View clinical trials related to Thyroid Nodule.
Filter by:role of TIRADS and Bethesda scoring system in management of thyroid nodules as these methods are ultrasound clasification that helps increase the diagnostic effectiveness of thyroid nodules and reduces the use of preopeative FNA .that nodules are usually divided into diffent categories based on TIRADS and are then referred to FNA and follow up according to variable risk of maligneny.
A thyroid nodule is a discrete lesion within the thyroid gland that is radiologically distinct from the surrounding thyroid parenchyma. Most thyroid nodules are benign, with only 10% to 15% harboring cancer. This is a prospective study conducted at the department of Ear, Nose and Throat - Head and Neck Surgery (ENT-HNS) of Shree Birendra Hospital , a tertiary heath care centre of Nepal. Individuals visiting ENT-HNS outpatient department with thyroid nodules had undergone Ultrasonography (USG) of neck followed by Fine-Needle Aspiration Cytology (FNAC) from the thyroid nodules. USG was reported by Thyroid Imaging Reporting and Data System(TIRADS) and FNAC by Bethesda system. Thereafter patients were planned either for surgery either total thyroidectomy or hemithyroidectomy. Post operative histopathology was correlated with preoperative FNAC and USG reports.
Eligible participants will be: benign thyroid nodules patients, to be involved in a consultation with their endocrinologist and/or surgeon and/or radiologist, in order to discuss treatment options related to benign thyroid nodules.
1. To evaluate the clinical outcomes of ultrasound-guided thermal ablationfor the treatment of benign thyroid nodules; 2. To develop and validate a artificial intelligence model to predict the outcomes of ultrasound-guided thermal ablation in the treatment of benign thyroid nodules
This is a prospective clinical study aiming to test how the experience of the ultrasound operator influences the performance of AI-based (artificial intelligence-based) diagnostics when analysing thyroid nodules on ultrasound scans. The investigators set up an experiment with five stations, each with a patient with a thyroid nodule and an ultrasound machine with the deep learning based system S-Detect for Thyroid installed. 20 study participants where recruited: 8 medical students of novice ultrasound skill, 3 junior ENT (ear-nose-throat) registrars of intermediate ultrasound skill, and 9 senior ENT registrars experienced in ultrasound. The participants scanned all the patients and recorded their analyses of the nodules using the EUTIRADS (European thyroid imagining reporting and data system) system in three different ways: a analysis of their own, S-Detect's analysis, and an analysis combining the two previous. The hypothesis was that the AI system would perform equally well when between the participant groups. In addition, it was expected that the experienced participants would perform better than the students without AI help, and that the doctors would gain little from AI input, but that the students would have their performance improved by AI input.
Thyroid surgery is the most common type of surgery among endocrine surgeries. This surgery is performed for patients with suspected malignancy, patients diagnosed with malignancy, and toxic nodular goiter. In addition to vocal cord injury, which is the most important complication of thyroid surgery, hypocalcemia due to hypoparathyroidism and surgical wound complications (such as hematoma, and fistula) can also be observed, and malignancy surgery increases the risk of recurrent laryngeal nerve injury. Therefore, it is important to differentiate these groups using non-invasive methods before surgery. Tumor-related inflammation is activated as a result of bone marrow and inflammation induced by malignancies. Insufficiently controlled or uncontrolled inflammatory activity may be responsible for malignant transformation. Lymphocyte monocyte ratio and red blood cell distribution are parameters (RDW, RDW-CW) previously studied in terms of cancers. Our aim in this study is to reveal the RDW, RDW-CW, and LMR calculated from complete blood count parameters in the preoperative period, as an indicator of malignant inflammatory response, in a non-invasive and inexpensive way before surgery or biopsy is performed to distinguish nodular goiter and thyroid malignancy.
This retrospective study focuses on benign and malignant classification of thyroid nodules using deep learning techniques and evaluates the value of deep learning based nomograms in the classification of TI-RADS category 4 thyroid nodules to improve the accuracy of benign and malignant identification of TI-RADS category 4 thyroid nodules. Materials and methods: Patients who visited in The First Affiliated Hospital of Shandong First Medical University ＆ Shandong Provincial Qianfoshan Hospital were collected. Their general clinical features, information on preoperative ultrasound diagnosis, and postoperative pathologic data were reviewed.
To determine if transoral endoscopic thyroidectomy vestibular approach (TOETVA) is a safe and effective procedure compared to traditional open thyroidectomy. Surgical outcomes, patients' satisfaction, voice and swallowing outcomes will be assessed.
This is a pilot study to compare two ways of managing newly identified thyroid nodules that are likely to be cancerous based on ultrasound result and which under usual care would undergo immediate biopsy. The main goals of this pilot study are 1) compare anxiety at 6 months in each treatment arm using the validated instrument Anxiety-CA, 2) measure thyroid quality of life in each treatment arm Participants will be randomized to one of two groups: 1. immediate biopsy (usual care) 2. Active monitoring (serial ultrasound based monitoring and close clinical follow-up)
This study is being done to identify and differentiate thyroid nodules by acoustic imaging and viscoelastic parameters.