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Enrolling by invitationNCT07319299Updated Jan 6, 2026

STOP HCC-GAAD-APAC-Thailand

An interventional study of GAAD score in Hepatecellular Carcinoma, Cirrhosis and HBV Infection, sponsored by Mahidol University. Enrolling by invitation at 1 site in Thailand. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-01-06.

Sponsored by Mahidol University · Not applicable, Interventional, and Screening

From the registry’s dates

  • Registered 9 months after the study started (first participant enrolled Feb 2025, registered Nov 2025).
Phase
Not applicable
Study type
Interventional
Enrollment
2,100
Allocation
Not applicable
Ages
18 Years and older
Sex
All
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Study summary

Hepatocellular carcinoma (HCC) surveillance is frequently underutilized, and currently available biomarkers, such as alpha-fetoprotein (AFP), demonstrate suboptimal diagnostic performance. This prospective study aims to evaluate a simplified multivariate index, the GAAD score-comprising gender, age, alpha-fetoprotein (AFP), and protein induced by vitamin K absence or antagonist-II (PIVKA-II)-for its ability to improve the detection of hepatocellular carcinoma in patients with chronic liver disease.

The study hypothesizes that incorporation of the GAAD score into standard HCC surveillance strategies will improve diagnostic performance compared with existing surveillance modalities alone and may provide evidence to support its inclusion in future clinical practice guidelines.

Read the detailed description

Surveillance and early detection of hepatocellular carcinoma (HCC) increase the likelihood of potentially curative treatment. However, HCC surveillance remains substantially underutilized, even in countries with adequate healthcare resources. Early-stage HCC can be treated with curative intent using local ablation, surgical resection, or liver transplantation.

The role of serum alpha-fetoprotein (AFP) in HCC surveillance varies across international guidelines. AFP is recommended for surveillance by the Asian Pacific Association for the Study of the Liver (APASL), considered optional by the American Association for the Study of Liver Diseases (AASLD), and not recommended by the European Association for the Study of the Liver (EASL). Similar considerations have informed recommendations for combined use of AFP with ultrasound (US) in HCC surveillance by the World Health Organization (WHO) Guidelines for the Prevention, Care and Treatment of Viral Hepatitis (references 1-4).

AFP has demonstrated suboptimal performance as a serologic surveillance marker for HCC. Serum AFP levels may fluctuate in patients with cirrhosis due to hepatitis B virus (HBV) or hepatitis C virus (HCV) activity, exacerbations of underlying liver disease, or the development of HCC, thereby limiting its diagnostic accuracy.

Recently, the GALAD score-a multivariable model incorporating gender, age, AFP-L3, AFP, and protein induced by vitamin K absence or antagonist-II (PIVKA-II)-has been proposed as an alternative approach to improve HCC detection and has demonstrated strong diagnostic performance in patients with cirrhotic HCC. A simplified version of this model, the GAAD score (Roche Diagnostics International Ltd., Rotkreuz, Switzerland), which includes gender, age, AFP, and PIVKA-II, has been shown to achieve comparable diagnostic performance in preliminary analyses (Piratvisuth et al., 2023, submitted).

However, the existing evidence supporting the use of the GALAD and GAAD scores is primarily derived from retrospective and/or case-control studies. Prospective validation in real-world surveillance settings remains limited. This study is therefore designed to prospectively evaluate the diagnostic performance of the GAAD score, alone and in combination with standard surveillance modalities, in patients with chronic liver disease undergoing routine HCC surveillance.

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Conditions studied

  • Hepatecellular Carcinoma
  • Cirrhosis
  • HBV Infection

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03

In context

Fibrosis

3,255 studies on the registry are indexed under Fibrosis; 466 are open to participants now.

This study's planned enrollment of 2,100 is above the median of 50 across 2,130 interventional studies indexed under Fibrosis.

