{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T17:35:55Z","timestamp":1762364155747,"version":"build-2065373602"},"reference-count":37,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100003009","name":"Science and Technology Development Fund","doi-asserted-by":"publisher","award":["2022YJY-15"],"award-info":[{"award-number":["2022YJY-15"]}],"id":[{"id":"10.13039\/501100003009","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971615"],"award-info":[{"award-number":["81971615"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.acra.2025.05.009","type":"journal-article","created":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T09:47:24Z","timestamp":1748857644000},"page":"5254-5266","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["CT Radiomics for Predicting Outcomes in HER2-Positive Surgically Resectable Advanced Gastric Cancer: A Preliminary Study"],"prefix":"10.1016","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1328-3527","authenticated-orcid":false,"given":"Huiping","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianbo","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinrong","family":"Qu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liming","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pan","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.acra.2025.05.009_bib1","first-page":"209","article-title":"Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J Clin"},{"key":"10.1016\/j.acra.2025.05.009_bib2","unstructured":"National Comprehensive Cancer Network. National Comprehensive Cancer Network (NCCN) clinical practice guidelines in oncology: gastric cancer (Version 1. 2024). NCCN Bethesda: Available via: \u3008http:\/\/www.nccn.org\/\u3009 Accessed at 10 Mar 2024."},{"key":"10.1016\/j.acra.2025.05.009_bib3","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1002\/cac2.12516","article-title":"The Chinese Society of Clinical Oncology (CSCO): clinical guidelines for the diagnosis and treatment of gastric cancer, 2023","volume":"44","author":"Wang","year":"2023","journal-title":"Cancer Commun"},{"key":"10.1016\/j.acra.2025.05.009_bib4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10120-022-01331-8","article-title":"Japanese gastric cancer treatment guidelines 2021 (6th edition)","volume":"26","author":"Japanese Gastric Cancer, Association","year":"2023","journal-title":"Gastric Cancer"},{"issue":"10","key":"10.1016\/j.acra.2025.05.009_bib5","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.annonc.2022.07.004","article-title":"Gastric cancer: ESMO clinical practice guideline for diagnosis, treatment and follow-up","volume":"33","author":"Lordick","year":"2022","journal-title":"Ann Oncol"},{"issue":"7","key":"10.1016\/j.acra.2025.05.009_bib6","doi-asserted-by":"crossref","DOI":"10.1001\/jamasurg.2017.1087","article-title":"Association of adjuvant chemotherapy with survival in patients with stage II or III gastric cancer","volume":"152","author":"Jiang","year":"2017","journal-title":"JAMA Surg"},{"issue":"2","key":"10.1016\/j.acra.2025.05.009_bib7","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: images are more than pictures, they are data","volume":"278","author":"Gillies","year":"2016","journal-title":"Radiology"},{"issue":"12","key":"10.1016\/j.acra.2025.05.009_bib8","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","article-title":"Radiomics: the bridge between medical imaging and personalized medicine","volume":"14","author":"Lambin","year":"2017","journal-title":"Nat Rev Clin Oncol"},{"key":"10.1016\/j.acra.2025.05.009_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2023.110719","article-title":"Development and external validation of a non-invasive imaging biomarker to estimate the microsatellite instability status of gastric cancer and its prognostic value: the combination of clinical and quantitative CT-imaging features","volume":"162","author":"Zhao","year":"2023","journal-title":"Eur J Radiol"},{"issue":"4","key":"10.1016\/j.acra.2025.05.009_bib10","doi-asserted-by":"crossref","first-page":"2324","DOI":"10.1007\/s00330-019-06621-x","article-title":"Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer","volume":"30","author":"Li","year":"2020","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.acra.2025.05.009_bib11","doi-asserted-by":"crossref","first-page":"1280","DOI":"10.1007\/s00330-023-10108-1","article-title":"Radiomics using CT images for preoperative prediction of lymph node metastasis in perihilar cholangiocarcinoma: a multi-centric study","volume":"34","author":"Zhan","year":"2024","journal-title":"Eur Radiol"},{"key":"10.1016\/j.acra.2025.05.009_bib12","doi-asserted-by":"crossref","DOI":"10.1016\/j.currproblcancer.2024.101098","article-title":"A