RESUMO
Introduction Fine needle aspiration cytology (FNAC) plays a vital role in the diagnosis of thyroid nodules. However, it is challenging due to the heterogeneity of thyroid nodules, overlapping cytomorphological features, and interobserver variability. Cytomorphometric analysis turns subjective observations into quantitative values. In this study, we performed cytomorphometric image analysis on cytological smears of thyroid nodules, classified according to The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC). Materials and methods A retrospective analysis of Papanicolaou (PAP) and Hematoxylin & Eosin (H&E) stained fine needle aspirate smears from 50 patients with thyroid nodules with available follow-up histopathology was performed for a period of two years (March 2021 - March 2023), after obtaining approval from the institutional human ethical committee (IHEC-LOP/2020/IM0355). The nodules were categorized according to TBSRTC and were then subjected to cytomorphometric image analysis. Each nucleus was analyzed for 14 parameters, including aspect ratio, intensity, diameter, perimeter, roundness, area, fractal dimension, feret diameter, circularity, radii, fournier description, and chromatin texture parameters such as heterogeneity and clumpiness. The data obtained was analyzed through relevant statistical methods using SPSS version 23 (IBM Inc., Armonk, New York) and was compared by using the analysis of variance (ANOVA) test and post hoc test. Results Our results revealed that cytomorphometric image analysis not only distinguishes benign and malignant thyroid nodules but also can aid in categorizing thyroid nodules with predominant follicular patterns, such as follicular variant of papillary carcinoma, follicular adenoma and follicular carcinoma (p<0.001). Conclusions Morphometric analysis of cytological smears combined with cytomorphology has the potential to be an important tool in the diagnosis of thyroid nodules. It can improve diagnostic accuracy for better treatment and improved prognosis.
RESUMO
Objectives: Diagnosis of pancreatic lesions remains a clinical challenge. Early and accurate diagnosis is extremely important for improving the therapeutic usefulness of pancreatic cancers and Endoscopic ultrasonography - fine needle aspiration (EUS-FNA) cytology has come up with this advantage. For current study the authors evaluated the diagnostic accuracy of EUS-FNAC by applying PSC system for reporting pancreaticobiliary cytology and Calculated the malignancy risk associated with the diagnostic categories. Material and Methods: A retrospective study over the period of 2.5 years (April 2017 to Oct 2019) 60 patients in our cohort EUS-FNAC guided unstained fixed and unfixed slides received of pancreatic lesion and were stained with Papanicolau and Giemsa using standard technique and immunocytochemistry, where required Application of Papanicolaou Society of Cytopathology system for reporting pancreaticobiliary cytology Histopathological and clinical follow-up were retrieved. Results: Our study has comparable results with sensitivity, specificity, PPV, and NPV of 92.8%, 100%, 100%, and 92.59%, respectively. Fuurthermore, a diagnostic accuracy of 96.2%. Risk of malignancy is lower for benign and indeterminate category whereas it is higher for suspicious and malignant categories. Conclusion: The application of the new proposed terminology for pancreaticobiliary cytology brings standardization. Final diagnosis can be reached by the multidisciplinary approach of EUS-FNA cytology, cell block preparation, immunocytochemistry, and immunohistochemistry; if required, can be adopted as an alternative approach to biopsy. The present study showed high sensitivity and specificity for EUS-FNA in the diagnosis of pancreatic carcinoma, which may influence the treatment plans of both surgeons and oncologists.
