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Background: Thyroid fine needle aspiration cytology (FNAC) is an important diagnostic tool for thyroid disorders. The Bethesda technique for Reporting Thyroid Cytopathology (TBSRTC) is an unambiguous, six-category reporting system for thyroid fine needle aspiration (FNA) that is widely acknowledged as a standard reporting guideline for institutes across continents which can minimize needless surgeries. Material and Methods: The study was carried out at the Pathology Department of the Assam Medical College and Hospital, Dibrugarh, Assam, India, from March 2023 to February 2024. The aim is to study the different cytological pattern in thyroid lesion by FNAC The results are interpreted using the features and categories specified in the TBSRTC. A total of 182 cases were studied. The distribution of the various categories from evaluated thyroid FNAs are as follows: nondiagnostic/unsatisfactory-8.2%, benign-75.9%, atypia of undetermined significance-6.0%,follicular neoplasm (FN) or suspicious for a FN-4.3%,suspicious for malignancy - 1%, malignant - 4.3%.Conclusion: The results of a FNA according to The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) give a standard and systematic approach to managing these nodules. Its standardized nomenclature enhanced thyroid FNAC reporting by facilitating communication and interlaboratory agreement among cytopathologists and clinicians, potentially leading to more standardized patient care management. [ABSTRACT FROM AUTHOR]

Objective: Thyroid fine‐needle aspiration (FNA) is a principal diagnostic procedure for thyroid nodules. A specific cytomorphological structure, known as the thyroid spherule, is often seen in FNA specimens. The clinical significance of these spherules in terms of diagnosis and prevalence remains largely unexplored. Methods: We performed a retrospective study on 310 thyroid FNA specimens and categorized them according to the Bethesda System for Reporting Thyroid Cytopathology. The presence, size and number of thyroid spherules in each specimen were examined and these data were subsequently correlated with the clinicopathological features. Results: Thyroid spherules were almost exclusively detected in benign cases, comprising 7.6% of all benign diagnoses. The average diameter of spherules in benign cases was 84.9 μm. Benign cases and cases with atypia of undetermined significance cases primarily exhibited low cellularity, while follicular neoplasms and malignant cases typically showed moderate to high cellularity. In the subgroup of FNA cases with moderate to high cellularity, spherules were identified in 12 (20%) of 59 benign FNA cases. Within this group, the sensitivity and specificity of thyroid spherules for detecting benign FNA cases were 20% and 100%, respectively. Conclusions: Our results suggest that the presence of thyroid spherules in FNA specimens can serve as a highly specific marker for benign thyroid conditions. The prevalence of spherule detection is strongly influenced by the cellularity. In cases with moderate to high cellularity, the identification of spherules can assist the cytopathologists in diagnosing thyroid FNA cases as benign. [ABSTRACT FROM AUTHOR]

Background: Molecular testing (MT) has become standard practice to more accurately rule out malignancy in indeterminate Bethesda III (BIII) thyroid lesions. We sought to assess the adoption of this technology and its impact on cytology reporting, malignancy yield, and rates of surgery across community and academic sites affiliated with a tertiary medical center. Methods: We performed a retrospective cross-sectional study including all fine-needle aspirations (FNAs) analyzed at our institution from 2017 to 2021. We analyzed trends in MT utilization by platform and by community or academic site. We compared BIII call rates, MT utilization rates, rates of subsequent surgery, and malignancy yield on final pathology before and after MT became readily available using chi-square analysis and linear regression. Results: A total of 8960 FNAs were analyzed at our institution from 2017 to 2021. There was broad adoption of MT across both community and academic sites. There was a significant increase in both the BIII rate and the utilization of MT between the pre- and post-MT periods (p < 0.001 and p < 0.001). There was no significant change in the the malignancy yield on final pathology (57.1% vs. 50.0%, p = 0.347), while the positive predictive value of MT decreased from 85% to 50% (p = 0.008 [confidence interval 9.5–52.5% decrease]). Conclusions: The use of MT increased across the institution over the study period, with the largest increase seen after a dedicated pass for MT was routinely collected. This increased availability of MT may have led to an unintended increase in the rates of BIII lesions, MT utilization, and surgery for benign nodules. Physicians who use MT should be aware of potential consequences of its adoption to appropriately counsel patients. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to study approaches to the intellectual processing of Russianlanguage textual medical information concerning the thyroid cytopathology description to solve the issues of their classification and generation of the text of the medical report, as well as augmentation of descriptions in their acute shortage. Over the past decade, the field of biomedicine has not undergone significant changes. Approaches to analyzing patients' problems are mostly based on manual processing and expert knowledge of doctors. The paper considers the creation of a machine-learning pipeline containing a full cycle of data preprocessing and model training in the field of thyroid nodules fine-needle aspiration classification according to the Bethesda thyroid cytopathology reporting system. Sequential and transformer neural networks were used to design the architecture of deep learning models. The paper proposes approaches for cleaning and preprocessing raw medical descriptions to the required type. The obtained results show that sequential neural networks have greater accuracy on small data sets, and transformation architectures are superior to others when generating cytopathological reports on large amounts of data. The solution obtained in the study can be used as an additional reference tool for thyroid cytologists. [ABSTRACT FROM AUTHOR]

