{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T19:14:08Z","timestamp":1789758848682,"version":"4.0.1"},"reference-count":39,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Oncol."],"abstract":"\n Objective<\/jats:title>\n \n This study compares kinetic parameters (K\n 1<\/jats:sub>\n , k\n 2<\/jats:sub>\n , k\n 3<\/jats:sub>\n , K\n i<\/jats:sub>\n ) from dynamic chest PET\/CT for lung lesions across different framing protocols, reconstruction algorithms, and software processing, aiming to evaluate quantification consistency and support multi-center standardization.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n This study enrolled 107 patients with 124 lung lesions who underwent 65-min dynamic\n 18<\/jats:sup>\n F-FDG PET\/CT. Dynamic data were compared across three factors: framing protocols (28 frames vs. 39 frames), reconstruction algorithms (the Block Sequential Regularized Expectation Maximization [BSREM] group vs. the third-order Hermite interpolation [Pitch-In] group), and software platforms (the Matlab group vs. the PMOD group). Kinetic parameters were derived based on an irreversible two-tissue compartment model. Subjective image quality was graded by two experts using a 5-point Likert scale.We performed Wilcoxon signed-rank tests with Bonferroni correction, intraclass correlation coefficients (ICCs), Bland\u2013Altman analysis, and\n post-hoc<\/jats:italic>\n power analysis (n=125) to evaluate statistical significance, consistency, and agreement.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The Pitch-In group achieved scores &gt;3 points and demonstrated significantly superior subjective image quality over the BSREM group (\n P<\/jats:italic>\n \u00a0&lt;\u00a00.05), except for comparable lesion discrimination. For kinetic parameter quantification, no statistically significant systematic differences were observed between the Pitch-In group and the BSREM group for K\n 1<\/jats:sub>\n , k\n 3<\/jats:sub>\n , and K\n i<\/jats:sub>\n (\n P<\/jats:italic>\n &gt; 0.05; ICCs: 0.795\u20130.955), though Pitch-In yielded higher k\n 2<\/jats:sub>\n values (\n P<\/jats:italic>\n \u00a0=\u00a00.003). No significant differences were detected between the Matlab group and the PMOD group for K\n 1<\/jats:sub>\n and K\n i<\/jats:sub>\n (\n P<\/jats:italic>\n &gt; 0.05), achieving high absolute agreement (ICCs: 0.854 and 0.978; K\n i<\/jats:sub>\n bias: 0.000). Between 28 frames and 39 frames protocols, no significant differences were found for all parameters (\n P<\/jats:italic>\n &gt; 0.05; ICCs: 0.885\u20130.957), with a minimal K\n i<\/jats:sub>\n bias of 0.001 (95% LoA: -0.010 to 0.011).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n \n The primary quantitative endpoint, the K\n i<\/jats:sub>\n value, remains highly robust across all evaluated framing protocols, software platforms, and reconstruction algorithms. This strong methodological equivalence facilitates cross-center data harmonization and clinical standardization for multi-center dynamic\n 18<\/jats:sup>\n F-FDG PET\/CT.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fonc.2026.1754075","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T18:53:12Z","timestamp":1789757592000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Differences in the quantitative parameter of lung lesions in dynamic chest FDG PET\/CT imaging: framing protocol, reconstruction algorithm, software processing"],"prefix":"10.3389","volume":"16","author":[{"given":"Yarong","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine, National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Shenzhen, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xieraili","family":"Wumener","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Shenzhen, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maoqun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Shenzhen, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiuhui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Shenzhen, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Shenzhen, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College","place":["Shenzhen, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,18]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-1237(09)80099-3","article-title":"Clinical applications of PET and PET-CT","volume":"65","author":"Anand","year":"2009","journal-title":"Med J Armed Forces India"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.2217\/fon.15.28","article-title":"PET-based molecular imaging in personalized oncology: potential of the assessment of therapeutic outcome","volume":"11","author":"Dimitrakopoulou-Strauss","year":"2015","journal-title":"Future Oncol"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-014-2961-x","article-title":"FDG PET\/CT: EANM procedure guidelines for tumour imaging: version 2.0","volume":"42","author":"Boellaard","year":"2015","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"B4","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1016\/S0969-8051(00)00155-4","article-title":"Anatomy of SUV. 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