Daniel Orringer

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Associate Professor

NYU Langone Health

United States

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About

Daniel Orringer is an Associate Professor at NYU Langone Health in the United States. His research focuses on advanced imaging techniques and artificial intelligence applications in neurosurgery, particularly in the diagnosis and treatment of gliomas and prostate cancer. Recent publications include systematic reviews on glioma imaging, ultra-rapid PCR methods for tumor quantification, and innovations using stimulated Raman histology.

Recent Grants

Grant: Close

Clinical Translation of Stimulated Raman Histology

Open Date: 2018-08-01

Close Date: 2022-07-31

Grant: Close

Real-time histopathology for intra-operative tumor margin delineation

Open Date: 2016-05-01

Close Date: 2018-04-30

Grant: Close

In vivo Handheld Coherent Raman Scattering (CRS) Microscopy for Glioma Imaging

Open Date: 2014-09-15

Close Date: 2019-05-31

Grant: Close

Nanoparticle-Enabled Brain Tumor Surgery

Open Date: 2007-07-01

Close Date: 2009-06-30

Articles (30)

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2023

Collaborators (17)

Hamed Akbari

Assisshtant Professor

Santa Clara University

UNITED STATES

Daniel Orringer

Research Interests

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About

Recent Grants

Articles (30)

Congress of neurological surgeons systematic review and evidence-based guidelines for the role of imaging in newly diagnosed WHO grade II diffuse glioma in adults: update

Ultra-rapid droplet digital PCR enables intraoperative tumor quantification

Fast intraoperative detection of primary central nervous system lymphoma and differentiation from common central nervous system tumors using stimulated Raman histology and deep learning

Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins

MP13-19 ARTIFICIAL INTELLIGENCE ANALYSIS OF PROSTATE BIOPSY STIMULATED RAMAN HISTOLOGY EVALUATES PERI-TUMORAL TISSUE TO PREDICT EXTRAPROSTATIC EXTENSION OF PROSTATE CANCER

PD30-03 A UNIFIED ARTIFICIAL INTELLIGENCE CONVOLUTIONAL NEURAL NETWORK FOR THE NEAR REAL-TIME INTERPRETATION OF PROSTATE BIOPSIES AND PROSTATECTOMY SURGICAL MARGINS

DNA methylation profiling of pituitary neuroendocrine tumors identifies distinct clinical and pathological subtypes based on epigenetic differentiation.

1048 Molecular Diagnosis and Quantification of Tumor Cell Infiltration During Glioma Surgery Through Ultra-Rapid Droplet Digital PCR

180 Optimal Neurosurgical Surgical Site Preparation: A Prospective Single-Center Study

Congress of Neurological Surgeons systematic review and evidence based guideline on neuropathology for WHO grade II diffuse glioma: update

Racial distribution of molecularly classified brain tumors

Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy

What Are We Transfusing? Evaluating the Quality and Clinical Utility of Intraoperatively Salvaged Red Blood Cells in Spinal Deformity Surgery: A Nonrandomized Controlled Trial.

T2-FLAIR mismatch sign predicts DNA methylation subclass and CDKN2A/B status in IDH-mutant astrocytomas.

Prognostic value of DNA methylation subclassification, aneuploidy, and CDKN2A/B homozygous deletion in predicting clinical outcome of IDH mutant astrocytomas

506 Deep Learning-Based Image-to-Image Translation to Identify Macrophage Infiltration in High-Grade Glioma Using Label-Free Stimulated Raman Histology

Stimulated Raman Histology Interpretation by Artificial Intelligence Provides Near-Real-Time Pathologic Feedback for Unprocessed Prostate Biopsies

Impact of Rare and Multiple Concurrent Gene Fusions on Diagnostic DNA Methylation Classifier in Brain Tumors

Intraoperative margin assessment with near real time pathology during partial gland ablation of prostate cancer: A feasibility study

Combined cytotoxic and immune-stimulatory gene therapy for primary adult high-grade glioma: a phase 1, first-in-human trial

Metabolomic profiles of human glioma inform patient survival.

Clinical Validation of Stimulated Raman Histology for Rapid Intraoperative Diagnosis of CNS Tumors

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Long-Term Follow-up of Multinodular and Vacuolating Neuronal Tumors and Implications for Surveillance Imaging

Stimulated Raman histology, a novel method to allow for rapid pathologic examination of unprocessed, fresh prostate biopsies

Stimulated Raman histology as a method to determine the adequacy of renal mass biopsy and identify malignant subtypes of renal cell carcinoma

Hierarchical discriminative learning improves visual representations of biomedical microscopy.

MP61-18 STIMULATED RAMAN HISTOLOGY, A NOVEL METHOD FOR INTRAOPERATIVE SURGICAL MARGIN ASSESSMENTS DURING ROBOTIC ASSISTED LAPAROSCOPIC PROSTATECTOMY

PD38-07 STIMULATED RAMAN HISTOLOGY INTERPRETATION BY ARTIFICIAL INTELLIGENCE CAN PROVIDE REAL-TIME PATHOLOGIC FEEDBACK OF PROSTATE BIOPSIES

A spectroscopic liquid biopsy for the earlier detection of multiple cancer types

Collaborators (17)

Hamed Akbari

Sandra Camelopiragua

Paul Brennan

Mustafa Nasir-Moin

Andrew Smith

Kimberley Louise Alexander

Tom Curran

Eric Suero Molina

David Kurland

Evan Calabrese

Rajan Jain

Miles Mannas

Erik Sulman

Suyash Mohan

Todd Hollon

Spyridon Bakas

Dimitris Placantonakis

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