combined model using pre-treatment CT radiomics and clinicopathological features of non-small cell lung cancer to predict major pathological responses after neoadjuvant chemoimmunotherapy","volume":"50","author":"Wang","year":"2024","journal-title":"Curr Probl Cancer"},{"issue":"4","key":"10.1016\/j.acra.2025.05.009_bib13","doi-asserted-by":"crossref","DOI":"10.2214\/AJR.23.30603","article-title":"Development and validation of MRI radiomics models to differentiate HER2-zero, -low, and -positive breast cancer","volume":"222","author":"Peng","year":"2024","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib14","doi-asserted-by":"crossref","first-page":"21","DOI":"10.4103\/sjg.sjg_253_22","article-title":"Radiomics signature for prediction of long-term survival and recurrence patterns in patients with gastric cancer after radical gastrectomy: a\u00a0multicenter study","volume":"29","author":"Huang","year":"2023","journal-title":"Saudi J Gastroenterol"},{"issue":"4","key":"10.1016\/j.acra.2025.05.009_bib15","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1002\/jmri.28621","article-title":"Risk stratification and overall survival prediction in advanced gastric cancer patients based on whole-volume MRI radiomics","volume":"58","author":"Chen","year":"2023","journal-title":"J Magn Reson Imaging"},{"issue":"5","key":"10.1016\/j.acra.2025.05.009_bib16","doi-asserted-by":"crossref","first-page":"2048","DOI":"10.21037\/jgo-23-627","article-title":"Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study","volume":"14","author":"Xiang","year":"2023","journal-title":"J Gastrointest Oncol"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib17","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s40644-020-00302-5","article-title":"Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study","volume":"20","author":"Chen","year":"2020","journal-title":"Cancer Imaging"},{"issue":"5","key":"10.1016\/j.acra.2025.05.009_bib18","doi-asserted-by":"crossref","first-page":"441","DOI":"10.5152\/dir.2022.211034","article-title":"Radiomics signature for predicting postoperative disease-free survival of patients with gastric cancer: development and validation of a predictive nomogram","volume":"28","author":"Shi","year":"2022","journal-title":"Diagn Interv Radiol"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib19","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1038\/s41598-021-81408-z","article-title":"A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting","volume":"11","author":"Shin","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.acra.2025.05.009_bib20","article-title":"Radiomics-based assessment of HER2 status and prognosis in gastric cancer: a retrospective dual-center CT study","author":"Li","year":"2025","journal-title":"Abdom Radiol"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib21","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1186\/s12876-025-03728-y","article-title":"Dual-phase contrast-enhanced CT-based intratumoral and peritumoral radiomics for preoperative prediction of lymph node metastasis in gastric cancer","volume":"25","author":"Zhou","year":"2025","journal-title":"BMC Gastroenterol"},{"key":"10.1016\/j.acra.2025.05.009_bib22","article-title":"CT radiomics-based intratumoral and intertumoral heterogeneity indicators for prognosis prediction in gastric cancer patients receiving neoadjuvant chemotherapy","author":"Li","year":"2025","journal-title":"Eur Radiol"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib23","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1097\/PAI.0b013e31821c821c","article-title":"HER2 expression in gastric and gastroesophageal junction adenocarcinoma in a US population: clinicopathologic analysis with proposed approach to HER2 assessment","volume":"20","author":"Kunz","year":"2012","journal-title":"Appl Immunohistochem Mol Morphol"},{"issue":"10","key":"10.1016\/j.acra.2025.05.009_bib24","doi-asserted-by":"crossref","first-page":"2656","DOI":"10.1093\/annonc\/mds104","article-title":"Prognosis of metastatic gastric and gastroesophageal junction cancer by HER2 status: a European and USA International collaborative analysis","volume":"23","author":"Janjigian","year":"2012","journal-title":"Ann Oncol"},{"issue":"12","key":"10.1016\/j.acra.2025.05.009_bib25","doi-asserted-by":"crossref","first-page":"2845","DOI":"10.1002\/ijc.26292","article-title":"Clinicopathologic factors associated with HER2-positive gastric cancer and its impact on survival outcomes--a systematic review","volume":"130","author":"Chua","year":"2012","journal-title":"Int J Cancer"},{"issue":"24","key":"10.1016\/j.acra.2025.05.009_bib26","doi-asserted-by":"crossref","first-page":"6248","DOI":"10.1158\/1078-0432.CCR-18-1128","article-title":"Analysis of circulating tumor DNA and clinical correlates in patients with esophageal, gastroesophageal junction, and gastric adenocarcinoma","volume":"24","author":"Kato","year":"2018","journal-title":"Clin Cancer Res."