Clinical trial · Observational
Computer Vision-Based Recognition of Parathyroid Glands and Recurrent Laryngeal Nerves in Endoscopic Surgery
Prospective Multicenter Model Validation Study of the PTAIR Computer Vision Model for Recognition of Parathyroid Glands and Recurrent Laryngeal Nerves During Endoscopic Thyroid Surgery
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aims to evaluate the performance of the PTAIR computer vision model for recognizing parathyroid glands and recurrent laryngeal nerves during endoscopic thyroid surgery. Multicenter intraoperative endoscopic surgery videos will be prospectively collected. Using the video recorder timeline as the unified time reference, the first recognition time of parathyroid glands and recurrent laryngeal nerves by PTAIR, junior physicians, and senior physicians will be recorded during surgery. The continuous recognition time of parathyroid glands and recurrent laryngeal nerves by PTAIR will also be recorded. This study focuses on the recognition performance of PTAIR in real-world multicenter endoscopic thyroid surgery settings. At this stage, PTAIR will not be used to guide intraoperative surgical decision-making, and the study will not evaluate the effect of PTAIR on clinical outcomes. The collected video data will be used to assess the performance of PTAIR under different centers, surgeons, equipment conditions, and surgical field conditions, and may provide data support for future model optimization.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Thyroid Diseases | — | UNRESOLVED | — |
| Thyroid Neoplasms | Thyroid Gland Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| PTAIR Computer Vision Model Assessment | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Multicenter Endoscopic Thyroid Surgery Video Cohort
- description
- This cohort includes adult patients with thyroid disease who are scheduled to undergo endoscopic thyroid surgery and consent to intraoperative video recording and research use. Recorder-based intraoperative videos will be collected to evaluate the recognition performance of PTAIR for parathyroid glands and recurrent laryngeal nerves. The recognition results of PTAIR will be compared with those of junior and senior physicians based on the same intraoperative endoscopic visual field and the same video recording timeline.
- interventionNames
- Other: PTAIR Computer Vision Model Assessment
Primary outcomes (4)
- measure
- First Recognition Time of the Recurrent Laryngeal Nerve
- timeFrame
- Intraoperative period
- description
- Using the video recorder timeline as the unified time reference, the first recognition time of the recurrent laryngeal nerve by PTAIR, junior physicians, and senior physicians will be recorded during surgery. All recognitions will be based on the same intraoperative endoscopic visual field.
- measure
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: 1. Age 18 years or older. 2. Patients with benign or malignant thyroid disease who are scheduled to undergo endoscopic thyroid surgery. 3. Standardized recorder-based intraoperative video collection is planned during surgery. 4. Patients agree to intraoperative video recording, de-identification, and research use. 5. Basic perioperative clinical data are available. 6. The participating center is able to follow the standardized procedures for video collection, data upload, data security, and annotation quality control. Exclusion Criteria: 1. Refusal to provide informed consent. 2. Patients scheduled to undergo conventional open thyroid surgery. 3. Standardized recorder-based intraoperative video collection cannot be performed. 4. Intraoperative video quality is insufficient for model analysis or expert review. 5. Key surgical phases are missing from the video recording. 6. Expert annotation or review of the parathyroid glands or recurrent laryngeal nerves cannot be completed. 7. Video de-identification fails. 8. Severe missing perioperative clinical data. 9. Other conditions judged by the investigators to be unsuitable for study inclusion.
References
Publications (2)
- BACKGROUNDWang B, Zheng J, Yu JF, Lin SY, Yan SY, Zhang LY, Wang SS, Cai SJ, Abdelhamid Ahmed AH, Lin LQ, Chen F, Randolph GW, Zhao WX. Development of Artificial Intelligence for Parathyroid Recognition During Endoscopic Thyroid Surgery. Laryngoscope. 2022 Dec;132(12):2516-2523. doi: 10.1002/lary.30173. Epub 2022 May 31. PMID 35638245
- BACKGROUNDWang B, Yu JF, Lin SY, Li YJ, Huang WY, Yan SY, Wang SS, Zhang LY, Cai SJ, Wu SB, Li MY, Wang TY, Abdelhamid Ahmed AH, Randolph GW, Chen F, Zhao WX. Intraoperative AI-assisted early prediction of parathyroid and ischemia alert in endoscopic thyroid surgery. Head Neck. 2024 Aug;46(8):1975-1987. doi: 10.1002/hed.27629. Epub 2024 Feb 13. PMID 38348564