Background and Aims: Early identification of malignant biliary strictures (MBSs) is challenging, with up to 20% classified as indeterminants after preliminary testing and tissue sampling with endoscopic retrograde cholangiopancreatography. We aimed to evaluate the use of methylated DNA markers (MDMs) from biliary brushings to enhance MBS detection in a prospective cohort. Approach: Candidate MDMs were evaluated for their utility in MBS diagnosis through a series of discovery and validation phases. DNA was extracted from biliary brushing samples, quantified, bisulfite-converted, and then subjected to methylation-specific droplet digital polymerase chain reaction. Patients were considered to have no malignancy if the sampling was negative and there was no evidence of malignancy after 1 year or definitive negative surgical histopathology. Results: Fourteen candidate MDMs were evaluated in the discovery phase, with top-performing and new markers evaluated in the technical validation phase. The top 4 MDMs were TWIST1, HOXA1, VSTM2B, and CLEC11A, which individually achieved AUC values of 0.82, 0.81, 0.83, and 0.78, respectively, with sensitivities of 59.4%, 53.1%, 62.5%, and 50.0%, respectively, at high specificities for malignancy of 95.2%–95.3% for the final biologic validation phase. When combined as a panel, the AUC was 0.86, achieving 73.4% sensitivity and 92.9% specificity, which outperformed cytology and fluorescence in situ hybridization (FISH). Conclusions: The selected MDMs demonstrated improved performance characteristics for the detection of MBS compared to cytology and FISH. Therefore, MDMs should be considered viable candidates for inclusion in diagnostic testing algorithms.
Endoscopic Ultrasound Primary Pancreas Neuroendocrine Tumor Size and Proliferation Index are Clinically Helpful but are they Enough? A Single Center 20-year Experience
Localized insulinoma is an uncommon entity that can result in substantial morbidity due to the associated hypoglycemia. Recent studies have suggested an increase in the incidence of insulinoma in recent decades that may possibly be secondary to increased awareness, incidental diagnoses, and better diagnostic methods. Diagnosing and localizing insulinoma within the pancreas can be challenging, but advances in nuclear imaging may improve diagnostic accuracy. Delays in diagnosis are common, but once a localized insulinoma is diagnosed and appropriately treated, the long-term prognosis is excellent. Surgical resection is considered the standard of care management option for localized insulinoma, but tumor ablation with endoscopic ultrasound guidance has also been shown to be an effective and safe method for therapy.
Endoscopic ultrasound-guided gastroenterostomy for the management of gastric outlet obstruction: A large comparative study with long-term follow-up
Abstract Background and study aims Gastric outlet obstruction (GOO) is traditionally managed with surgical gastroenterostomy (surgical-GE) and enteral stenting (ES). Endoscopic ultrasound-guided gastroenterostomy (EUS-GE) is now a third option. Large studies assessing their relative risks and benefits with adequate follow-up are lacking. We conducted a comparative analysis of patients who underwent EUS-GE, ES, or surgical-GE for GOO. Patients and methods In this retrospective comparative cohort study, consecutive patients presenting with GOO who underwent EUS-GE, ES, or surgical-GE at two academic institutions were reviewed and independently cross-edited to ensure accurate reporting. The primary outcome was need for reintervention. Secondary outcomes were technical and clinical success, length of hospital stay (LOS), and adverse events (AEs). Results A total of 436 patients (232 EUS-GE, 131 ES, 73 surgical-GE) were included. The median duration of follow-up of the entire cohort was 185.5 days (interquartile range 55.25–454.25 days). The rate of reintervention in the EUS-GE group was lower than in the ES and surgical-GE groups (0.9 %, 12.2 %, and 13.7 %, P < 0.0001). Technical success was achieved in 98.3 %, 99.2 %, and 100 % (P = 0.58), and clinical success was achieved in 98.3 %, 91.6 %, and 90.4 % (P < 0.0001) in the EUS-GE, ES, and surgical-GE groups, respectively. The EUS-GE group had a shorter LOS (2 days vs. 3 days vs. 5 days, P < 0.0001) and a lower AE rate than the ES and surgical-GE groups (8.6 % vs. 38.9 % vs. 27.4 %, P < 0.0001). Conclusion This large cohort study demonstrates the safety and palliation durability of EUS-GE as an alternative strategy for GOO palliation in select patients.
