Volume 31, Issue 5 p. 1105-1115
Radiation imaging physics

Measurement of mesothelioma on thoracic CT scans: A comparison of manual and computer-assisted techniques

Samuel G. Armato III

Samuel G. Armato III

Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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Geoffrey R. Oxnard

Geoffrey R. Oxnard

Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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Heber MacMahon

Heber MacMahon

Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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Nicholas J. Vogelzang

Nicholas J. Vogelzang

Department of Medicine, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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Hedy L. Kindler

Hedy L. Kindler

Department of Medicine, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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Masha Kocherginsky

Masha Kocherginsky

Department of Health Studies, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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Adam Starkey

Adam Starkey

Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637

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First published: 15 April 2004
Citations: 64

Abstract

Our purpose in this study was to evaluate the variability of manual mesothelioma tumor thickness measurements in computed tomography (CT) scans and to assess the relative performance of six computerized measurement algorithms. The CT scans of 22 patients with malignant pleural mesothelioma were collected. In each scan, an initial observer identified up to three sites in each of three CT sections at which tumor thickness measurements were to be made. At each site, five observers manually measured tumor thickness through a computer interface. Three observers repeated these measurements during three separate sessions. Inter- and intra-observer variability in the manual measurement of tumor thickness was assessed. Six automated measurement algorithms were developed based on the geometric relationship between a specified measurement site and the automatically extracted lung regions. Computer-generated measurements were compared with manual measurements. The tumor thickness measurements of different observers were highly correlated urn:x-wiley:00942405:media:mp8211:mp8211-math-0001 however, the 95% limits of agreement for relative inter-observer difference spanned a range of 30%. Tumor thickness measurements generated by the computer algorithms also correlated highly with the average of observer measurements urn:x-wiley:00942405:media:mp8211:mp8211-math-0002 We have developed computerized techniques for the measurement of mesothelioma tumor thickness in CT scans. These techniques achieved varying levels of agreement with measurements made by human observers.