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Clinical Application of an AI-based Dissection Trajectory Prediction System (ADTPS) in Endoscopic Submucosal Dissection

16. september 2026 opdateret af: Qilu Hospital of Shandong University

Clinical Application of an AI-based Dissection Trajectory Prediction System (ADTPS) in Endoscopic Submucosal Dissection: A Prospective Paired Diagnostic Study and a Randomized Controlled Clinical Trial

In this prospective paired diagnostic study and single-center, randomized controlled trial, patients with early esophageal squamous neoplasia or high-grade intraepithelial neoplasia meeting the inclusion and exclusion criteria will be enrolled in a paired diagnostic cohort (60 patients) and subsequently randomly assigned (1:1) to receive endoscopic submucosal dissection (ESD) with AI-based Dissection Trajectory Prediction System (ADTPS) guidance or conventional ESD (without AI). Clinical data and operator workload scores (NASA-TLX) are collected during the procedure, and postoperative follow-up assessments are performed at days 1, 3, 7, and 14. The study aims to analyze the impact of ADTPS on the mean single-dissection time and operator workload in patients undergoing ESD by comparing the efficacy differences between the experimental and control groups. Additionally, the study investigates the effects of ADTPS on other postoperative complications including R0 resection rate, muscularis propria injury, intraoperative bleeding, perforation (acute and delayed), and total procedure time; conducts a comparative analysis of the safety and efficiency of AI-assisted versus conventional ESD; and develops effective clinical strategies for optimizing dissection trajectory and reducing complications in endoscopic submucosal dissection.

Studieoversigt

Status

Aktiv, ikke rekrutterende

Betingelser

Intervention / Behandling

Undersøgelsestype

Interventionel

Tilmelding (Anslået)

160

Fase

  • Ikke anvendelig

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Studiesteder

    • Shandong
      • Jinan, Shandong, Kina, 250012
        • 山东大学齐鲁医院

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

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Ingen

Beskrivelse

Inclusion Criteria:

  • Chinese patients aged 18-80 years.

Lesions meeting ESD indications for esophageal, gastric, or colorectal early cancer or high-grade intraepithelial neoplasia, as defined by:

Non-invasive tumors regardless of size; or

Differentiated-type intramucosal carcinoma without ulceration, regardless of size; or

Differentiated-type intramucosal carcinoma with ulceration and a diameter ≤3 cm; or

Undifferentiated-type intramucosal carcinoma without ulceration and a diameter ≤2 cm.

Planned to undergo ESD treatment.

No prior treatment for the lesion (including ESD, surgery, radiotherapy, chemotherapy, etc.).

Platelet count >100 × 10⁹/L and PT-INR <1.5, with antiplatelet agents (aspirin, clopidogrel, etc.) discontinued for at least 5 days.

American Society of Anesthesiologists (ASA) physical status grade I or II.

Voluntarily signed informed consent.

Exclusion Criteria:

  • Patients currently undergoing dialysis.

Patients with severe cardiopulmonary disease or other severe comorbidities that may increase the risk of the ESD procedure.

Pregnant or breastfeeding women.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Behandling
  • Tildeling: Randomiseret
  • Interventionel model: Parallel tildeling
  • Maskning: Dobbelt

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Aktiv komparator: Conventional ESD without AI
The same endoscopic hardware platform is used, but the AI-based Dissection Trajectory Prediction System (ADTPS) is turned off. The endoscopist performs the ESD procedure based solely on clinical judgment and personal experience, following standard conventional ESD steps including marking, injection, circumferential incision, and submucosal dissection.
Eksperimentel: AI-assisted ESD with ADTPS
The ADTPS is an artificial intelligence software system that analyzes endoscopic images in real time during ESD. It automatically identifies lesion boundaries and generates a recommended dissection trajectory overlaid on the endoscopic view. The endoscopist follows the AI-generated trajectory to perform submucosal dissection. The system provides visual guidance only and does not alter the standard surgical workflow.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Tidsramme
NASA-TLX Workload Score
Tidsramme: Immediately after the ESD procedure
Immediately after the ESD procedure
Mean Single Dissection Time
Tidsramme: During the ESD procedure
During the ESD procedure

Sekundære resultatmål

Resultatmål
Tidsramme
R0 Resection Rate
Tidsramme: At the time of pathological examination
At the time of pathological examination
Muscularis Propria Injury Rate
Tidsramme: During the ESD procedure
During the ESD procedure
Intraoperative Bleeding Episodes
Tidsramme: During the ESD procedure
During the ESD procedure
Intraoperative Perforation Rate
Tidsramme: During the ESD procedure
During the ESD procedure
Delayed Bleeding Rate
Tidsramme: Within 14 days after procedure
Within 14 days after procedure
Delayed Perforation Rate
Tidsramme: Within 14 days after procedure
Within 14 days after procedure
Total Procedure Time
Tidsramme: During the ESD procedure
During the ESD procedure

Samarbejdspartnere og efterforskere

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Sponsor

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

29. juli 2026

Primær færdiggørelse (Anslået)

28. juli 2027

Studieafslutning (Anslået)

1. oktober 2027

Datoer for studieregistrering

Først indsendt

6. august 2026

Først indsendt, der opfyldte QC-kriterier

6. august 2026

Først opslået (Faktiske)

11. august 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

18. september 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

16. september 2026

Sidst verificeret

1. juli 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • 2026SDU-QILU-4

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