Medicine and Health Sciences Commons^™

A Real-Time Prostate Cancer Detection Technique Using Needle Insertion Force And Patient-Specific Criteria During Percutaneous Intervention, Kaiguo Yan, T. Podder, L. Li, J. Joseph, D. R. Rubens, E. M. Messing, L. Liao, Y. Yu

Department of Radiation Oncology Faculty Papers

In this article, the authors present a novel real-time cancer detection technique by using needle insertion forces in conjunction with patient-specific criteria during percutaneous interventions. Needle insertion experiments and pathological analysis were performed for developing a computer-aided detection (CAD) model. Backward stepwise regression method was performed to identify the statistically significant patient-specific factors. A baseline force model was then developed using these significant factors. The threshold force model that estimated the lower bound of the cancerous tissue forces was formulated by adding an adjustable classifier to the baseline force model. Trade-off between sensitivity and specificity was obtained by varying the …