Genomic Profiling of Nodular Thyroid Disease and Thyroid Cancer
NCT ID: NCT03170804
Last Updated: 2017-05-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
200 participants
OBSERVATIONAL
2017-01-01
2020-01-01
Brief Summary
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Detailed Description
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The biopsy results will be categorized according to Bethesda scoring system. Category I is non-diagnostic FNA and will require a repeat FNA. Category II is benign cytology, categories III, IV and V are the indeterminate group, and category VI is malignant cytology. The FNA analysis of registry patients will be collected under six groups. Thyroseq molecular testing may be deferred if not felt needed following cytology.
1. Cytology(benign) / Thyroseq(-)
2. Cytology(benign) / Thyroseq(+)
3. Cytology(indeterminate) / Thyroseq(-)
4. Cytology(indeterminate) / Thyroseq(+)
5. Cytology(Malignant) / Thyroseq(-)
6. Cytology(Malignant) / Thyroseq(+). Thyroid operation indication and lobectomy vs total thyroidectomy choices will be made entirely on the clinical grounds, by the managing physicians. The routine histopathology will be processed and reported as per the institutional protocols. The molecular testing of the preoperatively biopsied and intraoperatively and postoperatively identified lesions will be performed, as indicated.
The registry is open to all interested physicians involved in thyroid patient care and interested in participating
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
16 Years
ALL
No
Sponsors
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Aventura Hospital and Medical Center
OTHER
Responsible Party
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Principal Investigators
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Seza Gulec, MD
Role: PRINCIPAL_INVESTIGATOR
Aventura Hospital and Medical Center
Locations
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Aventura Hospital and Medical Center
Aventura, Florida, United States
Countries
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Central Contacts
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Facility Contacts
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Hilda Mahmoudi, MD
Role: primary
Other Identifiers
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20162786
Identifier Type: -
Identifier Source: org_study_id