NCT07854626

Brief Summary

The goal of this clinical trial is to learn if AI-assisted site selection plus human-machine coordinated puncture improves the quality and safety of peripheral venous access for contrast-enhanced imaging in patients of all ages needing CT/MR contrast scans across three hospitals. The main questions it aims to answer are: Does the AI-assisted workflow improve the composite success rate of venous cannulation compared with routine nursing? Does this human-machine model raise first-attempt puncture success, shorten procedure time and reduce complications? Researchers will compare the AI-assisted intervention group to the routine nursing control group to see if the AI-assisted human-machine coordinated puncture brings clinical benefits. Participants will:

  • Receive peripheral venous cannulation for contrast-enhanced imaging.
  • Have arm images and clinical data collected before and after puncture.
  • Complete standardized venous access assessment and 24-hour post-procedure safety observation.

Trial Health

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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
3,500

participants targeted

Target at P75+ for not_applicable

Timeline
3mo left

Started Oct 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

September 28, 2026

Completed
4 days until next milestone

First Posted

Study publicly available on registry

October 2, 2026

Completed
13 days until next milestone

Study Start

First participant enrolled

October 15, 2026

Expected
Same day until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 15, 2026

3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

January 15, 2027

Last Updated

October 2, 2026

Status Verified

October 1, 2025

Enrollment Period

Same day

First QC Date

September 28, 2026

Last Update Submit

September 28, 2026

Conditions

Keywords

Peripheral venous cannulationArtificial intelligenceContrast-enhanced CTContrast-enhanced MRIVenipuncture

Outcome Measures

Primary Outcomes (1)

  • First-attempt success rate of peripheral venous cannulation

    The proportion of participants with successful peripheral venous cannulation on the first puncture attempt for contrast-enhanced CT/MRI. Success is defined as blood return in the catheter and unobstructed contrast medium injection.

    At the time of venous cannulation (intra-procedure)

Secondary Outcomes (4)

  • Time consumed for peripheral venous cannulation

    At the time of venous cannulation (intra-procedure)

  • Patient-reported puncture pain score

    Immediately after venous cannulation

  • Overall peripheral venous cannulation success rate

    At the time of venous cannulation (intra-procedure)

  • Incidence of contrast extravasation and local vascular injury

    From cannulation to 24 hours after contrast injection

Study Arms (2)

AI-assisted Human-machine Coordinated Venipuncture

EXPERIMENTAL

Nurses perform peripheral venous cannulation for contrast-enhanced CT/MRI guided by an AI puncture site recommendation system. Nurses may accept, modify or reject AI suggestions under standardized human-machine coordination rules.

Procedure: AI-assisted human-machine coordinated peripheral venipuncture

Routine Venipuncture

ACTIVE COMPARATOR

Nurses perform peripheral venous cannulation for contrast-enhanced CT/MRI using conventional clinical practice, with puncture site selection based only on clinical experience and visual inspection.

Procedure: Conventional routine peripheral venipuncture

Interventions

Peripheral venous cannulation for contrast-enhanced CT/MRI with AI-guided puncture site recommendation. Nurses operate under standardized human-machine coordination rules and may accept, modify or reject AI site suggestions.

AI-assisted Human-machine Coordinated Venipuncture

Standard peripheral venous cannulation for contrast-enhanced CT/MRI without AI assistance. Nurses select puncture sites by visual assessment and clinical experience.

Routine Venipuncture

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Patients of all ages scheduled for contrast-enhanced CT/MR examination at three participating centers, who require peripheral venous access.
  • Recent renal function test showing estimated glomerular filtration rate (eGFR) \> 30 ml/min/1.73 m².
  • Written informed consent obtained from the patient or legal representative, agreeing to radiology specialized nursing service.

You may not qualify if:

  • Patients with irreversible brain injury or brain death.
  • Contraindications to peripheral venipuncture, including history of bilateral mastectomy, extremity venous thrombosis, etc.
  • eGFR ≤ 30 ml/min/1.73 m².
  • Uncontrolled hyperthyroidism.
  • Patients planned for Iodine-131 therapy within the next two weeks.
  • Extremely poor vascular conditions that make indwelling needle cannulation impossible.
  • Patients receiving contrast-enhanced imaging of both upper limbs.
  • Known contraindications to contrast media.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University

Guangzhou, Guangdong, 510120, China

Location

Central Study Contacts

Hong Deng, Master of Nursing

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Model Details: Participants are randomly assigned at a 1:1 ratio to 2 parallel arms using stratified block randomization, stratified by study center, operator seniority, and venous condition grade.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 28, 2026

First Posted

October 2, 2026

Study Start (Estimated)

October 15, 2026

Primary Completion (Estimated)

October 15, 2026

Study Completion (Estimated)

January 15, 2027

Last Updated

October 2, 2026

Record last verified: 2025-10

Locations