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Lead sponsor

Mahidol University is the lead sponsor of 730 studies on the registry; 118 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Adults with chronic liver disease who have an indication for hepatocellular carcinoma (HCC) surveillance, including one or more of the following:
  • Liver cirrhosis of any etiology (e.g., chronic hepatitis B virus [HBV], chronic hepatitis C virus [HCV], metabolic dysfunction-associated steatohepatitis [MASH], or alcohol-related liver disease [ALD])
  • Non-cirrhotic chronic liver disease (e.g., HCV, MASH, or ALD) with evidence of stage F3 fibrosis
  • Chronic HBV infection with a clinical diagnosis of non-cirrhotic liver disease

Exclusion criteria

Exclusion Criteria:

  • Diagnosis of any active malignancy other than non-melanoma skin cancer
  • History of previously diagnosed malignancy, including prior hepatocellular carcinoma
  • Life expectancy of less than 2 years
  • Use of vitamin K antagonists within 1 week prior to enrollment
  • Pregnant or breastfeeding women
  • Estimated glomerular filtration rate (GFR) \< 60 mL/min/1.73 m²
  • Significant hepatic decompensation or Child-Pugh class C liver disease
  • Unwillingness or inability to undergo computed tomography (CT) or magnetic resonance imaging (MRI)
  • Unwillingness or inability to provide informed consent or to participate in the study
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Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
2,100 participants (estimated)

Study arms

  • Other
    GAAD Score

    All enrolled participants will undergo standard hepatocellular carcinoma (HCC) surveillance consisting of blood sampling and abdominal ultrasound performed every 6 months for a total follow-up period of 24 months. Blood samples will be analyzed for serum alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II) to calculate the GAAD score, a multivariable index incorporating gender, age, AFP, and PIVKA-II. A GAAD score ≥ 2.57 will trigger a recall procedure, defined as diagnostic evaluation with multiphasic contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) of the liver. This recall procedure is conducted in addition to standard surveillance recall criteria, which include detection of a suspicious hepatic lesion measuring ≥ 1 cm on ultrasound or elevated or rising serum AFP levels (≥ 20 ng/mL).

    Diagnostic Test: GAAD score

Interventions

  • Diagnostic testGAAD score

    All enrolled participants will undergo standard hepatocellular carcinoma (HCC) surveillance, consisting of blood sampling and abdominal ultrasound performed every 6 months for a total follow-up period of 24 months. Blood samples will be analyzed for serum alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II) to calculate the GAAD score, a multivariable index incorporating gender, age, AFP, and PIVKA-II. A GAAD score of ≥ 2.57 will trigger a recall procedure, defined as further diagnostic evaluation using multiphasic contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) of the liver. This recall procedure is performed in addition to standard surveillance recall criteria, which include detection of a suspicious hepatic lesion measuring ≥ 1 cm on ultrasound or elevated or rising serum AFP levels (≥ 20 ng/mL).

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What researchers measure

Primary outcomes

  1. True Positive Rate (Sensitivity) of Ultrasound, AFP, and GAAD Score as Standalone Surveillance Modalities

    To evaluate the true positive rate (sensitivity) of Ultrasound, serum alpha-fetoprotein (AFP), and the GAAD score when used individually for hepatocellular carcinoma (HCC) surveillance. Sensitivity will be calculated for each modality separately by comparing surveillance results with the reference standard diagnosis of HCC. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  2. False Positive Rate of Ultrasound, AFP, and GAAD Score as Standalone Surveillance Modalities

    To evaluate the false positive rate of Ultrasound, serum AFP, and the GAAD score when used individually for HCC surveillance. The false positive rate will be calculated for each modality separately based on surveillance results compared with the reference standard diagnosis. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  3. True Positive Rate (Sensitivity) of Combined Ultrasound + GAAD Score for HCC Surveillance

    To evaluate the true positive rate (sensitivity) of the combined Ultrasound and GAAD score strategy for HCC surveillance. A positive surveillance result will be defined according to the prespecified combination criteria (e.g., either test positive or both tests positive, as defined in the protocol). Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  4. False Positive Rate of Combined Ultrasound + GAAD Score for HCC Surveillance

