[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-455737-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-455737-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","improving-diagnostic-accuracy-in-acute-pulmonary-embolism-insights-from-spectral-dual-energy-ct","Improving Diagnostic Accuracy in Acute Pulmonary Embolism - Insights from Spectral Dual-energy CT","","Study purpose targets improving diagnostic performance for acute pulmonary embolism using spectral dual-energy detector computed tomography (SDCT) and derived imaging parameters. A retrospective cohort of 86 SDCT-confirmed APE patients reconstructs virtual monoenergetic images at 40, 70, and 100 KeV, iodine concentration maps, electron cloud density maps, effective atomic number maps, and attenuation plots. Mann-Whitney U tests, logistic regression, and ROC analyses evaluate differentiation between normal and embolized lung fields and embolus localization. SDCT parameters show significant group differences and strong AUC performance, with imaging supporting higher diagnostic efficiency.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/improving-diagnostic-accuracy-in-acute-pulmonary-embolism-insights-from-spectral-dual-energy-ct/455737/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/improving-diagnostic-accuracy-in-acute-pulmonary-embolism-insights-from-spectral-dual-energy-ct/455737.png","ImageObject",300,407,{"name":42,"@type":43},"Ophelia","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-08","2026-09-30",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",7,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What imaging technology and parameters were evaluated for diagnosing acute pulmonary embolism?","Question",{"text":63,"@type":64},"The study evaluated spectral dual-energy detector CT (SDCT) and reconstructed virtual monoenergetic images (40, 70, 100 KeV), iodine concentration maps, electron cloud density map, effective atomic number map, and Hounsfield unit attenuation plots (VMI slope).","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How was diagnostic performance assessed in the study?",{"text":68,"@type":64},"Two experienced radiologists evaluated patients, Mann-Whitney U tests compared parameters between normal and embolized lung fields, and ROC curves quantified performance. Logistic regression was used to demonstrate detection capability with AUC values.",{"name":70,"@type":61,"acceptedAnswer":71},"What were the main findings regarding SDCT for locating pulmonary artery emboli?",{"text":72,"@type":64},"Significant differences were found in several SDCT-derived parameters between normal and embolized lung fields, and high AUC values indicated strong detection ability for emboli localization in the pulmonary artery, supporting improved diagnostic efficiency in APE.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},455737,1790812463,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":111,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":117},7971461741311,"https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826","[1573-4056/25](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)[ Send Orders for Reprints to](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)[ ](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)[reprints@benthamscience.net](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)  \n1  \nCurrent Medical Imaging  \nContent list available at: [https://benthamscience.com/journals/cmir](https://benthamscience.com/journals/cmir)  \nRESEARCH ARTICLE  \nImproving Diagnostic Accuracy in Acute Pulmonary Embolism: Insights from Spectral Dual-energy CT  \nMei-Ling Shen1,2,3,\\#, Han-Wen Zhang3,4,\\#, Li-Hong Liu3, Wei-Ming Liu3, Hua Zhong3, Biao Huang4, *, Yu-li Wang3, * and Fan Lin3,*  \n1Department of Radiology, Shantou University Medical College, No. 22, Xinling Road, Shantou City, China 2Department of Radiology, Kuichong People's Hospital, Dapeng New District, Shenzhen 518119, China  \n3Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital,3002 SunGangXi Road, Shenzhen, China  \n4Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan 2nd Road, Guangzhou, Guangdong, China.  \nAbstract:  \nPurpose:  \nThis study aims to evaluate the clinical efficacy of spectral dual-energy detector computed tomography (SDCT) and its associated parameters in diagnosing acute pulmonary embolism (APE) .  \nMethods:  \nRetrospective analysis of imaging data from 86 APE-diagnosed patients using SDCT was conducted. Virtual monoenergetic images (VMIs) at 40, 70, and 100 KeV, Iodine concentration (IC) maps, Electron Cloud Density Map (ECDM), Effective atomic number (Z-eff) maps, and Hounsfield unit attenuation plots (VMI slope) were reconstructed from pulmonary artery phase CT images. The subtraction (SUB) and ratios of VMIs were calculated, and two experienced radiologists evaluated the patients. The Mann-Whitney U test assessed the parameter ability to differentiate between normal and obstructed lung fields and detect emboli in the pulmonary artery. Receiver Operating Characteristic Curves (ROC) were generated for performance evaluation.  \nResults:  \nSignificant differences (p\u003C0.001) in 40KeV, Ratio, SUB, and Z-eff were found between normal and embolized lung fields. Logistic regression demonstrated good detection performance for Z-eff (AUC=0.986), SUB (AUC=0.975), and IC (AUC=0.974) . Parameters such as 40KeV (AUC=0.990), 70KeV (AUC=0.980), 100KeV (AUC=0.962), SUB (AUC=0.990), Z-eff (AUC=0.999), and IC (AUC=1.000) exhibited good detection capabilities for identifying emboli in the pulmonary artery.  \nConclusion:  \nSDCT facilitates the identification of diseased lung fields and localization of emboli in the pulmonary artery, thereby improving diagnostic efficiency in APE.  \nKeywords: Spectral dual-energy detector computed tomography (SDCT), Acute pulmonary embolism, CT angiography (CTA), Clinical imaging diagnosis, Pulmonary embolism, Virtual monoenergetic images (VMIs) .  \n\n| Article History | Received: June 11, 2024 | Revised: September 11, 2024 | Accepted: October 01, 2024 |\n| --- | --- | --- | --- |\n\n1. INTRODUCTION  \nAcute pulmonary embolism (APE) stands as the third most lethal cardiovascular affliction [1, 2], striking with an incidence rate ranging from 29 to 115 cases per 100,000 individuals [3] . Simultaneously, APE bears a high mortality rate, claiming over  \n100,000 lives annually in the United States alone [4]. However, with the relentless enhancement of imaging detection technologies and increased clinical focus on this malady, the diagnostic capabilities for detecting APE have seen steady improvement, consequently contributing to a gradual decline in  \nDOI: 10.2174/0115734056323974241202175740, 2025, 21, e15734056323974  \nmortality rates associated with APE[.3]  \nAPE can arise from various clinical factors, incl","cbCaiiqTdqLS2J46","https://ap.wps.com/l/cbCaiiqTdqLS2J46","pdf",7571045,"English","# Abstract\n## Purpose\n## Methods\n## Results\n## Conclusion\n# Introduction\n## Clinical burden and diagnostic challenges\n## Role of CTA and spectral dual-energy CT\n# Materials and Methods\n## Patients","[{\"question\":\"What imaging technology and parameters were evaluated for diagnosing acute pulmonary embolism?\",\"answer\":\"The study evaluated spectral dual-energy detector CT (SDCT) and reconstructed virtual monoenergetic images (40, 70, 100 KeV), iodine concentration maps, electron cloud density map, effective atomic number map, and Hounsfield unit attenuation plots (VMI slope).\"},{\"question\":\"How was diagnostic performance assessed in the study?\",\"answer\":\"Two experienced radiologists evaluated patients, Mann-Whitney U tests compared parameters between normal and embolized lung fields, and ROC curves quantified performance. Logistic regression was used to demonstrate detection capability with AUC values.\"},{\"question\":\"What were the main findings regarding SDCT for locating pulmonary artery emboli?\",\"answer\":\"Significant differences were found in several SDCT-derived parameters between normal and embolized lung fields, and high AUC values indicated strong detection ability for emboli localization in the pulmonary artery, supporting improved diagnostic efficiency in APE.\"}]","Improving Diagnostic Accuracy in Acute Pulmonary Embolism - Insights from Spectral Dual-energy CT | PDF",1790744073]