Suresh T. Chari
University of Texas MD Anderson Cancer Center
CancerInternal medicineRadiologyEndocrinologySurgeryPathologyOncologyRetrospective cohort studyPancreatitisAcute pancreatitisPancreatic diseaseAutoimmune pancreatitisPancreasDiseasePancreatic cancerEndoscopic ultrasoundDiabetes mellitusGeneral surgeryMedicineGastroenterology
Publications 595
#1Laurens Janssens (Mayo Clinic)
#2Alexander D. Weston (Mayo Clinic)H-Index: 7
Last. Suresh T. Chari (Mayo Clinic)H-Index: 103
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Abstract null null Background & aims null Increased intrapancreatic fat is associated with pancreatic diseases; however, there are no established objective diagnostic criteria for fatty pancreas. On non-contrast computed tomography (CT), adipose tissue shows negative Hounsfield Unit (HU) attenuations (−150 to −30 HU). Using whole organ segmentation on non-contrast CT, we aimed to describe whole gland pancreatic attenuation and establish 5th and 10th percentile thresholds across a spectrum of age...
#1Suresh T. Chari (Johns Hopkins University)H-Index: 103
#2Dana K. Andersen (Johns Hopkins University)H-Index: 21
Last. Dana K. AndersenH-Index: 25
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#1Neil B. Marya (Mayo Clinic)H-Index: 7
#2Patrick D. PowersH-Index: 2
Last. Michael J. Levy (Mayo Clinic)H-Index: 107
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Objective The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma (PDAC) and techniques for tissue sampling of AIP are suboptimal. These limitations often result in delayed or failed diagnosis, which negatively impact patient management and outcomes. This study aimed to create an endoscopic ultrasound (EUS)-based convolutional neural network (CNN) model trained to differentiate AIP from ...
10 CitationsSource
#1Sushil Kumar GargH-Index: 23
#1Sushil K. GargH-Index: 5
Last. Suresh T. ChariH-Index: 103
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#1Dana K. AndersenH-Index: 21
#2Suresh T. ChariH-Index: 103
Last. Stephen J. PandolH-Index: 74
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#1Naomi R M Schwartz (UW: University of Washington)H-Index: 3
#2Lynn M. Matrisian (Pancreatic Cancer Action Network)H-Index: 11
Last. Joshua A. Roth (Fred Hutchinson Cancer Research Center)H-Index: 13
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Background null There are no established methods for pancreatic cancer (PAC) screening, but the NCI and the Pancreatic Cancer Action Network (PanCAN) are investigating risk-based screening strategies in patients with new-onset diabetes (NOD), a group with elevated PAC risk. Preliminary estimates of the cost-effectiveness of these strategies can provide insights about potential value and inform supplemental data collection. Using data from the Enriching New-Onset Diabetes for Pancreatic Cancer (E...
#1Yasuki Hori (Nagoya City University)H-Index: 13
#2Suresh T. Chari (Mayo Clinic)H-Index: 103
Last. Akira Satou (Aichi Medical University)H-Index: 8
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Biliary strictures caused by inflammation or fibrosis lead to jaundice and cholangitis which often make it difficult to distinguish malignant strictures. In cases when malignancy cannot be excluded, surgery is often performed. The concept of immunoglobulin G4 (IgG4)-related sclerosing cholangitis (SC) as a benign biliary stricture was recently proposed. The high prevalence of the disease in Asian countries has resulted in multiple diagnostic and treatment guidelines; however, there is need to fo...
#1Lillian Wang (Mayo Clinic)H-Index: 1
#1Lillian Wang (Mayo Clinic)H-Index: 1
Last. Vinay Chandrasekhara (Mayo Clinic)H-Index: 15
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BACKGROUND/AIMS Endoscopic intervention for pancreatic fluid collections (PFCs) with disconnected pancreatic duct syndrome (DPDS) has been associated with failures and increased need for additional endoscopic and non-endoscopic interventions. The primary aim of this study is to determine outcomes of EUS-guided transmural drainage of PFCs in patients with DPDS. METHODS In patients undergoing EUS-guided drainage of PFCs from 1/2013 to 1/2018, demographic profiles, procedural indications and detail...
2 CitationsSource
#1Ananya Panda (Mayo Clinic)H-Index: 12
#2Panagiotis Korfiatis (Mayo Clinic)H-Index: 20
Last. Ajit H. Goenka (Mayo Clinic)H-Index: 10
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PURPOSE To develop a two-stage 3D-CNN for fully automated volumetric segmentation of pancreas on CT and to further evaluate its performance in the context of intra-reader and inter-reader reliability at full dose and reduced radiation dose CTs on a public dataset. METHODS A dataset of 1994 abdomen CT scans (portal venous phase, slice thickness ≤ 3.75-mm, multiple CT vendors) was curated by two radiologists (R1 and R2) to exclude cases with pancreatic pathology, sub-optimal image quality, and ima...