Rapid on-site evaluation (ROSE) with EUS-FNA: The ROSE looks beautiful

Tissue processing of endoscopic ultrasound-guided fine-needle aspiration specimens from solid pancreatic lesions

Now that tissue cores can be obtained using fine-needle biopsy (FNB) needles, the ways tissues are handled for endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) are changing. Direct smear, touch smear of core tissues, and centrifugation have been used for cytological examinations, and liquid-based cytology (LBC), which allows immunostaining and genetic tests that use residual samples, is emerging as an alternative. We emphasize that liquid cytology (Cytospin™ cytology and LBC) is still important, because it enables the diagnosis of pancreatic ductal adenocarcinoma (PDAC) when cancerous cells are scarce in specimens. Cell blocks are being replaced by core tissues obtained via FNB needles. Recent reports indicate that rapid on-site evaluation (ROSE) is not necessary when FNB needles are used, and macroscopic on-site evaluation is used to evaluate specimen adequacy. Macroscopic findings of specimens are helpful in the diagnostic workup and for clarifying specimen-handling methods. In addition to the red strings and white cores observed in PDAC, mixed red and white strings, gray tissues, and gelatinous tissues are observed. Gray (necrotic) tissues and gelatinous (mucus) tissues are more suitable than histology for cell block or cytological processing. Tumor cells in neuroendocrine tumors (NETs) are numerous in red strings but cannot be observed macroscopically. ROSE might thus be necessary for lesions that may be NETs. Core tissues can be used for genetic tests, such as those used for KRAS mutations and comprehensive genomic profiling. Cytological materials, including slides and LBC specimens, can also be genetic test materials.

SI-ViT: Shuffle instance-based Vision Transformer for pancreatic cancer ROSE image classification

BACKGROUND AND OBJECTIVE

The rapid on-site evaluation (ROSE) technique improves pancreatic cancer diagnosis by enabling immediate analysis of fast-stained cytopathological images. Automating ROSE classification could not only reduce the burden on pathologists but also broaden the application of this increasingly popular technique. However, this approach faces substantial challenges due to complex perturbations in color distribution, brightness, and contrast, which are influenced by various staining environments and devices. Additionally, the pronounced variability in cancerous patterns across samples further complicates classification, underscoring the difficulty in precisely identifying local cells and establishing their global relationships.

METHODS

To address these challenges, we propose an instance-aware approach that enhances the Vision Transformer with a novel shuffle instance strategy (SI-ViT). Our approach presents a shuffle step to generate bags of shuffled instances and corresponding bag-level soft-labels, allowing the model to understand relationships and distributions beyond the limited original distributions. Simultaneously, combined with an un-shuffle step, the traditional ViT can model the relationships corresponding to the sample labels. This dual-step approach helps the model to focus on inner-sample and cross-sample instance relationships, making it potent in extracting diverse image patterns and reducing complicated perturbations.

RESULTS

Compared to state-of-the-art methods, significant improvements in ROSE classification have been achieved. Aiming for interpretability, equipped with instance shuffling, SI-ViT yields precise attention regions that identifying cancer and normal cells in various scenarios. Additionally, the approach shows excellent potential in pathological image analysis through generalization validation on other datasets.

CONCLUSIONS

By proposing instance relationship modeling through shuffling, we introduce a new insight in pathological image analysis. The significant improvements in ROSE classification leads to protential AI-on-site applications in pancreatic cancer diagnosis. The code and results are publicly available at https://github.com/sagizty/MIL-SI.

Stereomicroscopic on-site evaluation in endoscopic ultrasound-guided tissue acquisition of upper gastrointestinal subepithelial lesions

BACKGROUND/AIMS

In stereomicroscopic sample isolation processing, the cutoff value (≥4 mm) of stereomicroscopically visible white cores indicates high diagnostic sensitivity. We aimed to evaluate endoscopic ultrasound-guided tissue acquisition (EUS-TA) using a simplified stereomicroscopic on-site evaluation of upper gastrointestinal subepithelial lesions (SELs).

METHODS

In this multicenter prospective trial, we performed EUS-TA using a 22-gauge Franseen needle in 34 participants with SELs derived from the upper gastrointestinal muscularis propria, requiring pathological diagnosis. The presence of stereomicroscopically visible white core (SVWC) in each specimen was assessed using stereomicroscopic on-site evaluation. The primary outcome was EUS-TA's diagnostic sensitivity with stereomicroscopic on-site evaluation based on the SVWC cutoff value (≥4 mm) for malignant upper gastrointestinal SELs.

