Cytological Diagnosis of Pleural Effusions Based on the International System for Reporting Serous Fluid Cytopathology and Its Histopathological Correlation

Background: This study classifies pleural fluid cytology using the International System for Reporting Serous Fluid Cytopathology (TIS, 2021) and evaluates the Risk of Malignancy (ROM) through histopathological correlation. Conducted over two years at a tertiary care hospital, it aims to assess the diagnostic and prognostic value of TIS in managing serous effusions. Materials and Methods: Pleural fluid samples were categorized using the International System for Reporting Serous Fluid Cytopathology, and histopathological slides were reviewed to assess the ROM. Statistical analysis was performed using descriptive statistics, and diagnostic parameters including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were calculated to evaluate the effectiveness of the TIS classification in predicting malignancy. Results: Among 260 cases, 4 (1.53%) were Non-Diagnostic (ND), 214 (82.31%) Negative for Malignancy (NFM), 9 (3.46%) Atypia of Undetermined Significance (AUS), 9 (3.46%) Suspicious for Malignancy (SFM), and 24 (9.23%) Malignancy (MAL). ROM was 33.33% in ND, 19.86% in NFM, 50% in AUS, 66.67% in SFM, and 50% in MAL. Sensitivity, specificity, and diagnostic accuracy varied across categories. Conclusion: TIS is a reliable system for reporting pleural effusions. ROM is highest in the AUS, SFM, and MAL categories. Consistency in diagnostic criteria and further refinement in ND and NFM categories are necessary for improved clinical outcomes.

Institutions

Publication Details

Journal
Annals of Pathology and Laboratory Medicine
Published
2025-06-30
DOI
https://doi.org/10.21276/apalm.3554
Primary Topic
Pleural and Pulmonary Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cytological Diagnosis of Pleural Effusions Based on the International System for Reporting Serous Fluid Cytopathology and Its Histopathological Correlation

Annals of Pathology and Laboratory Medicine
Pleural and Pulmonary Diseases
article

Cytological Diagnosis of Pleural Effusions Based on the International System for Reporting Serous Fluid Cytopathology and Its Histopathological Correlation

article en

Abstract

Background: This study classifies pleural fluid cytology using the International System for Reporting Serous Fluid Cytopathology (TIS, 2021) and evaluates the Risk of Malignancy (ROM) through histopathological correlation. Conducted over two years at a tertiary care hospital, it aims to assess the diagnostic and prognostic value of TIS in managing serous effusions. Materials and Methods: Pleural fluid samples were categorized using the International System for Reporting Serous Fluid Cytopathology, and histopathological slides were reviewed to assess the ROM. Statistical analysis was performed using descriptive statistics, and diagnostic parameters including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were calculated to evaluate the effectiveness of the TIS classification in predicting malignancy. Results: Among 260 cases, 4 (1.53%) were Non-Diagnostic (ND), 214 (82.31%) Negative for Malignancy (NFM), 9 (3.46%) Atypia of Undetermined Significance (AUS), 9 (3.46%) Suspicious for Malignancy (SFM), and 24 (9.23%) Malignancy (MAL). ROM was 33.33% in ND, 19.86% in NFM, 50% in AUS, 66.67% in SFM, and 50% in MAL. Sensitivity, specificity, and diagnostic accuracy varied across categories. Conclusion: TIS is a reliable system for reporting pleural effusions. ROM is highest in the AUS, SFM, and MAL categories. Consistency in diagnostic criteria and further refinement in ND and NFM categories are necessary for improved clinical outcomes.

Annals of Pathology and Laboratory MedicineVol. 12(6)
Pramukhswami Medical College (IN)
Partnerships for the goals
Openalex Percentile: Top 31%
Pleural and Pulmonary Diseases
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.