{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:07:09Z","timestamp":1787170029918,"version":"build-2736575974"},"reference-count":31,"publisher":"Ovid Technologies (Wolters Kluwer Health)","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>\n                      Whole-body diffusion-weighted imaging (WB-DWI) is commonly used for the detection of multiple myeloma (MM). Comparative data on the efficiency of WB-DWI compared with F-18 fluoro-2-deoxy-d-glucose positron emission tomography-computed tomography (\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET\/CT) to detect MM is limited.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      This was a retrospective, single-center study of 22 patients with MM enrolled from January 2018 to December 2019. All patients underwent WB-DWI and\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET\/CT. Pathological and clinical manifestations, as well as radiologic follow-up, were used for diagnosis. The overall accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of both methods were compared. The apparent diffusion coefficient (ADC) values of MM lesions and false-positive lesions were estimated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      A total of 214 MM bone lesions were evaluated. There was no significant difference in the accuracy of WB-DWI and PET\/CT (86.92 versus 88.32%). Though WB-DWI had a higher sensitivity (99.26% versus84.56%) and PET-CT had a higher specificity (96.10% versus 64.56%), these differences were not statistically significant. There was a statistically significant difference in PPV (83.33% versus 96.64%) and NPV (98.08% versus 77.89%) of WB-DWI and PET\/CT, respectively. The ADC value for MM lesions was significantly lower than that for false-positive lesions (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001). Receiver operating curve analysis showed that the AUC was 0.846, and when the cut-off value was 0.745 \u00d7 10\n                      <jats:sup>-3<\/jats:sup>\n                      mm\n                      <jats:sup>2<\/jats:sup>\n                      \/s, the sensitivity and specificity were 86.3 and 83.4%, respectively, which distinguished MM lesions from non-MM lesions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>\n                      WB-DWI and PET-CT scans have similar overall accuracy for detecting MM lesions. The higher PPV of PET-CT and NPV of WB-DWI make them complementary imaging modalities. The ADC value for MM lesions is significantly lower than that for false-positive lesions. An ADC cutoff value of 0.745 \u00d7 10\n                      <jats:sup>-3<\/jats:sup>\n                      mm\n                      <jats:sup>2<\/jats:sup>\n                      \/s results in sensitivity and specificity of 86.3 and 83.4%, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/ijc.ijc_1129_20","type":"journal-article","created":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T10:00:10Z","timestamp":1694253610000},"update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":1,"title":["Diagnostic value of WB-DWI versus 18F-FDG PET\/CT for the detection of multiple myeloma"],"prefix":"10.4103","author":[{"given":"Bei","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Radiology, First Hospital of Jilin University, Changchun, 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