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Digestive and Liver Disease : Official... Jan 2024The aim of this study was to assess the natural course and predictors of malignancy in incidentally detected small pancreatic cysts (PCs).
BACKGROUND AND AIMS
The aim of this study was to assess the natural course and predictors of malignancy in incidentally detected small pancreatic cysts (PCs).
METHOD
We retrospectively included patients with PCs smaller than 30 mm followed up with the same cross-sectional imaging modality at least 12 months apart between January 2010 and December 2019 in three academic institutions. Cyst growth, pancreatic cancer incidence, and associated factors associated with pancreatic cancer were analyzed.
RESULTS
A total of 1109 patients were followed up for a median of 34 months (range, 12‒118 months). Cyst growth and rapid cyst growth (≥ 5 mm/2 years) during follow-up were observed in 20.7% and 8.3%, respectively, both with higher rates for 15‒30 mm sized PCs. Eight patients were diagnosed with pancreatic cancer. The standardized incidence ratio for pancreatic cancer in small PCs was calculated as 5.2 [95% Confidence interval (CI): 1.3‒20.5]. The development of pancreatic cancer was associated with rapid growth [hazard ratio (HR): 8.1, 95% CI: 1.5‒43.4, p = 0.015] and newly developed worrisome features (HR: 11.7, 95% CI: 1.7‒79.6, p = 0.012) in competing risk analysis.
CONCLUSIONS
One-fifth of small incidentally detected PCs increased in size. Rapid growth and newly developed worrisome features were predictors of malignancy.
Topics: Humans; Retrospective Studies; Pancreatic Cyst; Pancreatic Neoplasms; Risk Assessment; Incidence
PubMed: 37455153
DOI: 10.1016/j.dld.2023.07.004 -
Journal of Clinical Gastroenterology Nov 2023There are various published clinical practice guidelines (CPGs) for the management of pancreatic cystic lesions. However, the quality of these guidelines has not been...
BACKGROUND
There are various published clinical practice guidelines (CPGs) for the management of pancreatic cystic lesions. However, the quality of these guidelines has not been systematically appraised. This study aimed to evaluate the quality of CPGs published in the last 5 years for the management of pancreatic cysts.
METHODS
A systematic search of the PubMed database for eligible CPGs published between January 1, 2016 and November 17, 2021, using a sensitive filter. The quality of the CPGs was independently evaluated using the Appraisal of Guidelines for Research & Evaluation II instrument, with domain scores considered sufficient quality if >60% and good quality if >80%.
RESULTS
The search yielded 4 eligible CPGs out of 426 citations. The scores varied for different domains for each CPG, with the overall median score being 79% for scope and purpose, 26% for stakeholder involvement, 51% for rigor of development, 69% for clarity of presentation, 14% for applicability, and 75% for editorial independence.
CONCLUSIONS
The study revealed that the quality of the CPGs for pancreatic cyst management in adults remains moderate at best. Patient representatives were not involved in any of the CPG development process. There is a significant scope for improvement in methodological rigor and clarity of presentation.
PubMed: 37983820
DOI: 10.1097/MCG.0000000000001939 -
Korean Journal of Radiology Jun 2024Incidental pancreatic cystic lesions are a common challenge encountered by diagnostic radiologists. Specifically, given the prevalence of benign pancreatic cystic... (Review)
Review
Incidental pancreatic cystic lesions are a common challenge encountered by diagnostic radiologists. Specifically, given the prevalence of benign pancreatic cystic lesions, determining when to recommend aggressive actions such as surgical resection or endoscopic ultrasound with sampling is difficult. In this article, we review the common types of cystic pancreatic lesions including serous cystadenoma, intraductal papillary mucinous neoplasm, and mucinous cystic neoplasm with imaging examples of each. We also discuss high-risk or worrisome imaging features that warrant a referral to a surgeon or endoscopist and provid several examples of these features. These imaging features adhere to the latest guidelines from the International Consensus Guidelines, American Gastroenterological Association (2015), American College of Gastroenterology (2018), American College of Radiology (2010, 2017), and European Guidelines (2013, 2018). Our focused article addresses the imaging dilemma of managing incidental cystic pancreatic lesions, weighing the options between imaging follow-up and aggressive interventions.
