Michael B. Wallace
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View article: PancreaSeq Genomic Classifier (PancreaSeq GC) Improves Pancreatic Cyst Classification and Detection of Advanced Neoplasia: A Multi-institutional Validation Study
PancreaSeq Genomic Classifier (PancreaSeq GC) Improves Pancreatic Cyst Classification and Detection of Advanced Neoplasia: A Multi-institutional Validation Study Open
Background The preoperative classification of pancreatic cysts and detection of advanced neoplasia (high-grade dysplasia/pancreatic ductal adenocarcinoma [PDAC]) represents a significant diagnostic challenge. A prospective, multi-instituti…
View article: Accurate and Scalable Classification of Colonoscopy Neoplasia using Machine Learning and Natural Language Processing
Accurate and Scalable Classification of Colonoscopy Neoplasia using Machine Learning and Natural Language Processing Open
Introduction: Colorectal cancer (CRC) remains a leading cause of cancer associated death in the United States and colonoscopy the primary screening strategy for prevention. Rates of adenomatous and serrated neoplasia detection are inversel…
View article: Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning
Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning Open
Pancreatic cancer, projected to become the second-deadliest malignancy in Western societies by 2030, requires urgent innovations in early detection and risk stratification. Intraductal papillary mucinous neoplasms (IPMNs) represent critica…
View article: Cost-Effectiveness of a Risk-Based Pancreatic Cancer Early Detection Strategy in New-Onset Diabetes Patients Using a Blood-Based, Non-Invasive Test – An Economic Analysis
Cost-Effectiveness of a Risk-Based Pancreatic Cancer Early Detection Strategy in New-Onset Diabetes Patients Using a Blood-Based, Non-Invasive Test – An Economic Analysis Open
This study aims to assess the clinical and economic benefits of early detection of pancreatic cancer (PC) in patients with new-onset type 3c diabetes (NOD) using a blood-based, cell-free DNA epigenomic test (Avantect; ClearNote Health, CA)…
View article: Pancreas Part Segmentation under Federated Learning Paradigm
Pancreas Part Segmentation under Federated Learning Paradigm Open
We present the first federated learning (FL) approach for pancreas part(head, body and tail) segmentation in MRI, addressing a critical clinical challenge as a significant innovation. Pancreatic diseases exhibit marked regional heterogenei…
View article: Leveraging Multimodal Foundation Models in Biliary Tract Cancer Research
Leveraging Multimodal Foundation Models in Biliary Tract Cancer Research Open
This review explores how multimodal foundation models (MFMs) are transforming biliary tract cancer (BTC) research. BTCs are aggressive malignancies with poor prognosis, presenting unique challenges due to difficult diagnostic methods, mole…
View article: Evaluation of Tideglusib as a Disease Modifying Therapy in Murine Models of Arrhythmogenic Cardiomyopathy
Evaluation of Tideglusib as a Disease Modifying Therapy in Murine Models of Arrhythmogenic Cardiomyopathy Open
View article: In Reply: Health Inequalities of Early-Onset Gastrointestinal Cancers From 2000 to 2021: Findings Based on the Global Burden of Disease Study 2021
In Reply: Health Inequalities of Early-Onset Gastrointestinal Cancers From 2000 to 2021: Findings Based on the Global Burden of Disease Study 2021 Open
View article: Small and Stable Pancreatic Cysts Are Reassuring During Surveillance: Results From the PACYFIC Trial
Small and Stable Pancreatic Cysts Are Reassuring During Surveillance: Results From the PACYFIC Trial Open
Background Pancreatic cysts are increasingly discovered on imaging studies performed for unrelated conditions. Currently, surveillance of these lesions poses a substantial burden on patients, and health care recourses. We hypothesized that…
View article: Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs Open
Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requiring surgery, from low-risk lesions remains a clinical challenge, often resulting in unnecessary procedures due to limited specificity of curr…
View article: Protein N-Glycosylation Traits Combined With CA19-9 Accurately Distinguish Pancreatic Cancer Cases From Healthy Controls and Benign Pancreatic Diseases
Protein N-Glycosylation Traits Combined With CA19-9 Accurately Distinguish Pancreatic Cancer Cases From Healthy Controls and Benign Pancreatic Diseases Open
Objectives: New methods are needed to detect pancreatic ductal adenocarcinoma (PDAC) earlier to improve outcomes. We previously reported that a panel of protein N -glycosylation traits (NGTs) discriminated PDAC from healthy controls with a…
View article: Ethical framework for responsible foundational models in medical imaging
Ethical framework for responsible foundational models in medical imaging Open
The emergence of foundational models represents a paradigm shift in medical imaging, offering extraordinary capabilities in disease detection, diagnosis, and treatment planning. These large-scale artificial intelligence systems, trained on…
View article: Microcystin contamination of shellfish along the freshwater-to-marine continuum within US mid-Atlantic and Northeast estuaries
Microcystin contamination of shellfish along the freshwater-to-marine continuum within US mid-Atlantic and Northeast estuaries Open
Estuaries are dynamic ecosystems that are an important habitat for bivalves. The freshwater bodies that discharge into estuaries can introduce cyanobacteria and cyanotoxins that may accumulate within food webs. Microcystin is a hepatotoxin…
View article: Older adults living with gastrointestinal cancers in 2021
Older adults living with gastrointestinal cancers in 2021 Open
View article: Challenges for Predictive Modeling With Neural Network Techniques Using Error‐Prone Dietary Intake Data
Challenges for Predictive Modeling With Neural Network Techniques Using Error‐Prone Dietary Intake Data Open
Dietary intake data are routinely drawn upon to explore diet‐health relationships, and inform clinical practice and public health. However, these data are almost always subject to measurement error, distorting true diet‐health relationship…
