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Jason M. Warram

Researcher at University of Alabama at Birmingham

Publications -  87
Citations -  3215

Jason M. Warram is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Cancer & Head and neck cancer. The author has an hindex of 27, co-authored 82 publications receiving 2515 citations. Previous affiliations of Jason M. Warram include Stanford University & University of Alabama.

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Safety and tumor specificity of cetuximab-IRDye800 for surgical navigation in head and neck cancer

TL;DR: It is demonstrated for the first time that commercially available antibodies can be fluorescently labeled and safely administered to humans to identify cancer with sub-millimeter resolution, which has the potential to improve outcomes in clinical oncology.
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Beyond the margins: real-time detection of cancer using targeted fluorophores.

TL;DR: This Review highlights the latest developments in NIR fluorophores, cancer-targeting strategies, and detection instrumentation for intraoperative cancer detection, and considers the unique challenges associated with their effective application in clinical settings.
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Determination of Tumor Margins with Surgical Specimen Mapping Using Near-Infrared Fluorescence

TL;DR: It is demonstrated that fluorescence can be used as a sensitive and specific method of guiding surgeries for head and neck cancers and potentially other cancers with challenging imaging conditions, increasing the probability of complete resections and improving oncologic outcomes.
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Successful Translation of Fluorescence Navigation During Oncologic Surgery: A Consensus Report

TL;DR: The objective was to critically evaluate the imaging platform technology and optical imaging agents and to make recommendations for successful clinical trial development of this highly promising approach in oncologic surgery.
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The Status of Contemporary Image-Guided Modalities in Oncologic Surgery

TL;DR: There has been an explosion of intraoperative imaging techniques that will become more widespread in the next decade that demonstrate significant promise to improve real-time detection of subclinical cancer in the operative setting.