RESULTS

The total number of punctures was 68; 61 specimens (89.7%) contained stereomicroscopically visible white cores ≥4 mm in size. The final diagnoses were gastrointestinal stromal tumor, leiomyoma, and schwannoma in 76.5%, 14.7%, and 8.8% of the cases, respectively. The sensitivity of EUS-TA with stereomicroscopic on-site evaluation based on the SVWC cutoff value for malignant SELs was 100%. The per-lesion accuracy of histological diagnosis reached the highest level (100%) at the second puncture.

CONCLUSION

Stereomicroscopic on-site evaluation showed high diagnostic sensitivity and could be a new method for diagnosing upper gastrointestinal SELs using EUS-TA.

Artificial Intelligence in Endoscopic Ultrasonography-Guided Fine-Needle Aspiration/Biopsy (EUS-FNA/B) for Solid Pancreatic Lesions: Opportunities and Challenges

Solid pancreatic lesions (SPLs) encompass a variety of benign and malignant diseases and accurate diagnosis is crucial for guiding appropriate treatment decisions. Endoscopic ultrasonography-guided fine-needle aspiration/biopsy (EUS-FNA/B) serves as a front-line diagnostic tool for pancreatic mass lesions and is widely used in clinical practice. Artificial intelligence (AI) is a mathematical technique that automates the learning and recognition of data patterns. Its strong self-learning ability and unbiased nature have led to its gradual adoption in the medical field. In this paper, we describe the fundamentals of AI and provide a summary of reports on AI in EUS-FNA/B to help endoscopists understand and realize its potential in improving pathological diagnosis and guiding targeted EUS-FNA/B. However, AI models have limitations and shortages that need to be addressed before clinical use. Furthermore, as most AI studies are retrospective, large-scale prospective clinical trials are necessary to evaluate their clinical usefulness accurately. Although AI in EUS-FNA/B is still in its infancy, the constant input of clinical data and the advancements in computer technology are expected to make computer-aided diagnosis and treatment more feasible.

Twenty versus 40 back-and-forth needle movements for endoscopic ultrasound-guided fine-needle biopsy of solid pancreatic masses: a prospective, crossover, randomized study

BACKGROUND AND AIMS

In endoscopic ultrasound (EUS)-fine-needle biopsy (FNB) of solid pancreatic mass lesions, the number of times the needle moves back and forth within the lesion might affect the collection of the sample and the subsequent diagnostic accuracy. Thus, this study was designed to compare the diagnostic adequacy between different numbers of back-and-forth movements in EUS-FNB.

METHODS

Fifty-five patients with solid pancreatic masses underwent EUS-FNB sampling with the needle (22-gauge) moved 20 times (MTT) and 40 times (MFT) randomly and sequentially for a total of four alternating passes. We compared the acquisition rate of appropriate and adequate specimens for histologic assessment and diagnostic accuracy.

RESULTS

Finally, 55 patients (35 men and 20 women) were included in the study. We found that 56.4% (31/55) and 60% (33/55) of the specimens obtained using MTT and MFT, respectively, could be adequately diagnosed histologically (P = 0.815, McNemar test). The diagnostic accuracy of MTT and MFT was 72.7% (40/55) and 80% (44/55), respectively (P = 0.289, McNemar test). The overall diagnostic accuracy was 89.1%.

CONCLUSION

There was no significant statistical difference between the histopathological diagnostic samples obtained in MTT and those obtained in MFT. Therefore, a large number of back-and-forth movements of the needle should be avoided during EUS-FNB, which can help reduce the operation time and may reduce the risk of intraoperative and postoperative complications (Clinical trial registration number: ChiCTR2000031106).

The Latest Advancements in Diagnostic Role of Endosonography of Pancreatic Lesions

Endosonography, a minimally invasive imaging technique, has revolutionized the diagnosis and management of pancreatic diseases. This comprehensive review highlights the latest advancements in endosonography of the pancreas, focusing on key technological developments, procedural techniques, clinical applications and additional techniques, which include real-time elastography endoscopic ultrasound, contrast-enhanced-EUS, EUS-guided fine-needle aspiration or EUS-guided fine-needle biopsy. EUS is well established for T-staging and N-staging of pancreaticobiliary malignancies, for pancreatic cyst discovery, for identifying subepithelial lesions (SEL), for differentiation of benign pancreaticobiliary disorders or for acquisition of tissue by EUS-guided fine-needle aspiration or EUS-guided fine-needle biopsy. This review briefly describes principles and application of EUS and its related techniques.

