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The purpose of this project is to investigate if PET/MR imaging improves the accuracy in visualization and characterization of lung cancer disease, compared to PET/CT.
Lung cancer is the most frequent cancer type and the leading cause of cancer-related death worldwide. Positron emission tomography (PET) coupled with computed tomography (CT) is the standard of care for visualization and staging of lung cancer. Recent clinical introduction of hybrid PET and magnetic resonance (MR) imaging systems has shown potential to improve tumor imaging beyond the limits of PET/CT. However, knowledge about the clinical impact of this new hybrid modality is still limited.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Nuclear medicine imaging | Other | Patients undergo nuclear medicine imaging with PET/MR and PET/CT. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PET/MR | Diagnostic Test | The included patients are imaged with PET/MR as part of the research protocol. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and specificity of PET/MR vs. clinical routine PET/CT | Sensitivity and specificity of PET/MR scans will be compared with in clinical routine PET/CT examinations for lung cancer disease feature prediction. | 1-2 weeks after the initial inclusion. |
| Measure | Description | Time Frame |
|---|---|---|
| Prediction of treatment response and progression-free survival | We will investigate which PET/MR or PET/CT features are best suited as an imaging biomarker for treatment response evaluation and for progression-free survival 1 year after inclusion. | 1 year after inclusion. |
| Prediction of treatment response and progression-free survival |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Rune Sundset, MD, PhD | University Hospital of North Norway | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital of North Norway | Tromsø | 9037 | Norway |
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| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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| ID | Term |
|---|---|
| D000072078 | Positron Emission Tomography Computed Tomography |
| ID | Term |
|---|---|
| D049268 | Positron-Emission Tomography |
| D014055 | Tomography, Emission-Computed |
| D007090 | Image Interpretation, Computer-Assisted |
| D003952 | Diagnostic Imaging |
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| PET/CT | Diagnostic Test | The included patients are imaged with PET/CT as part of normal clinical routine. |
|
We will investigate which PET/MR or PET/CT features are best suited as an imaging biomarker for treatment response evaluation and for progression-free survival 2 years after inclusion. |
| 2 years after inclusion. |
| Prediction of treatment response and progression-free survival | We will investigate which PET/MR or PET/CT features are best suited as an imaging biomarker for treatment response evaluation and for progression-free survival 5 years after inclusion. | 5 years after inclusion. |
| D008171 |
| Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D014057 | Tomography, X-Ray Computed |
| D064847 | Multimodal Imaging |
| D011856 | Radiographic Image Enhancement |
| D007089 | Image Enhancement |
| D010781 | Photography |
| D011859 | Radiography |
| D014056 | Tomography, X-Ray |
| D011877 | Radionuclide Imaging |
| D014054 | Tomography |
| D003947 | Diagnostic Techniques, Radioisotope |