Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer

Claudia I. Henschke; David F. Yankelevitz M.D.; Rowena Yip; Venice Archer; Gudrun Zahlmann; Karthik Krishnan; Brian Helba; Ricardo Avila

doi:10.1117/1.JMI.3.3.035505

20 September 2016 Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer

Claudia I. Henschke, David F. Yankelevitz M.D., Rowena Yip, Venice Archer, Gudrun Zahlmann, Karthik Krishnan, Brian Helba, Ricardo Avila

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Journal of Medical Imaging, Vol. 3, Issue 3, 035505 (September 2016). https://doi.org/10.1117/1.JMI.3.3.035505

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.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Claudia I. Henschke, David F. Yankelevitz M.D., Rowena Yip, Venice Archer, Gudrun Zahlmann, Karthik Krishnan, Brian Helba, and Ricardo Avila "Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer," Journal of Medical Imaging 3(3), 035505 (20 September 2016). https://doi.org/10.1117/1.JMI.3.3.035505

Published: 20 September 2016

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