Topics: Humans; Pancreatic Cyst; Incidental Findings; Pancreatic Neoplasms; Diagnosis, Differential; Pancreas; Tomography, X-Ray Computed
PubMed: 38807337
DOI: 10.3348/kjr.2024.0085 -
Acta Chirurgica Belgica Oct 2023Lymphoepithelial cysts (LECs) of the pancreas are a rare type of true pancreatic cysts and represent an estimated 0.5% of all pancreatic cystic lesions. They are benign... (Review)
Review
BACKGROUND
Lymphoepithelial cysts (LECs) of the pancreas are a rare type of true pancreatic cysts and represent an estimated 0.5% of all pancreatic cystic lesions. They are benign lesions and have no malignant potential. However, they are hard to differentiate from malignant lesions because their imaging and clinical presentation vary greatly. Seeing as these are benign lesions which are increasingly found incidentally during imaging for other indications, correct diagnosis is important to prevent unnecessary intervention and morbidity.
CASE REPORT
We report the case of a 41-year-old female who presented with abdominal discomfort, bloating and dyspepsia. An abdominal computed tomography (CT) showed a large mass in the left fossa. We describe the diagnostic and therapeutic measures taken in this case.
METHODS
We reviewed the literature for common features of the LEC. We grouped common imaging and histological features of the LEC of the pancreas to provide easily identifiable characteristics to facilitate diagnosis. For the review, we focused on papers, mostly case reports, presenting these common characteristics. We also reviewed the literature for key topics that should be taken into account when considering therapeutic interventions in a patient with a possible diagnosis of a LEC.
CONCLUSION
Cysts of the pancreas are increasingly identified due to widespread use and improved resolution of cross-sectional imaging. To obtain the correct diagnosis, it is sometimes necessary to combine advanced imaging, i.e. CT and MRI-imaging, and endoscopic ultrasound with fine needle aspiration (EUS/FNA), while CA 19-9 also has diagnostic value. We summarize all diagnostic characteristics in a table for ease of use. Furthermore we summarized possible therapeutic interventions.
Topics: Female; Humans; Adult; Pancreas; Pancreatic Cyst; Endosonography; Biopsy, Fine-Needle; Magnetic Resonance Imaging; Pancreatic Neoplasms
PubMed: 35249466
DOI: 10.1080/00015458.2022.2050032 -
International Journal of Computer... Mar 2024Radiological detection and follow-up of pancreatic cysts in multisequence MRI studies are required to assess the likelihood of their malignancy and to determine their...
PURPOSE
Radiological detection and follow-up of pancreatic cysts in multisequence MRI studies are required to assess the likelihood of their malignancy and to determine their treatment. The evaluation requires expertise and has not been automated. This paper presents MC3DU-Net, a novel multisequence cascaded pipeline for the detection and segmentation of pancreatic cysts in MRI studies consisting of coronal MRCP and axial TSE MRI sequences.
METHODS
MC3DU-Net leverages the information in both sequences by computing a pancreas Region of Interest (ROI) segmentation in the TSE MRI scan, transferring it to MRCP scan, and then detecting and segmenting the cysts in the ROI of the MRCP scan. Both the voxel-level ROI of the pancreas and the segmentation of the cysts are performed with 3D U-Nets trained with Hard Negative Patch Mining, a new technique for class imbalance correction and for the reduction in false positives.
RESULTS
MC3DU-Net was evaluated on a dataset of 158 MRI patient studies with a training/validation/testing split of 118/17/23. Ground truth segmentations of a total of 840 cysts were manually obtained by expert clinicians. MC3DU-Net achieves a mean recall of 0.80 ± 0.19, a mean precision of 0.75 ± 0.26, a mean Dice score of 0.80 ± 0.19 and a mean ASSD of 0.60 ± 0.53 for pancreatic cysts of diameter > 5 mm, which is the clinically relevant endpoint.
CONCLUSION
MC3DU-Net is the first fully automatic method for detection and segmentation of pancreatic cysts in MRI. Automatic detection and segmentation of pancreatic cysts in MRI can be performed accurately and reliably. It may provide a method for precise disease evaluation and may serve as a second expert reader.
Topics: Humans; Pancreatic Cyst; Magnetic Resonance Imaging; Pancreas; Probability; Radiology; Image Processing, Computer-Assisted
PubMed: 37796412
DOI: 10.1007/s11548-023-03020-y -
Indian Journal of Gastroenterology :... Feb 2024There is sparse data from India on indications, technical success, safety and outcomes of endoscopic retrograde cholangiopancreatography (ERCP) using standard adult...
