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This retrospective study develops a noninvasive radiomics framework using [18F] FDG PET/CT to predict vascular endothelial growth factor (VEGF) status and survival. Patients are partitioned into training, validation, and test sets, with radiomic features extracted and an ARadiomics Score calculated. The model shows strong VEGF prediction performance and identifies the radiomics score as an independent prognostic factor associated with worse survival at higher values.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/noninvasive-assessment-of-vascular-endothelial-growth-factor-and-prognosis-in-gastric-cancer-through-radiomic-features/370374/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/noninvasive-assessment-of-vascular-endothelial-growth-factor-and-prognosis-in-gastric-cancer-through-radiomic-features/370374.png","ImageObject",300,407,{"name":92,"@type":93},"River Wang","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",14,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What noninvasive method does the study use to evaluate VEGF status in gastric cancer?","Question",{"text":113,"@type":114},"The study uses [18F] FDG PET/CT and extracts radiomic features to build a predictor of vascular endothelial growth factor (VEGF) status.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How is the radiomics score (RS) used in the analysis?",{"text":118,"@type":114},"An ARadiomics Score (RS) is calculated from extracted radiomic features and serves as a predictor for VEGF status and survival outcomes.",{"name":120,"@type":111,"acceptedAnswer":121},"What do the results suggest about prognosis in relation to RS values?",{"text":122,"@type":114},"Higher RS values are associated with poorer survival, and RS is reported as an independent prognostic factor for survival.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},370374,1790246387,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":146},1099514067438,"https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542","ARTICLE 1  \n\n| INTRODUCTION: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with delayed diagnosis often limiting effective treatment options. This study introduces a novel, noninvasive radiomics-based approach using [18F] FDG PET/CT (fluorodeoxyglucose positron emission tomography/computed tomography) to predict vascular endothelial growth factor (VEGF) status and survival in patients with GC. The ability to noninvasively assess these parameters can significantly influence therapeutic decisions and outcomes.\u003Cbr>METHODS: We conducted a retrospective study involving patients diagnosed with GC, stratified into training, validation, and test groups. Each patient underwent a [18F] FDG PET/CT scan, and radiomic features were extracted using dedicated software. ARadiomics Score (RS)was calculated, serving as a predictor for VEGF status. Statistical analyses included logistic regression and Cox proportional hazards models to evaluate the predictive power of RS on survival outcomes.\u003Cbr>RESULTS: The developed radiomics model demonstrated high predictive accuracy, with the RS formula achieving\u003Cbr>an area under the receiver operating characteristic curve of 0.861 in the training cohort and 0.857 in the validation cohort for predicting VEGF status. The model also identified RS as an independent prognostic factor for survival, where higher RS values correlated with poorer survival rates.\u003Cbr>DISCUSSION: The findings underscore the potential of[18F]FDG PET/CT radiomicsin transforming the management of GC by providing a noninvasive means to assess tumor aggressiveness and prognosis through VEGF status. This model could facilitate earlier and more tailored therapeutic interventions, potentially improving survival outcomes in a disease marked by typically late diagnosis and limited treatment success.\u003Cbr>KEYWORDS: gastric cancer; VEGF; radiomics; noninvasive prediction; survival prognosis; [18F] FDG PET/CT\u003Cbr>SUPPLEMENTARY MATERIAL accompanies this paper at [http://links.lww.com/CTG/B237](http://links.lww.com/CTG/B237) ; [http://links.lww.com/CTG/B238](http://links.lww.com/CTG/B238) ; [http://links.lww.com/CTG/B239](http://links.lww.com/CTG/B239) ; [http://](http://)\u003Cbr>[links.lww.com/CTG/B240](links.lww.com/CTG/B240); [http://links.lww.com/CTG/B241](http://links.lww.com/CTG/B241) ; [http://links.lww.com/CTG/B242](http://links.lww.com/CTG/B242); [http://links.lww.com/CTG/B243](http://links.lww.com/CTG/B243) |  |\n| --- | --- |\n| Clinical and Translational Gastroenterology 2025;16:e00802. [https://doi.org/10.14309/ctg.0000000000000802](https://doi.org/10.14309/ctg.0000000000000802) |  |\n| INTRODUCTION\u003Cbr>Gastric cancer (GC) ranks as the fifth most common cancer globally and is the fourth leading cause of cancer-related deaths | (1) . Although surgical resection remains the primary curative method for patients with early-stage GC, the lack of early symptoms, particularly in China, often leads to late-stage |\n\nNoninvasive Assessment of Vascular Endothelial Growth Factor and Prognosis in Gastric Cancer Through Radiomic Features  \nHao Feng, MD1 , *, Kangneng Zhou, MD2 , *, Qingyu Yuan, MD3 , *, Zhiwei Liu, MD4, Taojun Zhang, MMed1, Hao Chen, MD1 , Benjamin Xu, MD5, Zepang Sun, MD1, Zhen Han, MD1, Hao Liu, MD1, Shitong Yu, MD1, Tao Chen, MD1, Guoxin Li, MD6 , Wenlan Zhou, MD4, Jiang Yu, MD1, Weicai Huang, MD7 and Yuming Jiang, MD8  \nSTOMACH  \n1Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, China; 2College of Computer Science, Nankai University, Tianjin, China; 3 Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China; 4Department of PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, China; 5Lynbrook High School, San Jose, California, USA; 6Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, C","cbCaitWqJx9l7DIa","https://ap.wps.com/l/cbCaitWqJx9l7DIa","pdf",821668,11,"English","# Introduction\n# Methods\n# Results\n# Discussion\n# Keywords","[{\"question\":\"What noninvasive method does the study use to evaluate VEGF status in gastric cancer?\",\"answer\":\"The study uses [18F] FDG PET/CT and extracts radiomic features to build a predictor of vascular endothelial growth factor (VEGF) status.\"},{\"question\":\"How is the radiomics score (RS) used in the analysis?\",\"answer\":\"An ARadiomics Score (RS) is calculated from extracted radiomic features and serves as a predictor for VEGF status and survival outcomes.\"},{\"question\":\"What do the results suggest about prognosis in relation to RS values?\",\"answer\":\"Higher RS values are associated with poorer survival, and RS is reported as an independent prognostic factor for survival.\"}]","Noninvasive Assessment of Vascular Endothelial Growth Factor and Prognosis in Gastric Cancer Through Radiomic Features | PDF",1790188217,28]