Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: Observer performance study

Berkman Sahiner, Lubomir M. Hadjiiski, Heang Ping Chan, Jiazheng Shi, Philip N. Cascade, Ella A. Kazerooni, Chuan Zhou, Jun Wei, Aamer R. Chughtai, Chad Poopat, Thomas Song, Jadranka S. Nojkova, Luba Frank, Anil Attili

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

21 Scopus citations

Abstract

The purpose of this study was to evaluate the effect of computer-aided diagnosis (CAD) on radiologists' performance for the detection of lung nodules on thoracic CT scans. Our computer system was designed using an independent training set of 94 CT scans in our laboratory. The data set for the observer performance study consisted of 48 CT scans. Twenty scans were collected from patient files at the University of Michigan, and 28 scans by the Lung Imaging Database Consortium (LIDC). All scans were read by multiple experienced thoracic radiologists to determine the true nodule locations, defined as any region identified by one or more expert radiologists as containing a nodule larger than 3 mm in diameter. Eighteen CT examinations were nodule-free, while the remaining 30 CT examinations contained a total of 73 nodules having a median size of 5.5 mm (range 3.0-36.4 mm). Four other study radiologists read the CT scans first without and then with CAD, and provided likelihood of nodule ratings for suspicious regions. Two of the study radiologists were fellowship trained in cardiothoracic radiology, and two were cardiothoracic radiology fellows. Free-response receiver-operating characteristic (FROC) curves were used to compare the two reading conditions. The computer system had a sensitivity of 79% (58/73) with an average of 4.9 marks per normal scan (88/18). Jackknife alternative FROC (JAFROC) analysis indicated that the improvement with CAD was statistically significant (p=0.03).

Original languageEnglish (US)
Title of host publicationMedical Imaging 2007
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
DOIs
StatePublished - Oct 15 2007
Externally publishedYes
EventMedical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 21 2007Feb 22 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6515
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego, CA
Period2/21/072/22/07

Keywords

  • CT
  • Computer-aided diagnosis
  • Lung nodules
  • Observer performance evaluation

ASJC Scopus subject areas

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

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  • Cite this

    Sahiner, B., Hadjiiski, L. M., Chan, H. P., Shi, J., Cascade, P. N., Kazerooni, E. A., Zhou, C., Wei, J., Chughtai, A. R., Poopat, C., Song, T., Nojkova, J. S., Frank, L., & Attili, A. (2007). Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: Observer performance study. In Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment [65151D] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6515). https://doi.org/10.1117/12.709851