{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T11:48:10Z","timestamp":1791805690138,"version":"4.3.4"},"reference-count":42,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,29]],"date-time":"2022-01-29T00:00:00Z","timestamp":1643414400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Federal Ministry of Education and Research","doi-asserted-by":"publisher","award":["FKZ 13GW0163B"],"award-info":[{"award-number":["FKZ 13GW0163B"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>The spleen is often involved in malignant lymphoma, which manifests on CT as either splenomegaly or focal, hypodense lymphoma lesions. This study aimed to investigate the diagnostic value of radiomics features of the spleen in classifying malignant lymphoma against non-lymphoma as well as the determination of malignant lymphoma subtypes in the case of disease presence\u2014in particular Hodgkin lymphoma (HL), diffuse large B-cell lymphoma (DLBCL), mantle-cell lymphoma (MCL), and follicular lymphoma (FL). Spleen segmentations of 326 patients (139 female, median age 54.1 +\/\u2212 18.7 years) were generated and 1317 radiomics features per patient were extracted. For subtype classification, we created four different binary differentiation tasks and addressed them with a Random Forest classifier using 10-fold cross-validation. To detect the most relevant features, permutation importance was analyzed. Classifier results using all features were: malignant lymphoma vs. non-lymphoma AUC = 0.86 (p &lt; 0.01); HL vs. NHL AUC = 0.75 (p &lt; 0.01); DLBCL vs. other NHL AUC = 0.65 (p &lt; 0.01); MCL vs. FL AUC = 0.67 (p &lt; 0.01). Classifying malignant lymphoma vs. non-lymphoma was also possible using only shape features AUC = 0.77 (p &lt; 0.01), with the most important feature being sphericity. Based on only shape features, a significant AUC could be achieved for all tasks, however, best results were achieved combining shape and textural features. This study demonstrates the value of splenic imaging and radiomic analysis in the diagnostic process in malignant lymphoma detection and subtype classification.<\/jats:p>","DOI":"10.3390\/cancers14030713","type":"journal-article","created":{"date-parts":[[2022,1,29]],"date-time":"2022-01-29T23:02:06Z","timestamp":1643497326000},"page":"713","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation"],"prefix":"10.3390","volume":"14","author":[{"given":"Johanna S.","family":"Enke","sequence":"first","affiliation":[{"name":"Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan H.","family":"Moltz","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Digital Medicine MEVIS, 28359 Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4778-5939","authenticated-orcid":false,"given":"Melvin","family":"D'Anastasi","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany"},{"name":"Medical Imaging Department, Mater Dei Hospital, 2090 MSD Msida, Malta"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5021-1952","authenticated-orcid":false,"given":"Wolfgang G.","family":"Kunz","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Schmidt","sequence":"additional","affiliation":[{"name":"Department of Medicine III, University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Maurus","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"M\u00fchlberg","sequence":"additional","affiliation":[{"name":"CT R&D Image Analytics, Siemens Healthineers, 91301 Forchheim, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1958-1549","authenticated-orcid":false,"given":"Alexander","family":"Katzmann","sequence":"additional","affiliation":[{"name":"CT R&D Image Analytics, Siemens Healthineers, 91301 Forchheim, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"S\u00fchling","sequence":"additional","affiliation":[{"name":"CT R&D Image Analytics, Siemens Healthineers, 91301 Forchheim, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Horst","family":"Hahn","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Digital Medicine MEVIS, 28359 Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7726-9006","authenticated-orcid":false,"given":"Dominik","family":"N\u00f6renberg","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany"},{"name":"Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, 68167 Mannheim, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Huber","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany"},{"name":"Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, 68167 Mannheim, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1148\/radiographics.21.1.g01ja02161","article-title":"Extranodal Hodgkin Disease: Spectrum of Disease","volume":"21","author":"Guermazi","year":"2001","journal-title":"Radiographics"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"745","DOI":"10.2214\/AJR.08.1160","article-title":"CT and 18F-FDG PET for noninvasive detection of splenic involvement in patients with malignant lymphoma","volume":"192","author":"Baarslag","year":"2009","journal-title":"Am. 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