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BrainApp: Exploring the use of a mobile app in adult patients with primary brain tumours

Feasibility, acceptability and relationship to standard measures of near-patient sensing through a mobile app and machine learning - an observational non-randomised phase II trial in patients with primary brain tumours

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN41791801
Enrollment
10000
Registered
2023-10-03
Start date
2022-09-15
Completion date
Unknown
Last updated
2023-11-13

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

Conditions

Primary brain tumours Cancer Malignant neoplasm of brain

Interventions

This is a phase II non-randomised observational study recruiting primary brain tumour (BT) patients and healthy volunteers. It is aimed at assessing the performance of a machine learning classifier de
along with electronic case report forms (eCRFs) and brain scan images. Data from Cohort A will be obtained via the BRIAN mobile application, eCRFs and brain scan images
whereas data from Cohort B will be obtained solely via BRIAN. BRIAN is a mobile application developed by BTC that allows individuals to anonymously record their experience living with a BT and share t

Sponsors

Imperial College Healthcare NHS Trust
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Age 16 and above 2. Fluent English speakers 3. Willing and able to undertake study-specific measures 4. Able to provide either electronic or written consent 5. Formally diagnosed with a primary brain tumour (either based on histology or assessment of imaging at a neuro-oncology MDT) or healthy volunteers 6. Brain tumour patients with a performance status of 0, 1, or 2.

Exclusion criteria

Exclusion criteria: 1. Subjects lacking capacity to consent based on patient’s doctor’s opinion 2. Diagnosis of secondary brain tumour (i.e cancer that starts somewhere in the body and spreads to the brain) 3. Refusal to participate 4. Subjects with performance status of 3 or more 5. Subject not in possession of personal mobile device compatible with the BRIAN app

Design outcomes

Primary

MeasureTime frame
Diagnostic performance of a machine learning model, measured as accuracy, recall, precision, and F1 score measured every 6 months

Secondary

MeasureTime frame
1. Compliance in micro-challenge use, measured as one completed entry in the BRIAN app per month per subject 2. Relationship between micro-challenge scores and participants’ clinical progression and treatment every 6 months 3. Quality of life scores from the EORTC QLQ-C30 and BN20 questionnaires every 6 months

Countries

England, United Kingdom

Outcome results

None listed

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