Presence of x-ray in pediatric/child surgical context
Conditions
Interventions
Group 1: - Identification of specific patient cohorts and suitable control cohorts and/or clinically representative cohorts in a circumscribed retrospective period
- Export and anonymisation of the u
Sponsors
Klinik und Poliklinik für Radiologie
Eligibility
Sex/Gender
All
Age
No minimum to 18 Years
Inclusion criteria
Inclusion criteria: 1. paediatric patient collective, i.e. all patients who are cared for by a paediatric or paediatric surgery/orthopaedic department of the LMU Clinic, usually age <= 18 years with exceptions (e.g. adult patients who are cared for by the CF outpatient clinic) 2. availability of X-ray images 3. the usual quality criteria of X-ray technology apply (e.g. pathology shown, image analysable)
Exclusion criteria
Exclusion criteria: 1. non-paediatric population (as described above).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Determination of algorithm- and pathology-specific ROC curves, quantification of diagnostic accuracy by means of AUC in the sense of external validation. 2. If no ROC analyses are possible (e.g. if no pathology-specific scores can be issued and only a binary yes/no classification takes place), the evaluation is carried out using standard metrics such as sensitivity / specificity / accuracy etc. 3. Comparison of the diagnostic accuracy of the algorithms used with the sensitivity / specificity achieved by diagnosticians. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Calculation of inter-/intrareader reliability and correlation metrics between individual readers/reader groups in reading studies (e.g. radiologists vs. paediatric surgeons/paediatricians). 2. Surgical point optimisation on ROC curves (e.g. using the Youden J index). | — |
Countries
Germany
Contacts
Public ContactJan Rudolph
Klinik und Poliklinik für Radiologie, LMU Klinikum
Outcome results
None listed