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Utility of artificial intelligence in identifying liver cancer

MR LI-RADS (Artificial intelligence models for MR LI-RADS score computation) - MR LI-RADS

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/09/046045
Enrollment
150
Registered
2022-09-29
Start date
Unknown
Completion date
Unknown
Last updated
2022-10-17

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

Conditions

Health Condition 1: K768- Other specified diseases of liver

Interventions

None listed

Sponsors

Philips healthcare India
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Focal liver lesion MRI with dynamic contrast-enhanced MR available

Exclusion criteria

Exclusion criteria: No Focal liver lesion MRI not available

Design outcomes

Primary

MeasureTime frame
Annotation of the liver lesions manually on dynamic contrast enhanced MR imagesTimepoint: 6 months—

Secondary

MeasureTime frame
Designing AI tool for MR LI-RADS score computation from segmented liver lesions using image processingTimepoint: 1.4 years—

Countries

India

Contacts

Public ContactRajagopal Kadavigere Venkatachalaiah

Kasturba Medical College, Manipal

rajarad@gmail.com9448158901

Outcome results

None listed

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