Aetiological Spectrum of Pancreaticobiliary Diseases in Adult Nigerians on Magnetic Resonance Cholangiopancreatography.

BACKGROUND: Imaging is vital for assessing pancreaticobiliary diseases. AIM: The aim of the study was to investigate the spectrum and pattern of pancreaticobiliary diseases in adult Nigerians using magnetic resonance cholangiopancreatography (MRCP). METHODS: This was a retrospective, descriptive cross-sectional study. The electronic radiological records of 110 adult Nigerians who had undergone MRCP were reviewed. The MRCP images were evaluated for bile duct dilatation, intraluminal filling defects, strictures, calculi, and other abnormalities. RESULTS: There were 45 males (40.9%) and 65 females (59.1%) aged 18-83 years, with a mean age of 51.93 ± 15.22 years. Jaundice (59.1%) and right hypochondrial pain (31.8%) were the most common presenting complaints. Gallstones (32.7%), common bile duct strictures (15.5%), choledocholithiasis (11.8%), pancreatic head carcinoma (10.9%), and gallbladder carcinoma (2.7%) were the most frequent abnormalities. There was biliary obstruction in 56.4% of participants, mostly at the distal and proximal common bile duct. Other findings include hepatomegaly (23.6%), hepatic cysts (6.4%), hepatic steatosis (0.9%), duodenal wall thickening (1.8%), and ascites (5.5%). MRCP was normal in 25 (22.7%) participants. CONCLUSION: Gallstones were the predominant pathology of the various pancreaticobiliary diseases, while Pancreatic head and gallbladder carcinoma were the most common malignant diseases.

Contrast-enhanced guided endoscopic ultrasound procedures.

Contrast-enhanced endoscopic ultrasound (CH-EUS) can overcome the limitations of endoscopic ultrasound-guided acquisition by identifying microvessels inside inhomogeneous tumours and improving the characterization of these tumours. Despite the initial enthusiasm that oriented needle sampling under CH-EUS guidance could provide better diagnostic yield in pancreatic solid lesions, further studies did not confirm the supplementary values in cases of tissue acquisition guided by CH-EUS. This review details the knowledge based on the available data on contrast-guided procedures. The indications for CH-EUS tissue acquisition include isoechoic EUS lesions with poor visible delineation where CH-EUS can differentiate the lesion vascularisation from the surrounding parenchyma and also the mural nodules within biliopancreatic cystic lesions, which occur in select cases. Additionally, the roles of CH-EUS-guided therapy in patients whose pancreatic fluid collections or bile ducts that have an echogenic content have indications for drainage, and patients who have nonvisualized vessels that need to be highlighted via Doppler EUS are presented. Another indication is represented if there is a need for an immediate assessment of the post-radiofrequency ablation of pancreatic neuroendocrine tumours, in which case CH-EUS can be used to reveal the incomplete tumour destruction.

Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic 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.

History of the Interventional Pancreaticobiliary Endoscopy.

With the introduction of endoscopic retrograde cholangiopancreatography and linear endoscopic ultrasound, interventional pancreaticobiliary (PB) endoscopy has had an enormous impact in the management of pancreatic and biliary diseases. Continuous efforts to improve various devices and techniques have revolutionized these treatment modalities as viable alternatives to surgery. In recent years, trends toward combining endoscopic techniques with other modalities, such as laparoscopic and radiological interventions, for complex PB diseases have emerged using a multidisciplinary approach. Ongoing research and clinical experience will lead to refinements in interventional PB endoscopic techniques and subsequently improve outcomes and reduce complication rates.

Prediction of Post-Gastrectomy Pancreatic Complications: A Preoperative Imaging Study Based on Computed Tomography.

BACKGROUND: Postoperative pancreas-related complications (PPRCs) are common after laparoscopic gastrectomy (LG) in patients with gastric cancer. We estimated the anatomical location of the pancreas on a computed tomography (CT) image and investigated its impact on the incidence of PPRCs after LG. METHODS: We retrospectively reviewed the preoperative CT images of 203 patients who underwent LG for gastric cancer between January 2010 and December 2017. From these images, we measured the gap between the upper edge of the pancreatic body and the root of the common hepatic artery. We evaluated the potential relationship between PPRCs and the gap between pancreas and common hepatic artery (GPC) status using an analysis based on the median cutoff value and assessed the impact of GPC status on PPRC incidence. We performed univariate and multivariate analyses to identify predictive factors for PPRC. RESULT: Postoperative pancreas-related complications occurred in 11 patients (5.4%). The median of the optimal cutoff GPC value for predicting PPRC was 0 mm; therefore, we classified the GPC status into two groups: GPC plus group and GPC minus group. Univariate analysis revealed that sex (male), C-reactive protein (CRP) > .07 mg/dl, GPC plus, and visceral fat area (VFA) > 99 cm2 were associated with the development of PPRC. Multivariate analysis identified only GPC plus as independent predictor of PPRC (hazard ratio: 4.60 [95% confidence interval 1.11-31.15], P = .034). CONCLUSION: The GPC is a simple and reliable predictor of PPRC after LG. Surgeons should evaluate GPC status on preoperative CT images before proceeding with laparoscopic gastric cancer surgery.