Role of Endoscopic Ultrasound-Guided Fine Needle Aspiration (EUS-FNA) in the Diagnosis of Suspicious Malignant Esophageal Strictures

(1) Background: The accurate diagnosis of esophageal strictures is quite critical for optimizing medical intervention. However, the diagnosis of suspicious malignant esophageal strictures with intact mucosa appearance and negative biopsy results is challenging. This study aimed to evaluate the role of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) in the diagnosis of suspicious esophageal strictures. (2) Methods: We retrospectively analyzed the cases with suspicious malignant esophageal strictures that underwent EUS-FNA, with or without rapid on-site evaluation (ROSE), in our hospital from April 2017 to September 2022. Their clinical manifestations, imaging examinations, gastroscopic examinations, EUS-FNA results, and therapeutic strategies were retrospectively recorded and analyzed. (3) Results: A total of 23 patients (15 male and 8 female) were enrolled in this study. Based on EUS-FNA results, 18 patients were diagnosed with malignancies, including 16 cases of primary esophageal cancer (13 squamous carcinomas and 3 adenocarcinomas), 1 case of mediastinal cancer, and 1 case of metastatic esophageal cancer; 1 case of tuberculosis was also confirmed by EUS-FNA. Among 4 cases of ambiguous diagnosis with EUS-FNA, 1 was diagnosed with an esophageal glomus tumor after surgical removal, and 2 patients survived for several years without medical intervention, which hinted at the possibility of benign esophageal strictures. No major complications, including bleeding or perforation, were observed. (4) Conclusions: EUS-FNA may serve as a safe and effective diagnostic tool in suspicious malignant esophageal strictures with accurate specimen acquisition, especially for biopsy-negative cases.

Telecytology versus in-room cytopathologist for EUS-guided FNA or fine-needle biopsy sampling of solid pancreatic lesions

BACKGROUND AND AIMS

Rapid on-site-evaluation (ROSE) with an in-room cytopathologist (ROSE-P) has been shown to improve the diagnostic yield of specimens obtained from patients undergoing EUS-guided FNA or fine-needle biopsy sampling (EUS-FNAB) of pancreatic lesions. Recently, there has been an increased interest and use of ROSE using telecytology (ROSE-T) to optimize clinical workflows and to address social distancing mandates created during the coronavirus disease 2019 pandemic. The purpose of this study was to compare diagnostic outcomes of ROSE-P and ROSE-T.

METHODS

A single-center cohort study of patients who underwent EUS-FNAB of solid pancreatic lesions with ROSE was conducted. The primary outcome was overall diagnostic yield of cancer. All patients who underwent EUS-FNAB were entered into a prospectively maintained database. Statistical analyses were performed using descriptive statistics and univariate analysis.

RESULTS

There were 165 patients in each arm. There was no difference in diagnostic yield between ROSE-P and ROSE-T (96.4% vs 94.5%, P = .428). ROSE-T was associated with an increased use of 22-gauge needles (P = .006) and more needle passes (P < .001). No significant differences were found in age, gender, lesion size, needle type, procedure times, or adverse events between the 2 groups (P < .05 for all). More pancreatic tail lesions were sampled in the ROSE-P group (P < .001).

CONCLUSIONS

ROSE-T was not associated with any difference in final histologic diagnosis for EUS-FNAB of solid pancreatic masses. This has important implications for optimizing clinical workflows.

Application value of contrast-enhanced ultrasound in the diagnosis of peripheral pulmonary focal lesions

INTRODUCTION

Peripheral pulmonary lesions are encountered frequently in clinical practice. Accurate diagnosis of these lesions is of great importance for clinicians. Ultrasound-guided lung tissue puncture is a reliable method for diagnosing these lesions.

OBJECTIVES

To investigate the application value of contrast-enhanced ultrasound (CEUS) combined with rapid on-site evaluation (ROSE) in the diagnosis of peripheral pulmonary focal lesions.

