Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses

Autor: Marc B. I. Lobbes, Nico Karssemeijer, Mechli W. Imhof-Tas, David Beijerinck, Ruud M. Pijnappel, Maurice Samulski, Carla Boetes, Rianne Hupse, Ard den Heeten
Přispěvatelé: Cancer Center Amsterdam, Amsterdam Public Health, Biomedical Engineering and Physics, Radiology and Nuclear Medicine, MUMC+: DA BV Medisch Specialisten Radiologie (9), Beeldvorming, RS: GROW - School for Oncology and Reproduction
Rok vydání: 2012
Předmět:
Zdroj: European radiology, 23(1), 93-100. Springer Verlag
European Radiology, 23, 93-100
European Radiology, 23, pp. 93-100
European Radiology, 23(1), 93-100. Springer, Cham
ISSN: 1432-1084
0938-7994
Popis: Item does not contain fulltext OBJECTIVES: We developed a computer-aided detection (CAD) system aimed at decision support for detection of malignant masses and architectural distortions in mammograms. The effect of this system on radiologists' performance depends strongly on its standalone performance. The purpose of this study was to compare the standalone performance of this CAD system to that of radiologists. METHODS: In a retrospective study, nine certified screening radiologists and three residents read 200 digital screening mammograms without the use of CAD. Performances of the individual readers and of CAD were computed as the true-positive fraction (TPF) at a false-positive fraction of 0.05 and 0.2. Differences were analysed using an independent one-sample t-test. RESULTS: At a false-positive fraction of 0.05, the performance of CAD (TPF?=?0.487) was similar to that of the certified screening radiologists (TPF?=?0.518, P?=?0.17). At a false-positive fraction of 0.2, CAD performance (TPF?=?0.620) was significantly lower than the radiologist performance (TPF?=?0.736, P
Databáze: OpenAIRE