Associations of Intrapancreatic Fat Deposition With Incident Diseases of the Exocrine and Endocrine Pancreas: A UK Biobank Prospective Cohort Study.

INTRODUCTION: To investigate whether increased intrapancreatic fat deposition (IPFD) heightens the risk of diseases of the exocrine and endocrine pancreas. METHODS: A prospective cohort study was conducted using data from the UK Biobank. IPFD was quantified using MRI and a deep learning-based framework called nnUNet. The prevalence of fatty change of the pancreas (FP) was determined using sex- and age-specific thresholds. Associations between IPFD and pancreatic diseases were assessed with multivariate Cox-proportional hazard model adjusted for age, sex, ethnicity, body mass index, smoking and drinking status, central obesity, hypertension, dyslipidemia, liver fat content, and spleen fat content. RESULTS: Of the 42,599 participants included in the analysis, the prevalence of FP was 17.86%. Elevated IPFD levels were associated with an increased risk of acute pancreatitis (hazard ratio [HR] per 1 quintile change 1.513, 95% confidence interval [CI] 1.179-1.941), pancreatic cancer (HR per 1 quintile change 1.365, 95% CI 1.058-1.762) and diabetes mellitus (HR per 1 quintile change 1.221, 95% CI 1.132-1.318). FP was also associated with a higher risk of acute pancreatitis (HR 3.982, 95% CI 2.192-7.234), pancreatic cancer (HR 1.976, 95% CI 1.054-3.704), and diabetes mellitus (HR 1.337, 95% CI 1.122-1.593, P = 0.001). DISCUSSION: FP is a common pancreatic disorder. Fat in the pancreas is an independent risk factor for diseases of both the exocrine pancreas and endocrine pancreas.

Appropriate pancreatic phase image acquisition by free-breathing dynamic contrast-enhanced pancreatic MRI using stack-of-stars radial sampling and Compressed SENSE.

PURPOSE: To evaluate the feasibility of a free-breathing sequence (4D FreeBreathing) combined with Compressed SENSE in dynamic contrast-enhanced pancreatic MRI and compare it with a breath-holding sequence (eTHRIVE). METHOD: Patients who underwent pancreatic MRI, either eTHRIVE or 4D FreeBreathing, from April 2022 to November 2023 were included in this retrospective study. Two radiologists, who were unaware of the scan sequence, independently and randomly reviewed the images at the precontrast, pancreatic, portal venous, and equilibrium phases and assigned confidence scores for motion and streaking artifacts, pancreatic sharpness, and overall image quality using a 5-point scale. Furthermore, the radiologists assessed the appropriateness of the scan timing of the pancreatic phase. Mann-Whitney U and Fisher's exact tests were conducted to compare the confidence scores and adequacy of the pancreatic phase scan timing between eTHRIVE and 4D FreeBreathing. RESULTS: Overall, 48 patients (median age, 71 years; interquartile range, 64-77 years; 24 women) were included. Among them, 20 patients (42%) were scanned using 4D FreeBreathing. The 4D FreeBreathing showed moderate streaking artifact but improved motion artifact (P <.001-.17) at all phases. Pancreatic sharpness and overall image quality were almost comparable between two sequences (P = .17-.96). All 20 examinations in 4D FreeBreathing showed appropriate pancreatic phase images, but only 16 (57%; P <.001 for reviewer 1) and 18 (64%; P = .003 for reviewer 2) examinations showed it in eTHRIVE. CONCLUSION: The use of 4D FreeBreathing combined with Compressed SENSE was feasible in pancreatic MRI and provided appropriate pancreatic phase images in all examinations.

Role of advanced endoscopy in the management of inflammatory digestive diseases (pancreas and biliary tract).

