This poster is published under an
open license. Please read the
disclaimer for further details.
Keywords:
Quality assurance, Screening, Computer Applications-Detection, diagnosis, CAD, CT, Lung
Authors:
J. C. Marasinghe1, M. Ohkubo1, A. yoshida1, A. Kayugawa1, K. Murao2, T. Matsumoto3, S. Niizuma1, S. Sone 4, S. Wada1; 1Niigata/JP, 2Tokyo/JP, 3Chiba/JP, 4Nagano/JP
DOI:
10.1594/ecr2015/C-1125
Aims and objectives
Computer-aided detection/diagnosis (CAD) is increasingly used in clinical practice.
CAD systems are useful for decision making in detection and interpretation of diseases by clinicians.
Therefore,
quality assurance (QA) for CAD has a key role in clinics and it helps end users to make aware of changes in CAD performance both due to intentional or unintentional causes.
However,
there are no QA requirements for CAD in clinical use at present.
Need of QA for CAD systems has identified and published by CAD subcommittee of American Association of Physicists in Medicine (AAPM) as recommended general QA guidelines common for all CAD systems.[1,2] This lack of QA has led to difficulty in the comparison of available CAD system and to understand the CAD performance variation under different clinical practices.
Purpose of this study is to propose a QA protocol feasible with any scan/reconstruction settings by applying point spread function (PSF)-based virtual nodule set as a reference data set for lung cancer CT screening CAD systems.
Proposed reference nodule set was applied on two different clinical datasets and the performance of a lung cancer CT screening CAD system was assessed.