[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125550-en":3,"doc-seo-125550-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125550,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","Post-COVID-19 interstitial lung disease - Insights from a machine learning radiographic model","Post-COVID-19 interstitial lung disease is presented as an emerging clinical entity with variable functional impairment after severe acute respiratory syndrome coronavirus 2 infection. A multicenter retrospective cohort of consecutive patients was assessed about three months post-infection using high-resolution computed tomography analyzed with Imbio Lung Texture Analysis 2.1. Baseline pulmonary function and radiographic extent of ground-glass opacities and reticulation were quantified, and a subgroup with fibrotic disease receiving antifibrotics showed absolute FVC% predicted improvements over follow-up, suggesting potential value of imaging-driven guidance for therapy.","TYPE Original Research PUBLISHED 17 January 2023  \nDOI 10.3389/fmed.2022.1083264  \nOPEN ACCESS  \nEDITED BY  \nRifat Hamoudi,  \nUniversity of Sharjah, United Arab Emirates  \nREVIEWED BY  \nConstantina A. Bounia,  \nGeneral University Hospital of Patras, Greece Ludovica Capitelli,  \nUniversity of Naples Federico II, Italy Athanasios Voulgaris,  \nDemocritus University of Thrace, Greece  \n*CORRESPONDENCE  \nArgyris Tzouvelekis  \n [atzouvelekis@upatras.gr](atzouvelekis@upatras.gr);  \n [argyris.tzouvelekis@gmail.com](argyris.tzouvelekis@gmail.com)[ ](argyris.tzouvelekis@gmail.com)†These authors have contributed equally to this work and share first authorship  \nSPECIALTY SECTION  \nThis article was submitted to Pulmonary Medicine, a section of the journal Frontiers in Medicine  \nRECEIVED 28 October 2022  \nACCEPTED 30 December 2022  \nPUBLISHED 17 January 2023  \nCITATION  \nKarampitsakos T, Sotiropoulou V, Katsaras M, Tsiri P, Georgakopoulou VE, Papanikolaou IC, Bibaki E, Tomos I, Lambiri I, Papaioannou O, Zarkadi E, Antonakis E, Pandi A,  \nMalakounidou E, Sampsonas F, Makrodimitri S, Chrysikos S, Hillas G, Dimakou K, Tzanakis N, Sipsas NV, Antoniou K and Tzouvelekis A (2023)  \nPost-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model.  \nFront. Med. 9:1083264 .  \ndoi: 10.3389/fmed.2022.1083264  \nCOPYRIGHT  \n© 2023 Karampitsakos, Sotiropoulou, Katsaras, Tsiri, Georgakopoulou, Papanikolaou, Bibaki, Tomos, Lambiri, Papaioannou, Zarkadi, Antonakis, Pandi, Malakounidou, Sampsonas, Makrodimitri, Chrysikos, Hillas, Dimakou, Tzanakis, Sipsas, Antoniou and Tzouvelekis. 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.  \nNo use, distribution or reproduction is permitted which does not comply with these terms.  \nPost-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model  \nTheodoros Karampitsakos1†, Vasilina Sotiropoulou1†,  \nMatthaios Katsaras1 , Panagiota Tsiri1 , Vasiliki E. Georgakopoulou2 , Ilias C. Papanikolaou3 , Eleni Bibaki4 , Ioannis Tomos5 , Irini Lambiri4 , Ourania Papaioannou1 , Eirini Zarkadi1 , Emmanouil Antonakis3 , Aggeliki Pandi3 , Elli Malakounidou1 , Fotios Sampsonas1 ,  \nSotiria Makrodimitri2 , Serafeim Chrysikos5 , Georgios Hillas5 , Katerina Dimakou5 , Nikolaos Tzanakis4 , Nikolaos V. Sipsas2,6 , Katerina Antoniou4 and Argyris Tzouvelekis1*  \n1 Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece, 2 Department of Infectious Diseases-COVID-19 Unit, Laiko General Hospital, Athens, Greece, 3 Department of Respiratory Medicine, Corfu General Hospital, Corfu, Greece, 4 Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece, 5 5th Department of Respiratory Medicine, Hospital for Thoracic Diseases,’SOTIRIA’, Athens, Greece, 6 Medical School, National and Kapodistrian University of Athens, Zografou, Greece  \nIntroduction: Post-acute sequelae of COVID-19 seem to be an emerging global crisis. Machine learning radiographic models have great potential for meticulous evaluation of post-COVID-19 interstitial lung disease (ILD) .  \nMethods: In this multicenter, retrospective study, we included consecutive patients that had been evaluated 3 months following severe acute respiratory syndrome coronavirus 2 infection between 01/02/2021 and 12/5/2022 . High-resolution computed tomography was evaluated through Imbio Lung Texture Analysis 2 .1.  \nResults: Two hundred thirty-two (n = 232) patients were analyzed. FVC% predicted was 􀀕80, between 60 and 79 and \u003C60 in 74 . 2%(n = 172), 21 . 1%(n = 49), and 4 .7%(n = 11) of the cohort, respectively. DLCO% predicted was","cbCaiaB8NJzmJ0IO","https://ap.wps.com/l/cbCaiaB8NJzmJ0IO","pdf",2447076,1,10,"English","en",105,"# Introduction\n## Long COVID and post-acute sequelae\n# Methods\n## Study design and imaging analysis\n# Results\n## Pulmonary function distribution and radiographic findings\n## Antifibrotic-treated fibrotic subgroup\n# Conclusion","[{\"question\":\"What study design and timing were used to evaluate patients after severe COVID-19?\",\"answer\":\"A multicenter retrospective study included consecutive patients evaluated about 3 months after severe acute respiratory syndrome coronavirus 2 infection.\"},{\"question\":\"How was imaging assessed in the study?\",\"answer\":\"High-resolution computed tomography was evaluated using Imbio Lung Texture Analysis 2.1 to quantify radiographic patterns.\"},{\"question\":\"What benefit was observed in the fibrotic subgroup treated with antifibrotics?\",\"answer\":\"Patients with fibrotic lung disease and persistent functional impairment at 6 months received antifibrotics and showed absolute improvements in FVC% predicted at 3 and 6 months after initiation.\"}]","Post-COVID-19 interstitial lung disease - Insights from a machine learning radiographic model | PDF",1785899812,25,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"post-covid-19-interstitial-lung-disease-insights-from-a-machine-learning-radiographic-model","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/post-covid-19-interstitial-lung-disease-insights-from-a-machine-learning-radiographic-model/125550/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What study design and timing were used to evaluate patients after severe COVID-19?","Question",{"text":75,"@type":76},"A multicenter retrospective study included consecutive patients evaluated about 3 months after severe acute respiratory syndrome coronavirus 2 infection.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How was imaging assessed in the study?",{"text":80,"@type":76},"High-resolution computed tomography was evaluated using Imbio Lung Texture Analysis 2.1 to quantify radiographic patterns.",{"name":82,"@type":73,"acceptedAnswer":83},"What benefit was observed in the fibrotic subgroup treated with antifibrotics?",{"text":84,"@type":76},"Patients with fibrotic lung disease and persistent functional impairment at 6 months received antifibrotics and showed absolute improvements in FVC% predicted at 3 and 6 months after initiation.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":21,"slug":133},"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]