{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:20:12Z","timestamp":1777044012985,"version":"3.51.4"},"reference-count":24,"publisher":"Radiological Society of North America (RSNA)","issue":"3","funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFF1204600"],"award-info":[{"award-number":["2023YFF1204600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Medical Scientific Research Foundation of Guangdong Province, China","award":["B2025305"],"award-info":[{"award-number":["B2025305"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82402262"],"award-info":[{"award-number":["82402262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["21624304"],"award-info":[{"award-number":["21624304"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Science and Technology Program","award":["2025A04J3480"],"award-info":[{"award-number":["2025A04J3480"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Radiology: Imaging Cancer"],"published-print":{"date-parts":[[2026,5,1]]},"abstract":"<jats:p>A deep learning model integrating tumor and visceral adipose tissue features on CT images with clinical indicators showed strong performance in predicting postoperative peritoneal metastasis in patients with serosa-invasive gastric cancer.<\/jats:p>","DOI":"10.1148\/rycan.250353","type":"journal-article","created":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T13:52:31Z","timestamp":1777038751000},"source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT                     Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in                     Serosa-Invasive Gastric Cancer"],"prefix":"10.1148","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5446-5554","authenticated-orcid":false,"given":"Yueyue","family":"Li","sequence":"first","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital of                     Jinan University, No. 613 Huangpu Avenue West, Tianhe District, Guangzhou                     510632, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ximiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Jiangmen Key Laboratory of Artificial Intelligence in                     Medical Image Computation and Application, Jiangmen Central Hospital, Jiangmen,                     People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiuying","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital of                     Jinan University, No. 613 Huangpu Avenue West, Tianhe District, Guangzhou                     510632, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Hepatobiliary and Intestinal Surgery, Hunan                     Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine,                     Central South University, Changsha, Hunan, People\u2019s Republic of                     China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7989-3347","authenticated-orcid":false,"given":"Yilong","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, The First Affiliated                     Hospital of Kunming Medical University, Kunming, People\u2019s Republic of                     China"},{"name":"Department of Radiology, Guangdong Provincial                     People\u2019s Hospital (Guangdong Academy of Medical Sciences), Southern                     Medical University, Guangzhou, People\u2019s Republic of China"},{"name":"Guangdong Provincial Key Laboratory of Artificial                     Intelligence in Medical Image Analysis and Application, Guangzhou,                     People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liebin","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Jiangmen Central Hospital,                     Jiangmen, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lian","family":"Jian","sequence":"additional","affiliation":[{"name":"Department of Radiology, Hunan Cancer Hospital, The                     Affiliated Cancer Hospital of Xiangya School of Medicine, Central South                     University, Changsha, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1331-1858","authenticated-orcid":false,"given":"Wansheng","family":"Long","sequence":"additional","affiliation":[{"name":"Jiangmen Key Laboratory of Artificial Intelligence in                     Medical Image Computation and Application, Jiangmen Central Hospital, Jiangmen,                     People\u2019s Republic of China"},{"name":"Department of Radiology, Jiangmen Central Hospital,                     Jiangmen, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5180-0786","authenticated-orcid":false,"given":"Bao","family":"Feng","sequence":"additional","affiliation":[{"name":"Jiangmen Key Laboratory of Artificial Intelligence in                     Medical Image Computation and Application, Jiangmen Central Hospital, Jiangmen,                     People\u2019s Republic of China"},{"name":"Laboratory of Intelligent Detection and Information                     Processing, Guilin University of Aerospace Technology, Guilin, People\u2019s                     Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7377-382X","authenticated-orcid":false,"given":"Shuixing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital of                     Jinan University, No. 613 Huangpu Avenue West, Tianhe District, Guangzhou                     510632, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1577","reference":[{"key":"r1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"r2","doi-asserted-by":"publisher","DOI":"10.1245\/s10434-017-5838-y"},{"key":"r3","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-20429-0"},{"key":"r4","doi-asserted-by":"publisher","DOI":"10.1002\/cac2.12516"},{"key":"r5","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.28373"},{"key":"r6","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)30354-3"},{"issue":"8","key":"r7","first-page":"717","volume":"26","author":"Gastric Cancer Committee of China Anti Cancer Association","year":"2023","journal-title":"Zhonghua Wei Chang Wai Ke Za Zhi"},{"key":"r8","doi-asserted-by":"publisher","DOI":"10.1245\/s10434-011-1631-5"},{"key":"r9","doi-asserted-by":"publisher","DOI":"10.3109\/02656736.2013.768359"},{"key":"r10","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2004.10.012"},{"key":"r11","doi-asserted-by":"publisher","DOI":"10.1097\/01.sla.0000143245.28656.15"},{"issue":"6","key":"r12","first-page":"6991","volume":"14","author":"Sun F","year":"2017","journal-title":"Oncol Lett"},{"key":"r13","doi-asserted-by":"publisher","DOI":"10.3390\/jcm11020458"},{"issue":"1","key":"r14","first-page":"e1647","volume":"6","author":"Hamabe-Horiike T","year":"2023","journal-title":"Cancer Rep (Hoboken)"},{"key":"r15","doi-asserted-by":"publisher","DOI":"10.2147\/CMAR.S257849"},{"key":"r16","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10051079"},{"key":"r17","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.115.002545"},{"key":"r18","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-022-08918-w"},{"key":"r19","doi-asserted-by":"publisher","DOI":"10.1097\/SLA.0000000000003778"},{"key":"r20","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.32269"},{"key":"r21","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdz001"},{"key":"r22","doi-asserted-by":"publisher","DOI":"10.1007\/s10120-019-01001-2"},{"key":"r23","doi-asserted-by":"publisher","DOI":"10.1038\/s41416-020-0898-3"},{"key":"r24","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v29.i15.2310"}],"container-title":["Radiology: Imaging Cancer"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/pubs.rsna.org\/doi\/pdf\/10.1148\/rycan.250353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T13:52:34Z","timestamp":1777038754000},"score":1,"resource":{"primary":{"URL":"http:\/\/pubs.rsna.org\/doi\/10.1148\/rycan.250353"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,1]]},"references-count":24,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,5,1]]}},"alternative-id":["10.1148\/rycan.250353"],"URL":"https:\/\/doi.org\/10.1148\/rycan.250353","relation":{},"ISSN":["2638-616X"],"issn-type":[{"value":"2638-616X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,1]]},"article-number":"e250353"}}