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After subdivision of primary lesions in baseline acquisition and venous phase, 107 radiomic features of first and higher orders were extracted. Spearman\u2019s correlation matrix with Ward\u2019s hierarchical clustering was applied to confirm the absence of bias due to the database heterogeneity. Nonparametric tests were conducted to identify statistically significant features in the distinction between patient groups (Ki-67\u2009&lt;\u20093\u2014Group 1; 3\u2009\u2264\u2009Ki-67\u2009\u2264\u200920\u2014Group 2; and Ki-67\u2009&gt;\u200920\u2014Group 3, and presence of metastases).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>No bias arising from sample heterogeneity was found. Regarding Ki-67 groups statistical tests, seven statistically significant features (<jats:italic>p<\/jats:italic> value\u2009&lt;\u20090.05) were found in post-contrast enhanced CT; three in baseline acquisitions. In metastasis classes distinction, three features (first-order class) were statistically significant in post-contrast acquisitions and 15 features (second-order class) in baseline acquisitions, including the three features distinguishing between Ki-67 groups in baseline images (MCC, ClusterProminence and Strength).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Some radiomic features can be used as a valid and reproducible tool for predicting Ki-67 class and hence the subtype of lung NET in baseline and post-contrast enhanced CT images. In particular, in baseline examination three features can establish both tumour class and aggressiveness.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11547-023-01592-y","type":"journal-article","created":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T11:07:23Z","timestamp":1673608043000},"page":"203-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Reproducibility of CT radiomic features in lung neuroendocrine tumours (NETs) patients: analysis in a heterogeneous population"],"prefix":"10.1007","volume":"128","author":[{"given":"Eleonora","family":"Bicci","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7028-9047","authenticated-orcid":false,"given":"Diletta","family":"Cozzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edoardo","family":"Cavigli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ron","family":"Ruzga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Bertelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ginevra","family":"Danti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia","family":"Bettarini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Tortoli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lorenzo Nicola","family":"Mazzoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simone","family":"Busoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vittorio","family":"Miele","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,13]]},"reference":[{"key":"1592_CR1","first-page":"59","volume-title":"Pathology and genetics of tumours of the lung, pleura, thymus and heart","author":"MB Beasley","year":"2004","unstructured":"Beasley MB, Thunnissen FB, Hasleton PhS et al (2004) Carcinoid tumour. 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