{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T18:18:01Z","timestamp":1793384281281,"version":"4.5.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T00:00:00Z","timestamp":1773014400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T00:00:00Z","timestamp":1773014400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Phys Eng Sci Med"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>\n                      High Stability of radiomic features is critical for developing reliable imaging biomarkers that can support risk stratification, treatment response assessment, and personalized therapy in lymphoma patients. To evaluate how partial volume correction (PVC) affects the Stability of\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET radiomic features in lymphoma lesions, with respect to lesion volume and tissue type.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This single-center retrospective study included 131 newly diagnosed lymphoma patients (2014\u20132024) who underwent baseline\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET\/CT. In total, 1,603 lesions (1,302 lymph nodes, 117 spleen\/liver, 150 bone, and 34 bone and soft-tissue) were semi-automatically segmented and grouped by volume (&lt;\u20093, 3\u201310, 10\u201330, &gt;\u200930 mL) and tissue type. Ninety-three radiomic features were extracted from non-PVC and PVC images processed with the Richardson\u2013Lucy (RL) and Reblurred Van Cittert (RVC) algorithms after isotropic resampling (3\u00a0mm) and discretization (0.25 SUV bin size), following IBSI guidelines. Stability was quantified using the coefficient of variation (CoV) and the intraclass correlation coefficient (ICC\n                      <jats:sub>2<\/jats:sub>\n                      , absolute agreement), with statistical comparisons performed via Mann\u2013Whitney U tests and false discovery rate (FDR) correction.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      PVC significantly improved feature Stability, particularly for large lesions (&gt;\u200930 mL), with median ICC\n                      <jats:sub>2<\/jats:sub>\n                      &gt; 0.90 across most feature categories (e.g., First-Order\u2009=\u20090.99, GLSZM\u2009=\u20090.97, NGTDM\u2009=\u20090.97). Small lesions (&lt;\u20093 mL) showed lower stability (ICC\n                      <jats:sub>2<\/jats:sub>\n                      = 0.84\u20130.94) and higher CoV (0.09\u20130.21), mainly in texture-based features. First-Order and GLCM features were the most robust overall (ICC\n                      <jats:sub>2<\/jats:sub>\n                      = 0.92\u20130.99; CoV\u2009=\u20090.07\u20130.11). Bone and spleen lesions exhibited the highest Stability (median ICC\n                      <jats:sub>2<\/jats:sub>\n                      \u2248 0.95), whereas lymph node and liver features were more variable. All volume- and tissue-dependent differences remained significant after FDR correction (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>PVC using RL and RVC markedly enhances FDG-PET radiomic Stability in lymphoma, particularly for larger and structurally uniform lesions. Robust features such as First-Order and GLCM can support standardized radiomics workflows and the development of reliable biomarkers for prognosis and personalized therapy. Additionally, PVC reduces variability in texture features, especially in small or heterogeneous lesions. Multicenter validation would further strengthen generalizability beyond this single-center setting.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s13246-026-01717-3","type":"journal-article","created":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T13:58:37Z","timestamp":1773064717000},"page":"1025-1040","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Evaluating the impact of partial volume correction on FDG PET radiomics stability in lymphoma lesions"],"prefix":"10.1007","volume":"49","author":[{"given":"Setareh","family":"Hasanabadi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Saber","family":"Azimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehrdad","family":"Bakhshayesh Karam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hossein","family":"Arabi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,9]]},"reference":[{"key":"1717_CR1","doi-asserted-by":"publisher","unstructured":"Cheson BD et al (2014) Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. 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Because this was a non-interventional imaging analysis using anonymized data, the requirement for informed consent was waived.","order":2,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Declarations"}}]}}