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Cureus | The Importance of the Thyroid Nodule Location in Determining the Risk of Malignancy: A Retrospective Study

Introduction

Thyroid nodules are very common. However, the majority of thyroid nodules are benign. Ultrasound is the first-line imaging investigation of choice for thyroid nodules. Certain sonographic features are associated with an increased risk of malignancy. Recent studies suggested that the location of the nodule may be associated with the malignancy risk. Hence, this study aims to investigate this association.

Methods

After obtaining approval from the ethics committee, we conducted a retrospective study that involved all patients who attended our hospital, and who underwent fine-needle aspiration cytology for the evaluation of suspicious thyroid nodules (TR3-5). Electronic medical records were used to obtain data about the ultrasound and cytology reports. A multivariable binary logistic regression analysis model was conducted to identify the independent factors significantly associated with malignant thyroid nodules.

Results

The study ....

Saudi Arabia , United States , Eastern Province , Ash Sharqiyah , Age Group , American College Of Radiology , Statistical Package For The Social Sciences , Thyroid Imaging Reporting , Data System , American College , King Fahd Hospital , Microsoft Excel , Statistical Package , Social Sciences , Thyroid Imaging , Malignant Thyroid , Factors Associated ,

Cureus | The Pattern of Thyroid Malignancy and Its Associated Characteristics Among United Arab Emirates Population With More Focus on Patients in the Bethesda III Category

Introduction: Thyroid cancer is the most prevalent endocrine cancer worldwide. It is the second most common type of cancer among United Arab Emirates (UAE) women and ranks as the sixth most common type of cancer overall among the UAE population. There are limited studies in the UAE related to thyroid malignancy. This study aimed to determine the pattern of thyroid malignancy among the UAE population and its associated characteristics, with more emphasis on patients categorized as Bethesda III by cytopathology, and furthermore, to determine the significance of advanced diagnostic methods in the assessment of thyroid nodules.

Methods: A retrospective review of the electronic medical charts of adult patients (age 18 and above) who were diagnosed with a thyroid nodule by ultrasound during the years 2019 and 2020. It is a comparative study of different variables associated with thyroid nodules and thyroid malignancy.

Results: A total of 1072 patients were diagnosed with th ....

United Arab Emirates , United Kingdom , United States , Abu Dhabi , British Thyroid Association , American College Of Radiology , International Oncology Conference , Thyroid Imaging Reporting , Data System , American College , Bethesda System , Reporting Thyroid Cytopathology , Mafraq Hospital , Sheikh Shakhbout Medical City , Middle East , British Thyroid Guidelines ,

AI Platform Near Perfect for Predicting Thyroid Malignancy

High precision for T stage, extracapsular extension, BRAF mutation ....

United States , Anniew Chan , Charles Bankhead , Cancer Center , Mass General Cancer Center , Multidisciplinary Head , Neck Cancers Symposium , Thyroid Imaging Reporting , Data System , Medpage Today , Neck Cancers , Nt Stage , Thyroid Nodule , Thyroid Imaging ,

AI Platform Near Perfect for Predicting Thyroid Malignancy

High precision for T stage, extracapsular extension, BRAF mutation ....

United States , Anniew Chan , Charles Bankhead , Cancer Center , Mass General Cancer Center , Multidisciplinary Head , Neck Cancers Symposium , Thyroid Imaging Reporting , Data System , Medpage Today , Neck Cancers ,

AI model could be a low-cost, non-invasive option for thyroid cancer screening and staging

A new study finds that an artificial intelligence (AI) model incorporating multiple methods of machine learning accurately detects thyroid cancer and predicts pathological and genomic outcomes through analysis of routine ultrasound images. ....

United States , Jannie Chan , Emily Henderson , Neck Radiation Oncology Research Program , Cancer Center , Neck Cancers , Senior Author , Mass General Cancer , Thyroid Imaging Reporting , Data System , Plenary Session , Artificial Intelligence , Thyroid Cancer , Machine Learning , Radiation Therapy ,