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Ryan Zeh

Researcher at Hospital of the University of Pennsylvania

Publications -  12
Citations -  449

Ryan Zeh is an academic researcher from Hospital of the University of Pennsylvania. The author has contributed to research in topics: Indocyanine green & Cancer. The author has an hindex of 8, co-authored 10 publications receiving 338 citations. Previous affiliations of Ryan Zeh include University of Pennsylvania.

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Intraoperative Near-Infrared Optical Imaging Can Localize Gadolinium-Enhancing Gliomas During Surgery.

TL;DR: With the use of Second Window ICG, gadolinium-enhancing tumors can be localized through brain parenchyma intraoperatively and its utility for margin detection is promising but limited by lower specificity.
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The second window ICG technique demonstrates a broad plateau period for near infrared fluorescence tumor contrast in glioblastoma

TL;DR: The Second Window ICG technique allows neurosurgeons to deliver NIR optical contrast agent to human glioblastoma patients, thus providing real-time tumor identification in the operating room and suggests that optimal imaging of the “Second Window of ICG” may be within this plateau period, thereby providing signal uniformity across subjects.
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Near-infrared fluorescent image-guided surgery for intracranial meningioma.

TL;DR: Systemic injection of NIR second-window ICG the day before surgery can be used to visualize meningiomas intraoperatively via preoperative systemic injection of a near-infrared (NIR) fluorescent contrast dye.
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Near-Infrared Intraoperative Molecular Imaging Can Locate Metastases to the Lung

TL;DR: Systemic ICG identifies subcentimeter tumor metastases to the lung in murine models and in humans, and this work provides proof of principle in humans.
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Folate receptor overexpression can be visualized in real time during pituitary adenoma endoscopic transsphenoidal surgery with near-infrared imaging

TL;DR: This work suggests that for adenomas with high FRα expression, it may be possible to identify margins and to predict postoperative MRI findings with perfect concordance, and intraoperative NIR imaging demonstrated perfect classification of the tumor margins with 100% sensitivity and 100% specificity.