Itsuko Okuda MD, Presenter: Nothing to Disclose

Yukinori Okada MD, Abstract Co-Author: Nothing to Disclose

Yasuyuki Kojima, Abstract Co-Author: Nothing to Disclose

Yasuo Nakajima MD, Abstract Co-Author: Nothing to Disclose

1. To review a bone scan. 2. To present the principle, techniques and methodology of quantitative bone scan using a CAD System. 3. To discuss usefulnessof the bone scan indexes for evaluation of bone metastases from breast cancer, quantitatively. 4. To emphasize the clinical impact of quantitative bone metastases analysis, and the prediction of the prognosis for patients with bone metastases from breast cancer using a CAD System.

1. Review of bone scan 2. Principle, techniques and characteristic of bone metastases analysis using a CAD system 3. Quantitative bone metastases analysis by three kinds of the indexes Artificial neural network (ANN) value Bone scan index (BSI) Number of hot spots 4. Brief demonstration of bone metastases from breast cancer and their indexes 5. Relationship between the indexes and the prediction of the prognosis of the clinical cases 6. Effective utilizationof CAD systemand efficiency ininterpretation for radiologists 7. Summary: We describe quantitative bone scan using a CAD System and provide examples of bone metastases from breast cancer. Knowledge of variations in imaging features of the bone scans and the indexes can help radiologists to make better diagnoses by contributing accurate diagnosis of bone metastases from breast cancer.  

http://abstract.rsna.org/uploads/2014/14000744/14000744_dvkl.pdf

Okuda, I, Okada, Y, Kojima, Y, Nakajima, Y, Bone Metastases Analysis Using a Computer-Assisted Diagnosis (CAD) System for Bone Scan: Could Quantitative Software Contribute to Helping with Diagnosis, and Is It Useful in the Prediction of the Prognosis?  .  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14000744.html