DIAGNOSTIC EFFICACY OF FNAC IN THYROID LESIONS, CLASSIFIED ACCORDING TO BETHESDA SYSTEM WITH CYTOHISTOLOGICAL CORRELATION

Objective: The objective of the study is to estimate the diagnostic accuracy (DA) of fine needle aspiration cytology (FNAC) in thyroid lesions with cytohistological correlation. Methods: The study was a cross-sectional study which was conducted in the Department of Pathology, Rabindranath Tagore Medical College, M.B.G. Hospital, Udaipur, Rajasthan, from December 2022 to December 2023. A total of 201 thyroid aspirations were performed, and the smears were classified according to The Bethesda system. Cytological and histopathological findings were compared in 132 cases that proceeded to surgery. Sensitivity, specificity, negative predictive value (NPV), positive predictive value, and DA were calculated using standard statistical methods. Results: The distribution of thyroid lesions on cytology was as follows: Non-diagnostic (1%), benign (92%), atypia of unknown significance (1%), follicular neoplasia (3%), suspicious for malignancy (2%), and malignant (1%). The sensitivity, specificity, positive predictive value, NPV, and DA in our study were 78.94%, 100%, 100%, 96%, and 96.9%, respectively. Conclusion: FNAC’s cost-effectiveness, patient-friendly nature, swift results, and high sensitivity, specificity, and accuracy render it a primary diagnostic tool for assessing patients with thyroid swelling preoperatively. The Bethesda system categorizes thyroid lesions cytologically, aiding in their diagnosis and subsequent management. Histopathological correlation facilitates the assessment of DA and ensures quality assurance.

Authors

Institutions

Publication Details

Journal
Asian Journal of Pharmaceutical and Clinical Research
Published
2024-11-07
DOI
https://doi.org/10.22159/ajpcr.2024v17i11.52112
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIAGNOSTIC EFFICACY OF FNAC IN THYROID LESIONS, CLASSIFIED ACCORDING TO BETHESDA SYSTEM WITH CYTOHISTOLOGICAL CORRELATION

Sandhya Bordia, Seema Meena, Pooja Kanwat, PRAGYA JAKHAR et al.
Asian Journal of Pharmaceutical and Clinical Research
Thyroid Cancer Diagnosis and Treatment
article

DIAGNOSTIC EFFICACY OF FNAC IN THYROID LESIONS, CLASSIFIED ACCORDING TO BETHESDA SYSTEM WITH CYTOHISTOLOGICAL CORRELATION

Sandhya Bordia, Seema Meena, Pooja Kanwat, PRAGYA JAKHAR, KIRAN KUMARI MEENA
article en

Abstract

Objective: The objective of the study is to estimate the diagnostic accuracy (DA) of fine needle aspiration cytology (FNAC) in thyroid lesions with cytohistological correlation. Methods: The study was a cross-sectional study which was conducted in the Department of Pathology, Rabindranath Tagore Medical College, M.B.G. Hospital, Udaipur, Rajasthan, from December 2022 to December 2023. A total of 201 thyroid aspirations were performed, and the smears were classified according to The Bethesda system. Cytological and histopathological findings were compared in 132 cases that proceeded to surgery. Sensitivity, specificity, negative predictive value (NPV), positive predictive value, and DA were calculated using standard statistical methods. Results: The distribution of thyroid lesions on cytology was as follows: Non-diagnostic (1%), benign (92%), atypia of unknown significance (1%), follicular neoplasia (3%), suspicious for malignancy (2%), and malignant (1%). The sensitivity, specificity, positive predictive value, NPV, and DA in our study were 78.94%, 100%, 100%, 96%, and 96.9%, respectively. Conclusion: FNAC’s cost-effectiveness, patient-friendly nature, swift results, and high sensitivity, specificity, and accuracy render it a primary diagnostic tool for assessing patients with thyroid swelling preoperatively. The Bethesda system categorizes thyroid lesions cytologically, aiding in their diagnosis and subsequent management. Histopathological correlation facilitates the assessment of DA and ensures quality assurance.

Asian Journal of Pharmaceutical and Clinical Research
Rabindranath Tagore Medical College (IN)
Openalex Percentile: Top 67%
Thyroid Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.