The progress of endoscopic diagnosis and treatment for inflammatory diseases of the biliary tract and pancreas have been remarkable. Endoscopic ultrasonography (EUS) and EUS-elastography are used for the diagnosis of early chronic pancreatitis and evaluation of endocrine and exocrine function in chronic pancreatitis. Notably, extracorporeal shock wave lithotripsy and electrohydraulic shock wave lithotripsy have improved the endoscopic stone removal rate in patients for whom pancreatic stone removal is difficult. Studies have reported the use of self-expanding metal stents for stent placement for pancreatic duct stenosis and EUS-guided pancreatic drainage for refractory pancreatic duct strictures. Furthermore, EUS-guided drainage using a double-pigtailed plastic stent has been performed for the management of symptomatic pancreatic fluid collection after acute pancreatitis. Recently, lumen-apposing metal stents have led to advances in the treatment of walled-off necrosis after acute pancreatitis. EUS-guided biliary drainage is an alternative to refractory endoscopic biliary drainage and percutaneous transhepatic biliary drainage for the treatment of acute cholangitis. The placement of an inside stent followed by switching to uncovered self-expanding metal stents in difficult-to-treat cases has been proposed for acute cholangitis by malignant biliary obstruction. Endoscopic transpapillary gallbladder drainage is an alternative to percutaneous transhepatic gallbladder drainage for severe and some cases of moderate acute cholecystitis. EUS-guided gallbladder drainage has been reported as an alternative to percutaneous transhepatic gallbladder drainage and endoscopic transpapillary gallbladder drainage. However, it is important to understand the advantages and disadvantages of each drainage method and select the optimal drainage method for each case.

Pancreatic congenital anomalies and their features on CT and MR imaging: a pictorial review.

OBJECTIVE: To review the congenital anomalies of the pancreas with their main clinical manifestations and key imaging findings on CT and MRI. BACKGROUND AND CLINICAL SIGNIFICANCE: Anomalies of pancreatic development are frequent and generally asymptomatic, but can mimic and predispose individuals to pancreatic or peripancreatic pathologies, such as pancreatitis or malignancy. Their correct diagnosis may help avoid unnecessary further investigations and procedures, or establish adequate treatment when they manifest clinically. Differentiating pancreatic congenital anomalies from their main radiological mimics constitutes a challenge for the radiologist and requires familiarity with key imaging findings. CONCLUSION: The imaging findings of CT and MRI are essential for the correct diagnosis of congenital pancreatic anomalies.

Endoscopic retrograde cholangiopancreatography training and education.

Endoscopic retrograde cholangiopancreatography (ERCP) is an advanced endoscopic technique used to diagnose and treat biliary and pancreatic diseases. It is one of the most technically demanding endoscopic procedures. ERCP training programs must ensure trainees have adequate knowledge of the anatomy and physiology associated with biliopancreatic diseases. The variety of ERCP procedures included in training programs should provide sufficient basic training for novice trainees and advanced training for experienced endoscopists. The main endoscopic procedures should be trained in ascending order of difficulty. Incorporating models capable of simulating various clinical and anatomical conditions could provide an effective means of fulfilling training requirements, although they are not easily available due to expensive facilities and void of standard assessment. Competency assessment is crucial in ERCP training to ensure trainees can independently and safely perform ERCP. Because of the rapid advancement of diagnostic and therapeutic methods, postgraduate training is critical for ERCP practitioners. Once certificates are attained, practitioners are solely responsible for maintaining their competency, credentialing, and quality.

Prediction of pancreatic fibrosis by dual-energy CT-derived extracellular volume fraction: Comparison with MRI.

OBJECTIVES: To investigate the correlation between dual-energy CT (DECT) and MRI measurements of the extracellular volume fraction (ECV) and to assess the accuracy of both methods in predicting pancreatic fibrosis (PF). METHODS: We retrospectively analyzed 43 patients who underwent pancreatectomy and preoperative pancreatic DECT and MRI between November 2018 and May 2022. The ECV was calculated using the T1 relaxation time (for MR-ECV) or absolute enhancement (for DECT-ECV) at equilibrium phase (180 s after contrast injection in our study). Pearson coefficient and Bland-Altman analysis were used to compare the correlation between the two ECVs, Spearman correlations were used to investigate the association between imaging parameters and PF, Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of the ECVs for advanced fibrosis (F2-F3), and multivariate logistic regression analysis was used to examine the relationship between PF and imaging parameters. RESULTS: There was a strong correlation between DECT- and MR-derived ECVs (r = 0.948; p < 0.001). The two ECVs were positively correlated with PF (DECT: r = 0.647, p < 0.001; MR: r = 0.614, p < 0.001), and the mean values were 0.34 ± 0.08 (range: 0.22-0.62) and 0.35 ± 0.09 (range: 0.24-0.66), respectively. The area under the operating characteristic curve (AUC) for subjects with advanced fibrosis diagnosed by ECV was 0.86 for DECT-ECV and 0.87 for MR-ECV. Multivariate logistic regression analysis showed that the DECT-ECV was an independent predictor of PF. CONCLUSIONS: The ECV could be an effective predictor of histological fibrosis, and DECT is equivalent to MRI for characterizing pancreatic ECV changes.

