C34.0
Conditions
Interventions
Group 1: Retrospective analysis of the time period 2013-2022: patients with proven lung cancer who were seen by the lung tumor centre Munich and who have a complete, guideline-adherent data set on ret
Sponsors
Klinikum der Universität München, Campus Großhadern
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
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
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Impact of structured, multidisciplinary reporting and their integration for clinical decision support systems (CDSS) in the primary evaluation of lung cancer. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Accuracy (semi)automatic segmentations of malignant-suspect lesions in primary diagnosis of lung cancer compared to hand-crafted segmentations 2. Impact of radiomic features in F18 FDG PET/CT in prognosis of lung cancer | — |
Countries
Germany
Contacts
Public ContactMaurice Heimer
Klinikum der Universität München
Outcome results
None listed