Automated Detection of Metastatic Bone Disease on Bone Scintigraphy Scans
NCT ID: NCT05110430
Last Updated: 2023-03-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
2365 participants
OBSERVATIONAL
2021-03-10
2021-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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BS-UKA
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.
Deep learning based detection of metastatic bone disease on bone scintigraphy scans.
The aim is to investigate whether deep learning algorithms can detect bone metastasis with high accuracy and specificity.
BS-Namur
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.
Deep learning based detection of metastatic bone disease on bone scintigraphy scans.
The aim is to investigate whether deep learning algorithms can detect bone metastasis with high accuracy and specificity.
BS-Aalborg
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.
Deep learning based detection of metastatic bone disease on bone scintigraphy scans.
The aim is to investigate whether deep learning algorithms can detect bone metastasis with high accuracy and specificity.
Interventions
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Deep learning based detection of metastatic bone disease on bone scintigraphy scans.
The aim is to investigate whether deep learning algorithms can detect bone metastasis with high accuracy and specificity.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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Aalborg University Hospital
OTHER
Centre Hospitalier Universitaire de Liege
OTHER
University Hospital, Aachen
OTHER
University of Namur
OTHER
Maastricht University
OTHER
Responsible Party
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Locations
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Maastricht University
Maastricht, Limburg, Netherlands
Countries
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References
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Ibrahim A, Vaidyanathan A, Primakov S, Belmans F, Bottari F, Refaee T, Lovinfosse P, Jadoul A, Derwael C, Hertel F, Woodruff HC, Zacho HD, Walsh S, Vos W, Occhipinti M, Hanin FX, Lambin P, Mottaghy FM, Hustinx R. Deep learning based identification of bone scintigraphies containing metastatic bone disease foci. Cancer Imaging. 2023 Jan 25;23(1):12. doi: 10.1186/s40644-023-00524-3.
Other Identifiers
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MBDDL
Identifier Type: -
Identifier Source: org_study_id
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