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Proceedings Paper

A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT
Author(s): Lifeng Yu; Qiyuan Hu; Chi Wan Koo; Edwin A. Takahashi; David L. Levin; Tucker F. Johnson; Megan J. Hora; Shane Dirks; Baiyu Chen; Kyle McMillan; Shuai Leng; J. G. Fletcher; Cynthia H. McCollough
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Paper Abstract

Task-based image quality assessment using model observers is promising to provide an efficient, quantitative, and objective approach to CT dose optimization. Before this approach can be reliably used in practice, its correlation with radiologist performance for the same clinical task needs to be established. Determining human observer performance for a well-defined clinical task, however, has always been a challenge due to the tremendous amount of efforts needed to collect a large number of positive cases. To overcome this challenge, we developed an accurate projection-based insertion technique. In this study, we present a virtual clinical trial using this tool and a low-dose simulation tool to determine radiologist performance on lung-nodule detection as a function of radiation dose, nodule type, nodule size, and reconstruction methods. The lesion insertion and low-dose simulation tools together were demonstrated to provide flexibility to generate realistically-appearing clinical cases under well-defined conditions. The reader performance data obtained in this virtual clinical trial can be used as the basis to develop model observers for lung nodule detection, as well as for dose and protocol optimization in lung cancer screening CT.

Paper Details

Date Published: 9 March 2017
PDF: 6 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101321R (9 March 2017); doi: 10.1117/12.2255593
Show Author Affiliations
Lifeng Yu, Mayo Clinic (United States)
Qiyuan Hu, Mayo Clinic (United States)
Chi Wan Koo, Mayo Clinic (United States)
Edwin A. Takahashi, Mayo Clinic (United States)
David L. Levin, Mayo Clinic (United States)
Tucker F. Johnson, Mayo Clinic (United States)
Megan J. Hora, Mayo Clinic (United States)
Shane Dirks, Mayo Clinic (United States)
Baiyu Chen, Mayo Clinic (United States)
Kyle McMillan, Mayo Clinic (United States)
Shuai Leng, Mayo Clinic (United States)
J. G. Fletcher, Mayo Clinic (United States)
Cynthia H. McCollough, Mayo Clinic (United States)

Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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