Radiomics for the differentiation of benign and (pre)malignant lesions in virtual CT colonography

Radiomics for the differentiation of benign and (pre)malignant lesions in virtual CT colonography - RVK

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00014828

Enrollment

650

Registered

2023-02-08

Start date

2018-08-06

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

D12.6 C18.9

Interventions

Group 1: In this retrospective, monocentric study, image data of virtual CT colonographies were analysed, which were acquired in the context of clinical routine. Written consent for scientific analysi

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Data sets with a potentially pathological finding in the VK and histopathology present.

Exclusion criteria

Exclusion criteria: - Data sets with an inconspicuous VK - Data sets with a potentially pathological finding in the VK, but without existing histopathology

Design outcomes

Primary

Measure	Time frame
Semantic/agnostic image parameters with high test-retest stability as well as high predictive value are to be determined. The reference standard is histopathology.	—

Secondary

Measure	Time frame
Potentially pathologic lesions of the colon are recorded and subdivided with respect to their image morphology.	—

Countries

Germany

Contacts

Public ContactSergio Roman Grosu

Klinikum der Universität München, Klinik und Poliklinik für Radiologie, LMU

Sergio.Grosu@med.uni-muenchen.de+4989440076642

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026