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Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment
BACKGROUND: The clinical and research value of Computed Tomography (CT) volumetry of esophageal cancer tumor size remains controversial. Development in CT technique and image analysis has made CT volumetry less cumbersome and it has gained renewed attention. The aim of this study was to assess esoph...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377716/ https://www.ncbi.nlm.nih.gov/pubmed/30767773 http://dx.doi.org/10.1186/s12880-019-0317-5 |
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author | Zhang, Yi-Hua Fischer, Michael A. Lehmann, Henrik Johnsson, Åse Rouvelas, Ioannis Herlin, Gunnar Lundell, Lars Brismar, Torkel B. |
author_facet | Zhang, Yi-Hua Fischer, Michael A. Lehmann, Henrik Johnsson, Åse Rouvelas, Ioannis Herlin, Gunnar Lundell, Lars Brismar, Torkel B. |
author_sort | Zhang, Yi-Hua |
collection | PubMed |
description | BACKGROUND: The clinical and research value of Computed Tomography (CT) volumetry of esophageal cancer tumor size remains controversial. Development in CT technique and image analysis has made CT volumetry less cumbersome and it has gained renewed attention. The aim of this study was to assess esophageal tumor volume by semi-automatic measurements as compared to manual. METHODS: A total of 23 esophageal cancer patients (median age 65, range 51–71), undergoing CT in the portal-venous phase for tumor staging, were retrospectively included between 2007 and 2012. One radiology resident and one consultant radiologist measured the tumor volume by semiautomatic segmentation and manual segmentation. Reproducibility of the respective measurements was assessed by intraclass correlation coefficients (ICC) and by average deviation from mean. RESULTS: Mean tumor volume was 46 ml (range 5-137 ml) using manual segmentation and 42 ml (range 3-111 ml) using semiautomatic segmentation. Semiautomatic measurement provided better inter-observer agreement than traditional manual segmentation. The ICC was significantly higher for semiautomatic segmentation in comparison to manual segmentation (0.86, 0.56, p < 0.01). The average absolute percentage difference from mean was reduced from 24 to 14% (p < 0.001) when using semiautomatic segmentation. CONCLUSIONS: Semiautomatic analysis outperforms manual analysis for assessment of esophageal tumor volume, improving reproducibility. |
format | Online Article Text |
id | pubmed-6377716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63777162019-02-27 Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment Zhang, Yi-Hua Fischer, Michael A. Lehmann, Henrik Johnsson, Åse Rouvelas, Ioannis Herlin, Gunnar Lundell, Lars Brismar, Torkel B. BMC Med Imaging Research Article BACKGROUND: The clinical and research value of Computed Tomography (CT) volumetry of esophageal cancer tumor size remains controversial. Development in CT technique and image analysis has made CT volumetry less cumbersome and it has gained renewed attention. The aim of this study was to assess esophageal tumor volume by semi-automatic measurements as compared to manual. METHODS: A total of 23 esophageal cancer patients (median age 65, range 51–71), undergoing CT in the portal-venous phase for tumor staging, were retrospectively included between 2007 and 2012. One radiology resident and one consultant radiologist measured the tumor volume by semiautomatic segmentation and manual segmentation. Reproducibility of the respective measurements was assessed by intraclass correlation coefficients (ICC) and by average deviation from mean. RESULTS: Mean tumor volume was 46 ml (range 5-137 ml) using manual segmentation and 42 ml (range 3-111 ml) using semiautomatic segmentation. Semiautomatic measurement provided better inter-observer agreement than traditional manual segmentation. The ICC was significantly higher for semiautomatic segmentation in comparison to manual segmentation (0.86, 0.56, p < 0.01). The average absolute percentage difference from mean was reduced from 24 to 14% (p < 0.001) when using semiautomatic segmentation. CONCLUSIONS: Semiautomatic analysis outperforms manual analysis for assessment of esophageal tumor volume, improving reproducibility. BioMed Central 2019-02-15 /pmc/articles/PMC6377716/ /pubmed/30767773 http://dx.doi.org/10.1186/s12880-019-0317-5 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhang, Yi-Hua Fischer, Michael A. Lehmann, Henrik Johnsson, Åse Rouvelas, Ioannis Herlin, Gunnar Lundell, Lars Brismar, Torkel B. Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
title | Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
title_full | Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
title_fullStr | Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
title_full_unstemmed | Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
title_short | Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
title_sort | computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377716/ https://www.ncbi.nlm.nih.gov/pubmed/30767773 http://dx.doi.org/10.1186/s12880-019-0317-5 |
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