    To evaluate the false positive rate of the combined Ultrasound and GAAD score strategy for HCC surveillance, using the reference standard diagnosis of HCC. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  5. True Positive Rate (Sensitivity) of Combined Ultrasound + AFP for HCC Surveillance

    To evaluate the true positive rate (sensitivity) of the combined Ultrasound and serum AFP strategy for HCC surveillance, based on predefined combination criteria. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  6. False Positive Rate of Combined Ultrasound + AFP for HCC Surveillance

    To evaluate the false positive rate of the combined Ultrasound and serum AFP strategy for HCC surveillance, compared with the reference standard diagnosis of HCC. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

Secondary outcomes

  1. Area Under the Receiver Operating Characteristic Curve (AUC) of GAAD Compared With Ultrasound, AFP, and PIVKA-II

    o compare the overall discriminative ability of the GAAD algorithm with Ultrasound, serum AFP, and serum PIVKA-II for the detection of hepatocellular carcinoma (HCC). Performance will be assessed using the area under the receiver operating characteristic curve (AUC), stratified by HCC stage and underlying liver disease etiology. Unit of Measure: AUC (unitless)

    Time frame: Over 24 months of patient follow-up

  2. Sensitivity and Specificity of GAAD Compared With Ultrasound, AFP, and PIVKA-II

    To compare the sensitivity and specificity of the GAAD algorithm with Ultrasound, serum AFP, and serum PIVKA-II for HCC surveillance. Sensitivity and specificity will be calculated separately for each modality and stratified by HCC stage and etiology. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  3. Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of GAAD Compared With Ultrasound, AFP, and PIVKA-II

    To compare the positive predictive value (PPV) and negative predictive value (NPV) of the GAAD algorithm with Ultrasound, serum AFP, and serum PIVKA-II for HCC surveillance, stratified by HCC stage and etiology. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  4. Area Under the Receiver Operating Characteristic Curve (AUC) of Combined Ultrasound + AFP

    To evaluate the discriminative performance of the combined Ultrasound and serum AFP strategy for HCC surveillance using the area under the receiver operating characteristic curve (AUC), stratified by HCC stage and etiology. Unit of Measure: AUC (unitless)

    Time frame: Over 24 months of patient follow-up

  5. Sensitivity and Specificity of Combined Ultrasound + AFP

    To evaluate the sensitivity and specificity of the combined Ultrasound and serum AFP strategy for HCC surveillance, stratified by HCC stage and etiology. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  6. Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of Combined Ultrasound + AFP

    To evaluate the positive predictive value (PPV) and negative predictive value (NPV) of the combined Ultrasound and serum AFP strategy for HCC surveillance, stratified by HCC stage and etiology. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

  7. Longitudinal Changes in AFP Levels Prior to HCC Diagnosis

    To assess longitudinal changes in serum Elecsys AFP concentrations preceding an HCC diagnosis among confirmed HCC cases. Unit of Measure: Nanograms per milliliter (ng/mL)

    Time frame: Over 24 months of patient follow-up

  8. Longitudinal Changes in PIVKA-II Levels Prior to HCC Diagnosis

    To assess longitudinal changes in serum Elecsys PIVKA-II concentrations preceding an HCC diagnosis among confirmed HCC cases. Unit of Measure: milli-arbitrary units per milliliter (mAU/mL)

    Time frame: Over 24 months of patient follow-up

  9. Longitudinal Changes in GAAD Score Prior to HCC Diagnosis

    To assess longitudinal changes in the GAAD score preceding an HCC diagnosis among confirmed HCC cases. Unit of Measure: Unitless score

    Time frame: Over 24 months of patient follow-up

  10. Number of Additional Early-Stage HCCs Detected Using GAAD

    To quantify the number of additional early-stage hepatocellular carcinoma cases identified using the GAAD score compared with standard surveillance modalities. Unit of Measure: Number of participants

