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 Johnson, Megan J. Hora, Shane Dirks, Baiyu Chen, Kyle McMillan, Shuai Leng, Joel Garland Fletcher, Cynthia H McCollough

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationMedical Imaging 2017
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
Volume10132
ISBN (Electronic)9781510607095
DOIs
StatePublished - 2017
EventMedical Imaging 2017: Physics of Medical Imaging - Orlando, United States
Duration: Feb 13 2017Feb 16 2017

Other

OtherMedical Imaging 2017: Physics of Medical Imaging
CountryUnited States
CityOrlando
Period2/13/172/16/17

Fingerprint

nodules
readers
Early Detection of Cancer
lungs
insertion
Lung Neoplasms
Screening
screening
projection
cancer
Clinical Trials
dosage
Lung
Radiation
Image quality
Dosimetry
optimization
lesions
flexibility
simulation

Keywords

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

ASJC Scopus subject areas

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

Cite this

Yu, L., Hu, Q., Koo, C. W., Takahashi, E. A., Levin, D. L., Johnson, T., ... McCollough, C. H. (2017). A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. In Medical Imaging 2017: Physics of Medical Imaging (Vol. 10132). [101321R] 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; Takahashi, Edwin A.; Levin, David L.; Johnson, Tucker; Hora, Megan J.; Dirks, Shane; Chen, Baiyu; McMillan, Kyle; Leng, Shuai; Fletcher, Joel Garland; McCollough, Cynthia H.

Medical Imaging 2017: Physics of Medical Imaging. Vol. 10132 SPIE, 2017. 101321R.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yu, L, Hu, Q, Koo, CW, Takahashi, EA, Levin, DL, Johnson, T, 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 Medical Imaging 2017: Physics of Medical Imaging. vol. 10132, 101321R, 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 T et al. A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT. In Medical Imaging 2017: Physics of Medical Imaging. Vol. 10132. SPIE. 2017. 101321R https://doi.org/10.1117/12.2255593
Yu, Lifeng ; Hu, Qiyuan ; Koo, Chi Wan ; Takahashi, Edwin A. ; Levin, David L. ; Johnson, Tucker ; Hora, Megan J. ; Dirks, Shane ; Chen, Baiyu ; McMillan, Kyle ; Leng, Shuai ; Fletcher, Joel Garland ; McCollough, Cynthia H. / 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. Vol. 10132 SPIE, 2017.
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