Automated Detection of Metastatic Bone Disease on Bone Scintigraphy Scans

Maastricht University

Status: Completed

Conditions: Metastatic Bone Tumor

Treatments: Other: Deep learning based detection of metastatic bone disease on bone scintigraphy scans.

Study type: Observational

Funder types: Other

Identifiers

NCT05110430

MBDDL

Details and patient eligibility

About

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.

Enrollment: 2,365 patients

Sex: All

Volunteers: No Healthy Volunteers

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

Trial design

2,365 participants in 3 patient groups

BS-UKA

Description:

Patients who underwent bone scintigraphy scanning between 2010 and 2018 at RTWH Aachen university hospital, and had a bone scan report that indicates the presence or absence of metastatic bone disease.

Treatment:

Other: Deep learning based detection of metastatic bone disease on bone scintigraphy scans.

BS-Namur

Description:

Patients who underwent bone scintigraphy scanning between 2010 and 2018 at Namur university hospital, and had a bone scan report that indicates the presence or absence of metastatic bone disease.

Treatment:

Other: Deep learning based detection of metastatic bone disease on bone scintigraphy scans.

BS-Aalborg

Description:

Patients who underwent bone scintigraphy scanning between 2010 and 2018 at Aalborg university hospital, and had a bone scan report that indicates the presence or absence of metastatic bone disease.

Treatment:

Other: Deep learning based detection of metastatic bone disease on bone scintigraphy scans.