METHODS

Eighty patients enrolled from July 2020 to June 2021 were divided into two groups: a conventional ultrasound group and a CEUS group. Both groups underwent diagnostic procedures guided by ROSE to improve the success rate of puncture sampling. The success rates and complications in both groups were compared. The results for lesion enhancement, time taken for the contrast agent to reach the lesions (AT) and lung tissues (L-AT), and the difference between these times (∆AT) were compared in the CEUS group.

RESULTS

The success rate of biopsy in the CEUS group was 97.62%, which was significantly higher than that in the conventional ultrasound group (84%; P < .05). Puncture complications did not occur in the CEUS group and occurred in 5.26% of the cases in the conventional ultrasound group, but the difference was not statistically significant (P > .05). A comparison of enhancement of benign lesions and malignant lesions in the CEUS group showed a statistically significant difference (P < .05). The difference between the AT and ∆AT of benign and malignant lesions was statistically significant (P <.05). The optimal threshold of ∆AT was 2.05 s.

CONCLUSION

CEUS combined with ROSE is a very important approach for biopsy in the diagnosis of peripheral pulmonary focal lesions. CEUS has definite clinical value in the diagnosis of benign and malignant lung lesions.

Development of “Mathematical Technology for Cytopathology,” an Image Analysis Algorithm for Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related death worldwide. The accuracy of a PDAC diagnosis based on endoscopic ultrasonography-guided fine-needle aspiration cytology can be strengthened by performing a rapid on-site evaluation (ROSE). However, ROSE can only be performed in a limited number of facilities, due to a relative lack of available resources or cytologists with sufficient training. Therefore, we developed the Mathematical Technology for Cytopathology (MTC) algorithm, which does not require teaching data or large-scale computing. We applied the MTC algorithm to support the cytological diagnosis of pancreatic cancer tissues, by converting medical images into structured data, which rendered them suitable for artificial intelligence (AI) analysis. Using this approach, we successfully clarified ambiguous cell boundaries by solving a reaction–diffusion system and quantitating the cell nucleus status. A diffusion coefficient (D) of 150 showed the highest accuracy (i.e., 74%), based on a univariate analysis. A multivariate analysis was performed using 120 combinations of evaluation indices, and the highest accuracies for each D value studied (50, 100, and 150) were all ≥70%. Thus, our findings indicate that MTC can help distinguish between adenocarcinoma and benign pancreatic tissues, and imply its potential for facilitating rapid progress in clinical diagnostic applications.

CelLock TM: an innovative standardized cell-block preparation procedure

The CelLock™ procedure kit is used to collect and prepare cellular specimens such as fine needle aspirates (FNA), cytology specimens, cultured cells, small tissue biopsies, and samples with scant tissue fragments or cells into a paraffin cell-block. This cell-block can be used for subsequent microtomy and staining using hematoxylin and eosin (H&E), special stains, immunohistochemistry (IHC), and applicable molecular techniques such as in situ hybridization (ISH). CelLock is a standardized method that provides optimal receipt, preservation, preparation, and processing of cell-blocks which, contain virtually all of the submitted specimens and are able to be embedded and sectioned in a reproducible fashion. The specimen contained within the cell-block is preserved such that all the cellular protein and genetic information is available for histological and ancillary testing.

The Value of Computed Tomography-Guided Percutaneous Lung Biopsy Combined With Rapid On-Site Evaluation in Diagnosis of Peripheral Pulmonary Nodules

Objective: To investigate the value of computed tomography-guided percutaneous lung biopsy (CT-PLB) combined with rapid on-site evaluation (ROSE) in the diagnosis of peripheral pulmonary lesions (PPLs). Methods: A total of 108 patients who diagnosed with PPLs by chest CT examination were prospectively collected and randomly divided into ROSE group (n = 56) and No-ROSE group (n = 52). Both groups received CT-PLB and pathological examination. The smear submitted for ROSE was stained using Diff Quik dye. The accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), number of punctures, puncture time and incidence of complications were compared between the two groups. Results: The accuracy, sensitivity, specificity, PPV, and NPV of the ROSE group were 89.29%, 87.50%, 91.67%, 93.33%, and 84.62%, respectively. The number of punctures in the ROSE group was significantly lower than that in the No-ROSE group (P < .05). The incidence of pneumothorax and hemoptysis in the ROSE group were lower than those in the No-ROSE group, but there was no statistical difference between the two groups (P > .05). ROSE has good concordance with routine pathological examination in the diagnosis of unidentified PPLs (Kappa = 0.786, P < .01). Conclusions: CT-PLB combined with ROSE is a safe and effective method for the diagnosis of PPLs.

