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134 results for “Thyroid nodule”
Prevalence and Characterization of Asymptomatic Thyroid Nodules in Assin North District, Ghana
<p><strong>Study design and sampling </strong></p> <p>The study was cross-sectional involving six (6) communities in the Assin North District of the Central Region of Ghana. Ethical approval was obtained from the Institutional Review Board of the University of Cape Coast, Ghana, with this reference number: UCCIRB/EXT/2017/18. All community entry protocols with local authorities were observed before the study commenced. Further, protocol involving informed consent was also duly observed during and after this study. Both verbal and written consent were obtained from each participant prior to participation. Participation in the study was strictly on voluntary basis.</p> <p>Each of these six (6) communities was considered a stratum in which all households were listed to constitute a sampling frame from which the respective number of households in each community were sampled using systematic random sampling technique. The sampling interval (<em>K</em><sup>th</sup>) in each community was determined by dividing the total number of listed households (N) by the number of households respectively require (n) (based on proportion-to-population size) as shown in Table 1. The simple random sampling technique was then employed to select the first household (<em>i</em><<em>K</em>) in each community, from which every <em>K</em><sup>th</sup> household was selected until the expected number of households in each community was met. One eligible consenting participant in each selected household was then randomly selected for the study. In a few instances where there were no consenting or eligible participant, the next household on the roll was considered.</p> <p>Exclusion criteria included participants with anterior neck swelling or clinical evidence of thyroid disease, smokers, persons on lithium, phenytoin, oral contraceptive drugs, and women during menstruation, pregnant women or women who had delivered within the last 12 months and persons with any systemic disorder</p> <p><strong>Data collection</strong></p> <p>Data collection was conducted in July, 2019 in two phases. The first phase consisted of face-to-face interviews with participants using a structured interview guide to elicit socio-demographic information such as age, sex, marital status, and highest level of education; history dietary salt intake (often intake- at least 5g or one teaspoon of iodized salt per day and not often intake- less than 5g or one teaspoon of iodized salt per day or not at all); and history of alcohol intake (yes- consumed alcohol regardless of quantity and no- had not consume alcohol before). Anthropometric measurements of body weight (kg) and height (cm) were measured using standard anthropometric techniques and further computed to generate measures of body surface area (BSA) and body mass index (BMI). Data collection in the phase was conducted by six (6) trained research assistants from UCCSMS and duly supervised by key investigators (listed authors) of the study.</p> <p>The second phase of the data collection mainly focused on diagnostic imaging of the thyroid gland by a specialist radiologist with over five (5) working experience in thyroid examination using various imaging technologies. A screening center was staged in each of the study communities on different days while ensuring that such days did not conflict with market days or other important community events. Participants who were interviewed at the household level were given an identification chit to present with to the screening stage for easy synchronization of their interview data with thyroid data. Given that ultrasound has been recognized as the initial imaging modality of choice for the early detection of thyroid nodules [2,9,22,23], a real-time ultrasound scanner (MEDISON SA8000SE-MAI, 1003 Dachi-Dong, Gangnam-Gu, Seoul Korea) with a 7.5 MHz, 50 mm linear transducer was used in examining the thyroid gland of study participants.</p> <p>Participants were examined while in a supine position with hyperextended cervical spine. Ultrasound gel was applied over the thyroid area with the transducer directly placed on the skin over the thyroid gland. Longitudinal and transverse scans were performed, to obtain length and width in centimeters, of each thyroid nodule. If there were multiple nodules in a single thyroid lobe only the dimensions of the largest were recorded. Documented characteristics of thyroid nodules included the location of nodules in the thyroid lobe; number of nodules (solitary or multiple), nodule composition (cyst, solid or mixed), calcifications, and nodule size (length and width in centimeters). Out of the 343 participants interviewed in the initial phase of the data collection, 23 participants failed showed up for the thyroid screening in the second phase despite countless attempts to contact them. Hence the current study is based on 320 participants who were successfully interviewed and screened.</p> <p><strong>Statistical analysis</strong></p> <p> The data was captured using SPSS and later exported to STATA 11.0 for further management and analysis. A protocol was designed from the outset for imputing, ensuring data quality and preserving of data for reuse. Descriptive statistics including frequencies, percentages, means and standard deviation were used to summarize participants’ socio-demographic and thyroid characteristics. Bivariate and multivariate logistic regression analyses were conducted to determine factors associated with ATN. Odds ratios and corresponding confidence intervals were reported with statistical significance at p < 0.05</p>
Thyroid cancer polygenic risk score improves classification of thyroid nodules as benign or malignant.