INTRODUCTION
There is sparse data from India on indications, technical success, safety and outcomes of endoscopic retrograde cholangiopancreatography (ERCP) using standard adult duodenoscope in the pediatric population.
METHODS
Retrospective analysis of prospectively maintained electronic endoscopy and clinical database was performed to identify pediatric patients (age ≤ 18 years) who underwent ERCP between January 2017 and December 2022. Demographics and procedural details including indications, cholangio-pancreatogram findings, endotherapy type performed, technical and clinical success and complications were noted.
RESULTS
As many as 150 pediatric patients were included of whom 88 had pancreatic (mean age-13.7 years) and 62 had biliary disease (mean age- 14.9 years). Common pancreatic ERCP indications were chronic pancreatitis (n = 45 [51.1%]), pancreatic duct disruption fistula (n = 21 [23.9%]) and recurrent acute pancreatitis (n = 16 [18.2%]). Among biliary indications were choledocholithiasis (n = 29 [46.8%]), benign bile duct strictures (n = 13 [21%]), bile duct injury/leak and biliary stent removal (n = 7 [11.3%]) , choledochal cyst (n = 5 [8.1%]) and pancreatic mass causing biliary compression (n = 1 [1.6%]). Technical success in pancreatic and biliary ERCP was 94.3% and 95.2%, respectively, and clinical success was 84.1% and 93.5%, respectively. Most common complications following pancreatic ERCPs were acute pancreatitis (n = 9 [10.2%]) (mild = 5, moderate = 4) patients and post sphincterotomy bleed in one (1.1%). Among biliary ERCPs, post ERCP pancreatitis was seen in (n = 3 [4.8%]) (mild = 2, moderate = 1).
CONCLUSION
ERCP can be safely and effectively performed in children using standard duodenoscope. Chronic pancreatitis, choledocholithiasis and pancreatic divisum are common pediatric ERCP indications.
PubMed: 38367160
DOI: 10.1007/s12664-023-01498-7 -
JAMA Surgery Apr 2024Despite the increasing prevalence of intraductal papillary mucinous neoplasm (IPMN), data on the growth and malignant conversion rates based on long-term surveillance...
IMPORTANCE
Despite the increasing prevalence of intraductal papillary mucinous neoplasm (IPMN), data on the growth and malignant conversion rates based on long-term surveillance cohorts are limited. Many international guidelines recommend surveillance for benign lesions, but the optimal interval and duration are unclear.
OBJECTIVE
To determine the optimal surveillance protocol for IPMN and propose which patients may be exempted from surveillance.
DESIGN, SETTING, AND PARTICIPANTS
This large-scale, international cohort study examined data of 3825 patients with IPMN treated at 5 tertiary pancreatic centers. Included were patients with branch duct (BD) IPMN who underwent surveillance or surgery between January 1, 1988, and December 31, 2020. After a thorough review, 3656 patients were included in the analytic sample. Changes in cyst size, worrisome features or high-risk stigmata, and malignant conversion rates were assessed. Patients who underwent surveillance over 5 years were compared to suggest discontinuation of surveillance protocol. Clinical data collection began in January 1, 2021, and the mean (SD) follow-up duration was 84 (47.7) months. The data analysis was performed from May 2, 2022, through September 14, 2022.
EXPOSURE
The patients with BD-IPMN were followed up based on International Association of Pancreatology guidelines. Patients with suspicious malignant neoplasms during surveillance underwent surgical resection.
MAIN OUTCOME AND MEASURES
The main outcome of this study was the optimal follow-up interval and duration of BD-IPMN surveillance. The association among cyst size, growth rate, and progression was examined using descriptive statistics.
RESULTS
Of the 3656 patients with BD-IPMN in the analytic sample (1973 [54.0%] female; mean [SD] age, 63.7 [10.2] years), 172 (4.7%) were confirmed to have malignant lesions through surgery. Considering cyst growth, the time to develop worrisome features, and malignant conversion, a 1.5-, 1-, and 0.5-year surveillance interval could be optimal for cysts smaller than 20 mm, 20 to 30 mm, and 30 mm, respectively, after initial short-term (6-month) follow-up. Patients with cysts smaller than 20 mm, no worrisome features, and no growth during 5-year surveillance did not show malignant conversion after 5 years of follow-up and had time to progression of greater than 10 years.
