Computer Software and Copyright

The following Computer Software and Copyrighted Materials are currently available for licensing from OTAM: 

• Novel, Non-invasive Method of Detecting Cardiac Injury Following Chemo- or Radiation Therapy
• Demon Voltammetry and Analysis Software
• SPINECAD-Software Algorithms for Three-Dimensional Characterization and Clinical Classification of Spinal   Deformity 

Novel, Non-invasive Method of Detecting Cardiac Injury Following Chemo- or Radiation Therapy 

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INVENTORS: Dr. Greg Hundley, Dr. Craig Hamilton, Dr. Frank Torti, Timothy Morgan and Kimberley Lane

This non-invasive detection method utilizes conventional, implemented MRI techniques to detect cardiac injury and/or determine the risk of developing cardiac injury in patients who are undergoing chemotherapy or radiation therapy. The technology displays greatly enhanced sensitivity and is able to detect diffuse and small amounts of cardiac injury that existing methods cannot detect.
By utilizing this technology as an integral part of a patient’s cancer treatment regime, the doctor can prescribe a patient-specific chemotherapeutic or radiation treatment with minimal cardiotoxicity and can intervene and adjust any given chemotherapeutic or radiation treatment to limit cardiotoxicity.

Highlights

• The technology is being tested in a clinical setting (>100 patients).
• The technology offers a three-dimensional, comprehensive visualization of the heart with much greater detail and resolution than existing technologies.
• The technology has both low implementation costs and low running costs for the end user. 
• Several patents have issued, preventing others from practicing the technology.

Commercial Applications

• Screening and detection tool that is part of standard cancer treatment programs 
• Possibility of a nation-wide implementation

Additional Information 

Circ Cardiovasc Imaging, 2010; 3; 550-558 

Licensing Contact Information

Camilla P. Hansen, PhD
Licensing Analyst
Email: chansen@wakehealth.edu
Phone: (336) 716-3729

Demon Voltammetry and Analysis Software  

Free Academic and Non-Profit License Available

 INVENTORS: Jordan T. Yorgason, Rodrigo A. España & Sara R. Jones

Researchers at Wake Forest School of Medicine have developed software for performing fast scan cyclic voltammetry recordings in brain tissue for detection of neurotransmitters.  This Demon Voltammetry and Analysis Software is written in the graphical programming language, LabView (National Instruments, Austin TX) and provides a command voltage to a potentiostat or existing freely moving equipment, while performing simultaneous recordings of resultant current waveforms. Additionally, this software can be used to pass single and multiple pulse trains of various frequencies and voltages for triggering electrically isolated stimulators, and for communicating with external, digitally driven devices. Digital event information from external sources, such as behavioral equipment, can also be recorded. Demon Voltammetry and Analysis software also contains several methods for performing multiple automated data collections, including a routine builder for collections with different durations, intervals, and stimulation conditions. The analysis portion of this software provides options for viewing/exporting acquired data, applying noise filters, performing chemometric and waveform kinetic analysis (including tau, T20, T80, FWHH, peak height, and AUC), as well as for figure creation without export into third-party software.

Commercial Applications
Detection of subsecond neurotransmitter signaling for in vitro, in vivo, and freely moving animal preparations.   

SPINECAD-Software Algorithms for Three-Dimensional Characterization and Clinical Classification of Spinal Deformity

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The technology is a computer-aided system for three-dimensional characterization and classification of spinal deformity due to scoliosis. The SPINECAD software application enables three-dimensional reconstruction of the spinal geometry from two-dimensional radiographs, automated classification of the spinal geometry according to the Lenke scheme, and statistical assessment of the sensitivity of reliability and reproducibility. As a tool for preoperative evaluation of treatment outcome, for example, integrated with a database of shared pre- and postoperative spinal geometries, SPINECAD can reduce the incidence of adverse outcomes, resulting in improved quality of life for the affected individuals. The current clinical paradigm for quantifying the degree and nature of a spinal deformity caused by scoliosis, assessing the need for external bracing or surgical correction, and designing the surgical corrective instrumentation is poorly resolved and highly personnel intensive. In clinical practice, diagnosis of deformity is largely done through coarse-grained, single-plane angular measurements from visual inspection of two-dimensional radiographs without the ability to assess the full three-dimensional nature of the deformity, involving local curvature, local torsion, and vertebral rotation. More sophisticated tools, such as CT and MRI scans, may be used to provide three-dimensional information; however, these are not routinely employed due to their association with increased exposure to radiation and high cost. SPINECAD sidesteps these problems by using conventional x-ray images as a basis for computation that fits into conventional clinical classifications.

Commercial Applications

Patients undergoing surgical spinal implementation for scoliosis deformity

Status

Patent Pending