# Diagnostic Value of Cytology in Pancreatic Endoscopic Ultrasound-Guided Fine Needle Aspiration: Accuracy in Common Epithelial Pancreatobiliary Tumors and the Role of Cell Block Analysis

**Authors:** Naser Rakhshani, Neda Soleimani, Sanaz Aghaei, Rasha Barakat, Ali Mohammad Keshtvarz Hesam Abadi

PMC · DOI: 10.30699/ijp.2024.2036290.3329 · Iranian Journal of Pathology · 2025-01-10

## TL;DR

This study shows that using cell blocks with EUS-FNA cytology improves diagnostic accuracy for pancreatic tumors, especially for certain types like pancreatic ductal adenocarcinoma and neuroendocrine tumors.

## Contribution

The study demonstrates that cell block analysis significantly enhances the diagnostic accuracy of EUS-FNA cytology in pancreatobiliary tumors.

## Key findings

- EUS-FNA cytology had an overall accuracy of 80%, with higher accuracy for pancreatic ductal adenocarcinomas and solid pseudopapillary neoplasms.
- Diagnostic accuracy reached 100% when cell blocks were used in conjunction with EUS-FNA cytology.
- Poorly differentiated PDAs and well-differentiated tumors like NETs and SPNs showed higher diagnostic accuracy.

## Abstract

Limited literature describes the accuracy of endoscopic ultrasonography–fine needle aspiration (EUS-FNA) cytology in various types of pancreatic epithelial tumors, and this underscores the usefulness of cell blocks, and highlights potential diagnostic pitfalls.

This study included 108 patients who underwent EUS-FNA pancreatobiliary cytology followed by surgery. Age, gender, tumor location, tumor size, presence or absence of a cell block, cytologic and pathologic diagnoses, and histologic tumor grade were recorded. Cytologic and pathologic slides were examined, and the cytologic accuracy was determined by comparing cytologic with the histopathologic results as the gold standard. Additionally, the impact of cell block on the cytologic accuracy was assessed.

EUS-FNA cytology showed an overall accuracy of 80%, a sensitivity of 90%, and a false-positive rate below 1%. Pancreatic ductal adenocarcinomas (PDAs) accounted for 65% of cases, followed by neuroendocrine tumors (NETs), solid pseudopapillary neoplasms (SPNs), mucinous cystic neoplasms (MCNs), and chronic pancreatitis. Diagnostic accuracy was higher for PDA and SPN than for NET and MCN and significantly improved to 100% in cases with a cell block.

Combining pancreatobiliary cytology with a cell block significantly enhances diagnostic accuracy, reaching 100%. Moreover, poorly differentiated PDAs and well-differentiated organoid-type tumors, such as NETs and SPNs, demonstrate higher diagnostic accuracy.

## Linked entities

- **Diseases:** pancreatic ductal adenocarcinoma (MONDO:0005184), chronic pancreatitis (MONDO:0005003)

## Full-text entities

- **Diseases:** Pancreatobiliary Tumors (MESH:D009369), pancreatic epithelial tumors (MESH:D009375), MCNs (MESH:D018297), NETs (MESH:D018358), PDAs (MESH:D021441), chronic pancreatitis (MESH:D050500), PDA (MESH:D004374)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC11887639/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11887639/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC11887639/full.md

---
Source: https://tomesphere.com/paper/PMC11887639