Pancreatic Neoplasms

CODA: quantitative 3D reconstruction of large tissues at cellular resolution
A central challenge in biology is obtaining high-content, high-resolution information while analyzing tissue samples at volumes …
Ashley L. Kiemen, Alicia M. Braxton, Mia P. Grahn, Kyu Sang Han, Jaanvi Mahesh Babu, Rebecca Reichel, Ann C. Jiang, Bridgette Kim, Jocelyn Hsu, Falone Amoa, Sashank Reddy, Seung-Mo Hong, Toby C. Cornish, Elizabeth D. Thompson, Peng Huang, Laura D. Wood, Ralph H. Hruban, Denis Wirtz, Pei-Hsun Wu
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Quantitative Analysis of Ki67, a Prognostic Biomarker in Gastroenteropancreatic Neuroendocrine Tumors
Ki67 labeling index (LI) is the preferred method of establishing grade for gastroenteropancreatic neuroendocrine tumors (GEP-NETs). There are a number of acceptable methods for calculating the Ki67 LI in GEP-NETs, but application of quantitative image analysis is a promising method to increase accuracy and repeatability. KiNet is a single-stage deep-learning-based detection and classification pipeline for Ki67 LI with performance meeting or exceeding the current state of the art.
May 19, 2022 2:00 PM — 3:00 PM MD Anderson Cancer Center (Virtual)
Toby C. Cornish
Quantitative Analysis of Ki67, a Prognostic Biomarker in Gastroenteropancreatic Neuroendocrine Tumors
Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67.
PURPOSE: We focus on the problem of scarcity of annotated training data for nucleus recognition in Ki-67 immunohistochemistry …
Xuhong Zhang, Toby C. Cornish, Lin Yang, Tellen D. Bennett, Debashis Ghosh, Fuyong Xing
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Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images
OBJECTIVE: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example, in Ki67 …
Fuyong Xing, Toby C. Cornish, Tell Bennett, Debashis Ghosh, Lin Yang
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Metastatic progression is associated with dynamic changes in the local microenvironment
Most cancer-associated deaths result from metastasis. However, it remains unknown whether the size, microenvironment or other features …
Nicole M. Aiello, David L. Bajor, Robert J. Norgard, Amine Sahmoud, Neha Bhagwat, Minh N. Pham, Toby C. Cornish, Christine A. Iacobuzio-Donahue, Robert H. Vonderheide, Ben Z. Stanger
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A single institution's 26-year experience with nonfunctional pancreatic neuroendocrine tumors: a validation of current staging systems and a new prognostic nomogram.
OBJECTIVE: To validate the 2010 American Joint Committee on Cancer (AJCC) and 2006 European Neuroendocrine Tumor Society (ENETS) tumor …
Trevor A. Ellison, Christopher L. Wolfgang, Chanjuan Shi, John L. Cameron, Peter Murakami, Liew Jun Mun, Aatur D. Singhi, Toby C. Cornish, Kelly Olino, Zina Meriden, Michael Choti, Luis A. Diaz, Timothy M. Pawlik, Richard D. Schulick, Ralph H. Hruban, Barish H. Edil
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Grading of well-differentiated pancreatic neuroendocrine tumors is improved by the inclusion of both Ki67 proliferative index and mitotic rate.
The grading system for pancreatic neuroendocrine tumors (PanNETs) adopted in 2010 by the World Health Organization (WHO) mandates the …
Chad M. McCall, Chanjuan Shi, Toby C. Cornish, David S. Klimstra, Laura H. Tang, Olca Basturk, Liew Jun Mun, Trevor A. Ellison, Christopher L. Wolfgang, Michael A. Choti, Richard D. Schulick, Barish H. Edil, Ralph H. Hruban
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The Johns Hopkins Atlas of Pancreatic Pathology: Developing an Interactive Atlas and Teaching Algorithm for the Apple iPad
Bona Kim, Norman Barker, Ralph Hruban, Corinne Sandone, Toby C. Cornish
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Hyaline globules in neuroendocrine and solid-pseudopapillary neoplasms of the pancreas: a clue to the diagnosis
Distinguishing between solid-pseudopapillary neoplasms (SPNs) and pancreatic neuroendocrine tumors (PanNETs) may pose a diagnostic …
Zina Meriden, Chanjuan Shi, Barish H. Edil, Trevor Ellison, Christopher L. Wolfgang, Toby C. Cornish, Richard D. Schulick, Ralph H. Hruban
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