{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T07:41:05Z","timestamp":1775202065616,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T00:00:00Z","timestamp":1722211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T00:00:00Z","timestamp":1722211200000},"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":["Ann Nucl Med"],"published-print":{"date-parts":[[2024,11]]},"abstract":"Abstract<\/jats:title>\n \n Objectives<\/jats:title>\n \n This study aims to evaluate the value of the dynamic and static quantitative metabolic parameters derived from\n 18<\/jats:sup>\n F-fluorodeoxyglucose (FDG)\u2013positron emission tomography\/CT (PET\/CT) in the differential diagnosis of metastatic from non-metastatic lymph nodes (LNs) in lung cancer and to validate them based on the results of a previous study.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n One hundred and twenty-one patients with lung nodules or masses detected on chest CT scan underwent\n 18<\/jats:sup>\n F-FDG PET\/CT dynamic\u2009+\u2009static imaging with informed consent. A retrospective collection of 126 LNs in 37 patients with lung cancer was pathologically confirmed. Static image analysis parameters include LN-SUV\n max<\/jats:sub>\n and LN-SUV\n max<\/jats:sub>\n \/primary tumor SUV\n max<\/jats:sub>\n (LN-SUV\n max<\/jats:sub>\n \/PT-SUV\n max<\/jats:sub>\n ). Dynamic metabolic parameters including the net influx rate (\n K<\/jats:italic>\n i<\/jats:sub>\n ) and the surrogate of perfusion (\n K<\/jats:italic>\n 1<\/jats:sub>\n ) and of each LN were obtained by applying the irreversible two-tissue compartment model using in-house Matlab software.\n K<\/jats:italic>\n i<\/jats:sub>\n \/\n K<\/jats:italic>\n 1<\/jats:sub>\n was then calculated as a separate marker. Based on the pathological findings, we divided into a metastatic group and a non-metastatic group. The\n \u03c7<\/jats:italic>\n 2<\/jats:sup>\n test was used to evaluate the agreement of the individual and combined diagnosis of each metabolic parameter with the gold standard. The receiver-operating characteristic (ROC) analysis was performed for each parameter to determine the diagnostic efficacy in differentiating non-metastatic from metastatic LNs with high FDG-avid.\n P<\/jats:italic>\n \u2009<\u20090.05 was considered statistically significant.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Among the 126 FDG-avid LNs confirmed by pathology, 70 LNs were metastatic, and 56 LNs were non-metastatic. For ROC analysis, in separate assays, the dynamic metabolic parameter\n K<\/jats:italic>\n i<\/jats:sub>\n [sensitivity (SEN) of 84.30%, specificity (SPE) of 94.60%, accuracy of 88.89%, and AUC of 0.895] had a better diagnostic value than the static metabolic parameter SUV\n max<\/jats:sub>\n (SEN of 82.90%, SPE of 62.50%, accuracy of 74.60%, and AUC of 0.727) in differentiating between metastatic from non-metastatic LNs groups, respectively. In the combined diagnosis group, the combined SUV\n max<\/jats:sub>\n \u2009+\u2009\n K<\/jats:italic>\n i<\/jats:sub>\n diagnosis had a better diagnostic value in the differential diagnosis of metastatic from non-metastatic LNs, with SEN, SPE, accuracy, and AUC of 84.3%, 94.6%, 88.89%, and 0.907, respectively.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n \n When the cutoff value of\n K<\/jats:italic>\n i<\/jats:sub>\n was 0.022\u00a0ml\/g\/min, it had a high diagnostic value in the differential diagnosis between metastasis and non-metastasis in FDG-avid LNs of lung cancer, especially in improving the specificity. The combination of SUV\n max<\/jats:sub>\n and\n K<\/jats:italic>\n i<\/jats:sub>\n is expected to be a reliable metabolic parameter for N-staging of lung cancer.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1007\/s12149-024-01964-y","type":"journal-article","created":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T02:01:30Z","timestamp":1722304890000},"page":"904-912","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The value of net influx constant based on FDG PET\/CT dynamic imaging in the differential diagnosis of metastatic from non-metastatic lymph nodes in lung cancer"],"prefix":"10.1007","volume":"38","author":[{"given":"Xieraili","family":"Wumener","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yarong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihan","family":"Zang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoxing","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiuhui","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,29]]},"reference":[{"key":"1964_CR1","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.canlet.2019.10.009","volume":"468","author":"D Yang","year":"2020","unstructured":"Yang D, Liu Y, Bai C, Wang X, Powell CA. 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