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CT Texture analysis and CT scores for characterization of fluid collections

BACKGROUND: Texture analysis derived from Computed tomography (CT) might be able to better characterize fluid collections undergoing CT-guided percutaneous drainage treatment. The present study tested, whether texture analysis can reflect microbiology results in fluid collections suspicious for sept...

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Autores principales: Meyer, Hans-Jonas, Schnarkowski, Benedikt, Leonhardi, Jakob, Mehdorn, Matthias, Ebel, Sebastian, Goessmann, Holger, Denecke, Timm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647367/
https://www.ncbi.nlm.nih.gov/pubmed/34872524
http://dx.doi.org/10.1186/s12880-021-00718-w
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author Meyer, Hans-Jonas
Schnarkowski, Benedikt
Leonhardi, Jakob
Mehdorn, Matthias
Ebel, Sebastian
Goessmann, Holger
Denecke, Timm
author_facet Meyer, Hans-Jonas
Schnarkowski, Benedikt
Leonhardi, Jakob
Mehdorn, Matthias
Ebel, Sebastian
Goessmann, Holger
Denecke, Timm
author_sort Meyer, Hans-Jonas
collection PubMed
description BACKGROUND: Texture analysis derived from Computed tomography (CT) might be able to better characterize fluid collections undergoing CT-guided percutaneous drainage treatment. The present study tested, whether texture analysis can reflect microbiology results in fluid collections suspicious for septic focus. METHODS: Overall, 320 patients with 402 fluid collections were included into this retrospective study. All fluid collections underwent CT-guided drainage treatment and were microbiologically evaluated. Clinically, serologically parameters and conventional imaging findings as well as textures features were included into the analysis. A new CT score was calculated based upon imaging features alone. Established CT scores were used as a reference standard. RESULTS: The present score achieved a sensitivity of 0.78, a specificity of 0.69, area under curve (AUC 0.82). The present score and the score by Gnannt et al. (AUC 0.81) were both statistically better than the score by Radosa et al. (AUC 0.75). Several texture features were statistically significant between infected fluid collections and sterile fluid collections, but these features were not significantly better compared with conventional imaging findings. CONCLUSIONS: Texture analysis is not superior to conventional imaging findings for characterizing fluid collections. A novel score was calculated based upon imaging parameters alone with similar diagnostic accuracy compared to established scores using imaging and clinical features.
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spelling pubmed-86473672021-12-07 CT Texture analysis and CT scores for characterization of fluid collections Meyer, Hans-Jonas Schnarkowski, Benedikt Leonhardi, Jakob Mehdorn, Matthias Ebel, Sebastian Goessmann, Holger Denecke, Timm BMC Med Imaging Research BACKGROUND: Texture analysis derived from Computed tomography (CT) might be able to better characterize fluid collections undergoing CT-guided percutaneous drainage treatment. The present study tested, whether texture analysis can reflect microbiology results in fluid collections suspicious for septic focus. METHODS: Overall, 320 patients with 402 fluid collections were included into this retrospective study. All fluid collections underwent CT-guided drainage treatment and were microbiologically evaluated. Clinically, serologically parameters and conventional imaging findings as well as textures features were included into the analysis. A new CT score was calculated based upon imaging features alone. Established CT scores were used as a reference standard. RESULTS: The present score achieved a sensitivity of 0.78, a specificity of 0.69, area under curve (AUC 0.82). The present score and the score by Gnannt et al. (AUC 0.81) were both statistically better than the score by Radosa et al. (AUC 0.75). Several texture features were statistically significant between infected fluid collections and sterile fluid collections, but these features were not significantly better compared with conventional imaging findings. CONCLUSIONS: Texture analysis is not superior to conventional imaging findings for characterizing fluid collections. A novel score was calculated based upon imaging parameters alone with similar diagnostic accuracy compared to established scores using imaging and clinical features. BioMed Central 2021-12-06 /pmc/articles/PMC8647367/ /pubmed/34872524 http://dx.doi.org/10.1186/s12880-021-00718-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Meyer, Hans-Jonas
Schnarkowski, Benedikt
Leonhardi, Jakob
Mehdorn, Matthias
Ebel, Sebastian
Goessmann, Holger
Denecke, Timm
CT Texture analysis and CT scores for characterization of fluid collections
title CT Texture analysis and CT scores for characterization of fluid collections
title_full CT Texture analysis and CT scores for characterization of fluid collections
title_fullStr CT Texture analysis and CT scores for characterization of fluid collections
title_full_unstemmed CT Texture analysis and CT scores for characterization of fluid collections
title_short CT Texture analysis and CT scores for characterization of fluid collections
title_sort ct texture analysis and ct scores for characterization of fluid collections
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647367/
https://www.ncbi.nlm.nih.gov/pubmed/34872524
http://dx.doi.org/10.1186/s12880-021-00718-w
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