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Published in: BMC Medical Imaging 1/2019

Open Access 01-12-2019 | Computed Tomography | Research article

Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment

Authors: Yi-Hua Zhang, Michael A. Fischer, Henrik Lehmann, Åse Johnsson, Ioannis Rouvelas, Gunnar Herlin, Lars Lundell, Torkel B. Brismar

Published in: BMC Medical Imaging | Issue 1/2019

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Abstract

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.
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Metadata
Title
Computed tomography volumetry of esophageal cancer - the role of semiautomatic assessment
Authors
Yi-Hua Zhang
Michael A. Fischer
Henrik Lehmann
Åse Johnsson
Ioannis Rouvelas
Gunnar Herlin
Lars Lundell
Torkel B. Brismar
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2019
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-019-0317-5

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