View in EDS HTML Full Text PDF Full Text

Local Morphologic and Hemodynamic Analyses for the Prediction of Abdominal Aortic Aneurysm Rupture Based on Patient-Specific CTA and Computational Modeling.

Saved in:
Bibliographic Details
Title: Local Morphologic and Hemodynamic Analyses for the Prediction of Abdominal Aortic Aneurysm Rupture Based on Patient-Specific CTA and Computational Modeling.
Authors: Wang J; Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University's Medical College, Hangzhou, China., Chen B; Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University's Medical College, Hangzhou, China., Bai Z; Department of Cardiovascular Surgery, Second Affiliated Hospital of Zhejiang University's Medical College, Hangzhou, China., Yang T; School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, China., Gao F; Department of Simulation Science and Technology, Shaanxi Xinmai Medical Technology Company, Ltd, Xi'an, China.
Source: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists [J Endovasc Ther] 2026 Apr; Vol. 33 (2), pp. 951-964. Date of Electronic Publication: 2024 Nov 06.
Publication Type: Journal Article; Case Reports
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 100896915 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1545-1550 (Electronic) Linking ISSN: 15266028 NLM ISO Abbreviation: J Endovasc Ther Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39503373
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Local Morphologic and Hemodynamic Analyses for the Prediction of Abdominal Aortic Aneurysm Rupture Based on Patient-Specific CTA and Computational Modeling.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University's Medical College, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+B%22">Chen B</searchLink>; Department of Vascular Surgery, Second Affiliated Hospital of Zhejiang University's Medical College, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Bai+Z%22">Bai Z</searchLink>; Department of Cardiovascular Surgery, Second Affiliated Hospital of Zhejiang University's Medical College, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Yang+T%22">Yang T</searchLink>; School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, China.<br /><searchLink fieldCode="AU" term="%22Gao+F%22">Gao F</searchLink>; Department of Simulation Science and Technology, Shaanxi Xinmai Medical Technology Company, Ltd, Xi'an, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100896915%22">Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists</searchLink> [J Endovasc Ther] 2026 Apr; Vol. 33 (2), pp. 951-964. <i>Date of Electronic Publication: </i>2024 Nov 06.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Case Reports
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100896915 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1545-1550 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215266028%22">15266028 </searchLink><i>NLM ISO Abbreviation: </i>J Endovasc Ther <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39503373
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/15266028241285130
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 951
    Titles:
      – TitleFull: Local Morphologic and Hemodynamic Analyses for the Prediction of Abdominal Aortic Aneurysm Rupture Based on Patient-Specific CTA and Computational Modeling.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang J
      – PersonEntity:
          Name:
            NameFull: Chen B
      – PersonEntity:
          Name:
            NameFull: Bai Z
      – PersonEntity:
          Name:
            NameFull: Yang T
      – PersonEntity:
          Name:
            NameFull: Gao F
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: 2026 Apr
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1545-1550
          Numbering:
            – Type: volume
              Value: 33
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
              Type: main
ResultId 1