Digestive System Commons^™

Comparison Of Fully Covered Self-Expandable Metal Biliary Stents With Or Without Anchoring Double-Pigtail Plastic Stents: A Systematic Review And Meta-Analysis, Samuel Tanner, Fadi Hawa, Alejandra Vargas, Priyata Dutta, Antonio Facciorusso, Jean M. Chalhoub, Jorge D. Machicado

Department of Medicine Faculty Publications

Background and AIMS

Fully covered self-expandable metal stents (FcSEMSs) have become the mainstay of treatment for a variety of biliary pathologies. However, FcSEMSs have been associated with a greater rate of stent migration than other types of stents. A technique of anchoring double-pigtail plastic stents (DPPSs) has been proposed to minimize migration of biliary FcSEMSs. Herein, we evaluated the efficacy of anchoring DPPSs among patients treated with biliary FcSEMSs.

Methods

We performed a systematic review using PubMed, EMBASE, and Web of Science from database inception through August 2023. Full-text articles comparing FcSEMSs with or without anchoring DPPSs were included. We …

Wernicke’S Encephalopathy With Classic Triad And Normal Mri In A Young Woman Following Rapid-Sequence Bariatric And Biliary Surgery, Hugo Zamarron, Nina Mourao, Roberto A. Cruz Saldana

Research Colloquium

Background: Wernicke’s encephalopathy is a life-threatening neurological disorder caused by thiamine deficiency, most commonly associated with alcoholism. However, postoperative nutritional deficiencies in young patients undergoing bariatric procedures are increasingly recognized. This case is unique due to the rapid succession of bariatric and cholecystectomy surgeries, development of classic Wernicke’s symptoms with a normal MRI, and diagnostic delay due to overlapping differential diagnoses including intracranial hypotension and myelopathy.

Case Presentation: A 22-year-old woman with class III obesity underwent sleeve gastrectomy in July 2022, followed by significant weight loss and persistent intractable vomiting. Due to suspected gallbladder disease, she underwent a cholecystectomy in …

Redefining The Albumin-Bilirubin Score: Predictive Modeling And Multidimensional Integration In Liver And Systemic Disease, Berkay Demirors, Ramin Shekouhi, Paola Berrios Jimenez, Anjali Yadav, Guido Chiriboga, Vishal A. Mahesh, Harsheen K. Manaise, Jade Bowers, Angel Aguayo Merly, Emmanuel Gabriel

School of Medicine Faculty Publications

This editorial comment is on the article by Xu et al. It offers an in-depth analysis of liver function assessment tools and their prognostic roles in non-malignant liver diseases, with a focus on the albumin-bilirubin (ALBI) score. ALBI’s components, grading system, and clinical relevance across various liver conditions are reviewed and compared with traditional models such as the Child-Pugh and model for end-stage liver disease scores. We included recent studies evaluating ALBI’s role in estimating liver function, suggesting it may help differentiate patients who appear similar under other staging systems, and assist in guiding clinical decisions. Although ALBI is primarily …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jiianxin Wang

Computer Science Faculty Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Appendiceal Diverticulum Masquerading As Acute Appendicitis, Aesha Patel, Asad Abbas, Ratul Bhattacharyya, Dana Galaktionova

Rowan-Virtua Research Day

Appendiceal diverticula present as rare clinical findings and are most often confused with acute appendicitis due to similar presentation. The incidence in such cases is reported at a rate no greater than 1%.

We present a rare case of a 65-year-old female treated for acute appendicitis who was instead found to have acute sequelae of appendiceal diverticulosis.

Suffering In Silence: Is Gastroparesis Underdiagnosed?, Dennis J. Baumgardner

Journal of Patient-Centered Research and Reviews

In this introduction to Volume 6, Issue 2, the editor-in-chief of the Journal of Patient-Centered Research and Reviews offers additional comment to the clinical review of diabetic gastroparesis authored by Farmer and colleagues (p. 148), regarding the problem of undiagnosed disease. Increased awareness of this entity and appropriate questioning regarding symptoms of diabetic gastroparesis in the primary care setting may prevent the “suffering in silence” experienced by many patients with this complication.

Aortoduodenal Fistula Forms From Primary Aortic Stump Graft In A Two-Time Multi-Visceral Transplant Patient With Presentation Of Gastrointestinal Bleed And Bowel Perforation: A Case Report, Brielle Corrente

Graduate Student Research Symposium

Usually not diagnosed until open laparotomy, aortoduodenalfistulas (ADF) are one of the rarest complications of intestinal transplant surgery. With an incidence rate of only 0.04% at autopsy and only 250 documented cases since the early 1800’s, aortoduodenal fistulas are the most deadly complications of intestinal transplantation with a mortality rate of 100% without surgical intervention. A 39 year old, two-time multi-visceral transplant African American female patient suffered from a primary aortoduodenal fistula formation in a primary modified multi-visceral transplant aortic stump graft site. With emergency open laparotomy repair, revascularization of the secondary multi-visceral transplant was performed, saving the life of …

