Cargando…

Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism

Texture analysis is a quantitative imaging analysis that provides novel biomarkers beyond conventional image reading. Our aim was to use texture analysis of pulmonary emboli derived from thoracic computed tomography for prediction of mortality and prognosis of acute pulmonary embolism (PE). Overall,...

Descripción completa

Detalles Bibliográficos
Autores principales: Leonhardi, Jakob, Bailis, Nikolaos, Lerche, Marianne, Denecke, Timm, Surov, Alexey, Meyer, Hans-Jonas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070556/
https://www.ncbi.nlm.nih.gov/pubmed/35973807
http://dx.doi.org/10.1177/00033197221111862
_version_ 1785019036457762816
author Leonhardi, Jakob
Bailis, Nikolaos
Lerche, Marianne
Denecke, Timm
Surov, Alexey
Meyer, Hans-Jonas
author_facet Leonhardi, Jakob
Bailis, Nikolaos
Lerche, Marianne
Denecke, Timm
Surov, Alexey
Meyer, Hans-Jonas
author_sort Leonhardi, Jakob
collection PubMed
description Texture analysis is a quantitative imaging analysis that provides novel biomarkers beyond conventional image reading. Our aim was to use texture analysis of pulmonary emboli derived from thoracic computed tomography for prediction of mortality and prognosis of acute pulmonary embolism (PE). Overall, 216 patients (116 female, 53.7%) were included in the analysis. Texture analysis was calculated on axial slices of the contrast enhanced pulmonary angiography of the proximal embolus. Clinical scores, serological parameters, need for intubation, intensive care unit (ICU) admission and mortality was assessed and correlated with the texture features. In the correlation analysis, there were several associations with mortality in days, the highest for the parameter S(0,5)SumVarnc (r = −0.43, P < 0.001). Another parameter, S(3,−3)AngScMom correlated with sepsis-related organ failure assessment score (SOFA)-score (r = 0.31, P < 0.001). Several texture features correlated with venous lactate and glucose levels. In discrimination analysis, there were significant differences in regard to texture features between survivors and non-survivors and between patients with and without the need for ICU admission (P = 0.02, respectively). These results highlight the potential clinical benefit of texture features in patients with acute PE as novel imaging biomarkers. Further studies are needed to validate these results.
format Online
Article
Text
id pubmed-10070556
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-100705562023-04-05 Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism Leonhardi, Jakob Bailis, Nikolaos Lerche, Marianne Denecke, Timm Surov, Alexey Meyer, Hans-Jonas Angiology Pulmonary Embolism Texture analysis is a quantitative imaging analysis that provides novel biomarkers beyond conventional image reading. Our aim was to use texture analysis of pulmonary emboli derived from thoracic computed tomography for prediction of mortality and prognosis of acute pulmonary embolism (PE). Overall, 216 patients (116 female, 53.7%) were included in the analysis. Texture analysis was calculated on axial slices of the contrast enhanced pulmonary angiography of the proximal embolus. Clinical scores, serological parameters, need for intubation, intensive care unit (ICU) admission and mortality was assessed and correlated with the texture features. In the correlation analysis, there were several associations with mortality in days, the highest for the parameter S(0,5)SumVarnc (r = −0.43, P < 0.001). Another parameter, S(3,−3)AngScMom correlated with sepsis-related organ failure assessment score (SOFA)-score (r = 0.31, P < 0.001). Several texture features correlated with venous lactate and glucose levels. In discrimination analysis, there were significant differences in regard to texture features between survivors and non-survivors and between patients with and without the need for ICU admission (P = 0.02, respectively). These results highlight the potential clinical benefit of texture features in patients with acute PE as novel imaging biomarkers. Further studies are needed to validate these results. SAGE Publications 2022-08-16 2023-05 /pmc/articles/PMC10070556/ /pubmed/35973807 http://dx.doi.org/10.1177/00033197221111862 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Pulmonary Embolism
Leonhardi, Jakob
Bailis, Nikolaos
Lerche, Marianne
Denecke, Timm
Surov, Alexey
Meyer, Hans-Jonas
Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism
title Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism
title_full Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism
title_fullStr Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism
title_full_unstemmed Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism
title_short Computed Tomography Embolus Texture Analysis as a Prognostic Marker of Acute Pulmonary Embolism
title_sort computed tomography embolus texture analysis as a prognostic marker of acute pulmonary embolism
topic Pulmonary Embolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070556/
https://www.ncbi.nlm.nih.gov/pubmed/35973807
http://dx.doi.org/10.1177/00033197221111862
work_keys_str_mv AT leonhardijakob computedtomographyembolustextureanalysisasaprognosticmarkerofacutepulmonaryembolism
AT bailisnikolaos computedtomographyembolustextureanalysisasaprognosticmarkerofacutepulmonaryembolism
AT lerchemarianne computedtomographyembolustextureanalysisasaprognosticmarkerofacutepulmonaryembolism
AT denecketimm computedtomographyembolustextureanalysisasaprognosticmarkerofacutepulmonaryembolism
AT surovalexey computedtomographyembolustextureanalysisasaprognosticmarkerofacutepulmonaryembolism
AT meyerhansjonas computedtomographyembolustextureanalysisasaprognosticmarkerofacutepulmonaryembolism