Prognosis

Artificial intelligence for pathology
Advances in artificial intelligence (AI), especially in deep learning, improve pathological image analysis in basic, translational, and …
Fuyong Xing, Xuhong Zhang, Toby C. Cornish
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Liver metastases of small intestine neuroendocrine tumors: Ki-67 heterogeneity and World Health Organization grade discordance with primary tumors
OBJECTIVES: We examined Ki-67 heterogeneity within single and between synchronous liver metastases of small intestine neuroendocrine …
Chanjuan Shi, Raul S. Gonzalez, Zhiguo Zhao, Tatsuki Koyama, Toby C. Cornish, Kenneth R. Hande, Ronald Walker, Martin Sandler, Jordan Berlin, Eric H. Liu
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A critical evaluation of microRNA biomarkers in non-neoplastic disease
BACKGROUND: MicroRNAs (miRNAs) are small ( approximately 22-nt), stable RNAs that critically modulate post-transcriptional gene …
Baqer A. Haider, Alexander S. Baras, Matthew N. McCall, Joshua A. Hertel, Toby C. Cornish, Marc K. Halushka
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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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Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas
OBJECTIVES: To examine the accuracy of software-assisted measurement of the Ki-67 proliferation index (PI) and its correlation with the …
Mark A. Samols, Nathan E. Smith, Jonathan M. Gerber, Milena Vuica-Ross, Christopher D. Gocke, Kathleen H. Burns, Michael J. Borowitz, Toby C. Cornish, Amy S. Duffield
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