Management Of Pediatric Acute Appendicitis In The Computed Tomographic Era., Kuojen Tsao, Shawn D. St Peter, Patricia A. Valusek, Troy L. Spilde, Scott J. Keckler, Abhilash Nair, Daniel J. Ostlie, G W. Holcomb Iii

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND/PURPOSE: The treatment options for complicated appendicitis in children continue to evolve. Optimal management of complicated appendicitis relies on an accurate preoperative diagnosis. We examined the accuracy of our preoperative diagnosis including computed tomography (CT) and the influence on the management of children with perforated and nonperforated appendicitis.

METHODS: Following IRB approval, a 6-year review of all patients that underwent an appendectomy for suspected appendicitis was performed. Treatments included immediate operations and initial nonoperative management (antibiotic therapy +/- percutaneous drainage of abscess). Appendicitis was confirmed by histological examination.

RESULTS: One thousand seventy-eight patients underwent appendectomy for suspected appendicitis. Preoperative CT …

Current Significance Of Meconium Plug Syndrome., Scott J. Keckler, Shawn D. St Peter, Troy L. Spilde, Kuojen Tsao, Daniel J. Ostlie, G W. Holcomb Iii, Charles L. Snyder

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: The significance of meconium plug syndrome is dependent on the underlying diagnosis. The incidence of pathologic finding, particularly Hirschsprung's disease, contributing to the presence of these plugs, has been debated. However, there are little recent data in the literature. Therefore, we reviewed our experience with meconium plugs as a cause of abdominal distension to evaluate the associated conditions and incidence of Hirschsprung's disease.

METHODS: We reviewed the records of newborns with meconium plugs found in the distal colon on contrast enema from 1994 to 2007. Demographics, radiologic findings, histologic findings, operative findings, and clinical courses were reviewed.

RESULTS: During …

Using Pareto Fronts To Evaluate Polyp Detection Algorithms For Ct Colonography, Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara

Electrical & Computer Engineering Faculty Publications

We evaluate and improve an existing curvature-based region growing algorithm for colonic polyp detection for our CT colonography (CTC) computer-aided detection (CAD) system by using Pareto fronts. The performance of a polyp detection algorithm involves two conflicting objectives, minimizing both false negative (FN) and false positive (FP) detection rates. This problem does not produce a single optimal solution but a set of solutions known as a Pareto front. Any solution in a Pareto front can only outperform other solutions in one of the two competing objectives. Using evolutionary algorithms to find the Pareto fronts for multi-objective optimization problems has been …

Validating Pareto Optimal Operation Parameters Of Polyp Detection Algorithms For Ct Colonography, Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers, Maryellen L. Giger (Ed.), Nico Karssemeijer (Ed.)

Electrical & Computer Engineering Faculty Publications

We evaluated a Pareto front-based multi-objective evolutionary algorithm for optimizing our CT colonography (CTC) computer-aided detection (CAD) system. The system identifies colonic polyps based on curvature and volumetric based features, where a set of thresholds for these features was optimized by the evolutionary algorithm. We utilized a two-fold cross-validation (CV) method to test if the optimized thresholds can be generalized to new data sets. We performed the CV method on 133 patients; each patient had a prone and a supine scan. There were 103 colonoscopically confirmed polyps resulting in 188 positive detections in CTC reading from either the prone or …

Wavelet Analysis In Virtual Colonoscopy, Sharon Greenblum, Jiang Li, Adam Huang, Ronald M. Summers, Armando Manduca (Ed.), Amir A. Amini (Ed.)

Electrical & Computer Engineering Faculty Publications

The computed tomographic colonography (CTC) computer aided detection (CAD) program is a new method in development to detect colon polyps in virtual colonoscopy. While high sensitivity is consistently achieved, additional features are desired to increase specificity. In this paper, a wavelet analysis was applied to CTCCAD outputs in an attempt to filter out false positive detections. 52 CTCCAD detection images were obtained using a screen capture application. 26 of these images were real polyps, confirmed by optical colonoscopy and 26 were false positive detections. A discrete wavelet transform of each image was computed with the MATLAB wavelet toolbox using the …

Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Techniques, Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi

Electrical & Computer Engineering Faculty Publications

Colonie polyps appear like elliptical protrusions on the inner wall of the colon. Curvature based features for colonie polyp detection have proved to be successful in several computer-aided diagnostic CT colonography (CTC) systems. Some simple thresholds are set for those features for creating initial polyp candidates, sophisticated classification scheme are then applied on these polyp candidates to reduce false positives. There are two objective functions, the number of missed polyps and false positive rate, that need to be minimized when setting those thresholds. These two objectives conflict and it is usually difficult to optimize them both by a gradient search. …