1. Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study
- Author
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Jane P. Ko, Daniel Moses, Carol L. Novak, William Moore, Ioannis Vlahos, Stanley Lu, Nicole Abinanti, Jonathan Stoeckel, and David P. Naidich
- Subjects
Thorax ,medicine.medical_specialty ,Nodule detection ,Community level ,business.industry ,Early detection ,CAD ,General Medicine ,Computer-aided diagnosis ,Ct scanners ,Medicine ,Ct technique ,cardiovascular diseases ,Radiology ,business ,Nuclear medicine - Abstract
Early detection of lung nodules is an important clinical indication for obtaining routine CT studies of the thorax. To date, research has focused on the sensitivity of computer-aided diagnosis (CAD) compared with expert chest radiologists typically using data obtained from single detector CT scanners. The present study focuses on the use of CAD as a second reader supplementing four nonexpert “community level” radiologists using state-of-the-art multidetector high resolution data sets. Evaluations of 18 cases with a total of 87 nodules (average 4.8 per case) were subsequently validated by a panel of two expert dedicated chest radiologists. Only 21% of nodules were identified by all four readers; 17% were identified only by CAD. The mean sensitivity of readers before CAD was 49% while following CAD this improved to 72% (p
- Published
- 2004