DCNN Developed for Detection and Assessing the Perfusion of PTG

NCT05869058 | Recruiting

• 1 other identifier: SYSKY-2022-177-01
• Study Type: observational
• Target: 300
• Locations: 1 country
• Sites: 1

Brief Summary

Since the anatomical location and appearance of the parathyroid gland (PTG) vary, detection of the PTG and preserving the blood supply are among the difficulties encountered during a thyroidectomy procedure. We are planning to train a deep convolutional neural network based on a larger sample of endoscopic images to develop a model to assist surgeons in detection of PTG during endoscopic thyroidectomy. Furthermore, we would like to train a DCNN to predict blood perfusion based on endoscopic images comparing to indocyanine green fluorescence angiography as reference standard, and assess the performance of DCNN in predicting postoperative hypoparathyroidism.

Conditions

Thyroidectomy

Outcome Measures

Primary Outcomes (1)

• Area Under the Receiver Operating Characteristic Curve

  Area Under the Receiver Operating Characteristic Curve

  3 years

Interventions

a deep convolutional neural network DIAGNOSTIC_TEST

a deep convolutional neural network developed for detection and assessing the perfusion of parathyroid gland during endoscopic thyroidectomy

Eligibility Criteria

• Age: 18 Years - 70 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The patients, who choose to undergo endoscopic thyroidectomy due to thyroid diseases and have no history of hyperparathyroidism, hypoparathyroidism, neck surgery and cervical radiotherapy, are candidates of our study.

You may qualify if:

• The patients who undergo endoscopic thyroidectomy

You may not qualify if:

• hyperparathyroidism
• hypoparathyroidism
• neck surgery history
• cervical radiotherapy history

Sponsors & Collaborators

• Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University: lead

Study Sites (1)

Sun Yat-sen Memorial Hospital

Guangzhou, Guangdong, 510000, China

RECRUITING

Study Officials

• Peiliang Lin, M.D.

  Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Peiliang Lin, M.D.

CONTACT

0086-020-34071439; linpliang3@mail.sysu.edu.cn

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 11, 2023
• First Posted: May 22, 2023
• Study Start: June 13, 2023
• Primary Completion: April 1, 2026
• Study Completion (Estimated): October 1, 2026
• Last Updated: December 3, 2025

Record last verified: 2025-11

Locations

CN (1)