Diseases that indicate chest or breast X-ray imaging
Conditions
Interventions
Group 1: Patients undergoing X-ray imaging of the chest or breast. X-ray images of the thorax and breast are subjected to automated, software-based diagnostic support and purely human diagnostics in v
Sponsors
Unversitätsklinikum Freiburg, Klinik für Diagnostische und Interventionelle Radiologie
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Retrospective inclusion of patients who have received conventional X-ray imaging of the chest or breast since January 1st, 2015.
Exclusion criteria
Exclusion criteria: A further specific patient exclusion is not planned in order to prevent falsification of the analysis for patient subgroups.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic accuracy of the LUNIT software compared to human reading. After annotation of all image data, this is evaluated using the following statistical metrics: receiver operating characteristic curves; sensitivity, and specificity. | — |
Secondary
| Measure | Time frame |
|---|---|
| After completion of the software-supported reporting, the rate of false-positive and false-negative reports. | — |
Countries
Germany
Contacts
Public ContactJakob Weiß
Unversitätsklinikum Freiburg, Klinik für Diagnostische und Interventionelle Radiologie
Outcome results
None listed