Active clinical trials for "Thyroid Nodule"

The investigation of thyroid nodules is limited by the fact that up to 49% of the fine needle aspirations (FNA) performed are of "indeterminate cytological signification". Moreover, no fully reliable molecular marker for thyroid cancer have been described. The goal of this project is to study the expression of a specific kind of protein convertase in benign and in malignant thyroid nodules to determine its potential as a biomarker.

To detect any changes in Quality of Life in patients with benign thyroid diseases who undergo thyroidectomy compared to patients with benign thyroid diseases and conservative treatment and healthy subjects.

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.

Systemic sclerosis (SSc) is a systemic disease that involves various organs such as the skin, kidneys, gastrointestinal tract and lungs. Dysfunction of the thyroid gland is prevalent in these patients and may be related to thyroid fibrosis or to thyroid autoimmune disease, i.e. hashimoto's thyroiditis. Thyroid nodules are prevalent in the general population, although some reports suggest they might be more frequent in patients with SSc. Hashimoto's thyroiditis, by itself, carries a higher risk for thyroid nodules and thyroid cancer. The aim of the study:To characterize sonographycally the thyroid gland of patients with SSc with and without Hashimoto's disease

Nodular goiter is a highly prevalent disease in iodine-deficient areas. Usually nodule assessment includes ultrasonography (US) and fine-needle aspiration (FNA), but some benign nodules can hardly be distinguished from carcinomas. Elastography measures tissue elasticity using sonography, as malignancy is related to stiffness of solid organs. The investigators have designed a study to evaluate the diagnostic accuracy of elastography in nodular goiter. Consecutive patients will be assessed using US, FNA and elastography; the latter will be compared with cytology. Specificity, sensitivity, and predictive values will be calculated.

Patients over the age of 18 with thyroid nodules scheduled for surgery will undergo EIS scan. Each node will be scanned and graded form 1-5 (1=benign, 5=malignant). Results will be compared with final histopathology.

The aim of this study is to identify which ultrasonographic feature or a combination of features is the best predictor of thyroid cancer in thyroid nodules.

Recently, targeted next generation sequencing (NGS) platforms have been introduced that allow inexpensive testing for hundreds of mutational hotspots at the same time. A number of additional mutational markers in thyroid cancer have been identified. Highly promising markers associated with tumor prognosis have also been found. This multi-institutional study aims to validate the diagnostic use of mutational markers in thyroid nodules with indeterminate cytology. The proposed hypothesis is that a broad NGS-based genotyping of thyroid nodules using a large panel of mutational markers applied to thyroid FNA samples can provide an accurate cancer risk stratification in thyroid nodules. The performance of the panel will be tested in a multi-institutional double-blind prospective study of FNA samples from thyroid nodules with indeterminate cytology and available surgical outcome

The endoscopic thyroidectomy approach is gaining popularity in the surgical field. This registry tries to collect the outcomes including quality of life and complication for both endoscopic and conventional thyroidectomy methods.

This study evaluates the usefulness of molecular classifier to aid the diagnosis of malignancy in the material obtained by fine-needle aspiration biopsy (FNAB) of thyroid nodule. All participants will undergo FNAB with routine cytological assessment and molecular testing. Patients will undergo surgery or be followed-up, according to the clinical guidelines. The diagnostic power of combined molecular/clinical classifier will be compared to prediction based on clinical features only, by investigators blinded to the final diagnosis of surgical assessment.