Radiographic Marker for Portable Chest and Abdominal X-Rays

The NIH Clinical Center seeks parties interested to license a method and apparatus that can significantly improve the diagnostic performance of portable chest (CXR) and abdominal x-rays.  This device (see image below) quantifies angulation of a patient to provide for a better comparison of day-to-day improvement. Potential applications include portable chest and abdominal x-rays performed at patient's hospital bedside.

Development Status:

Optical Microscope Software for Breast Cancer Diagnosis

The successful treatment of cancer is correlated with the early detection of the cancerous cells. Conventional cancer diagnosis is largely based on qualitative morphological criteria, but more accurate quantitative tests could greatly increase early detection of malignant cells. It has been observed that the spatial arrangement of DNA in the nucleus is altered in cancer cells in comparison to normal cells. Therefore, it is possible to distinguish malignant cells by mapping the position of labeled marker genes in the nucleus.

Zirconium-89 PET Imaging Agent for Cancer

Researchers at the NCI Radiation Oncology Branch  and NIH CIT Center for Molecular Modeling developed a tetrahydroxamate chelation technology that provides a more-stable Zr-89 complex as an immuno-PET cancer imaging agent. In either the linear or the macrocyclic form, the tetrahydroxamate complexes exhibit greater stability as chelating agents compared to Zr-89 complexed to the siderophore desferrioxamine B (DFB), a trihydroxamate, which represent

Mouse Model for the Preclinical Study of Metastatic Disease

The successful development of new cancer therapeutics requires reliable preclinical data that are obtained from mouse models for cancer. Human tumor xenografts, which require transplantation of human tumor cells into an immune compromised mouse, represent the current standard mouse model for cancer. Since the immune system plays an important role in tumor growth, progression and metastasis, the current standard mouse model is not ideal for accurate prediction of therapeutic effectiveness in patients.

3D Image Rendering Software for Biological Tissues

Available for commercial development is software that provides automatic visualization of features inside biological image volumes in 3D. The software provides a simple and interactive visualization for the exploration of biological datasets through dataset-specific transfer functions and direct volume rendering. The method employs a K-Means++ clustering algorithm to classify a two-dimensional histogram created from the input volume. The classification process utilizes spatial and data properties from the volume.

Lentiviral Vectors with Dual Fluorescence/Luminescence Reporters

The National Cancer Institute’s Protein Expression Laboratory seeks parties to co-develop dual luminescent/fluorescent cancer biomarkers.

In research settings, visualization of  tumors or tumor cells is often done using either bioluminescence or fluorescence.  However, both of these methods have shortcomings: bioluminescence is not sensitive enough to sort individual tumor cells, and fluorescence cannot be used effectively to view internal tumors and is best used with surface tumors.

Micro-Dose Calibrator for Pre-clinical Radiotracer Assays

Molecular imaging is a disease-specific targeting modality that promises much more accurate diagnoses of serious diseases such as cancer and infections. Agents are being continually developed with a view to clinical translation, with several such therapies requiring measurement of very small doses. Currently, there is no way of accurately measuring small amounts of radioactivity used in many pre-clinical tracer studies, as on-the-market commercial dose calibrators measure at too high a dose range, typically at 10-1000 µCi and higher.

Denoising of Dynamic Magnetic Resonance Spectroscopic Imaging Using Low Rank Approximations in the Kinetic Domain

Accurate measurement of low metabolite concentrations produced by medically important enzymes is commonly obscured by noise during magnetic resonance imaging (MRI). Measuring the turnover rate of low-level metabolites can directly quantify the activity of enzymes of interest, including possible drug targets in cancer and other diseases. Noise can cause the in vivo signal to fall below the limit of detection. A variety of denoising methods have been proposed to enhance spectroscopic peaks, but still fall short for the detection of low-intensity signals.