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Radiomics features were extracted from each CT or PET slicer, and features selection was performed with least absolute shrinkage and selection operator regression and radiomics score was also generated. The clinical-radiomics nomogram was established by integrating radiomics score and clinical predictors, and the performance of the models were evaluated from its discrimination ability, calibration ability, and clinical usefulness.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The radiomics score consisted of 45 selected features, and age, the ratio of maximum to minimum tumor diameter, and <jats:inline-formula><jats:alternatives><jats:tex-math>$$^{18}$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                    <mml:msup>\n                      <mml:mrow\/>\n                      <mml:mn>18<\/mml:mn>\n                    <\/mml:msup>\n                  <\/mml:math><\/jats:alternatives><\/jats:inline-formula>F-FDG uptake status were independent predictors of microvascular invasion. The clinical-radiomics nomogram showed better performance for MVI detection (0.890 [0.854, 0.927]) than the clinical nomogram (0.849 [0.804, 0.893]) (<jats:inline-formula><jats:alternatives><jats:tex-math>$$p&lt;0.05$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                    <mml:mrow>\n                      <mml:mi>p<\/mml:mi>\n                      <mml:mo>&lt;<\/mml:mo>\n                      <mml:mn>0.05<\/mml:mn>\n                    <\/mml:mrow>\n                  <\/mml:math><\/jats:alternatives><\/jats:inline-formula>). Both nomograms showed good calibration and the clinical-radiomics nomogram\u2019s clinical practicability outperformed the clinical nomogram.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>With the combination of radiomics score and clinical predictors, the clinical-radiomics nomogram can significantly improve the predictive efficacy of microvascular invasion in hepatocellular carcinoma (<jats:inline-formula><jats:alternatives><jats:tex-math>$$p&lt;0.05$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                    <mml:mrow>\n                      <mml:mi>p<\/mml:mi>\n                      <mml:mo>&lt;<\/mml:mo>\n                      <mml:mn>0.05<\/mml:mn>\n                    <\/mml:mrow>\n                  <\/mml:math><\/jats:alternatives><\/jats:inline-formula>) compared with clinical nomogram.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-022-00796-4","type":"journal-article","created":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T18:04:08Z","timestamp":1650045848000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using $$^{18}$$F-FDG PET\/CT"],"prefix":"10.1186","volume":"22","author":[{"given":"Yutao","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuying","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gehui","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Randi","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongfei","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,15]]},"reference":[{"issue":"2","key":"796_CR1","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.cld.2009.02.007","volume":"13","author":"JA Marrero","year":"2009","unstructured":"Marrero JA, Welling T. 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Written informed consent was obtained from all participants.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"70"}}