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Journal of Medical Imaging • Open Access

Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer
Author(s): Claudia I. Henschke; David F. Yankelevitz; Rowena Yip; Venice Archer; Gudrun Zahlmann; Karthik Krishnan; Brian Helba; Ricardo Avila

Paper Abstract

To address the error introduced by computed tomography (CT) scanners when assessing volume and unidimensional measurement of solid tumors, we scanned a precision manufactured pocket phantom simultaneously with patients enrolled in a lung cancer clinical trial. Dedicated software quantified bias and random error in the X,Y, and Z dimensions of a Teflon sphere and also quantified response evaluation criteria in solid tumors and volume measurements using both constant and adaptive thresholding. We found that underestimation bias was essentially the same for X,Y, and Z dimensions using constant thresholding and had similar values for adaptive thresholding. The random error of these length measurements as measured by the standard deviation and coefficient of variation was 0.10 mm (0.65), 0.11 mm (0.71), and 0.59 mm (3.75) for constant thresholding and 0.08 mm (0.51), 0.09 mm (0.56), and 0.58 mm (3.68) for adaptive thresholding, respectively. For random error, however, Z lengths had at least a fivefold higher standard deviation and coefficient of variation than X and Y. Observed Z-dimension error was especially high for some 8 and 16 slice CT models. Error in CT image formation, in particular, for models with low numbers of detector rows, may be large enough to be misinterpreted as representing either treatment response or disease progression.

Paper Details

Date Published: 20 September 2016
PDF: 8 pages
J. Med. Imag. 3(3) 035505 doi: 10.1117/1.JMI.3.3.035505
Published in: Journal of Medical Imaging Volume 3, Issue 3
Show Author Affiliations
Claudia I. Henschke, Icahn School of Medicine at Mount Sinai (United States)
Early Diagnosis and Treatment Research Foundation (United States)
David F. Yankelevitz, Icahn School of Medicine at Mount Sinai (United States)
Rowena Yip, Icahn School of Medicine at Mount Sinai (United States)
Venice Archer, Roche Products Ltd. (Pharmaceuticals) (United Kingdom)
Gudrun Zahlmann, F. Hoffmann-La Roche Ltd. (Switzerland)
Karthik Krishnan, Kitware, Inc. (United States)
Brian Helba, Kitware, Inc. (United States)
Ricardo Avila, Accumetra, LLC (United States)

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