differences in all percentile values between the VGPR+ and less than VGPR groups. For distinguishing VGPR+, \u0394ttADC_5th percentile had the largest area under the curve (AUC) (0.950, 95% CI 0.821\u20130.995). Patients with lower \u0394ttADC_5th percentile values (cutoff point,\u00a0188.193) showed significantly longer PFS (HR\u2009=\u200934.911, 95% CI 6.392\u2013190.677).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>ttADC histogram may facilitate response assessment in patients with NDMM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>3<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 4<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29155","type":"journal-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T11:43:03Z","timestamp":1702467783000},"page":"1051-1060","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Treatment Response Assessment in Multiple Myeloma: Histogram Analysis of Total Tumor Apparent Diffusion Coefficient based on Whole\u2010body Diffusion\u2010weighted <scp>MR<\/scp> Imaging"],"prefix":"10.1002","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7249-2855","authenticated-orcid":false,"given":"Yuhan","family":"Gao","sequence":"first","affiliation":[{"name":"Department of Hematology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2970-2642","authenticated-orcid":false,"given":"Qin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0860-9625","authenticated-orcid":false,"given":"Lu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Hematology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuo","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shitian","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinxia","family":"Zhu","sequence":"additional","affiliation":[{"name":"MR Research Collaboration, Siemens Healthineers Ltd.  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