BACKGROUND AND OBJECTIVES

Hepatobiliarypancreatic tuberculosis (HBPTB) is a less common form of tuberculosis that often presents as malignancy or lithiasis. Advances in diagnostics and minimally invasive procedures have led to the detection of more patients with milder forms of TB requiring surgical management. Due to the low incidence rates and lack of standardized approaches, additional studies are needed to improve patient outcomes. This study examined the risk factors, diagnostic methods, and treatments for HBPTB patients at the University of the Philippines – Philippine General Hospital (UP-PGH) from January 1, 2014 to December 31, 2021.

This retrospective descriptive study utilized our institutional database to identify patients who underwent a surgical procedure for HBPTB and their associated risk factors. Inclusion criteria required biopsy or microbiologic proof of tuberculous involvement of the biliary tract or nearby structures.

Among a total of 45 patients, the most common admitting diagnosis were HBP tuberculosis (37.8%) and malignancy (35.6%). 47.6% of patients had a previous or concurrent TB exposure. Sixty percent had subclinical malnutrition indicated by normal weight and low albumin. The liver (37.8%) and the bile ducts (33.3%) were the most common organs involved. The most common surgical procedures done were ultrasound-guided liver biopsy, biliary enteric anastomosis, percutaneous transhepatic biliary drainage (PTBD), and endoscopic retrograde cholangiopancreatography with or without stenting (ERCP).

This study provides additional data for clinicians to tailor diagnostic and treatment plans accordingly. Striking a balance between surgical procedures and appropriate anti-tuberculous therapy (ATT) is essential for successful treatment. Local data can be useful to help identify tuberculosis patterns unique to Filipinos and highlight socio-economic factors contributing to this rare presentation of TB.

Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in medical image segmentation. Convolutional neural network (CNN) and Transformer-based networks perform well but have limitations: CNN have constrained receptive fields, and Transformer underutilize image features. This work proposes an improved pancreas segmentation method by combining CNN and Transformer. Point-wise separable convolution was introduced in a stage-wise encoder to extract more features with fewer parameters. A densely connected ensemble decoder enabled multi-scale feature fusion, addressing the structural constraints of skip connections. Consistency terms and contrastive loss were integrated into deep supervision to ensure model accuracy. Extensive experiments on the Changhai and National Institute of Health (NIH) pancreas datasets achieved the highest Dice similarity coefficient (DSC) values of 76.32% and 86.78%, with superiority in other metrics. Ablation studies validated each component's contributions to performance and parameter reduction. Results demonstrate that the proposed loss function smooths training and optimizes performance. Overall, the method outperforms other advanced methods, enhances pancreas segmentation performance, supports physician diagnosis, and provides a reliable reference for future research.
Humans ; Neural Networks, Computer ; Pancreas/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Deep Learning

OBJECTIVES: In recent years, the incidence and detection rate of pancreatic cystic lesions (PCLs) have increased significantly. Endoscopic ultrasound (EUS) plays an indispensable role in the diagnosis and differential diagnosis of PCLs. However, evidence comparing the diagnostic performance of EUS-guided fine-needle aspiration (EUS-FNA) and fine-needle biopsy (FNB) remains limited. This study aims to compare the diagnostic yield, adequacy of tissue acquisition, and safety between EUS-FNA and EUS-FNB in evaluating PCLs to inform clinical practice. METHODS: A retrospective review was conducted on patients with PCLs who underwent either EUS-FNA or EUS-FNB between January 2014 and August 2021. The diagnostic yield, tissue acquisition adequacy, and incidence of adverse events were compared between the 2 groups. RESULTS: A total of 90 patients with PCLs were included (52 in the FNA group and 38 in the FNB group). The diagnostic yield was similar between the FNA and FNB groups (94.2% vs 94.7%, P>0.05). The adequacy of tissue acquisition was 71.2% in the FNA group and 81.6% in the FNB group (P>0.05). No statistically significant difference was observed in the incidence of adverse events between the 2 groups (P>0.05). CONCLUSIONS Both EUS-FNA and EUS-FNB demonstrate equally high diagnostic yields and tissue adequacy in PCLs, with excellent safety profiles. Both methods are safe and effective diagnostic tools for evaluating PCLs.
Humans ; Endoscopic Ultrasound-Guided Fine Needle Aspiration/adverse effects* ; Retrospective Studies ; Female ; Male ; Pancreatic Cyst/diagnostic imaging* ; Middle Aged ; Biopsy, Fine-Needle/adverse effects* ; Aged ; Pancreatic Neoplasms/diagnosis* ; Adult ; Endosonography/methods* ; Pancreas/pathology* ; Diagnosis, Differential

