The overall aim of this project is to continue development of PET cameras whose geometry is optimized for detecting breast cancer or axillary node involvement. These post-x-ray mammography tools would determine whether suspicious structures observed in mammograms have the increased metabolism associated with breast cancers, and can image the axilla to determine the extent of axillary node involvement. The instrumentation proposed has the potential to provide a cost effective, non-invasive alternative to biopsy as well as accurate information on axillary node involvement with significantly higher sensitivity than existing imaging techniques. The proposed technique relies on the fact that FDG is an excellent tracer for breast cancer with >90% specificity and selectivity, as measured with conventional PET imaging. The proposed instruments consist of PET detector modules placed in close proximity to the breast (similar to a mammography unit) or the axilla (similar to a small diameter PET ring). These geometries improve the sensitivity and the spatial resolution significantly compared to a conventional PET camera (the sensitivity increase is a factor of 4-30 for the breast and a factor of 1-10 for the axilla), and so allow rapid identification of cancerous lesions and axillary involvement for structures down to 5 mm in size with a small (<1 mCi) injected dose of FDG. The first funding period of this project on development of the base technology for a high performance PET detector module consisting of a large number of small LSO scintillator crystals, each coupled on one end to a photomultiplier tube (which provides a timing pulse and energy discrimination) and on the other end to an individual silicon photodiode (which identifies the crystal of interaction and measures the depth of interaction within the crystal). The present project focuses on construction of two PET cameras, development of reconstruction algorithms for these unique camera geometries, characterization of the imaging properties with phantoms, and preliminary evaluation of the imaging properties in patients. The small detector volume reduces the camera cost by a factor of ten compared to a conventional PET camera. When combined with the lower amount of radio-pharmaceutical needed, this development could reduce the cost of a patient examination significantly. These cameras are designed specifically for breast cancer, but the detector module developed could also be incorporated into high resolution PET cameras with conventional geometries. These designs, when complete, will be offered to private industry to incorporate into a clinical instrument.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
2R01CA067911-04
Application #
2688595
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Menkens, Anne E
Project Start
1995-09-30
Project End
2001-07-31
Budget Start
1998-08-01
Budget End
1999-07-31
Support Year
4
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Lawrence Berkeley National Laboratory
Department
Biology
Type
Organized Research Units
DUNS #
078576738
City
Berkeley
State
CA
Country
United States
Zip Code
94720
Qi, Jinyi; Huesman, Ronald H (2004) Propagation of errors from the sensitivity image in list mode reconstruction. IEEE Trans Med Imaging 23:1094-9
Huber, J S; Moses, W W; Jones, W F et al. (2002) Effect of 176Lu background on singles transmission for LSO-based PET cameras. Phys Med Biol 47:3535-41
Huesman, R H; Klein, G J; Moses, W W et al. (2000) List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling. IEEE Trans Med Imaging 19:532-7