Endosonographers performing on-site evaluation of solid pancreatic specimens for EUS-guided biopsy: A formal training method and learning curves

Objectives:

This study aimed to examine the effects of a training program combining formal cytological curriculum and practical assessments on endosonographers and to determine how many operations were needed for training through learning curves.

Methods:

A formal cytological curriculum was implemented in November 2019 for four endosonographers. The competency of endosonographers before and after the curriculum was judged by quantitative scores. From December 2019 to October 2020, trainees independently examined the adequacy and atypia grade of pancreatic specimens acquired by EUS-guided-fine-needle biopsy based on specific atypical grading criteria. The accuracy of the adequacy and atypia assessment of each trainee was calculated, and learning curves were drawn to evaluate the improvement.

Results:

The median posttraining score improved by 87% from 49 to 91.5 out of 100. Ninety patients were enrolled in the practical assessments. The accuracy for specimen adequacy and atypia assessment of each trainee was 91.7%, 92.8%, 91.0%, and 89.3% and 80.0%, 82.1%, 81.0%, and 78.9%. The learning curves of each trainee showed a steady and significant improvement, and ninety cases were sufficient for satisfactory adequacy assessment.

Conclusions:

Basic knowledge of on-site cytopathologic evaluation can be gained through standardized and systematic training. Practical assessments showed that, at the completion of ninety cases, trained endosonographers reached a satisfactory level of recognizing specimen adequacy, but continue practice was needed for atypia assessment.

Role of fluorescence confocal microscopy for rapid evaluation of EUS fine-needle biopsy sampling in pancreatic solid lesions

BACKGROUND AND AIMS

EUS fine-needle biopsy (EUS-FNB) sampling is the standard procedure for diagnosis of pancreatic lesions. Fluorescence confocal microscopy (FCM) allows imaging of tissues in the fresh state, requiring minimal preparation without damage or loss of tissue. Until now, no data exist on FCM in the field of microhistologic specimens. We aimed to assess the diagnostic performance of FCM in predicting histologic adequacy of EUS-FNB samples in pancreatic solid lesions and to assess the agreement between FCM evaluation and final histology.

METHODS

In this single-center prospective study on consecutive patients with pancreatic lesions receiving EUS-FNB, the obtained samples have been evaluated at FCM and classified as "inadequate" or "adequate" (benign, suspicious, or malignant). The kappa test was used to quantify agreement. The diagnostic accuracy of FCM was assessed. A P < .05 was considered to be statistically significant.

RESULTS

From April 2020 to September 2020, 81 patients were enrolled. In all cases FCM showed the macro image of the sample and created a digital image. Of the samples, 92.6% was defined as adequate at the FCM evaluation and confirmed at histopathology. Histologic diagnoses were 8% benign, 17.3% atypical/suspicious, and 74.7% malignant with satisfactory agreement with the FCM evaluation (Cohen's κ coefficient, .95; 95% confidence interval [CI], .89-1.01; P = .001). The sensitivity of the FCM evaluation was 100% (95% CI, 95%-100%), specificity 66.7% (95% CI, 22.3%-95.7%), accuracy 97% (95% CI, 90.7%-99.7%), positive predictive value 97% (95% CI, 91.8%-99%), and negative predictive value 100%.

CONCLUSIONS

FCM represents a new technique successfully applicable to microhistologic specimens. It provides fast information about sample adequacy in small specimens with good agreement in the final histology.

Impact of endoscopic ultrasound elastography in pancreatic lesion evaluation

Pancreatic malignancy still becomes a major global problem and is considered as one of the most lethal cancers in the field of gastroenterology. Most patients come in the late stage of the disease due to organ’s location, and until now the treatment result is still far away from satisfaction. Early detection is still the main key for good, prolonged survival. However, discerning from other types of tumor sometimes is not easy. Endoscopic ultrasound (EUS) is still the best tool for pancreatic assessment, whereas fine-needle aspiration biopsy (FNAB) is considered as the cornerstone for further management of pancreatic malignancy. Several conditions have become a concern for EUS-FNAB procedure, such as risk of bleeding, pancreatitis, and even needle track-seeding. Recently, an artificial intelligence innovation, such as EUS elastography has been developed to improve diagnostic accuracy in pancreatic lesions evaluation. Studies have shown the promising results of EUS elastography in improving diagnostic accuracy, as well as discerning from other tumor types. However, more studies are still needed with further considerations, such as adequate operator training, expertise, availability, and its cost-effectiveness in comparison to other imaging options.