},{"key":"10.1016\/j.acra.2025.05.009_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.prp.2020.153280","article-title":"Relationship between HER2 expression and tumor interstitial angiogenesis in primary gastric cancer and its effect on prognosis","volume":"217","author":"Li","year":"2021","journal-title":"Pathol Res Pract"},{"issue":"9742","key":"10.1016\/j.acra.2025.05.009_bib28","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1016\/S0140-6736(10)61121-X","article-title":"Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial","volume":"376","author":"Bang","year":"2010","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib29","doi-asserted-by":"crossref","first-page":"W1","DOI":"10.7326\/M14-0698","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration","volume":"162","author":"Moons","year":"2015","journal-title":"Ann Intern Med"},{"key":"10.1016\/j.acra.2025.05.009_bib30","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1148\/rg.314105159","article-title":"Dual-energy (spectral) CT: applications in abdominal imaging","volume":"31","author":"Silva","year":"2011","journal-title":"Radiographics"},{"key":"10.1016\/j.acra.2025.05.009_bib31","doi-asserted-by":"crossref","first-page":"124","DOI":"10.2214\/AJR.20.23534","article-title":"TCGA-TCIA-based CT radiomics study for noninvasively predicting Epstein-Barr virus status in gastric cancer","volume":"217","author":"Zhao","year":"2021","journal-title":"AJR Am J Roentgenol"},{"issue":"4","key":"10.1016\/j.acra.2025.05.009_bib32","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1080\/10256016.2024.2396302","article-title":"Deep learning insights into spatial patterns of stable isotopes in Iran's precipitation: a novel approach to climatological mapping","volume":"60","author":"Heydarizad","year":"2024","journal-title":"Isotopes Environ Health Stud"},{"key":"10.1016\/j.acra.2025.05.009_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2024.111543","article-title":"Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia","volume":"177","author":"Shi","year":"2024","journal-title":"Eur J Radiol"},{"issue":"1","key":"10.1016\/j.acra.2025.05.009_bib34","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.acra.2024.08.004","article-title":"Value of dynamic contrast-enhanced MRI for grade group prediction in prostate cancer: a radiomics pilot study","volume":"32","author":"Mirshahvalad","year":"2025","journal-title":"Acad Radiol"},{"issue":"5","key":"10.1016\/j.acra.2025.05.009_bib35","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1097\/EDE.0b013e3182576cdb","article-title":"Missing data: a systematic review of how they are reported and handled","volume":"23","author":"Eekhout","year":"2012","journal-title":"Epidemiology"},{"key":"10.1016\/j.acra.2025.05.009_bib36","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.gene.2019.02.058","article-title":"A five-miRNA signature predicts survival in gastric cancer using bioinformatics analysis","volume":"699","author":"Zhang","year":"2019","journal-title":"Gene"},{"issue":"10","key":"10.1016\/j.acra.2025.05.009_bib37","doi-asserted-by":"crossref","first-page":"2470","DOI":"10.1007\/s11605-021-04944-z","article-title":"Prognostic value of combination of inflammatory and tumor markers in resectable gastric cancer","volume":"25","author":"Guo","year":"2021","journal-title":"J Gastrointest Surg"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633225004374?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633225004374?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T17:30:58Z","timestamp":1762363858000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633225004374"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":37,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["S1076633225004374"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2025.05.009","relation":{},"ISSN":["1076-6332"],"issn-type":[{"type":"print","value":"1076-6332"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CT Radiomics for Predicting Outcomes in HER2-Positive Surgically Resectable Advanced Gastric Cancer: A Preliminary Study","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2025.05.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Association of Academic Radiology. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}