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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TERMINATED
NA
35 participants
INTERVENTIONAL
2018-12-12
2022-12-31
Brief Summary
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Detailed Description
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This project aims to investigate how PET/MR may improve the diagnosis and treatment of lung cancer disease, compared to PET/CT: PET/MR may allow early detection of brain and liver metastases, which strongly affects treatment outcome and survival; predictive models based on machine learning may combine image derived biomarkers from PET/MR, histology and health record data, to automatically visualize and characterize the tumor, facilitating computer aided diagnosis and personalized radiotherapy treatment.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Nuclear medicine imaging
Patients undergo nuclear medicine imaging with PET/MR and PET/CT.
PET/MR
The included patients are imaged with PET/MR as part of the research protocol.
PET/CT
The included patients are imaged with PET/CT as part of normal clinical routine.
Interventions
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PET/MR
The included patients are imaged with PET/MR as part of the research protocol.
PET/CT
The included patients are imaged with PET/CT as part of normal clinical routine.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* MR incompatible objects, e.g. metal implants, inside the body
* Intolerance to gadolinium-based contrast agents, e.g. severe renal disease (GFR\<30).
* Unable to give written consent.
ALL
No
Sponsors
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University Hospital of North Norway
OTHER
Responsible Party
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Principal Investigators
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Rune Sundset, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Hospital of North Norway
Locations
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University Hospital of North Norway
Tromsø, , Norway
Countries
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Other Identifiers
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2017/1952
Identifier Type: -
Identifier Source: org_study_id
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