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LEAF (Liver Tumor dEtection And classiFication AI)

Study acronym: LEAF
StatusActive, Not Recruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Trial flagged as At Risk
Primary completion moved at least 8 months later Oct 31, 2025 → Jul 22, 2026
Primary endpoint reworded 1 of 1 changed
Primary endpoints removed 3 → 1 primary endpoints
See other at-risk trials from Zhejiang University

Record History

  1. Enrollment closed, study ongoing Primary completion date changed from estimate of Aug 10, 2026 to Aug 12, 2026 · Site details revised Show 2 more changesShow less
    • Primary completion date changed from estimate of Aug 10, 2026 to Aug 12, 2026
    • Site details revised
  2. Primary completion pushed from Oct 31, 2025 to Jul 22, 2026 Primary endpoint(s) modified · Primary endpoint(s) modified · Trial status changed: Active, Not Recruiting → Recruiting · 6 morev8 Show 9 more changesShow less
    • Primary endpoint(s) modified
    • Primary endpoint(s) modified
    • Trial status changed: Active, Not Recruiting → Recruiting
    • Enrollment increased: 1500 → 2500 participants
    • Completion moved earlier from Sep 15, 2030 to Oct 22, 2026
    • Start date: Jul 15, 2026 to Jul 17, 2026
    • Eligibility criteria revised
    • Secondary endpoints revised (2)
    • Study description expanded, about 43 words

    See this version in full on ClinicalTrials.gov ↗

  3. Trial status: Active, Not Recruiting to Recruiting Primary completion date: Oct 31, 2025 to Jul 22, 2026 · Start date: Jul 15, 2025 to Jul 15, 2026 · Primary endpoints: 3 to 1 · 6 morev7 Show 9 more changesShow less
    • Primary completion date: Oct 31, 2025 to Jul 22, 2026
    • Start date: Jul 15, 2025 to Jul 15, 2026
    • Primary endpoints: 3 to 1
    • Enrollment target: 1528 to 1500
    • Completion date: Sep 15, 2030 to Oct 22, 2026
    • Eligibility criteria expanded, about 10 words
    • Secondary endpoints revised (2)
    • Study description shortened, about 66 words
    • Site details revised

    See this version in full on ClinicalTrials.gov ↗

  4. Enrollment reduced: 10000 → 1528 participants Eligibility criteria shortened, about 80 wordsv6 Show 1 more changeShow less
    • Eligibility criteria shortened, about 80 words

    See this version in full on ClinicalTrials.gov ↗

  5. Study description revisedv5 See this version in full on ClinicalTrials.gov ↗
  6. Primary completion moved earlier from Mar 1, 2026 to Oct 31, 2025 Study description expanded, about 50 wordsv4 Show 1 more changeShow less
    • Study description expanded, about 50 words

    See this version in full on ClinicalTrials.gov ↗

  7. Trial status: Recruiting to Active, Not Recruiting Primary completion date changed from estimate of Mar 15, 2030 to Mar 1, 2026 · Site details revisedv3 Show 2 more changesShow less
    • Primary completion date changed from estimate of Mar 15, 2030 to Mar 1, 2026
    • Site details revised
  8. Trial status: Not Yet Recruiting to Recruiting Start date changed from estimate of Mar 15, 2025 to Jul 15, 2025 · Primary endpoints revised (3) · Interventions: LIDAR (Device) to LEAF(Liver tumor dEtection And classiFication AI) (Device) · 4 morev2 Show 7 more changesShow less
    • Start date changed from estimate of Mar 15, 2025 to Jul 15, 2025
    • Primary endpoints revised (3)
    • Interventions: LIDAR (Device) to LEAF(Liver tumor dEtection And classiFication AI) (Device)
    • Study description expanded, about 28 words
    • Site details revised
    • Study arms: 2 to 1
    • Study title shortened, about 5 words

    See this version in full on ClinicalTrials.gov ↗

  9. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
Zhejiang University
149 trials monitored
See 4 trials at risk
Liver Cancer
1,512 trials monitored
See 63 trials at risk
This study aims to assess the feasibility of leveraging non-contrast CT and artificial intelligence to detect liver cancer in consecutive real-world patients. To this end, we deploy LEAF in a prospective real-world clinical setting for real-time monitoring, with a particular focus on flagging cases with liver cancer that may be missed by routine clinical workflow.
Trial Details
NCT Number NCT06859840
Lead Sponsor Zhejiang University
Conditions Liver Malignancy
Enrollment 2,500 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov