Machine learning using combined positron emission tomography and computed tomography for patients with severe brain injury

PET/CT and Machine Learning in Severe Brain Injury: A Single-Center Retrospective Study - SBI PET/CT-ML Study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000061535

Enrollment

420

Registered

2026-05-12

Start date

2026-05-12

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Brain injury

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients with traumatic brain injury who underwent PET/CT imaging at our institution Imaging data and clinical records available for analysis

Exclusion criteria

Exclusion criteria: Cases with missing data or images unsuitable for analysis due to artifacts Cases without ethical approval/consent for retrospective use

Design outcomes

Primary

Measure	Time frame
Assessment of cerebral glucose metabolism patterns on PET/CT in patients with traumatic brain injury	—

Countries

Japan

Contacts

Public ContactYasuhiro Omura

Rehabilitation Center for Traumatic Apallics Chiba Medical affairs division

y-oomura@chiba-ryougo.jp0432770061

Outcome results