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

Journal article
Authors Y. H. Zhang
M. A. Fischer
H. Lehmann
Åse (Allansdotter) Johnsson
I. Rouvelas
G. Herlin
L. Lundell
T. B. Brismar
Published in Bmc Medical Imaging
Volume 19
ISSN 1471-2342
Publication year 2019
Published at Institute of Clinical Sciences, Department of Radiology
Language en
Links dx.doi.org/10.1186/s12880-019-0317-...
Keywords Esophageal cancer, Computed tomography, Tumor volume, Esophageal resection, neoadjuvant chemotherapy, tumor volume, esophagogastric junction, gastroesophageal cancer, early response, ct, chemoradiotherapy, carcinoma, heterogeneity, therapy, Radiology, Nuclear Medicine & Medical Imaging
Subject categories Cancer and Oncology, Diagnostic radiology

Abstract

BackgroundThe 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.MethodsA 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.ResultsMean tumor volume was 46ml (range 5-137ml) using manual segmentation and 42ml (range 3-111ml) 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.ConclusionsSemiautomatic analysis outperforms manual analysis for assessment of esophageal tumor volume, improving reproducibility.

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