Suresh T. Chari
University of Texas MD Anderson Cancer Center
CancerInternal medicineRadiologyEndocrinologySurgeryPathologyOncologyPancreatitisIntraductal papillary mucinous neoplasmAcute pancreatitisPancreatic diseaseAutoimmune pancreatitisPancreasDiseasePancreatic ductPancreatic cancerEndoscopic ultrasoundDiabetes mellitusMedicineGastroenterology
614Publications
103H-index
28.1kCitations
Publications 591
Newest
#1Dana K. AndersenH-Index: 21
#2Suresh T. ChariH-Index: 103
Last. Stephen J. PandolH-Index: 73
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#1Sushil Kumar GargH-Index: 22
#2Suresh T. ChariH-Index: 103
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#1Garima Suman (Mayo Clinic)H-Index: 2
#2Anurima Patra (Mayo Clinic)
Last. Ajit H. Goenka (Mayo Clinic)H-Index: 11
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Abstract Objective Quality gaps in medical imaging datasets lead to profound errors in experiments. Our objective was to characterize such quality gaps in public pancreas imaging datasets (PPIDs), to evaluate their impact on previously published studies, and to provide post-hoc labels and segmentations as a value-add for these PPIDs. Methods We scored the available PPIDs on the medical imaging data readiness (MIDaR) scale, and evaluated for associated metadata, image quality, acquisition phase, ...
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#1Ananya Panda (Mayo Clinic)H-Index: 12
#2Panagiotis Korfiatis (Mayo Clinic)H-Index: 19
Last. Ajit H. Goenka (Mayo Clinic)H-Index: 11
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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...
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#1Barbara J. KennerH-Index: 5
#2Suresh T. Chari (University of Texas MD Anderson Cancer Center)H-Index: 103
Last. Brian M. Wolpin (Harvard University)H-Index: 64
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ABSTRACT Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly nonspecific. The premise of improved survival through early detection is that more individuals will benefit from potentially curative treatment. Artificial intelligence (AI) methodology has emerged as a successful tool for risk stratification and identification in general health care. In response to the maturity of ...
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#1Shounak Majumder (Mayo Clinic)H-Index: 13
#2William R. Taylor (Mayo Clinic)H-Index: 86
Last. John B. Kisiel (Mayo Clinic)H-Index: 21
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Purpose: We have previously identified tissue methylated DNA markers (MDMs) associated with pancreatic ductal adenocarcinoma (PDAC). In this case-control study, we aimed to assess the diagnostic performance of plasma MDMs for PDAC. Experimental Design: Thirteen MDMs(GRIN2D, CD1D, ZNF781, FER1L4, RYR2, CLEC11A, AK055957, LRRC4, GH05J042948, HOXA1, PRKCB, SHISA9, and NTRK3) were identified and assays were optimized in plasma. Next, 340 plasma samples(170 PDAC cases, 170 controls) were assayed usin...
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#1Frederico G.S. Toledo (University of Texas MD Anderson Cancer Center)
Last. Dhiraj YadavH-Index: 51
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Type 2 diabetes is a known risk factor for the development of pancreatic adenocarcinoma. However, the mechanisms behind this epidemiological association remain unclear. Whether it is hyperglycemia or insulin resistance that increases the risk of pancreatic adenocarcinoma is a question that has yet to be settled. A new study by Kim et al published in The American Journal of Gastroenterology shows that the presence of insulin resistance independently increases pancreatic cancer mortality even in i...
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#1Seifeldin Hakim (University of Texas Health Science Center at Houston)
#1Seifeldin Hakim (University of Texas Health Science Center at Houston)H-Index: 3
Last. Manoop S. Bhutani (University of Texas MD Anderson Cancer Center)H-Index: 56
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Background and Objectives No single optimal test reliably determines the pancreatic cyst subtype. Following EUS-FNA, the "string sign" test can differentiate mucinous from nonmucinous cysts. However, the interobserver variability of string sign results has not been studied. Methods An experienced endosonographer performed EUS-FNA of pancreatic cysts on different patients and was recorded on video performing the string sign test for each. The videos were shared internationally with 14 experienced...
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#1Pramod Kumar GargH-Index: 46
#2Suresh T. ChariH-Index: 103
Last. Ashok K. SalujaH-Index: 70
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