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Artificial intelligence assisting physicians in detection of focal liver lesions from real-time ultrasonography

Artificial intelligence assisting physicians in detection of focal liver lesions from real-time ultrasonography

Status
Active, not recruiting
Phases
Phase 2
Study type
Interventional
Source
TCTR
Registry ID
TCTR20201230003
Enrollment
618
Registered
2020-12-30
Start date
2021-03-22
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

hepatocellular carcinoma liver cyst hemangioma focal fatty sparing focal fatty infiltration hepatocellular carcinoma focal liver lesion ultrasonography artificial intelligence deep learning convolutional neural network computer aided screening and surveillance

Interventions

Non-expert operators will perform ultrasound examinations with AI assistance.,Non-expert operators will perform ultrasound examinations without AI assistance.,Expert operators will perform ultrasound
Experimental Other,No Intervention Other,Experimental Other,No Intervention Other
Non-expert operators with AI assistance,Non-expert operators without AI assistance,Expert operators with AI assistance,Expert operators without AI assistance

Sponsors

Chulalongkorn University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients who meet diagnostic criteria of the following focal liver lesions: 1. Hepatocellular carcinoma (HCC). Pathology results will be considered first. If there is no pathology result, CT and/or MRI results within 3 months before or after the index ultrasound date will be considered. 2. Liver cysts. Simple cysts can be diagnosed solely by ultrasound. However, diagnosis of complicated cysts requires confirmatory CT and/or MRI. Additionally, size of the lesion must also be stable during at least 2-year interval. 3. Hemangioma. CT/MRI results will be used as gold standard for diagnosis. If there is no CT/MRI, typical hemangioma (round homogeneous bright hyperechoic lesion on ultrasound) can be diagnosed by follow-up criteria, i.e., at least 2 ultrasound studies demonstrating size stability during at least 2-year interval. 4. Focal fatty sparing. CT/MRI will be considered first. If there is no CT/MRI, ultrasound diagnosis will be accepted only if the lesion has typical shape (geographic-shaped homogeneous hypoechoic lesion), and is located in typical area of the liver (peri-portal or peri-gallbladder). Size of the lesion must also be stable during at least 2-year interval. 5. Focal fatty infiltration. CT/MRI will be considered first. If there is no CT/MRI, ultrasound diagnosis will be accepted only if the lesion has typical shape (geographic-shaped homogeneous hyperechoic lesion), and is located in typical area of the liver (peri-portal or peri-gallbladder). Size of the lesion must also be stable during at least 2-year interval. Patients without focal liver lesions, by one of the following criteria: 1. has CT/MRI within 6 months before or after ultrasound performing in the study arms, confirming that there is no focal liver lesion. 2. At least 2 ultrasound studies demonstrating no focal liver lesion, with at least one ultrasound study performed within 6 months before or after ultrasound performing in the study arms.

Exclusion criteria

Exclusion criteria: 1. Patients with polycystic liver disease 2. HCCs previously treated by locoregional methods

Design outcomes

Primary

MeasureTime frame
detection rate of focal liver lesions after enrollment is completed detection rate

Secondary

MeasureTime frame
false positive detections of focal liver lesions after enrollment is completed false positive detections,detection rates stratified by diagnoses of focal liver lesions after enrollment is completed detection rate

Countries

Thailand

Contacts

Public ContactRoongruedee Chaiteerakij

Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University

roon.chaiteerakij@chula.md022564000

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026