    Time frame: Over 24 months of patient follow-up

  11. Number of Additional CT or MRI Imaging Procedures Triggered by Surveillance Tests

    To count the number of additional CT or MRI imaging procedures triggered by positive results from GAAD, AFP, or Ultrasound surveillance tests. Unit of Measure: Number of imaging procedures

    Time frame: Over 24 months of patient follow-up

  12. Relative False Positive Rate of Additional CT or MRI Imaging Procedures

    To calculate the relative false positive rate of additional CT or MRI imaging procedures triggered by positive GAAD, AFP, or Ultrasound surveillance results. Unit of Measure: Proportion (percentage)

    Time frame: Over 24 months of patient follow-up

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Study locations

1 site
  • Faculty of Medicine Siriraj Hospital
    Bangkoknoi, Bangkok 10700, Thailand
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References and documents

Publications

  • Tzartzeva K, Obi J, Rich NE, Parikh ND, Marrero JA, Yopp A, Waljee AK, Singal AG. Surveillance Imaging and Alpha Fetoprotein for Early Detection of Hepatocellular Carcinoma in Patients With Cirrhosis: A Meta-analysis. Gastroenterology. 2018 May;154(6):1706-1718.e1. doi: 10.1053/j.gastro.2018.01.064. Epub 2018 Feb 6. PubMed 29425931 ↗
  • Best J, Bechmann LP, Sowa JP, Sydor S, Dechene A, Pflanz K, Bedreli S, Schotten C, Geier A, Berg T, Fischer J, Vogel A, Bantel H, Weinmann A, Schattenberg JM, Huber Y, Wege H, von Felden J, Schulze K, Bettinger D, Thimme R, Sinner F, Schutte K, Weiss KH, Toyoda H, Yasuda S, Kumada T, Berhane S, Wichert M, Heider D, Gerken G, Johnson P, Canbay A. GALAD Score Detects Early Hepatocellular Carcinoma in an International Cohort of Patients With Nonalcoholic Steatohepatitis. Clin Gastroenterol Hepatol. 2020 Mar;18(3):728-735.e4. doi: 10.1016/j.cgh.2019.11.012. Epub 2019 Nov 8. PubMed 31712073 ↗
  • Omata M, Cheng AL, Kokudo N, Kudo M, Lee JM, Jia J, Tateishi R, Han KH, Chawla YK, Shiina S, Jafri W, Payawal DA, Ohki T, Ogasawara S, Chen PJ, Lesmana CRA, Lesmana LA, Gani RA, Obi S, Dokmeci AK, Sarin SK. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int. 2017 Jul;11(4):317-370. doi: 10.1007/s12072-017-9799-9. Epub 2017 Jun 15. PubMed 28620797 ↗
  • European Association for the Study of the Liver. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol. 2018 Jul;69(1):182-236. doi: 10.1016/j.jhep.2018.03.019. Epub 2018 Apr 5. No abstract available. PubMed 29628281 ↗
  • Singal AG, Llovet JM, Yarchoan M, Mehta N, Heimbach JK, Dawson LA, Jou JH, Kulik LM, Agopian VG, Marrero JA, Mendiratta-Lala M, Brown DB, Rilling WS, Goyal L, Wei AC, Taddei TH. AASLD Practice Guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma. Hepatology. 2023 Dec 1;78(6):1922-1965. doi: 10.1097/HEP.0000000000000466. Epub 2023 May 22. No abstract available. PubMed 37199193 ↗

Study documents

  • Study protocol · Oct 17, 2025

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No — The datasets generated and/or analysed during the current study are not publicly available due to the policy of the institutes.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 6, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07319299
Lead sponsor
Mahidol University
Responsible party
Sponsor
First posted
Jan 6, 2026
Start date
Feb 2, 2025
Primary completion
Dec 31, 2027 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Jan 6, 2026

Study contacts

Tawesak Tanwandee, MD
principal investigator · Siriraj Hospital
Tawesak Tanwandee, MD
study director · Siriraj Hospital
Tawesak Tanwandee, MD
study chair · Siriraj Hospital
Tawesak Tanwandee
principal investigator · Siriraj Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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