Johns Hopkins University

Susan C Harvey

Nicholas James Durr

William C Walton

Benjamin M W Tsui

David W Porter

Yixin Hu

Tara Blair

Pascal Acree

Grace Kuroki

Evelyn McChesney

Serena M Thomas

Bailey Surtees

Keith S Peyton

Sean Young

An embodiment in accordance with the present invention provides a handheld cryoprobe for use in percutaneous cryotherapy of tumorous masses. It includes a probe attached to a COgas dispensing backend. The probe has specifically optimized parameters designed for use with COgas and is made out of a partially hollowed and threaded aluminum rod providing maximum heat exchange. The system backend regulates flow of compressed COgas while throttling and cooling the gas coolant to the cytotoxically low temperatures necessary for targeted tumor cell death. Additionally, the incoming initial stream of COgas is throttled by the Joule-Thomson nozzle on the backend. The low temperature exhaust gas is then used to pre-cool all subsequent incoming gas, resulting in an even lower temperature at the probe tip, which provides a positive feedback loop, continually decreasing the gas's temperature. The temperature drop is caused by the Joule-Thomson effect.

Carbon dioxide-based percutaneous cryosurgical system

A method for characterizing and locating abnormal tissue in an area of interest in a body is provided. The method may include receiving first and second modality examination data including a plurality of first and second modality examination data segments of the area of interest and determining, by evaluating each first and second modality examination data segment, a set of modality detection candidates based on the first and second modality examination data and a first and second modality feature likelihood model. The method may also include generating a modal or multi-modal correspondence anatomic model of the area of interest by registering the plurality of first and second modality examination data segments, determining one or more modal abnormal tissue detections by fusing the set of modality detection candidates using the modal or multimodal correspondence anatomic model, and providing a modal diagnosis confidence score and a modal anatomic location based on the one or more modal abnormal tissue detections.

Abnormal tissue detection via modal upstream data fusion

Growing community of inventors

Reisterstown, MD, United States of America

Susan C Harvey