Drugs and pesticide residues in broiler feed can compromise the therapeutic and production benefits of antibiotic (ANT) application and affect gene expression. In this study, we analyzed the expression of 13 key pancreatic genes and blood physiology parameters after administering one maximum residue limit of herbicide glyphosate (GLY), two ANTs, and one anticoccidial drug (AD). A total of 260 Ross 308 broilers aged 1‍-‍40 d were divided into the following four groups of 65 birds each: control group, which was fed the main diet (MD), and three experimental groups, which were fed MD supplemented with GLY, GLY+ANTs (enrofloxacin and colistin methanesulfonate), and GLY+AD (ammonium maduramicin), respectively. The results showed that the addition of GLY, GLY+ANTs, and GLY+AD caused significant changes in the expression of several genes of physiological and economic importance. In particular, genes related to inflammation and apoptosis (interleukin 6 (IL6), prostaglandin-endoperoxide synthase 2 (PTGS2), and caspase 6 (CASP6)) were downregulated by up to 99.1%, and those related to antioxidant protection (catalase (CAT), superoxide dismutase 1 (SOD1) and peroxiredoxin 6 (PRDX6)) by up to 98.6%, compared to controls. There was also a significant decline in the values of immunological characteristics in the blood serum observed in the experimental groups, and certain changes in gene expression were concordant with changes in the functioning of the pancreas and blood. The changes revealed in gene expression and blood indices in response to GLY, ANTs, and AD provide insights into the possible mechanisms of action of these agents at the molecular level. Specifically, these changes may be indicative of physiological mechanisms to overcome the negative effects of GLY, GLY+ANTs, and GLY+AD in broilers.
Animals ; Glyphosate ; Glycine/administration & dosage* ; Chickens/blood* ; Pancreas/metabolism* ; Anti-Bacterial Agents/pharmacology* ; Animal Feed ; Gene Expression/drug effects* ; Herbicides

BACKGROUND AND OBJECTIVES

Hepatobiliarypancreatic tuberculosis (HBPTB) is a less common form of tuberculosis that often presents as malignancy or lithiasis. Advances in diagnostics and minimally invasive procedures have led to the detection of more patients with milder forms of TB requiring surgical management. Due to the low incidence rates and lack of standardized approaches, additional studies are needed to improve patient outcomes. This study examined the risk factors, diagnostic methods, and treatments for HBPTB patients at the University of the Philippines – Philippine General Hospital (UP-PGH) from January 1, 2014 to December 31, 2021.

This retrospective descriptive study utilized our institutional database to identify patients who underwent a surgical procedure for HBPTB and their associated risk factors. Inclusion criteria required biopsy or microbiologic proof of tuberculous involvement of the biliary tract or nearby structures.

Among a total of 45 patients, the most common admitting diagnosis were HBP tuberculosis (37.8%) and malignancy (35.6%). 47.6% of patients had a previous or concurrent TB exposure. Sixty percent had subclinical malnutrition indicated by normal weight and low albumin. The liver (37.8%) and the bile ducts (33.3%) were the most common organs involved. The most common surgical procedures done were ultrasound-guided liver biopsy, biliary enteric anastomosis, percutaneous transhepatic biliary drainage (PTBD), and endoscopic retrograde cholangiopancreatography with or without stenting (ERCP).

This study provides additional data for clinicians to tailor diagnostic and treatment plans accordingly. Striking a balance between surgical procedures and appropriate anti-tuberculous therapy (ATT) is essential for successful treatment. Local data can be useful to help identify tuberculosis patterns unique to Filipinos and highlight socio-economic factors contributing to this rare presentation of TB.

