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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.
Afiliação
  • Zhang YH; Department of Diagnostic Radiology and Karolinska Institutet, Karolinska University Hospital, CLINTEC, Stockholm, Sweden. yi-hua.zhang@ki.se.
  • Fischer MA; Division of Medical Imaging and Technology, Department of Clinical Science, Intervention and Technology, Karolinska University Hospital, Huddinge, 141 86, Stockholm, Sweden. yi-hua.zhang@ki.se.
  • Lehmann H; Department of Diagnostic Radiology and Karolinska Institutet, Karolinska University Hospital, CLINTEC, Stockholm, Sweden.
  • Johnsson Å; Department of Diagnostic Radiology and Karolinska Institutet, Karolinska University Hospital, CLINTEC, Stockholm, Sweden.
  • Rouvelas I; Department of Radiology, Institute of Clinical Sciences, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
  • Herlin G; Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Lundell L; Department of Surgery, Centre for Digestive Diseases and Karolinska Institutet, Karolinska University Hospital, CLINTEC, Stockholm, Sweden.
  • Brismar TB; Department of Diagnostic Radiology and Karolinska Institutet, Karolinska University Hospital, CLINTEC, Stockholm, Sweden.
BMC Med Imaging ; 19(1): 17, 2019 02 15.
Article em En | MEDLINE | ID: mdl-30767773
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Tomografia Computadorizada de Feixe Cônico Tipo de estudo: Guideline / Observational_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Tomografia Computadorizada de Feixe Cônico Tipo de estudo: Guideline / Observational_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article