Protein Classifier for Thyroid Indeterminate Nodules

Sponsor
Luo Dingcun (Other)
Overall Status
Unknown status
CT.gov ID
NCT04477798
Collaborator
(none)
320
1
1
17
18.8

Study Details

Study Description

Brief Summary

In multi-center, prospective, double-blind cohorts, PCT-DIA/MS protein classifier supported by artificial neural networks will be validated to classify thyroid indeterminate nodules.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: PCT-DIA/MS
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
320 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Protein Classifier for Thyroid Indeterminate Nodules: a Multi-center Prospective Clinical Study
Anticipated Study Start Date :
Aug 1, 2020
Anticipated Primary Completion Date :
Jul 1, 2021
Anticipated Study Completion Date :
Dec 31, 2021

Arms and Interventions

Arm Intervention/Treatment
Experimental: PCT-DIA/MS

PCT-DIA/MS protein classifier supported by artificial neural networks will be validated to classify thyroid indeterminate nodules

Diagnostic Test: PCT-DIA/MS
PCT-DIA/MS will be validated to classify FNA biopsy specimens

Outcome Measures

Primary Outcome Measures

  1. protein classifier [immediately after the procedure]

    classify thyroid indeterminate nodules as Benign or Malignant

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 70 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  1. Patients with aged 18 to 70 years old;

  2. Patients with thyroid nodules who have not been treated with drugs;

  3. Patients who were diagnosed as Bethesda III and IV by cytology and pathology before operation;

  4. Patients who underwent total / partial thyroidectomy and had histopathological reports of corresponding cellular pathological punctured nodules;

  5. Patients voluntarily participate in the study after informed consent.

Exclusion Criteria:
  1. Patients without operation;

  2. Patients with insufficient FNA sample size (judged by the laboratory).

Contacts and Locations

Locations

Site City State Country Postal Code
1 Hangzhou First People's Hospital Affiliated to Zhejiang University Medical College Hangzhou Zhejiang China 317500

Sponsors and Collaborators

  • Luo Dingcun

Investigators

  • Principal Investigator: Dingcun Luo, First People's Hospital of Hangzhou

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Luo Dingcun, vice president of hospital, Zhejiang University
ClinicalTrials.gov Identifier:
NCT04477798
Other Study ID Numbers:
  • ZhejiangU20200701
First Posted:
Jul 20, 2020
Last Update Posted:
Jul 20, 2020
Last Verified:
Jul 1, 2020
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jul 20, 2020