Machine-Learning assisted supramarginal resection for brain tumors

Machine-Learning assisted supramarginal resection for brain tumors - MARS

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00035748

Enrollment

150

Registered

2024-12-16

Start date

2024-02-01

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

C71.9

Interventions

Group 1: Patients suffering from High Grade Glioma

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: High Grade Glioma

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

Measure	Time frame
Prediction performance (Area under the curve) per voxel: Tumor (yes/no)	—

Secondary

Measure	Time frame
Prediction performance (Area under the curve) per voxel: Molecular parameters (amplified/non-amplified; loss/balanced; methylated/unmethylated)	—

Countries

Germany

Contacts

Public ContactJulia Onken

Charité Berlin Klinik für Neurochirurgie

julia.onken@charite.de030450660001

Outcome results

None listed

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