Humans ; Endoscopic Ultrasound-Guided Fine Needle Aspiration ; Pancreatic Neoplasms ; Pancreas ; Needles

Diabetes and its complications pose a serious threat to human life and health. It has become a public health problem of wide concern worldwide. Currently, diabetes is mainly treated with insulin injection in clinic. However, manual insulin injection still has many shortcomings. In recent years, with the deepening of research, it has been found that an automated insulin delivery system (AID), which combines a continuous glucose monitoring device with an insulin pump, can significantly improve the effectiveness of diabetes treatment and reduce the incidence of complications in patients. This paper firstly introduces the composition of the AID system and its working principle, and then details the development history and current status of the related technologies from the aspects of continuous glucose monitoring technology, insulin pumps and the development of closed-loop control algorithms, etc. Finally, this paper looks forward to the application prospect and future development of AID system in the field of diabetes treatment, providing theoretical reference for further research.
Humans ; Insulin Infusion Systems ; Insulin/administration & dosage* ; Blood Glucose Self-Monitoring/instrumentation* ; Diabetes Mellitus/drug therapy* ; Algorithms ; Hypoglycemic Agents/administration & dosage* ; Blood Glucose/analysis* ; Pancreas, Artificial ; Automation

The prognosis for pancreatic cancer is extremely poor. To improve the prognosis of pancreatic cancer, it is urgently needed to improve early detection to advance treatment. And basically, it is also necessary to emphasise basic research to find novel therapies. By promoting the disease-centered multidisciplinary team model, researchers should achieve high-quality closed-loop process management of the entire life cycle which consists of prevention, screening, diagnosis, treatment, rehabilitation,and follow-up, with the objective of establishing a standard clinical process to improve the outcome in essence. This article summarized the progress of pancreatic cancer at different stages of the whole cycle management recently and shared the experience of pancreatic cancer treatment from the author's team in the past ten years.
Humans ; Pancreatic Neoplasms/therapy* ; Pancreas ; Prognosis

Postpancreatectomy acute pancreatitis (PPAP) is an acute inflammation of the remnant pancreas in the early postoperative period caused by a variety of factors. With the progress of related research,PPAP has been confirmed as an independent risk factor for many severe complications such as postoperative pancreatic fistula. In some cases, it progresses to necrotizing PPAP, increasing the risk of mortality. Currently, the International Study Group for Pancreatic Surgery has standardized and graded PPAP as an independent complication, taking into account factors including serum amylase, radiological features, and clinical impact. This review summarizes how the concept of PPAP was proposed, as well as the latest progress in the research related to its etiology, prognosis, prevention, and treatment. However, given the large heterogeneity of relevant studies and the fact that they were mostly retrospective, in the future, it is necessary to place more emphasis on PPAP and elucidate the problems through more standardized studies to optimize strategies for the prevention and management of complications after pancreatic surgery.
Humans ; Pancreatitis/complications* ; Retrospective Studies ; Acute Disease ; Pancreas ; Postoperative Complications/etiology* ; Pancreatic Fistula/etiology* ; Pancreaticoduodenectomy/adverse effects*

OBJECTIVE: To propose a non-contrast CT-based algorithm for automated and accurate detection of pancreatic lesions at a low cost. METHODS: With Faster RCNN as the benchmark model, an advanced Faster RCNN (aFaster RCNN) model for pancreatic lesions detection based on plain CT was constructed. The model uses the residual connection network Resnet50 as the feature extraction module to extract the deep image features of pancreatic lesions. According to the morphology of pancreatic lesions, 9 anchor frame sizes were redesigned to construct the RPN module. A new Bounding Box regression loss function was proposed to constrain the training process of RPN module regression subnetwork by comprehensively considering the constraints of the lesion shape and anatomical structure. Finally, a detection frame was generated using the detector in the second stage. The data from a total of 728 cases of pancreatic diseases from 4 clinical centers in China were used for training (518 cases, 71.15%) and testing (210 cases, 28.85%) of the model. The performance of aFaster RCNN was verified through ablation experiments and comparison experiments with 3 classical target detection models SSD, YOLO and CenterNet. RESULTS: The aFaster RCNN model for pancreatic lesion detection achieved recall rates of 73.64% at the image level and 92.38% at the patient level, with an average precision of 45.29% and 53.80% at the image and patient levels, respectively, which were higher than those of the 3 models for comparison. CONCLUSION The proposed method can effectively extract the imaging features of pancreatic lesions from non-contrast CT images to detect the pancreatic lesions.
Humans ; Pancreas/diagnostic imaging* ; Algorithms ; China ; Pancreatic Neoplasms/diagnostic imaging* ; Tomography, X-Ray Computed