Background: Data on thyroid imaging reporting and data system (TI-RADS) generally belong to studies performed in adults. Therefore, we aimed to evaluate the performance and utility of TI-RADS in the pediatric group.
Materials And Methods: From January 2015 to 2018, 108 nodules were evaluated in 1028 thyroid ultrasound examinations. Images were retrospectively evaluated by two radiologists with 3 and 7 years of pediatric radiology experience, according to TI-RADS classification. Morphological findings of the detected nodules and their histopathological results were recorded. Histopathological findings and at least 12 months of follow-up imaging were taken as reference.
Results: Seventy-one patients were female (67%). The mean age was 11.4 ± 4.7, and the mean nodule size was 7.4 ± 8.3 mm. According to the histopathological assessment and at least 12 months' follow-up with clinical and sonographic stability 100 (95.2%) of the nodules were benign and 5 (4.8%) were malignant. Two nodules, nondiagnostic cytology and 1 nodule were found to be suspicious for malignancy. All malignant nodules were in the TI-RADS 5 category. The majority of benign nodules (79%) were found in low TI-RADS categories. About 80% of the malignant nodules were very hypoechoic and taller than wide in shape, also all malignant nodules had microcalcifications ( = 0.000). The sensitivity of TI-RADS was 100%, specificity was 78.8%, positive predictive value (PPV) was 19.2%, and negative predictive value (NPV) was 100%.
Conclusion: According to our study, TI-RADS system can be used to evaluate thyroid nodules in pediatric patients similar to adults.
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http://dx.doi.org/10.4103/JMU.JMU_35_19 | DOI Listing |
Radiology
January 2025
From the Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 (Y.Z., D.F.Y., C.I.H.); and Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China (Y.Z.).
Lung cancer is the leading cause of cancer deaths globally. In various trials, the ability of low-dose CT screening to diagnose early lung cancers leads to high cure rates. It is widely accepted that the potential benefits of low-dose CT screening for lung cancer outweigh the harms.
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January 2025
Division of Endocrine Surgery, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, Hong Kong.
Cytologically indeterminate thyroid nodules (Bethesda class III or IV) carry a 10-40% risk of malignancy. Diagnostic lobectomies are frequently performed but negative surgeries incur unnecessary costs on the healthcare system, potential complications, and negative impacts on quality of life. Molecular tests (MTs) have been developed to reduce unnecessary surgeries.
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December 2024
Hematology and Medical Oncology, University of Kentucky College of Medicine, Lexington, USA.
Carcinoma of unknown primary (CUP) is a diverse group of malignancies characterized by metastatic disease without an identified primary site. It typically presents with a poor prognosis due to widespread metastasis at diagnosis. This report discusses a 58-year-old female patient with advanced CUP and diffuse liver metastasis.
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December 2024
Department of Medicine, Ministry of National Guard-Health Affairs, Riyadh, SAU.
Background Thyroid nodules are typically an initial sign of thyroid cancer (TC) and require evaluation by thyroid ultrasonography. Additional measures, such as fine needle aspiration, may be necessary depending on the level of malignancy risk. This study aims to comprehensively analyze TC clinical, radiological, and histopathological characteristics in a cohort of Saudi patients.
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January 2025
Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China.
Percutaneous transthoracic puncture of small pulmonary nodules is technically challenging. We developed a novel electromagnetic navigation puncture system for the puncture of sub-centimeter lung nodules by combining multiple deep learning models with electromagnetic and spatial localization technologies. We compared the performance of DL-EMNS and conventional CT-guided methods in percutaneous lung punctures using phantom and animal models.
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