Assessment of a Perfusion and Ventilation Method for Detecting Lung and Liver Injury in a Cadaveric Model.

Saved in:
Bibliographic Details
Title: Assessment of a Perfusion and Ventilation Method for Detecting Lung and Liver Injury in a Cadaveric Model.
Authors: Bir, Cynthia1 (AUTHOR) cbir@wayne.edu, Wong, Monica2 (AUTHOR), Villalta, Rodrigo2 (AUTHOR), Lewis, Meghan2 (AUTHOR), Sherman, Donald1 (AUTHOR), Matheis, Erika3 (AUTHOR), Inaba, Kenji2 (AUTHOR), Rafaels, Karin4 (AUTHOR)
Source: Annals of Biomedical Engineering. Sep2023, Vol. 51 Issue 9, p2048-2055. 8p.
Subjects: Liver injuries, Soft tissue injuries, Lung injuries, Lungs, Blunt trauma, Ventilation
Abstract: Surgical simulation models have been developed using post-mortem human subjects (PMHS). These models involve the pressurization and ventilation of the PMHS to create a more realistic environment for training and the practice of surgical procedures. The overall objective of this study was to determine the feasibility of a previously developed surgical simulation model to detect soft tissue injuries during a ballistic impact to the torso. One of the main limitations of using PMHS for the assessment of soft tissue injuries in the field of injury biomechanics is the lack of physiological blood flow. To overcome this limitation, the assessment of the surgical simulation model for use in injury biomechanics applications was conducted based on data collected from behind armor blunt trauma (BABT) case studies. Documented injuries in real-world cases included anterior lung contusion, posterior lung contusion, and liver contusion. These real-world injuries were compared to those seen post-impact in the PMHS using pathological and histological techniques. Discussion of limitations and future work is presented. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 169825679
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Assessment of a Perfusion and Ventilation Method for Detecting Lung and Liver Injury in a Cadaveric Model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bir%2C+Cynthia%22">Bir, Cynthia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cbir@wayne.edu</i><br /><searchLink fieldCode="AR" term="%22Wong%2C+Monica%22">Wong, Monica</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Villalta%2C+Rodrigo%22">Villalta, Rodrigo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lewis%2C+Meghan%22">Lewis, Meghan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sherman%2C+Donald%22">Sherman, Donald</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matheis%2C+Erika%22">Matheis, Erika</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Inaba%2C+Kenji%22">Inaba, Kenji</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rafaels%2C+Karin%22">Rafaels, Karin</searchLink><relatesTo>4</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. Sep2023, Vol. 51 Issue 9, p2048-2055. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Liver+injuries%22">Liver injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+tissue+injuries%22">Soft tissue injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Lung+injuries%22">Lung injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Lungs%22">Lungs</searchLink><br /><searchLink fieldCode="DE" term="%22Blunt+trauma%22">Blunt trauma</searchLink><br /><searchLink fieldCode="DE" term="%22Ventilation%22">Ventilation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Surgical simulation models have been developed using post-mortem human subjects (PMHS). These models involve the pressurization and ventilation of the PMHS to create a more realistic environment for training and the practice of surgical procedures. The overall objective of this study was to determine the feasibility of a previously developed surgical simulation model to detect soft tissue injuries during a ballistic impact to the torso. One of the main limitations of using PMHS for the assessment of soft tissue injuries in the field of injury biomechanics is the lack of physiological blood flow. To overcome this limitation, the assessment of the surgical simulation model for use in injury biomechanics applications was conducted based on data collected from behind armor blunt trauma (BABT) case studies. Documented injuries in real-world cases included anterior lung contusion, posterior lung contusion, and liver contusion. These real-world injuries were compared to those seen post-impact in the PMHS using pathological and histological techniques. Discussion of limitations and future work is presented. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=169825679
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10439-023-03230-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 2048
    Subjects:
      – SubjectFull: Liver injuries
        Type: general
      – SubjectFull: Soft tissue injuries
        Type: general
      – SubjectFull: Lung injuries
        Type: general
      – SubjectFull: Lungs
        Type: general
      – SubjectFull: Blunt trauma
        Type: general
      – SubjectFull: Ventilation
        Type: general
    Titles:
      – TitleFull: Assessment of a Perfusion and Ventilation Method for Detecting Lung and Liver Injury in a Cadaveric Model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bir, Cynthia
      – PersonEntity:
          Name:
            NameFull: Wong, Monica
      – PersonEntity:
          Name:
            NameFull: Villalta, Rodrigo
      – PersonEntity:
          Name:
            NameFull: Lewis, Meghan
      – PersonEntity:
          Name:
            NameFull: Sherman, Donald
      – PersonEntity:
          Name:
            NameFull: Matheis, Erika
      – PersonEntity:
          Name:
            NameFull: Inaba, Kenji
      – PersonEntity:
          Name:
            NameFull: Rafaels, Karin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 00906964
          Numbering:
            – Type: volume
              Value: 51
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Annals of Biomedical Engineering
              Type: main
ResultId 1