Accuracy and other quality indicators of solid pancreatic mass endoscopic ultrasound-guided fine needle aspiration and biopsy in two academic endoscopy centers

BACKGROUND AND AIMS

Endoscopic ultrasound fine-needle aspiration/biopsy (EUS-FNA/FNB) is highly accurate, but discrepancies between cytological and surgical diagnoses are still observed. We aimed to determine its accuracy and monitor quality indicators in our facilities.

PATIENTS AND METHODS

We performed a retrospective review of all cases of pancreatic solid lesions evaluated by EUS-FNA/FNB, between July 2015 and June 2018, in two centers. Cytological and surgical findings were categorized into five groups: benign, malignant, suspect of malignancy, undetermined and insufficient for diagnosis. Final diagnosis was based on surgical diagnosis and, in patients who did not undergo surgery, on clinical outcome after 6 months follow-up.

RESULTS

Altogether, 142 patients were included. FNA was the preferred tissue acquisition method (88%), with a predilection for the FNA 22G needle (57%). Cytology was insufficient for diagnosis in 2 cases, therefore a full diagnostic sample was available in 98.6% of the patients (>90%, ESGE target). Fifty-five (38.7%) patients underwent surgery. In term of cancer diagnosis, comparison with final surgical pathology (n=55) revealed 89% true positives, 5.5% true negatives, 3.6% false positives and 1.8% false negatives. When combining surgical diagnosis and clinical outcomes together, EUS-guided sampling sensitivity was 97.4% (92.5-99.5), specificity was 92.3% (74.9-99.1), positive predictive value was 98.2% (93.6- 99.5), negative predictive value was 88.9% (72.3-96.1) and accuracy was 96.4% (91.9-98.8). Post-procedural acute pancreatitis was reported in 2 patients (1.4%).

CONCLUSIONS

These results reveal a performance for diagnostic tissue sampling well above the ESGE proposed target standard. Also, the uncommon high specificity illustrates the determining role of the pathologist's final interpretation and diagnosis.

An Investigation on the Results of Cytopathologic Tests of Pancreatobiliary System Performed in the Pathology Department in Iran

Background & Objective

Pancreatobiliary system disorders commonly include inflammatory diseases and tumors. Diagnosis of pancreatic cancer is challenging and is mostly achieved when the disease has extensively progressed, and metastasis has occurred. Therefore, this study was performed to evaluate cytopathology in the diagnosis of Pancreatobiliary malignancies, which can improve diagnostic adequacy and accuracy.

Methods

A total of 116 cytopathologic results of the Pancreatobiliary system, performed in the Pathology Department of Taleghani Hospital, Tehran, Iran during 2017-2018 were selected and examined in this observational study. The frequency of different results was determined and compared with other variables.

Results

The most common location of the lesions was the pancreas (47%). The lesions were categorized as malignant, benign, negative, suspicious for malignancy (SFM), and atypical in 28%, 10%, 24%, 14%, and 9% of the cases, respectively. In other cases, lesions were considered non-diagnostic. Rapid on-site evaluation (ROSE) was conducted in 25% of patients. Compatibility of the initial and final diagnoses was 100%, 50%, and 60% in cases with "malignant", "benign", and "negative" diagnoses, respectively. The sensitivity, specificity, as well as positive and negative predictive values of cytopathology in the diagnosis of Pancreatobiliary lesions were 75.8%, 92.3%, 95.9%, and 61.5%, respectively.

Conclusion

Our findings indicated that half of the lesions of the Pancreatobiliary system were positive, SFM, and atypical. Fine-needle aspiration (FNA) and endoscopic ultrasound-guided FNA (EUS-FNA) were effective modalities in diagnosing Pancreatobiliary malignancies. The most important point in our experience is the increase in diagnostic sensitivity in the presence of ROSE. Therefore, the simultaneous use of ROSE and EUS-FNA can reduce the need for re-sampling.

