The Role of Needle-Based Confocal Laser Endomicroscopy in the Evaluation of Pancreatic Cystic Lesions: A Systematic Review

EUS-guided fine needle aspiration-based clues to mistaken or uncertain identity: serous pancreatic cysts

BACKGROUND/OBJECTIVES

Pancreatic serous cystic neoplasms (SCN) present a diagnostic challenge given their increasing frequency of detection and benign nature yet relatively high rate of misdiagnosis. Here, imaging and analyses associated with EUS-guided fine-needle aspiration (EUS-FNA) are evaluated for their ability to provide a correct preoperative diagnosis of SCN.

METHODS

A surgical cohort with confirmed pathological diagnosis of SCN (n = 62) and a surveillance cohort with likely SCN (n = 31) were assessed for imaging (CT/MRI/EUS) and EUS-FNA-based analyses (cytology/DNA analysis for Von Hippel-Lindau [VHL] gene alterations/biomarkers).

RESULTS

In the surgical cohort, CT/MRI and EUS respectively predicted SCN in 4 of 58(7%) and 19 of 62(31%). Cyst fluid cytology and VHL alterations predicted SCN in 1 of 51(2%) and 5 of 21(24%), respectively. High specificity cyst fluid biomarkers (vascular endothelial growth factor [VEGF]/glucose/carcinoembryonic antigen [CEA]/amylase) correctly identified SCN in 25 of 27(93%). In the surveillance cohort, cyst fluid biomarkers predicted SCN in 12 of 12(100%) while VHL alterations identified SCN 3 of 10(30%).

CONCLUSION

High specificity cyst fluid biomarkers provided the most sensitive means of diagnosing SCN preoperatively. To obtain a preoperative diagnosis of SCN at the highest level of certainty, a multidisciplinary approach should be taken to inform appropriate SCN management.

Applications and Prospects of Artificial Intelligence-Assisted Endoscopic Ultrasound in Digestive System Diseases

Endoscopic ultrasound (EUS) has emerged as a widely utilized tool in the diagnosis of digestive diseases. In recent years, the potential of artificial intelligence (AI) in healthcare has been gradually recognized, and its superiority in the field of EUS is becoming apparent. Machine learning (ML) and deep learning (DL) are the two main AI algorithms. This paper aims to outline the applications and prospects of artificial intelligence-assisted endoscopic ultrasound (EUS-AI) in digestive diseases over the past decade. The results demonstrated that EUS-AI has shown superiority or at least equivalence to traditional methods in the diagnosis, prognosis, and quality control of subepithelial lesions, early esophageal cancer, early gastric cancer, and pancreatic diseases including pancreatic cystic lesions, autoimmune pancreatitis, and pancreatic cancer. The implementation of EUS-AI has opened up new avenues for individualized precision medicine and has introduced novel diagnostic and treatment approaches for digestive diseases.

Pancreatic Cystic Lesions: A Focused Review on Cyst Clinicopathological Features and Advanced Diagnostics

Macroscopic, endomicroscopic, and histologic findings and correlation are an integral part of the diagnostic evaluation of pancreatic cystic lesions (PCLs), as complementing morphologic features seen by different specialties are combined to contribute to a final diagnosis. However, malignancy risk stratification of PCLs with worrisome features can still be challenging even after endoscopic ultrasound guided-fine needle aspiration (EUS-FNA) with cytological evaluation. This review aims to summarize cyst clinicopathological features from the pathologists' perspective, coupled with knowledge from advanced diagnostics-confocal laser endomicroscopy and cyst fluid molecular analysis, to demonstrate the state-of-art risk stratification of PCLs. This review includes illustrative photos of surgical specimens, endomicroscopic and histologic images, and a summary of cyst fluid molecular markers.

Accuracy and agreement of a large panel of endosonographers for endomicroscopy-guided virtual biopsy of pancreatic cystic lesions

BACKGROUND

Although emerging data evidences that EUS-guided needle-based confocal laser endomicroscopy (nCLE) accurately diagnoses pancreatic cystic lesions (PCLs), there are a lack of interobserver agreement (IOA) studies utilizing reference histopathological diagnosis and for specific PCL subtypes. Hence, we sought to assess the IOA, intra-observer reliability (IOR), and diagnostic performance of EUS-nCLE using a large cohort of patients with histopathological diagnosis amongst a broad panel of international observers.

METHODS

EUS-nCLE videos (n = 76) of subjects with PCLs [intraductal papillary mucinous neoplasm (IPMN), mucinous cystic neoplasm (MCN), serous cystadenoma (SCA), pseudocyst, and cystic-neuroendocrine tumors/solid pseudopapillary neoplasm (cystic-NET/SPN)], simulating clinical prevalence rates were obtained from 3 prospective studies. An international panel of 13 endosonographers with nCLE experience, blinded to all PCL data, evaluated the video library twice with a two-week washout for PCL differentiation (mucinous vs. non-mucinous) and subtype diagnosis.

RESULTS

The IOA (κ = 0.82, 95% CI 0.77-0.87) and IOR (κ = 0.82, 95% CI 0.78-0.85) were "almost perfect" to differentiate mucinous vs. non-mucinous PCLs. For PCL subtype, IOA was highest for SCA (almost perfect; κ = 0.85), followed by IPMN (substantial, κ = 0.72), and cystic-NET/SPN (substantial, κ = 0.73). The IOA was moderate for MCN (κ = 0.47), and pseudocyst (κ = 0.57). Compared to histopathology, observers differentiated mucinous vs. non-mucinous PCLs with high accuracy (94.8%, 95% CI 93.3-96.1). For detecting specific PCLs subtypes, EUS-nCLE was highly accurate in diagnosing non-mucinous cysts (SCA: 98%; cystic-NET/SPN: 96%; pseudocyst: 96%) and slightly less accurate for mucinous lesions (IPMN: 86%; MCN: 84%).

