Paper
4 May 2004 Methods of evaluating the effectiveness of double-checking in interpreting mass screening images
Tohru Matsumoto, Akira Furukawa, Kikuo Machida, Norinari Honda, Tomoho Maeda, Mitsuomi Matsumoto, Yuichi Fujino, Shinichi Wada, Shusuke Sone, Kiminori Suzuki, Masahiro Endo
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Abstract
In this paper we present two methods of evaluating the effectiveness of double check (by two radiologists or by a CAD system and a radiologist): One method uses ROC analysis and the other uses the phi correlation coefficient (φ). We used the first method to evaluate the effectiveness of two radiologists conducting double check through discussion (i.e. the radiologists confer; conference system). We used the second method to evaluate the effectiveness of double check in which Reader 2 makes a final assessment by referring to the assessment of Reader 1 (reference system). It is suggested that double check conducted by two radiologists through discussion may not be so effective; however, double check in which Reader 2 makes a final assessment by referring to the assessment or Reader 1 may be very effective. In addition, we discuss problems that may occur in relation to Reader 2 deciding whether to adopt the assessment of Reader 1, and practical models of double check by a CAD system and a radiologist. Continued research is necessary to establish a double check system that improves diagnostic accuracy in practical situations, i.e. it is unknown if assessments are correct.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tohru Matsumoto, Akira Furukawa, Kikuo Machida, Norinari Honda, Tomoho Maeda, Mitsuomi Matsumoto, Yuichi Fujino, Shinichi Wada, Shusuke Sone, Kiminori Suzuki, and Masahiro Endo "Methods of evaluating the effectiveness of double-checking in interpreting mass screening images", Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); https://doi.org/10.1117/12.536304
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Cited by 1 scholarly publication.
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KEYWORDS
CAD systems

Solid modeling

Computed tomography

Computer aided diagnosis and therapy

Lung cancer

Diagnostics

Cancer

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