Fine needle aspiration cytology (FNAC) reduces the number of unnecessary thyroid surgeries for patients with benign nodules and appropriately triages patients with thyroid cancer to appropriate treatment. This was a observational study done on cases presenting with clinical suspicion of thyroid malignancy which underwent ultrasonography followed by FNAC of thyroid nodule. Ultrasonographic characterization of nodules was based on Thyroid Imaging Reporting and Data System (TIRADS) and cytology reporting was based on Bethesda system. All recruited patients underwent thyroidectomy. Pre-operative cytology and ultrasonography features were compared with final histopathology report. In our study, Bethesda system of cytology reporting for thyroid nodules had a better sensitivity, specificity and diagnostic accuracy than TIRADS system of ultrasound reporting. Bethesda system in FNAC had a larger area under the ROC curve (0.91) as compared to ultrasound TIRADS (0.70). Malignancy rate of TIRADS 5 nodules was 97.1% with significant value (0.022). 100% of Bethesda VI lesions were malignant according to final histopathology report. Ultrasound TIRADS could pre-operatively predict malignancy in 63.6% of indeterminate thyroid nodules which were malignant according to post-operative histopathology. The overall concordance of ultrasound TIRADS, Bethesda system and histopathology was 69.8%. Higher TIRADS and Bethesda scoring among thyroid nodules was associated with increased risk of malignancy. US TIRADS is a good predictor of malignancy in indeterminate thyroid nodules.
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http://dx.doi.org/10.1007/s12070-021-02380-8 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Department of Radiology, University of Chicago, Chicago, IL, USA.
Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
From the Division of Interventional Radiology, Beth Israel Deaconess Medical Center-Harvard Medical School, 1 Deaconess Rd, Rosenberg 3, Boston, MA 02215.
Dan Med J
November 2024
Department of Otorhinolaryngology - Head and Neck Surgery and Audiology, Aalborg University Hospital.
Introduction: Shared decision-making (SDM) enables individually tailored treatment plans. This survey explored patients' and surgeons' perceptions of SDM in consultations on thyroid nodules. Furthermore, we aimed to explore possible discrepancies between the groups, identify factors influencing patients' perceived levels of SDM and evaluate decisional regret.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
Department of Otolaryngology-Head and Neck Surgery, Beilinson Hospital, Rabin Medical Center.
Thyroid lobectomy has gained increasing popularity over the past decade as a treatment for differentiated thyroid cancer (DTC), largely due to a rise in the diagnosis of low-risk cancers and evidence showing no benefit from radioiodine in low-risk disease. Multiple studies have confirmed lobectomy as an effective and safe option. Its advantages over total thyroidectomy include lower complication rates and a reduced need for lifelong levothyroxine (LT4) therapy.
View Article and Find Full Text PDFLaryngoscope
December 2024
Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.
Objective: This systematic review seeks to evaluate the prevalence of local symptoms in patients with benign thyroid disease as described in the literature.
Data Sources: A literature search was conducted across PubMed, Embase, Medline, and Cochrane databases.
Review Methods: Crude symptom prevalence was obtained by addition of data across studies that reported local symptoms, and adjusted symptom frequency was calculated using a random effects model.
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