Thyroid Nodules Cytopathology Applying the Bethesda System with Histopathological Correlation

Saudi Journal of Medicine & Medical Sciences
Hawazen A ZarifMohamed B Satti

Abstract

Fine-needle aspiration cytology remains a valuable screening tool for preoperative management of thyroid nodules. However, the rates of false-negative and false-positive diagnosis remain a challenge for pathologists. To assess the value of thyroid fine-needle aspiration as a screening tool and its accuracy of diagnoses relative to final histological diagnoses. A chart review was conducted of all adult patients who underwent fine-needle aspiration of thyroid nodule(s) and were subjected to thyroid surgery at King Abdulaziz Medical City, Jeddah, Saudi Arabia, between January 2007 and June 2014. The fine-needle aspiration results were correlated with final histopathology results. Of the 408 aspirates from 373 patients, the Bethesda System for Reporting Thyroid Cytology (BSRTC) diagnostic categories were as follows: nondiagnostic in 26 aspirates (6.4%); benign in 128 (31.4%); atypia/follicular lesion of undetermined significance in 52 (12.7%); follicular neoplasm/suspicion for a follicular neoplasm in 83 (20.3%); suspicious for malignancy in 23 (5.6%) and malignant in 96 (23.5%). The comparative histopathological diagnoses were benign in 192 (47.1%) and malignant in 216 (52.9%) aspirates. The calculated risk of malignancy in the fi...Continue Reading

Citations

Jun 12, 2020·Indian Journal of Surgical Oncology·Hadi A Al-HakamiMohammed A Al Garni
Oct 25, 2020·Cytopathology : Official Journal of the British Society for Clinical Cytology·Saira FatimaArsalan Ahmed
Apr 30, 2021·Cytopathology : Official Journal of the British Society for Clinical Cytology·Tibor MezeiPhilippe Vielh

❮ Previous
Next ❯

Methods Mentioned

BETA
biopsy
biopsies

Software Mentioned

SPSS

Related Concepts

Related Feeds

Cancer Vaccines

Cancer vaccines are vaccines that either treat existing cancer or prevent development of a cancer.

Cancer Disparities

Cancer disparities refers to differences in cancer outcomes (e.g., number of cancer cases, related health complications) across population groups.