Assessment the Cancer Risk of Indeterminate Thyroid Nodules Through Integration of Clinical, Ultrasonographic and Multiomic Features
THYOMICS
A Novel, Multimodal, Machine-learning Grounded Approach to Assess the Oncological Risk of Indeterminate Thyroid Nodules
1 other identifier
observational
256
1 country
1
Brief Summary
Indeterminate thyroid nodules have a mild risk of malignancy (15-30%). The aim of our study is to individuate new biomarkers of thyroid carcinoma through multiomic analyses of blood samples and of specimen samples of patients with indeterminate thyroid nodules.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2023
Longer than P75 for all trials
1 active site
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
June 16, 2022
CompletedFirst Posted
Study publicly available on registry
June 23, 2022
CompletedStudy Start
First participant enrolled
January 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2027
June 23, 2022
June 1, 2022
4.4 years
June 16, 2022
June 16, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Identification of biomarkers of thyroid carcinoma
Identification of alterations in cfDNA length and integrity, presence of SNPs in cfDNA, alterations of serum proteome predictive of thyroid carcinoma
50 months
Secondary Outcomes (1)
Elaboration of diagnostic algorithm
60 months
Study Arms (2)
Thyroid carcinoma
Patients with indeterminate thyroid nodule and pathological diagnosis of thyroid carcinoma
Follicular adenoma
Patients with indeterminate thyroid nodule and pathological diagnosis of follicular adenoma
Interventions
The following items will be evaluated: * cell free dna length and integrity * presence or absence of SNPs in cfDNA and in DNA extracted from surgical samples * qualitative and quantitative evaluation of serum and surgical specimens proteome (proteomics)
Eligibility Criteria
We plan to include in our study patients with indeterminate thyroid nodules (Class III and Class IV according to Bethesda classification) who have a mild risk of thyroid cancer (15-30%)
You may qualify if:
- Patients with indeterminate thyroid nodules (Class III and Class IV according to Bethesda Classification of thyroid nodules)
You may not qualify if:
- Patients with concomitant thyroid nodules of Bethesda Class V or Class VI
- Patients with preoperative diagnosis of lymph node metastases of central or lateral neck compartment
- Patients with distant metastases
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Cagliarilead
- Prof. Pietro Giorgio Calòcollaborator
- Dott. Gian Luigi Canucollaborator
Study Sites (1)
AOU Cagliari
Cagliari, CA, 09100, Italy
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
June 16, 2022
First Posted
June 23, 2022
Study Start
January 1, 2023
Primary Completion (Estimated)
May 31, 2027
Study Completion (Estimated)
December 31, 2027
Last Updated
June 23, 2022
Record last verified: 2022-06