Recent advances in convex probe endobronchial ultrasound: a narrative review

Convex probe endobronchial ultrasound (CP-EBUS) has been widely used in the lymph node staging and restaging of lung tumors and the diagnosis of mediastinal diseases. Recent years have seen continuous progress in this technology. For diagnosis, elastography technology can preliminarily distinguish between benign and malignant lesions, so that reduce the number of punctures. CP-EBUS can also be used as an endoscopic ultrasound (EUS) to guide needle aspirations of liver lesions, retroperitoneal lymph nodes and left adrenal gland (LAG) lesions sometimes. Some advances help diagnosing more accurately and effectively, such as the intranodal forceps biopsy (IFB), the new type of 22G needle, the rapid on-site evaluation (ROSE) and the cancer gene methylation, etc. In addition, special advances are being made in diagnosis using artificial intelligence (AI). For treatment, CP-EBUS has yielded novel research results when applied to transbronchial needle injection (TBNI) and radioactive seed implantation in clinical cases, and blocking of the cardiac plexus in animal studies. The next-generation CP-EBUS is also ready for use in the clinic and the technology will be improving continuously. Through this review, we hope to educate clinicians on the latest uses of CP-EBUS and open up further research ideas for readers interested in this technology.

Wet- versus dry-suction techniques for endoscopic ultrasound-guided fine-needle aspiration of solid lesions: a multicenter randomized controlled trial

BACKGROUND

The optimal sampling techniques for endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) remain unclear and have not been standardized. The aim of this study was to compare the wet-suction and dry-suction techniques for sampling solid lesions in the pancreas, mediastinum, and abdomen.

METHODS

This was a multicenter, crossover, randomized controlled trial with randomized order of sampling techniques. The 296 consecutive patients underwent EUS-FNA with 22G needles and were randomized in a ratio of 1:1 into two separate groups that received the dry-suction and wet-suction techniques in a different order. The primary outcome was to compare the histological diagnostic accuracy of dry suction and wet suction for malignancy. The secondary outcomes were to compare the cytological diagnostic accuracy and specimen quality.

RESULTS

Among the 269 patients with pancreatic (n = 161) and non-pancreatic (n = 108) lesions analyzed, the wet-suction technique had a significantly better histological diagnostic accuracy (84.9 % [95 % confidence interval (CI) 79.9 % - 89.0 %] vs. 73.2 % [95 %CI 67.1 % - 78.7 %]; P = 0.001), higher specimen adequacy (94.8 % vs. 78.8 %; P < 0.001), and less blood contamination (P < 0.001) than the dry-suction technique. In addition, sampling non-pancreatic lesions with two passes of wet suction provided a histological diagnostic accuracy of 91.6 %.

CONCLUSIONS

The wet-suction technique in EUS-FNA generates better histological diagnostic accuracy and specimen quality than the dry-suction technique. Furthermore, sampling non-pancreatic lesions with two passes of EUS-FNA with wet suction may provide a definitive histological diagnosis when rapid on-site evaluation is not routinely available.

Endoscopic diagnosis of gastrointestinal melanoma

Background: Gastrointestinal (GI) melanoma can be diagnosed by endoscopy combined with biopsy and subsequent pathological examination. However, the disease may be misdiagnosed due to the limited awareness of GI melanoma.Objective: We aimed to describe characteristics of GI melanoma that can be detected by endoscopy and endoscopic ultrasound (EUS).Methods: We retrospectively analyzed patients with GI melanoma diagnosed by endoscopic biopsy or postoperative pathology between August 2008 and January 2017. Images of endoscopic examinations, including endoscopy and EUS, were reviewed to characterize GI melanomas.Results: A total of 21 patients (9 males, 12 females) with GI melanoma were enrolled in this study. Several types of melanoma were identified: anorectal melanoma (n = 15), esophageal melanoma (n = 3), gastric melanoma (n = 2), and melanoma of the small intestine (n = 1). EUS was performed for one case of esophageal melanoma, one case of gastric melanoma, and seven cases of anorectal melanoma.Conclusions: GI melanoma is a rare disease. Most GI melanomas showed typical endoscopic manifestations, including black plaques. EUS is a reliable tool for evaluating the depth of infiltration of GI melanoma.