CONCLUSIONS
These findings suggest that BD-IPMN surveillance may depend on the size of the cyst and morphologic changes at the initial 6-month follow-up. For patients with small cysts (ie, <20 mm) with no morphologic changes during the initial 5-year surveillance period, surveillance may be discontinued for those unfit for surgery or who have a limited life expectancy of 10 years or less.
Topics: Humans; Female; Middle Aged; Male; Pancreatic Intraductal Neoplasms; Cohort Studies; Retrospective Studies; Pancreatic Neoplasms; Pancreas; Cysts; Carcinoma, Pancreatic Ductal
PubMed: 38231494
DOI: 10.1001/jamasurg.2023.7010 -
BioRxiv : the Preprint Server For... Sep 2023The apical-basal polarity of pancreatic acinar cells is essential for maintaining tissue architecture. However, the mechanisms by which polarity proteins regulate acinar...
The apical-basal polarity of pancreatic acinar cells is essential for maintaining tissue architecture. However, the mechanisms by which polarity proteins regulate acinar pancreas tissue homeostasis are poorly understood. Here, we evaluate the role of Par3 in acinar pancreas injury and homeostasis. While Par3 loss in the mouse pancreas disrupts tight junctions, Par3 loss is dispensable for pancreatogenesis. However, with aging, Par3 loss results in low-grade inflammation, acinar degeneration, and pancreatic lipomatosis. Par3 loss also exacerbates pancreatitis-induced acinar cell loss, resulting in pronounced pancreatic lipomatosis and failure to regenerate. Moreover, Par3 loss in mice harboring mutant Kras causes extensive pancreatic intraepithelial neoplastic (PanIN) lesions and large pancreatic cysts. We also show that Par3 loss restricts injury-induced primary ciliogenesis. Significantly, targeting BET proteins enhances primary ciliogenesis during pancreatitis-induced injury and, in mice with Par3 loss, limits pancreatitis-induced acinar loss and facilitates acinar cell regeneration. Combined, this study demonstrates how Par3 restrains pancreatitis- and Kras-induced changes in the pancreas and identifies a potential role for BET inhibitors to attenuate pancreas injury and facilitate pancreas tissue regeneration.
PubMed: 37745543
DOI: 10.1101/2023.09.14.557654 -
Journal of Clinical Medicine Jul 2023Endosonography, a minimally invasive imaging technique, has revolutionized the diagnosis and management of pancreatic diseases. This comprehensive review highlights the... (Review)
Review
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.
PubMed: 37510744
DOI: 10.3390/jcm12144630 -
Computer Methods and Programs in... Jun 2024The pancreas is a vital organ in digestive system which has significant health implications. It is imperative to evaluate and identify malignant pancreatic lesions... (Review)
Review
The pancreas is a vital organ in digestive system which has significant health implications. It is imperative to evaluate and identify malignant pancreatic lesions promptly in light of the high mortality rate linked to such malignancies. Endoscopic Ultrasound (EUS) is a non-invasive precise technique to detect pancreas disorders, but it is highly operator dependent. Artificial intelligence (AI), including traditional machine learning (ML) and deep learning (DL) techniques can play a pivotal role to enhancing the performance of EUS regardless of operator. AI performs a critical function in the detection, classification, and segmentation of medical images. The utilization of AI-assisted systems has improved the accuracy and productivity of pancreatic analysis, including the detection of diverse pancreatic disorders (e.g., pancreatitis, masses, and cysts) as well as landmarks and parenchyma. This systematic review examines the rapidly developing domain of AI-assisted system in EUS of the pancreas. Its objective is to present a thorough study of the present research status and developments in this area. This paper explores the significant challenges of AI-assisted system in pancreas EUS imaging, highlights the potential of AI techniques in addressing these challenges, and suggests the scope for future research in domain of AI-assisted EUS systems.
Topics: Humans; Endosonography; Artificial Intelligence; Pancreas; Machine Learning; Deep Learning; Pancreatic Neoplasms; Pancreatic Diseases; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted
PubMed: 38703435
DOI: 10.1016/j.cmpb.2024.108205