# Clinical application of confocal laser endomicroscopy in the diagnosis of malignant pleural effusion

**Authors:** Shenglan Ye, Mingli Yuan, Cheng Song, Zhen Yang, Yi Hu, Jixiang Ni

PMC · DOI: 10.3389/fonc.2025.1666259 · Frontiers in Oncology · 2026-01-12

## TL;DR

This study shows that confocal laser endomicroscopy can accurately help diagnose malignant pleural effusion during endoscopic exams, with high sensitivity and agreement with traditional pathology.

## Contribution

The study demonstrates the clinical utility of pCLE as a real-time diagnostic tool for malignant pleural effusion with high diagnostic accuracy.

## Key findings

- pCLE achieved 96.77% sensitivity and 92.68% accuracy in diagnosing malignant pleural effusion compared to histopathology.
- pCLE showed substantial agreement with histopathological findings (kappa = 0.79, p < 0.001).
- pCLE improved targeted biopsy sampling and detection of malignant lesions compared to conventional thoracoscopy.

## Abstract

Probe-based confocal laser endomicroscopy (pCLE) is an innovative in vivo microscopic imaging technique that enables real-time visualization of tissue cytology during endoscopic examinations. This study aimed to evaluate the clinical utility of pCLE in diagnosing MPE.

A total of 41 patients with pleural effusion (PE) who underwent pCLE examination were enrolled in this prospective study. The diagnostic performance of pCLE was assessed by calculating sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and accuracy (ACC), using histopathological results as the reference standard. Additionally, the safety profile of the pCLE procedure was evaluated.

Among the 41 patients, histopathological analysis confirmed MPE in 31 patients and benign pleural effusion (BPE) in 10 patients. Of the 31 MPE cases, 26 were lung adenocarcinoma (LUAD), 2 were lung squamous cell carcinoma (LSCC), 1 was large cell lung cancer (LCLC, a subtype of non-small cell lung cancer [NSCLC]), 1 was pleural malignant mesothelioma (PMM), and 1 was pleural metastasis from other tumors. Compared with histopathology, pCLE demonstrated a sensitivity of 96.77%, specificity of 80%, accuracy of 92.68%, PPV of 93.75%, and NPV of 88.89%. There was substantial agreement between pCLE and histopathological findings (kappa = 0.79, p < 0.001). Furthermore, compared to conventional thoracoscopy, pCLE facilitated targeted biopsy sampling and improved detection of malignant lesions. No adverse events related to pCLE were observed, indicating its favorable safety profile.

Our study demonstrates that pCLE is a valuable tool for enhancing the diagnosis of MPE, with high concordance with histopathological findings (kappa = 0.79, p < 0.001) and significant guidance for thoracoscopic pleural biopsies. The diagnostic sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of pCLE were 96.77%, 80%, 92.68%, 93.75%, and 88.89%, respectively, when compared with histopathology. These results indicate that pCLE can effectively differentiate between benign and malignant pleural effusion in patients with undetermined etiology and serves as a robust complementary method to existing diagnostic approaches. However, the small sample size of this study limits the generalizability of the findings, and further large-scale, multicenter clinical trials are needed to validate these results.

## Linked entities

- **Diseases:** lung adenocarcinoma (MONDO:0005061), lung squamous cell carcinoma (MONDO:0005097), large cell lung cancer (MONDO:0003050), pleural malignant mesothelioma (MONDO:0005112)

## Full-text entities

- **Diseases:** pleural metastasis (MESH:D009362), BPE (MESH:D010996), LUAD (MESH:D000077192), malignant pleural effusion (MESH:D016066), MPE (MESH:C565054), large cell lung cancer (MESH:D055752), non-small cell lung cancer (MESH:D002289), LSCC (MESH:D002294), tumors (MESH:D009369), PMM (MESH:D000086002)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12832460/full.md

## References

38 references — full list in the complete paper: https://tomesphere.com/paper/PMC12832460/full.md

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Source: https://tomesphere.com/paper/PMC12832460