Reproducibility of the Bethesda system for reporting thyroid cytopathology (TBSRTC): An observational study of 100 patients

: FNAC is the most commonly used screening test to classify patients with thyroid nodules into six Bethesda categories (category I-VI) and for therapeutic decision making. The 2023 edition of TBSRTC, further simplifies these categories, using single name and describing more clear diagnostic criteria for each of the categories. The aim of this study is to investigate the interobserver reproducibility and usefulness of this classification scheme. : FNAC smears from 100 patients with thyroid nodules from october 2022 to September 2024, over a period of 2 years were analysed retrospectively, which were reviewed and reclassified by two pathologists independently according to 2023 TBSRTC. The interobserver reproducibility was statistically assessed using Cohen’s kappa. : Interobserver agreement was seen in 95 cases (95%) and disagreement was seen in 5 cases (5%). The concordance rate was 100% in the Bethesda I and Bethesda VI, 95% (76 cases) in Bethesda II, 66% (02 cases) in Bethesda III, 66% (08 cases) in Bethesda IV and 66% (02 cases) in Bethesda V. So, interobserver variation was seen among Bethesda II, III, IV and V. Overall Cohen’s kappa value showed excellent agreement. : TBSRTC should be encouraged in our country because it reduces interoberver variability. Although there is excellent interobserver agreement seen in this study, disagreements were seen in the Bethesda categories II, III, IV and V, which corroborated with the findings of the studies done elsewhere.

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Journal
Indian Journal of Pathology and Oncology
Published
2024-12-12
DOI
https://doi.org/10.18231/j.ijpo.2024.082
Primary Topic
Thyroid Cancer Diagnosis and Treatment
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article
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article

Reproducibility of the Bethesda system for reporting thyroid cytopathology (TBSRTC): An observational study of 100 patients

Reena Naik, Kishori Moni Panda, Mohd Ghouse Mohiddin
Indian Journal of Pathology and Oncology
Thyroid Cancer Diagnosis and Treatment
article

Reproducibility of the Bethesda system for reporting thyroid cytopathology (TBSRTC): An observational study of 100 patients

Reena Naik, Kishori Moni Panda, Mohd Ghouse Mohiddin
article en

Abstract

: FNAC is the most commonly used screening test to classify patients with thyroid nodules into six Bethesda categories (category I-VI) and for therapeutic decision making. The 2023 edition of TBSRTC, further simplifies these categories, using single name and describing more clear diagnostic criteria for each of the categories. The aim of this study is to investigate the interobserver reproducibility and usefulness of this classification scheme. : FNAC smears from 100 patients with thyroid nodules from october 2022 to September 2024, over a period of 2 years were analysed retrospectively, which were reviewed and reclassified by two pathologists independently according to 2023 TBSRTC. The interobserver reproducibility was statistically assessed using Cohen’s kappa. : Interobserver agreement was seen in 95 cases (95%) and disagreement was seen in 5 cases (5%). The concordance rate was 100% in the Bethesda I and Bethesda VI, 95% (76 cases) in Bethesda II, 66% (02 cases) in Bethesda III, 66% (08 cases) in Bethesda IV and 66% (02 cases) in Bethesda V. So, interobserver variation was seen among Bethesda II, III, IV and V. Overall Cohen’s kappa value showed excellent agreement. : TBSRTC should be encouraged in our country because it reduces interoberver variability. Although there is excellent interobserver agreement seen in this study, disagreements were seen in the Bethesda categories II, III, IV and V, which corroborated with the findings of the studies done elsewhere.

Indian Journal of Pathology and OncologyVol. 11(4)
Institute of Medical Sciences (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 64%
Thyroid Cancer Diagnosis and Treatment
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Reproducibility of the Bethesda system for reporting thyroid cytopathology (TBSRTC): An observational study of 100 patients — Reena Naik, Kishori Moni Panda, et al. · Indian Journal of Pathology and Oncology (2024) | TGRS Research Map | TGRS