Histological assessment of new cholangioscopy-guided forceps in ERCP biliary stricture sampling: a blinded comparative study
Abstract Background and study aims Obtaining quality tissue during ERCP biliary stricture sampling is of paramount importance for a timely diagnosis. While single-operator cholangioscopy (SOC)-guided biopsies have been suggested to be the superior biliary tissue acquisition modality given direct tissue visualization, less is known about the specimen histological quality. We aimed to analyze the specimen quality of SOC biopsies and compare the new generation forceps with prior “legacy” forceps. Patients and methods Patients who underwent SOC from January 2017-August 2021 for biliary sampling were reviewed. In February 2020, the SOC-guided biopsy forceps were changed from legacy SpyBite to the SpyBite Max forceps (max). Specimens were assessed by blinded pathologists for crush artifact (none, mild, or severe) and gross size (greatest dimension in mm). Crush artifact and gross size were compared between the two groups. The diagnostic performance characteristics for cholangiocarcinoma (CCA), were assessed in an exploratory fashion. Results Eighty-one patients (max = 27, legacy = 54) with similar baseline characteristics were included in this study. On blinded pathological assessment, 58 % had crush artifact, without significant differences between the two groups (Max 63 % vs. Legacy 56 %; P = 0.64). A similar mean specimen size was found (max 3 mm vs. legacy 3.2 mm; P = 0.24). The overall prevalence of CCA was 40 %. The sensitivity, specificity, positive predictive value, and negative predictive value of the entire cohort using a combination of cytology, fluorescence in situ hybridization, and SOC-guided biopsies were 78.1 %, 91.8 %, 86.2 %, and 86.5 %, respectively. No difference between legacy or max groups was found. Conclusions A high rate of crush artifact was found in SOC-guided biopsy specimens. Further investigation regarding proper biopsy technique and handling is necessary to increase the diagnostic yield with SOC-guided biopsies.
Efficacy and safety of endoscopic ultrasound-guided gastrojejunostomy in patients with malignant gastric outlet obstruction and ascites
Abstract Background and study aims Endoscopic ultrasound-guided gastrojejunostomy (EUS-GJ) is an endoscopic procedure for treating gastric outlet obstruction (GOO). Limited data exist regarding the safety and efficacy of EUS-GJ in patients with malignant GOO with ascites. Thus, we aimed to study the outcomes and safety of EUS-GJ in GOO patients with vs. without ascites. Patients and methods This is a retrospective cohort study of patients with malignant GOO who underwent successful EUS-GJ at a tertiary care academic center. Primary outcomes included the efficacy and safety of EUS-GJ. Secondary outcomes included 30-day readmission, reintervention, and survival utilizing Kaplan-Meier analysis. Results A total of 55 patients (mean age of 67.0 ± 11.3 years, 40.0 % female) who underwent EUS-GJ, of whom 24 had ascites (small in 22, large in 2) were included. Clinical success was achieved in 91.7 % and 93.5 % (P = 1.00) of patients with and without ascites, respectively. A higher rate of adverse events (AEs) was noted in patients with ascites but this was not statistically significant (37.5 % vs. 19.4 %, P = 0.13). Four patients in the ascites group (16.6 %) developed clinical evidence of peritonitis or sepsis post-EUS-GJ. Eight patients with ascites developed worsening ascites within a month of EUS-GJ. In contrast, only one patient without ascites developed evidence of new ascites. The median survival of patients was not significantly different between the two groups (patients with ascites: 129 days vs. patients without ascites: 180 days, (P = 0.12). Conclusions The efficacy EUS-GJ in the presence of ascites is promising; however, the safety profile remains concerning given the high rate of AEs, specifically peritonitis and sepsis.
Endoscopic Ultrasound–Guided Dual Ultrasound Hepatic Cyst Aspiration and Sclerotherapy to Ameliorate Portal Hypertension
Composition, diversity and potential utility of intervention-naïve pancreatic cancer intratumoral microbiome signature profiling via endoscopic ultrasound
Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis
Objective The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma (PDAC) and techniques for tissue sampling of AIP are suboptimal. These limitations often result in delayed or failed diagnosis, which negatively impact patient management and outcomes. This study aimed to create an endoscopic ultrasound (EUS)-based convolutional neural network (CNN) model trained to differentiate AIP from PDAC, chronic pancreatitis (CP) and normal pancreas (NP), with sufficient performance to analyse EUS video in real time. Design A database of still image and video data obtained from EUS examinations of cases of AIP, PDAC, CP and NP was used to develop a CNN. Occlusion heatmap analysis was used to identify sonographic features the CNN valued when differentiating AIP from PDAC. Results From 583 patients (146 AIP, 292 PDAC, 72 CP and 73 NP), a total of 1 174 461 unique EUS images were extracted. For video data, the CNN processed 955 EUS frames per second and was: 99% sensitive, 98% specific for distinguishing AIP from NP; 94% sensitive, 71% specific for distinguishing AIP from CP; 90% sensitive, 93% specific for distinguishing AIP from PDAC; and 90% sensitive, 85% specific for distinguishing AIP from all studied conditions (ie, PDAC, CP and NP). Conclusion The developed EUS-CNN model accurately differentiated AIP from PDAC and benign pancreatic conditions, thereby offering the capability of earlier and more accurate diagnosis. Use of this model offers the potential for more timely and appropriate patient care and improved outcome.