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

Samuel G. Armato*, Geoffrey R. Oxnard, Heber MacMahon, Nicholas J. Vogelzang, Hedy L. Kindler, Masha Kocherginsky, Adam Starkey

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

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 (r≥0.99); 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 (r≥0.93). 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.

Original languageEnglish (US)
Pages (from-to)1105-1115
Number of pages11
JournalMedical Physics
Volume31
Issue number5
DOIs
StatePublished - May 2004

Keywords

  • Computed tomography
  • Computer-aided diagnosis (CAD)
  • Graphical interface
  • Image processing
  • Lung segmentation
  • Malignant pleural mesothelioma

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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