Thyroid Cancer Clinical Trial
— THYOMICSOfficial title:
A Novel, Multimodal, Machine-learning Grounded Approach to Assess the Oncological Risk of Indeterminate Thyroid Nodules
Verified date | June 2022 |
Source | University of Cagliari |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Not yet recruiting |
Enrollment | 256 |
Est. completion date | December 31, 2027 |
Est. primary completion date | May 31, 2027 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Patients with indeterminate thyroid nodules (Class III and Class IV according to Bethesda Classification of thyroid nodules) Exclusion Criteria: - 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 |
Country | Name | City | State |
---|---|---|---|
Italy | AOU Cagliari | Cagliari | CA |
Lead Sponsor | Collaborator |
---|---|
University of Cagliari | Dott. Gian Luigi Canu, Prof. Pietro Giorgio Calò |
Italy,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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 | Elaboration of diagnostic algorithm | Elanoration of diagnostic algorithm predictive of thyroid carcinoma through integration of clinical, ultrasonographic and multiomic variables able to predict che condition of thyroid cancer in patients with indeterminate thryoid nodules | 60 months |
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