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Two radiologists and a nuclear medicine physician independently evaluated all images. Discrepancies between WB-MRI and FDG-PET\/CT were assessed by an expert panel. All FDG-PET\/CT errors were corrected to derive the FDG-PET\/CT-based reference standard. The expert panel corrected all reader errors in the WB-MRI DWI dataset to form the intrinsic MRI data. Inter-observer agreement for WB-MRI DWI was calculated using overall agreement, specific agreements and kappa statistics. Concordance for correct classification of all disease sites and disease stage between WB-MRI (without DWI, with DWI and intrinsic WB-MRI DWI) and the reference standard was calculated as primary outcome. Secondary outcomes included positive predictive value, negative predictive value and kappa statistics. Clustering within patients was accounted for using a mixed-effect logistic regression model with random intercepts and a multilevel kappa analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Sixty-eight children were included. Inter-observer agreement between WB-MRI DWI readers was good for disease stage (\n                      <jats:italic>\u03ba<\/jats:italic>\n                      = 0.74). WB-MRI DWI agreed with the FDG-PET\/CT-based reference standard for determining disease stage in 96% of the patients versus 88% for WB-MRI without DWI. Agreement between WB-MRI DWI and the reference standard was excellent for both nodal (98%) and extra-nodal (100%) staging.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>WB-MRI DWI showed excellent agreement with the FDG-PET\/CT-based reference standard. The addition of DWI to the WB-MRI protocol improved the staging agreement.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:italic>\u2022 This study showed excellent agreement between WB-MRI DWI and an FDG-PET\/CT-based reference standard for staging paediatric HL.<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:italic>\u2022 Diffusion-weighted imaging is a useful addition to WB-MRI in staging paediatric HL.<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:italic>\u2022 Inter-observer agreement for WB-MRI DWI was good for both nodal and extra-nodal staging and determining disease stage.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-020-07182-0","type":"journal-article","created":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T09:02:56Z","timestamp":1599123776000},"page":"1494-1504","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Whole-body MRI versus an FDG-PET\/CT-based reference standard for staging of paediatric Hodgkin lymphoma: a prospective multicentre study"],"prefix":"10.1007","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9632-7002","authenticated-orcid":false,"given":"Suzanne","family":"Spijkers","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annemieke S.","family":"Littooij","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas C.","family":"Kwee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nelleke","family":"Tolboom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Auke","family":"Beishuizen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marrie C. 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