View article: Recommendations, evidence and sustainability of screening for pancreatic cancer in high-risk individuals
Recommendations, evidence and sustainability of screening for pancreatic cancer in high-risk individuals Open
Pancreatic cancer is a highly lethal malignancy and is predicted to become the second leading cause of cancer-related deaths by 2030. Early detection significantly improves outcomes, but general population screening remains infeasible due …
View article: AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication
AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication Open
View article: Advances for Managing Pancreatic Cystic Lesions: Integrating Imaging and AI Innovations
Advances for Managing Pancreatic Cystic Lesions: Integrating Imaging and AI Innovations Open
Pancreatic cystic lesions (PCLs) represent a spectrum of non-neoplasms and neoplasms with varying malignant potential, posing significant challenges in diagnosis and management. While some PCLs are precursors to pancreatic cancer, others r…
View article: IPMN Risk Assessment under Federated Learning Paradigm
IPMN Risk Assessment under Federated Learning Paradigm Open
Accurate classification of Intraductal Papillary Mucinous Neoplasms (IPMN) is essential for identifying high-risk cases that require timely intervention. In this study, we develop a federated learning framework for multi-center IPMN classi…
View article: Large-scale multi-center CT and MRI segmentation of pancreas with deep learning
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning Open
Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation is more established, MRI-based segmentation methods are under…
View article: Sewage-and fertilizer-derived nutrients alter the intensity, diversity, and toxicity of harmful cyanobacterial blooms in eutrophic lakes
Sewage-and fertilizer-derived nutrients alter the intensity, diversity, and toxicity of harmful cyanobacterial blooms in eutrophic lakes Open
Cyanobacterial harmful algal blooms (CHABs) are promoted by excessive nutrient loading and, while fertilizers and sewage are the most prevalent external nutrient sources in most watersheds, the differential effects of these nutrient source…
View article: Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI Open
Federated learning (FL) enables collaborative model training across institutions without sharing sensitive data, making it an attractive solution for medical imaging tasks. However, traditional FL methods, such as Federated Averaging (FedA…
View article: Self-Reported COVID-19 Vaccine Status and Barriers for Pediatric Emergency Patients and Caregivers
Self-Reported COVID-19 Vaccine Status and Barriers for Pediatric Emergency Patients and Caregivers Open
Objective: This study determined if the caregivers of children in the emergency department (ED) have the same COVID-19 vaccination status as the child, the reasons they chose to not vaccinate the child, and self-identified barriers to vacci…
View article: Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation
Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation Open
Colorectal cancer (CRC) is the third most common cause of cancer diagnosed in the United States and the second leading cause of cancer-related death among both genders. Notably, CRC is the leading cause of cancer in younger men less than 5…
View article: Can optical evaluation distinguish between T1a and T1b esophageal adenocarcinoma: an international expert interobserver agreement study
Can optical evaluation distinguish between T1a and T1b esophageal adenocarcinoma: an international expert interobserver agreement study Open
Background Piecemeal endoscopic mucosal resection (EMR) is an acceptable technique for T1a esophageal adenocarcinoma, but en bloc R0 excision is advocated for T1b disease as it may offer a potential cure and mitigate recurrence. Thus, dist…
View article: Trends and Age–Period–Cohort Effect on the Incidence of Early-Onset Colorectal Cancer (20–44 Years) from 1990 to 2021 in the United States
Trends and Age–Period–Cohort Effect on the Incidence of Early-Onset Colorectal Cancer (20–44 Years) from 1990 to 2021 in the United States Open
The incidence of early-onset colorectal cancer (EO-CRC) in individuals under 50 years old is rapidly increasing in the United States. This study aims to evaluate EO-CRC incidence rates using data from the Global Burden of Disease Study (GB…
View article: New Onset Inflammatory Bowel Disease Risk Following Bariatric Surgery: A Systematic Review and Meta-Analysis of Observational Studies
New Onset Inflammatory Bowel Disease Risk Following Bariatric Surgery: A Systematic Review and Meta-Analysis of Observational Studies Open
Background: While bariatric surgery may reduce obesity-associated inflammation, alterations in gut microbiome and nutrition could impact inflammatory bowel disease (IBD) risk. This study aimed to investigate the association between bariatr…
View article: Novel Identification of Ankyrin-R in Cardiac Fibroblasts and a Potential Role in Heart Failure
Novel Identification of Ankyrin-R in Cardiac Fibroblasts and a Potential Role in Heart Failure Open
Altered ankyrin-R (AnkR; encoded by ANK1) expression is associated with diastolic function, left ventricular remodeling, and heart failure with preserved ejection fraction (HFpEF). First identified in erythrocytes, the role of AnkR in othe…
View article: <i>Helicobacter pylori</i>: A concise review of the latest treatments against an old foe
<i>Helicobacter pylori</i>: A concise review of the latest treatments against an old foe Open
Helicobacter pylori is a significant public health concern given its high prevalence, growing rates of antibiotic resistance, and carcinogenic effect, all of which create management challenges for internists, gastroenterologists, an…
View article: Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation Open
Pancreatic cancer remains one of the leading causes of cancer-related mortality worldwide. Precise segmentation of pancreatic tumors from medical images is a bottleneck for effective clinical decision-making. However, achieving a high accu…