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Artificial Intelligence RIsk Stratification for Skeletal-Related Events

Artificial Intelligence RIsk Stratification for Skeletal-Related Events

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00040022
Enrollment
100
Registered
2026-04-22
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

C61

Interventions

Group 1: Metastatic Hormone-Sensitive Prostate Cancer (mHSPC) patients routinely undergoing CT-based staging

Sponsors

Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Histologically and radiographically confirmed mHSPC Availability of Digital Imaging and Communications in Medicine (DICOM) data of an initial baseline CT scan for staging

Exclusion criteria

Exclusion criteria: Prior or concurrent treatment with Bisphosphonates or RANKL inhibitors (Denosumab) for mHSPC Poor quality of initial CT imaging precluding automated analysis by the AI tool Lack of traceability of SRE data in the patient file

Design outcomes

Primary

MeasureTime frame
Time from mHSPC diagnosis (date of staging scan/start of ADT) to the date of the first occurrence of an SRE (pathological fracture, spinal cord compression, need for bone radiotherapy/surgery)

Secondary

MeasureTime frame
Technical success rate of automated image processing by the AI tool Descriptive analysis of SRE incidence within the cohort over the follow-up period

Countries

Germany

Contacts

Public ContactThomas Büttner

Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn

Thomas.Buettner@ukbonn.de+49 228 287 14184

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 10, 2026