A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT

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

doi:10.1117/12.2255593

A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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.

Original language	English (US)
Title of host publication	Medical Imaging 2017
Subtitle of host publication	Physics of Medical Imaging
Editors	Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
Publisher	SPIE
ISBN (Electronic)	9781510607095
DOIs	https://doi.org/10.1117/12.2255593
State	Published - 2017
Event	Medical Imaging 2017: Physics of Medical Imaging - Orlando, United States Duration: Feb 13 2017 → Feb 16 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10132
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2017: Physics of Medical Imaging
Country/Territory	United States
City	Orlando
Period	2/13/17 → 2/16/17

Keywords

Computed tomography (CT)
Dose optimization
Image quality
Model observer
Observer study

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2255593

Cite this

Yu, L., Hu, Q., Koo, C. W., Takahashi, E. A., Levin, D. L., Johnson, T. F., Hora, M. J., Dirks, S., Chen, B., McMillan, K., Leng, S., Fletcher, J. G., & McCollough, C. H. (2017). A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. In T. G. Schmidt, J. Y. Lo, & T. G. Flohr (Eds.), Medical Imaging 2017: Physics of Medical Imaging Article 101321R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132). SPIE. https://doi.org/10.1117/12.2255593

A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. / Yu, Lifeng; Hu, Qiyuan; Koo, Chi Wan et al.
Medical Imaging 2017: Physics of Medical Imaging. ed. / Taly Gilat Schmidt; Joseph Y. Lo; Thomas G. Flohr. SPIE, 2017. 101321R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yu, L, Hu, Q, Koo, CW, Takahashi, EA, Levin, DL, Johnson, TF, Hora, MJ, Dirks, S, Chen, B, McMillan, K, Leng, S , Fletcher, JG & McCollough, CH 2017, A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. in TG Schmidt, JY Lo & TG Flohr (eds), Medical Imaging 2017: Physics of Medical Imaging., 101321R, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10132, SPIE, Medical Imaging 2017: Physics of Medical Imaging, Orlando, United States, 2/13/17. https://doi.org/10.1117/12.2255593

Yu L, Hu Q, Koo CW, Takahashi EA, Levin DL, Johnson TF et al. A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. In Schmidt TG, Lo JY, Flohr TG, editors, Medical Imaging 2017: Physics of Medical Imaging. SPIE. 2017. 101321R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2255593

Yu, Lifeng ; Hu, Qiyuan ; Koo, Chi Wan et al. / A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. Medical Imaging 2017: Physics of Medical Imaging. editor / Taly Gilat Schmidt ; Joseph Y. Lo ; Thomas G. Flohr. SPIE, 2017. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

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A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT

Abstract

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Keywords

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