Ultrasound-Based Risk Stratification System for the Assessment of Partially Cystic Thyroid Nodules |
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| Institution: | 1. The Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China;2. Department of Ultrasonography, Yuhang Third People’s Hospital, Hangzhou, China;3. Department of Ultrasonography, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China;1. Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan;2. Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland;1. Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China;2. The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China;1. Mayo Clinic Department of Medicine, Division of Endocrinology, Diabetes, Nutrition Rochester, Minnesota;2. Midwest Endocrinology, Crystal Lake, Illinois;3. Mayo Clinic Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Jacksonville, Florida;1. Department of Pharmacy Practice, College of Clinical Pharmacy, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia;2. Department of Clinical Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia;3. Center for Health Outcomes & PharmacoEconomic Research, University of Arizona, Tucson, Arizona;4. Department of Pharmacy Practice, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Saudi Arabia;5. Department of Pharmacy Practice, King Abdulaziz University Faculty of Pharmacy, Jeddah, Saudi Arabia;6. Banner—University Medicine Endocrinology and Diabetes Clinic, Tucson, Arizona;7. Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, College of Medicine, Tucson, Arizona;8. Department of Pharmacy Practice & Science, College of Pharmacy, The University of Arizona, Tucson, Arizona;1. Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of New Mexico, Albuquerque, New Mexico;2. Department of Family and Community Medicine, University of New Mexico, Albuquerque, New Mexico;3. University of New Mexico College of Pharmacy, Albuquerque, New Mexico;4. University of New Mexico Health Sciences Center, Albuquerque, New Mexico |
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| Abstract: | ObjectiveTo develop and validate a risk stratification system for the prediction of malignancy in partially cystic thyroid nodules (PCTNs).MethodsWe retrospectively reviewed the sonography data of patients with PCTNs from 2 medical centers—Hangzhou Traditional Chinese Medicine Hospital and Hangzhou First People’s Hospital—from January 2020 to December 2021. The independent risk factors for malignant PCTNs were evaluated using the univariate and multivariate logistic regression analyses. The nomogram prediction efficiency was assessed using the area under the curve and calibration curves. The decision curve analysis was used to determine the clinical value of the predictive model.ResultsA total of 285 patients were enrolled in this retrospective study, and of 301 PCTNs, 242 were benign and 59 were malignant. Younger age, hypoechoic, irregular margin, and microcalcifications were found to be the independent risk factors for malignant PCTNs. The area under the curve, sensitivity, and specificity were 0.860, 77.1%, and 84.7% in the training data set and 0.897, 91.7%, and 87.0% in the external validation data set, respectively. The total point of nomogram was >161, which showed the best to predict malignancy in PCTNs.ConclusionOur findings demonstrated that the risk stratification system for the assessment of PCTNs showed good prediction capacities. |
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| Keywords: | PCTNs ultrasound features prediction model nomogram ACR"} {"#name":"keyword" "$":{"id":"kwrd0035"} "$$":[{"#name":"text" "_":"American College of Radiology FNA"} {"#name":"keyword" "$":{"id":"kwrd0045"} "$$":[{"#name":"text" "_":"fine needle aspiration PCTN"} {"#name":"keyword" "$":{"id":"kwrd0055"} "$$":[{"#name":"text" "_":"partially cystic thyroid nodule TI-RADS"} {"#name":"keyword" "$":{"id":"kwrd0065"} "$$":[{"#name":"text" "_":"Thyroid Imaging Reporting & Data Systems |
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