Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.

Saved in:
Bibliographic Details
Title: Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.
Authors: Modanwal G; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. Electronic address: gourav.modanwal@emory.edu., Al-Kindi S; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA., Walker J; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA., Dhamdhere R; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA., Yuan L; Department of Information Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China., Ji M; Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China., Lu C; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China., Fu P; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA., Rajagopalan S; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA., Madabhushi A; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Atlanta Veterans Administration Medical Center, Atlanta, GA, USA.
Source: EBioMedicine [EBioMedicine] 2022 Nov; Vol. 85, pp. 104315. Date of Electronic Publication: 2022 Oct 26.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101647039 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-3964 (Electronic) Linking ISSN: 23523964 NLM ISO Abbreviation: EBioMedicine Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 36309007
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Modanwal+G%22">Modanwal G</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. Electronic address: gourav.modanwal@emory.edu.<br /><searchLink fieldCode="AU" term="%22Al-Kindi+S%22">Al-Kindi S</searchLink>; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Walker+J%22">Walker J</searchLink>; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Dhamdhere+R%22">Dhamdhere R</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Yuan+L%22">Yuan L</searchLink>; Department of Information Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Ji+M%22">Ji M</searchLink>; Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Lu+C%22">Lu C</searchLink>; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.<br /><searchLink fieldCode="AU" term="%22Fu+P%22">Fu P</searchLink>; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.<br /><searchLink fieldCode="AU" term="%22Rajagopalan+S%22">Rajagopalan S</searchLink>; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Madabhushi+A%22">Madabhushi A</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Atlanta Veterans Administration Medical Center, Atlanta, GA, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101647039%22">EBioMedicine</searchLink> [EBioMedicine] 2022 Nov; Vol. 85, pp. 104315. <i>Date of Electronic Publication: </i>2022 Oct 26.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%22">Elsevier B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101647039 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2352-3964 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223523964%22">23523964 </searchLink><i>NLM ISO Abbreviation: </i>EBioMedicine <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36309007
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ebiom.2022.104315
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 104315
    Titles:
      – TitleFull: Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Modanwal G
      – PersonEntity:
          Name:
            NameFull: Al-Kindi S
      – PersonEntity:
          Name:
            NameFull: Walker J
      – PersonEntity:
          Name:
            NameFull: Dhamdhere R
      – PersonEntity:
          Name:
            NameFull: Yuan L
      – PersonEntity:
          Name:
            NameFull: Ji M
      – PersonEntity:
          Name:
            NameFull: Lu C
      – PersonEntity:
          Name:
            NameFull: Fu P
      – PersonEntity:
          Name:
            NameFull: Rajagopalan S
      – PersonEntity:
          Name:
            NameFull: Madabhushi A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2022 Nov
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 2352-3964
          Numbering:
            – Type: volume
              Value: 85
          Titles:
            – TitleFull: EBioMedicine
              Type: main
ResultId 1