{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T06:46:19Z","timestamp":1776062779233,"version":"3.50.1"},"reference-count":28,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"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. Pharmacol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>We aimed to develop an interpretable radiomics\u2013clinical model to predict overall survival (OS) in unresectable pancreatic cancer (PC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this retrospective cohort, 202 patients with unresectable PC were enrolled. A total of 1,130 radiomics features were extracted from a region of interest encompassing the largest primary lesion using 3D-Slicer. Least absolute shrinkage and selection operator (LASSO)-selected features associated with OS were used to construct a radiomics risk score (RS). Independent clinical predictors were identified through stepwise Cox regression. A nomogram integrating RS with independent clinical predictors was built.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Median OS (mOS) for the entire cohort was 20.3\u00a0months. From 1,130 baseline CT radiomics features, LASSO retained 12 prognostic descriptors, which were linearly combined to compute a radiomics RS. Stepwise Cox regression identified age, sex, and CA19-9 as independent clinical predictors. A nomogram integrating RS with these variables was constructed in the training set. In the validation set, the area under the receiver operating characteristic curve (AUC) reached 0.804, 0.812, and 0.794 for 1-, 2-, and 3-year OS, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>An interpretable radiomics\u2013clinical nomogram provided accurate survival prediction in unresectable pancreatic cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fphar.2026.1750762","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:48:00Z","timestamp":1776059280000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine-learning CT radiomics for prognostication in unresectable pancreatic cancer"],"prefix":"10.3389","volume":"17","author":[{"given":"Wenqi","family":"He","sequence":"first","affiliation":[{"name":"Department of Radiology, Zigong Fourth People\u2019s Hospital","place":["Zigong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Oncology, Zigong First People\u2019s Hospital","place":["Zigong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Oncology, Affiliated Santai Hospital of North Sichuan Medical College","place":["Mianyang, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruoxue","family":"Yang","sequence":"additional","affiliation":[{"name":"The First Clinical College, Chongqing Medical University","place":["Chongqing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Yu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center","place":["Guangzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zigong Fourth People\u2019s Hospital","place":["Zigong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youqiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zigong Fourth People\u2019s Hospital","place":["Zigong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zigong Fourth People\u2019s Hospital","place":["Zigong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Radiology, Zigong Fourth People\u2019s Hospital","place":["Zigong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"5510","DOI":"10.3390\/cancers13215510","article-title":"Advances in pancreatic ductal adenocarcinoma treatment","volume":"13","author":"Anderson","year":"2021","journal-title":"Cancers (Basel)"},{"key":"B2","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.radonc.2014.11.043","article-title":"Comparison of toxicity after IMRT and 3D-conformal radiotherapy for patients with pancreatic cancer - a systematic review","volume":"114","author":"Bittner","year":"2015","journal-title":"Radiother. 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