Background: The Bethesda System for Reporting Thyroid Cytopathology is a commonly used classification for fine needle aspiration (FNA) cytology of suspicious thyroid nodules. The risk of malignancy (ROM) for each category has recently been analyzed in three international databases. This paper compares the diagnostic performance of the Bethesda classification in a high‐volume referral center in Belgium. Methods: All consecutive thyroid procedures were registered in a prospective database from January 2010 till August 2022. Patient and surgical characteristics, preoperative Bethesda categories, and postoperative pathology results were analyzed. Results: Out of 2219 consecutive thyroid procedures, 1226 patients underwent preoperative FNA. Papillary thyroid cancer was the most prevalent malignancy (N = 119, 70.4%), followed by follicular (N = 17, 10.1%) and medullary thyroid cancer (N = 15, 8.9%). Micropapillary thyroid cancer was incidentally found in 46 (3.8%) patients. Bethesda categories I, II, III, IV, V, and VI, respectively, represented 250 (20.4%; ROM 4.4%), 546 (44.5%; ROM 3.8%), 96 (7.8%; ROM 20.8%), 231 (18.8%; ROM 15.2%), 62 (5.1%; ROM 72.6%), and 41 (3.3%; ROM 90.2%) patients. Overall ROM was 13.8%. An negative predictive value (NPV) of 96.2% was found. Overall specificity was 64.2% with a positive predictive value (PPV) of 31.9%. Diagnostic accuracy was 67.8%. Compared to international databases (CESQIP, EUROCRINE, and UKRETS), ROM in this study appeared lower for Bethesda category IV (15.2 vs. 26.7% and p = 0.612). Conclusion: Despite being validated in numerous studies, ROM based on preoperative FNA cytology classified according to the Bethesda classification may vary among surgical centers and countries as this study reveals a higher NPV and lower PPV. [ABSTRACT FROM AUTHOR]

Background: Fine-Needle Aspiration Cytology (FNAC) is a valuable, minimally invasive diagnostic tool for discerning benign and malignant thyroid lesions. In the realm of thyroid cytopathology, both the traditional approach and the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) are widely utilized for diagnosing and categorizing these lesions. Aims and Objectives: This study aims to classify thyroid cytology smears using both the conventional method and the Bethesda system and to compare their findings with histopathological diagnoses. Method and Materials: A hospital-based cross-sectional study was conducted over one year, spanning from February 1, 2022, to January 31, 2023. We included 191 cases of FNAC thyroid lesions and categorized them following the guidelines of both the conventional system and the Bethesda system for reporting thyroid cytopathology. Sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy for both systems were calculated, with histopathology serving as the gold standard for comparison. Furthermore, we calculated the Risk of Malignancy (ROM) for each category within the Bethesda system. Results: The Bethesda system exhibited a notably high sensitivity of 83.33%, surpassing the conventional method's sensitivity of 50%, while both systems shared the same specificity of 90%. The diagnostic accuracy of the Bethesda system, at 89.13%, outperformed that of the conventional method, which stood at 84.78%. Conclusion: This study demonstrates a strong positive correlation with histopathology, indicating high sensitivity, specificity, and accuracy when employing TBSRTC, in contrast to the conventional method. [ABSTRACT FROM AUTHOR]

Objectives: To correlate the screening ability of ultrasound-based TIRADS with the FNAC-based Bethesda system when the latter is kept as a gold standard. Material and methods: A cross-sectional study was conducted in the Histopathology department, Rehman Medical Institute, Peshawar 15th June 2022-14th June 2023. A total of 363 patients from any age group of either gender diagnosed with thyroid nodules were included in the trial. All the participants underwent ultrasound followed by ultrasound-guided fine needle aspiration of thyroid nodules. TIRADS and Bethesda grading was done for each participant. Demographics and grading scores were recorded. Keeping Bethesda scoring as gold standard diagnostic performance of TIRADS grading was calculated. Results: Mean age of the patients was 46.68 ± 12.28 years with a female-to-male ratio of 2.3:1. TIRADS grading revealed 210 (69.8%) from TIRADS 2 while 70(82.4%), 12(50%), and 09(23.7%) patients were from TIRADS 3, 4 and 5 categories respectively. Bethesda grades were 301(82.9%), 21(5.8%), 09(2.5%), 28(7.7%), and 04(1.1%) from Bethesda 2, 3, 4, 5, and 6 categories respectively. The sensitivity of the TIRADS was 93.8%, specificity 89.1%, positive predictive value 45%, negative predictive value 99.3%, and a diagnostic accuracy of 89.5%. Conclusion: TIRADS grading has a high diagnostic ability when Bethesda scoring is kept as the gold standard. It can be used effectively in segregating benign from malignant nodules and is recommended for screening patients presenting with thyroid nodules. [ABSTRACT FROM AUTHOR]