Automated CT Image Processing for the Diagnosis, Prediction, and Differentiation of Phenotypes in Chronic Lung Allograft Dysfunction After Lung Transplantation

Different CT biomarkers are suitable for the diagnosis of CLAD phenotypes, prediction of BOS, and differentiation of CLAD phenotypes.

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Publication Details

Journal
Clinical Transplantation
Published
2025-03-26
DOI
https://doi.org/10.1111/ctr.70137
Citations
1
Primary Topic
Transplantation: Methods and Outcomes
Type
article
Field-Weighted Citation Impact
2.01
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article

Automated CT Image Processing for the Diagnosis, Prediction, and Differentiation of Phenotypes in Chronic Lung Allograft Dysfunction After Lung Transplantation

Andreas Hecker, Ingolf Askevold, Christian Koch, Werner Seeger et al.
1 citations
Clinical Transplantation
Transplantation: Methods and Outcomes
2.01
article

Automated CT Image Processing for the Diagnosis, Prediction, and Differentiation of Phenotypes in Chronic Lung Allograft Dysfunction After Lung Transplantation

Andreas Hecker, Ingolf Askevold, Christian Koch, Werner Seeger, Oliver Weinheimer, N. S. S. Halim, Martin Reichert, Konstantin Mayer, Henning Gall, Gabriele Anja Krombach, Stefan Kuhnert, Fritz Roller, Athiththan Yogeswaran, Janine Sommerlad, Matthias Hecker
article en
1 citations

Abstract

Different CT biomarkers are suitable for the diagnosis of CLAD phenotypes, prediction of BOS, and differentiation of CLAD phenotypes.

Clinical TransplantationVol. 39(4)
Justus-Liebig-Universität Gießen (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), German Center for Lung Research (DE), Universities of Giessen and Marburg Lung Center (DE), Chemisches und Veterinäruntersuchungsamt Karlsruhe (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Transplantation: Methods and Outcomes
2.01
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