<p>Supplementary Data for the manuscript: Thyroid cancer polygenic risk score improves classification of thyroid nodules as benign or malignant. Nikita Pozdeyev, MD, PhD (ORCiD ID: 0000-0001-8574-1972), Manjiri Dighe, MD, Martin Barrio, MD, MS, Christopher Raeburn, MD, Harry Smith, MS, Matthew Fisher, MS, Sameer Chavan, MS, Nicholas Rafaels, MS, Jonathan A. Shortt, PhD, Meng Lin, PhD, Michael G. Leu, MD, Toshimasa Clark, MD, Carrie Marshall, MD, Bryan R. Haugen, MD, Devika Subramanian, PhD, Regeneron Genetics Center, Kristy Crooks, PhD, Christopher Gignoux, PhD, Trevor Cohen, MBChB, PhD, FACMI</p>
Efficacy of a Spirulina Supplement for Amelioration of Benign ThYroid Nodules
ClinicalTrials.gov study NCT03535974. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparison Between Combined Scoring of Bethesda Cytology and TIRADS Ultrasound With Histopathology in Thyroid Nodule
ClinicalTrials.gov study NCT06391021. IPD Sharing: NO. Countries: 1. Publications: 1.
FDG-PET/CT in Evaluation of Cytological Indeterminate Thyroid Nodules to Prevent Unnecessary Surgery (EfFECTS)
ClinicalTrials.gov study NCT02208544. IPD Sharing: YES. Countries: 1. Publications: 8.
Effect of Ultrasound Guided Laser Ablation Therapy on Symptomatic Benign Thyroid Nodules
ClinicalTrials.gov study NCT04277455. IPD Sharing: NO. Countries: 1. Publications: 3.
Data for: Classification of benign-malignant thyroid nodules based on hyperspectral technology
<p>We propose a rapid diagnostic method for benign and malignant thyroid nodules based on hyperspectral technology to address the issue of insufficient diagnostic efficiency in thyroid cancer during surgery. Firstly, through the self-developed thyroid nodule hyperspectral collection system, a large number of diverse thyroid nodule samples were obtained. These thyroid nodule samples were collected through the hyperspectral collection system during thyroidectomy surgery, providing a foundation for subsequent diagnosis. We propose a benign and malignant classification method based on hyperspectral data blocks of thyroid nodules to better meet clinical needs. Meanwhile, using 3D CNN and VGG networks, we designed a neural network algorithm for classifying three-dimensional hyperspectral cubes. The classification accuracy of benign and malignant samples reached 84.63%. Overall, we have effectively classified the benign and malignant thyroid nodules using a collection system and data.</p>
Untargeted metabolomic analysis of thyroid cancer and benign thyroid nodule
<p>Thyroid cancer (TC) is the most common endocrine malignancy with increasing incidence in recent years. Fine-needle aspiration biopsy (FNAB), as a quick and cost-effective method, serves as a gold standard for initial evaluation of thyroid nodules. However, this technique fails to cover all the cytopathologic conditions resulting in a high rate of indeterminate results. There is an urgent need for better classification of thyroid cancer from benign thyroid nodule (BTN). Here, we conducted untargeted metabolomics in 25 plasma samples from 10 patients with TC and 15 patients with BTN.</p>
MWA vs RFA for the Treatment of Moderate-sized Benign Thyroid Nodules
ClinicalTrials.gov study NCT06426563. IPD Sharing: UNDECIDED. Countries: 1. Publications: 10.
Role of TIRADS and Bethesda Scoring Systems in Management of Thyroid Nodules
ClinicalTrials.gov study NCT06417463. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Spinal Needles in Ultrasound-guided Fine Needle Aspirations From Thyroid Nodules
ClinicalTrials.gov study NCT04879355. IPD Sharing: YES. Countries: 1. Publications: 1.
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Thyroid Nodules
ClinicalTrials.gov study NCT03887611. IPD Sharing: NO. Countries: 1. Publications: 1.
Study on HRQOL and Cost-effectiveness Analysis in Management of Patients With <2cm Thyroid Nodules
ClinicalTrials.gov study NCT02398721. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Radiofrequency Ablation for the Treatment of Benign Thyroid Nodules: A Prospective Study
ClinicalTrials.gov study NCT07115576. IPD Sharing: NO. Countries: 1. Publications: 1.
A Prospective Evaluation of High Intensity Focused Ultrasound (HIFU) in the Treatment of Benign Thyroid Nodules
ClinicalTrials.gov study NCT02658552. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Prediction of Thyroid Cancer From Ultrasonographic Characteristics of Thyroid Nodules
ClinicalTrials.gov study NCT00571090. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Percutaneous Thermo-ablation for the Treatment of Benign Thyroid Nodules: a Prospective Multicentric Study
ClinicalTrials.gov study NCT07237373. IPD Sharing: Not stated. Countries: 1. Publications: 23.
Shear Wave Ultrasound Elastography in Noninvasive Diagnosis of Thyroid Nodules
ClinicalTrials.gov study NCT01757834. IPD Sharing: Not stated. Countries: 1. Publications: 22.
Laser Ablation Versus Radiofrequency Ablation for Thyroid Nodules
ClinicalTrials.gov study NCT02714946. IPD Sharing: NO. Countries: 1. Publications: 5.
Active Surveillance Program in Thyroid Nodules
ClinicalTrials.gov study NCT06653257. IPD Sharing: UNDECIDED. Countries: 1. Publications: 12.
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