CONCLUSION

Diagnosis of PCLs by EUS-nCLE guided virtual biopsy is very accurate and reliable for the most prevalent pancreatic cysts in clinical practice.

Current trends in the management of pancreatic cystic neoplasms in Korea: a national survey

BACKGROUND/AIMS

The study aimed to investigate the current practice patterns in the management of pancreatic cystic neoplasms in Korea.

METHODS

An electronic survey was systematically distributed by email to members of the Korean Pancreatobiliary Association from December 2019 to February 2020.

RESULTS

In total, 115 (110 gastroenterologists, five surgeons) completed the survey, 72.2% of whom worked in a tertiary/academic medical center. Most (65.2%) followed the 2012/2017 International Association of Pancreatology guidelines for the management of pancreatic cystic neoplasms. A gadolinium-enhanced magnetic resonance imaging/magnetic resonance cholangiopancreatography was the most common first-line diagnostic modality (42.1%), but a contrast-enhanced computed tomography scan was preferred as a subsequent surveillance tool (58.3%). Seventy-four percent of respondents routinely performed endoscopic ultrasound-guided fine needle aspiration for pancreatic cystic neoplasms with suspicious mural nodules. Endoscopic ultrasound-guided fine needle aspiration cytology (94.8%) and cystic fluid carcinoembryonic antigen (95.7%) were used for cystic fluid analysis. Most (94%) typically recommended surgery in patients with high-risk stigmata, but 18.3% also considered proceeding with surgery in patients with worrisome features. Most (96.5%) would continue surveillance of pancreatic cystic neoplasms for more than 5 years.

CONCLUSION

According to this survey, there was variability in the management of pancreatic cystic neoplasms among the respondents. These results suggest that the development of evidence-based guidelines for pancreatic cystic neoplasms that fit the Korean practice is needed to create an optimal approach to the management of pancreatic cystic neoplasms.

Needle-based Confocal Laser Endomicroscopy (nCLE) for Evaluation of Pancreatic Cystic Lesions: A Systematic Review and Meta-analysis

BACKGROUND AND AIMS

Given the variable diagnostic yield of endoscopic ultrasound and endoscopic ultrasound-guided fine-needle aspiration for pancreatic cystic lesions (PCLs), novel imaging techniques including needle-based confocal laser endomicroscopy (nCLE) have been devised. The aim of this study was to perform a structured systematic review and meta-analysis to evaluate the diagnostic performance and safety of nCLE for the diagnosis of PCLs.

METHODS

Individualized search strategies were developed in accordance with PRISMA and MOOSE guidelines and meta-analysis analyzed according to the Cochrane Diagnostic Test Accuracy working group methodology. Measured outcomes included diagnostic characteristics and procedure-associated adverse events. A bivariate model was used to compute combined weighted sensitivity, specificity, positive/negative likelihood ratio (LR), diagnostic odds ratio, and summary receiver operating characteristic curve with corresponding 95% confidence intervals (CIs).

RESULTS

Seven studies (n=324; mean age: 63.99±5.36 y; 52.47% female) were included. The pooled sensitivity, specificity, positive LR, and negative LR of nCLE was 85% (95% CI, 71-93; I2=74.20%), 99% (95% CI, 90-100; I2=72.60%), 78.66 (95% CI, 7.99-774.68; I2=26.86%), and 0.15 (95% CI, 0.07-0.31; I2=75.84%), respectively. Diagnostic accuracy as measured by summary receiver operating characteristic curve was 99% (95% CI, 98-100). The pooled diagnostic odds ratio was 534 (95% CI, 50-5664; I2=58.00%). Postprocedure pancreatitis developed in 1% (95% CI, 0-3; I2=5.64%) of cases.

CONCLUSIONS

On the basis of this meta-analysis, nCLE appears to be an effective and safe technique for the diagnostic evaluation of PCLs. Although moderate-to-high amounts of heterogeneity were present, our results demonstrated that nCLE has a diagnostic accuracy of 99% with a low rate of adverse events.

Confocal Laser Endomicroscopy in the Diagnosis of Biliary and Pancreatic Disorders: A Systematic Analysis

Background/Aims

Endoscopic visualization of the microscopic anatomy can facilitate the real-time diagnosis of pancreatobiliary disorders and provide guidance for treatment. This study aimed to review the technique, image classification, and diagnostic performance of confocal laser endomicroscopy (CLE).

Methods

We conducted a systematic review of CLE in pancreatic and biliary ducts of humans, and have provided a narrative of the technique, image classification, diagnostic performance, ongoing research, and limitations.

Results

Probe-based CLE differentiates malignant from benign biliary strictures (sensitivity, ≥89%; specificity, ≥61%). Needle-based CLE differentiates mucinous from non-mucinous pancreatic cysts (sensitivity, 59%; specificity, ≥94%) and identifies dysplasia. Pancreatitis may develop in 2-7% of pancreatic cyst cases. Needle-based CLE has potential applications in adenocarcinoma, neuroendocrine tumors, and pancreatitis (chronic or autoimmune). Costs, catheter lifespan, endoscopist training, and interobserver variability are challenges for routine utilization.

Conclusions

CLE reveals microscopic pancreatobiliary system anatomy with adequate specificity and sensitivity. Reducing costs and simplifying image interpretation will promote utilization by advanced endoscopists.