Automated Detection of Metastatic Bone Disease on Bone Scintigraphy Scans

Metastatic Bone Tumor Clinical Trial

Official title:
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.

Status Completed

Clinical Trial Summary

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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT05110430
Study type	Observational
Source	Maastricht University
Contact
Status	Completed
Phase
Start date	March 10, 2021
Completion date	December 31, 2021

View Details

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