NCT07687992

Brief Summary

The complex anatomy of the paranasal sinuses and skull base presents a steep learning curve for junior clinicians in otolaryngology. This prospective, randomized controlled trial aims to evaluate the effectiveness of a novel, responsive web-based sinus CT scan interpretation training system compared to traditional educational methods. The study will enroll 36 medical trainees and junior resident physicians with no prior specialized training in otolaryngology imaging. Following a standardized baseline video lecture, participants will be randomized (1:1) into two groups for a one-week rotation period. The intervention group will utilize an interactive, cross-platform web system featuring multi-planar correlations, the CLOSE mnemonic guided reading, and case-based self-assessments. The control group will study using standard digitized text-and-image guidelines and clinical consensus documents. The primary outcome is the objective CT interpretation score, which evaluates the accuracy of identifying anatomical variations and pathological grading (e.g., Lund-Mackay score, osteitis grading) across 10 anonymized clinical cases. Secondary outcomes include interpretation time, diagnostic confidence, and system usability. The findings of this study will provide valuable evidence on whether interactive digital tools can effectively accelerate the learning curve and improve diagnostic accuracy in specialized medical imaging education.

Trial Health

65
Monitor

Trial Health Score

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

Enrollment
36

participants targeted

Target at P25-P50 for not_applicable

Timeline
2mo left

Started Aug 2026

Shorter than P25 for not_applicable

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

Study Progress1%
Aug 2026Sep 2026

First Submitted

Initial submission to the registry

June 15, 2026

Completed
22 days until next milestone

First Posted

Study publicly available on registry

July 7, 2026

Completed
25 days until next milestone

Study Start

First participant enrolled

August 1, 2026

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 30, 2026

Last Updated

July 7, 2026

Status Verified

July 1, 2026

Enrollment Period

2 months

First QC Date

June 15, 2026

Last Update Submit

July 2, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Objective CT interpretation test score

    The objective CT interpretation test includes 10 anonymized clinical CT sequences. Participants must independently identify anatomical variations (e.g., Onodi cells, Haller cells, ostiomeatal complex) and complete the Lund-Mackay staging and osteitis grading. The total test score ranges from 0 to 100 points. A higher score indicates higher diagnostic accuracy and better performance in CT interpretation.

    at Day 7

Study Arms (2)

Web-Based Interactive Training Group

EXPERIMENTAL

Web-Based Interactive Training

Other: Web-Based Interactive Group

Traditional Multimedia Learning Group

ACTIVE COMPARATOR

Traditional Multimedia Learning

Other: Traditional Teaching Group

Interventions

Following the exact same standardized baseline lecture video on sinus anatomy, participants will receive a digitized traditional teaching material package for self-directed learning over a 1-week rotation period. This standard educational package includes detailed text-and-image handouts on sinus anatomy and static CT evaluation criteria derived from the official clinical expert consensus guidelines.

Web-Based Interactive Training Group

In addition to watching the baseline video, participants will receive a standard digitized traditional teaching material package (including detailed text-and-image handouts on sinus anatomy and the CT evaluation standard documents from the "Expert Consensus on the Diagnosis and Treatment of Chronic Rhinosinusitis"). Participants are required to complete self-directed reinforcement learning using these materials within the same period.

Traditional Multimedia Learning Group

Eligibility Criteria

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

You may qualify if:

  • Medical students currently in their clinical clerkship or internship phase, or junior physicians currently undergoing standardized residency training;
  • No prior systematic training in specialized otolaryngology-head and neck surgery (ORL-HNS) imaging;
  • Voluntary participation in the study with a signed informed consent form.

You may not qualify if:

  • Inability to access a basic smartphone or computer required for the digital training system;
  • Anticipated inability to complete the intervention, and assessment period (e.g., due to planned prolonged leave of absence).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Dr.

Study Record Dates

First Submitted

June 15, 2026

First Posted

July 7, 2026

Study Start

August 1, 2026

Primary Completion (Estimated)

September 30, 2026

Study Completion (Estimated)

September 30, 2026

Last Updated

July 7, 2026

Record last verified: 2026-07

Data Sharing

IPD Sharing
Will not share

Individual participant data (IPD) will not be shared publicly. Due to the specific nature of the study population (a small cohort of clinical rotators in a single department) and the relatively small sample size, sharing raw IPD poses a significant risk of indirect re-identification. Furthermore, the informed consent obtained from the participants strictly limits data access to the immediate research team to protect their academic and professional privacy. Aggregate data and statistical analyses will be reported in published manuscripts.