Quantitative Magnetic Resonance Imaging for the Pancreas: Current Status.

ABSTRACT: Magnetic resonance imaging (MRI) is important for evaluating pancreatic disorders, and anatomical landmarks play a major role in the interpretation of results. Quantitative MRI is an effective diagnostic modality for various pathologic conditions, as it allows the investigation of various physical parameters. Recent advancements in quantitative MRI techniques have significantly improved the accuracy of pancreatic MRI. Consequently, this method has become an essential tool for the diagnosis, treatment, and monitoring of pancreatic diseases. This comprehensive review article presents the currently available evidence on the clinical utility of quantitative MRI of the pancreas.

Peripancreatic tuberculosis.

Peripancreatic tuberculosis (PTB) is a very rare variant of tuberculosis and its clinical and radiological findings are similar to those of pancreatic malignancy. Diagnosis of PTB is usually incidental and is made after surgical resection. We are presenting a male patient who had complaints of prolonged fever, significant weight loss and yellowish discolouration of eyes and dark-coloured urine. Investigations revealed that there was a pancreatic mass causing obstructive jaundice. However, the aetiology of the mass, whether tubercular or malignant, was not clear. Hence, the patient was planned for endoscopic ultrasound-guided fine needle aspiration cytology. Cytology and aspirate were sent for a cartridge-based nucleic acid amplification test which revealed the presence of Mycobacterium tuberculosis, sensitive to rifampicin. The patient improved completely after treatment with antitubercular therapy.

[Current CT developments in imaging of pancreatic diseases]. / Aktuelle CT-Entwicklungen für die Diagnostik von Erkrankungen des Pankreas.

BACKGROUND: Diseases of the pancreas are often diagnosed late and can have fatal consequences for patients. PURPOSE: Current computed tomography (CT) developments in imaging of pancreatic diseases. MATERIALS AND METHODS: Evaluation of numerous studies, especially considering modern CT techniques such as dual-energy CT and photon-counting CT but also artificial intelligence (AI) algorithms for disease detection. RESULTS: Spectral imaging using dual-energy CT and photon-counting CT offers numerous advantages in the detection of pancreatic disease and can thus improve diagnostic performance but also provide additional information on any therapeutic response. Likewise, advances in the development of AI algorithms are improving diagnostic performance. CONCLUSION: In the future, we can expect increasingly improved detection of pancreatic diseases, thereby enabling patients to be treated more quickly, which will consequently result in improved outcomes.

Evolution of Pancreatic Endotherapy.

In the last half century, endotherapy for pancreatic diseases has changed considerably. Although endoscopic retrograde cholangiopancreatography (ERCP) and endoscopic ultrasound (EUS) were introduced initially as diagnostic tools, they quickly evolved into therapeutic tools for preventing and managing complications of pancreatitis. More recently, therapeutic endoscopy has shown potential in palliation and cure of pancreatic neoplasms. This article discusses the changing landscape of pancreatic endotherapy as therapeutic ERCP and EUS were introduced and because they have evolved to treat different diseases.

Progress in the application of dual-energy CT in pancreatic diseases.

Pancreatic diseases are difficult to diagnose due to their insidious onset and complex pathophysiological developmental characteristics. In recent years, dual-energy computed tomography (DECT) imaging technology has rapidly advanced. DECT can quantitatively extract and analyze medical imaging features and establish a correlation between these features and clinical results. This feature enables the adoption of more modern and accurate clinical diagnosis and treatment strategies for patients with pancreatic diseases so as to achieve the goal of non-invasive, low-cost, and personalized treatment. The purpose of this review is to elaborate on the application of DECT for the diagnosis, biological characterization, and prediction of the survival of patients with pancreatic diseases (including pancreatitis, pancreatic cancer, pancreatic cystic tumor, pancreatic neuroendocrine tumor, and pancreatic injury) and to summarize its current limitations and future research prospects.