Retrospective evaluation of structured reporting and multimodal data integration in lung cancer
Recruiting
- Conditions
- C34.0Main bronchus
- Registration Number
- DRKS00028767
- Lead Sponsor
- Klinikum der Universität München, Campus Großhadern
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 1000
Inclusion Criteria
1. Histology based Diagnosis of lung cancer
2. Pulmonary lesions in F18 FDG PET/CT hybrid imaging.
3. Referral to the lung tumor centre Munich with concluding report of the center
4. Age > 18 years
5. Primary diagnosis of lung cancer; no prior treatment for lung cancer
Exclusion Criteria
1. Incomplete clinical, pathological or radiological information concerning guide-line relevant parameters
2. hybrid imaging using low-dose CT or without the use of iodine-containing contrast agent
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Impact of structured, multidisciplinary reporting and their integration for clinical decision support systems (CDSS) in the primary evaluation of lung cancer.
- Secondary Outcome Measures
Name Time Method 1. Accuracy (semi)automatic segmentations of malignant-suspect lesions in primary diagnosis of lung cancer compared to hand-crafted segmentations<br><br>2. Impact of radiomic features in F18 FDG PET/CT in prognosis of lung cancer