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Ninety-four patients were screened, with 32 included in the high-expression group and 40 in the low-expression group. APTw, conventional DWI, IVIM, and DKI were used to derive MTRasym, ADC, D, D*, f, MK, and MD, which were compared between groups and tested with correlation and ROC-based performance analyses. Results showed significant group differences and identification of f, MK, and MD as independent predictors, with multimodal combinations improving evaluation efficiency.",{"@graph":69,"@context":122},[70,84,105],{"@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":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/amide-proton-transfer-weighted-imaging-combined-with-multiple-models-diffusion-weighted-imaging-of-endometrial-cancer-correlations-between-multimodal-mri-parameters-and-hif-1a-expression/272209/",{"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/amide-proton-transfer-weighted-imaging-combined-with-multiple-models-diffusion-weighted-imaging-of-endometrial-cancer-correlations-between-multimodal-mri-parameters-and-hif-1a-expression/272209.png","ImageObject",300,407,{"name":92,"@type":93},"Felix Montgomery","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-15",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What imaging modalities and parameters were used to study HIF-1a expression?","Question",{"text":112,"@type":113},"The study used amide proton transfer-weighted imaging (APTw) plus conventional DWI, IVIM, and DKI. Derived parameters included MTRasym, ADC, D, D*, f, MK, and MD.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were patients grouped for comparison of HIF-1a expression?",{"text":117,"@type":113},"Patients with endometrial cancer were classified into high HIF-1a expression and low HIF-1a expression groups based on exclusion and inclusion criteria, resulting in 32 and 40 patients respectively.",{"name":119,"@type":110,"acceptedAnswer":120},"Which MRI parameters independently predicted HIF-1a expression?",{"text":121,"@type":113},"Multivariate analysis identified f, MK, and MD as independent predictors for evaluating HIF-1a expression in endometrial cancer.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},272209,1789463779,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},549768064778,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","TYPE Original Research PUBLISHED 28 April 2025  \nDOI 10.3389/fonc.2025.1556311  \nOPEN ACCESS  \nEDITED BY  \nSilvia Capuani,  \nNational Research Council (CNR), Italy  \nREVIEWED BY  \nZhenyu Shu,  \nZhejiang Provincial People’s Hospital, China Violante Di Donato,  \nUnitelma Sapienza University, Italy  \n*CORRESPONDENCE  \nAilian Liu  \n [liuailian@dmu.edu.cn](liuailian@dmu.edu.cn)  \nRECEIVED 06 January 2025  \nACCEPTED 31 March 2025  \nPUBLISHED 28 April 2025  \nCORRECTED 26 September 2025  \nCITATION  \nLi J, Ma C, Tian S, Liu A, Song Q, Wang N, Song Q, Lin L, Sun P and Wang J (2025) Amide proton transfer-weighted imaging combined with multiple models diffusionweighted imaging of endometrial cancer:  \ncorrelations between multi-modal MRI parameters and HIF-1a expression.  \nFront. Oncol. 15:1556311 .  \ndoi: 10.3389/fonc.2025.1556311  \nCOPYRIGHT  \n© 2025 Li, Ma, Tian, Liu, Song, Wang, Song, Lin, Sun and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nAmide proton transfer-weighted imaging combined with multiple models diffusion-weighted imaging of endometrial cancer:  \ncorrelations between multimodal MRI parameters and HIF-1a expression  \nJun Li 1, Changjun Ma 2, Shifeng Tian 1,3, Ailian Liu 1,3,4*, Qingling Song 1,3, Nan Wang1,3, Qingwei Song 1,3, Liangjie Lin 5, Peng Sun 5 and Jiazheng Wang 5  \n1 Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China, 2School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, China, 3 Dalian Medical Image Artificial Intelligence Engineering Technology Research Center, Dalian, Liaoning, China, 4Technology Innovation Center of Hyperpolarized MRI, Dalian, Liaoning, China, 5 Philips Health Technology (China) Co., Ltd., Beijing, China  \nBackground: Hypoxia inducible factor (HIF-1a) is a major transcriptional factor regulating gene expression under hypoxic conditions. HIF-1a expression was closely correlated with the oxygenation status of tumor and could serve as an important biomarker for tumor hypoxia, aggressiveness, or radiation resistance. High expression of HIF-1a contributes to high aggressiveness or poor prognosis of endometrial cancer.  \nPurpose: This study aimed to investigate correlations between multimodal MRI parameters (derived from amide proton transfer weighted imaging [APTw], conventional diffusion weighted imaging [DWI], intravoxel incoherent motion [IVIM] imaging and diffusion kurtosis imaging [DKI]) and HIF-1a expression, and to determine whether multimodal MRI can be used for quantitative evaluation of HIF-1a expression.  \nStudy type: Retrospective.  \nPopulation: A total of 94 patients with EC were examined with 32 cases finally included in the high HIF-1a expression group and 40 cases included in the low expression group according to the exclusion and inclusion criteria.  \nField Strength/Sequence: 3. 0T/APTw, DWI, IVIM, and DKI  \nAssessment: The asymmetry of magnetization transfer rate (MTRasym), apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f), mean kurtosis (MK), and mean diffusivity (MD) were calculated from multimodal MRI and compared between HIF-1a high expression and HIF-1a low expression groups.  \nFrontiers in Oncology 01 [frontiersin.org](frontiersin.org)  \nStatistical Test: Mann–Whitney U-test; Chi-square test or Fisher exact test; logistic regression analysis; Area under the receiver operating characteristic (ROC) curve (AUC); The Delong test; Pearson or Spearman correlation coefficients. The significance th","cbCaijkZZryCJ4C3","https://ap.wps.com/l/cbCaijkZZryCJ4C3","pdf",2138023,14,"English","# Background\n# Purpose\n# Methods\n## Population and design\n## MRI parameters and assessment\n# Results\n# Conclusion","[{\"question\":\"What imaging modalities and parameters were used to study HIF-1a expression?\",\"answer\":\"The study used amide proton transfer-weighted imaging (APTw) plus conventional DWI, IVIM, and DKI. Derived parameters included MTRasym, ADC, D, D*, f, MK, and MD.\"},{\"question\":\"How were patients grouped for comparison of HIF-1a expression?\",\"answer\":\"Patients with endometrial cancer were classified into high HIF-1a expression and low HIF-1a expression groups based on exclusion and inclusion criteria, resulting in 32 and 40 patients respectively.\"},{\"question\":\"Which MRI parameters independently predicted HIF-1a expression?\",\"answer\":\"Multivariate analysis identified f, MK, and MD as independent predictors for evaluating HIF-1a expression in endometrial cancer.\"}]","Amide proton transfer-weighted imaging combined with multiple models diffusion-weighted imaging of endometrial cancer - correlations between multimodal MRI parameters and HIF-1a expression | PDF",35]