Automated Detection of Metastatic Bone Disease on Bone Scintigraphy Scans

In Silico Clinical Trial Comparing the Reading Accuracy of Doctors and a Deep Learning Algorithm for Detection of Metastatic Bone Disease on Bone Scintigraphy Scans.

Bone scintigraphy scans are two dimensional medical images that are used heavily in nuclear medicine. The scans detect changes in bone metabolism with high sensitivity, yet it lacks the specificity to underlying causes. Therefore, further imaging would be required to confirm the underlying cause. The aim of this study is to investigate whether deep learning can improve clinical decision based on bone scintigraphy scans.

Inclusion Criteria:

• Patients who underwent a bone scintigraphy scan that is available with the radiologic report between 2010-2018

Exclusion Criteria:

• The lack of a bone scan, or corresponding radiologic report