Breast cancer detection using neutron stimulated emission computed tomography: Prominent elements and dose requirements

Janelle E. Bender, Anuj J. Kapadia, Amy C. Sharma, Georgia D. Tourassi, Brian P. Harrawood, Carey E. Floyd

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Neutron stimulated emission computed tomography (NSECT) is being developed to noninvasively determine concentrations of trace elements in biological tissue. Studies have shown prominent differences in the trace element concentration of normal and malignant breast tissue. NSECT has the potential to detect these differences and diagnose malignancy with high accuracy with dose comparable to that of a single mammogram. In this study, NSECT imaging was simulated for normal and malignant human breast tissue samples to determine the significance of individual elements in determining malignancy. The normal and malignant models were designed with different elemental compositions, and each was scanned spectroscopically using a simulated 2.5 MeV neutron beam. The number of incident neutrons was varied from 0.5 million to 10 million neutrons. The resulting gamma spectra were evaluated through receiver operating characteristic (ROC) analysis to determine which trace elements were prominent enough to be considered markers for breast cancer detection. Four elemental isotopes (Cs133, Br81, Br79, and Rb87) at five energy levels were shown to be promising features for breast cancer detection with an area under the ROC curve (AZ) above 0.85. One of these elements- Rb87 at 1338 keV -achieved perfect classification at 10 million incident neutrons and could be detected with as low as 3 million incident neutrons. Patient dose was calculated for each gamma spectrum obtained and was found to range from between 0.05 and 0.112 mSv depending on the number of neutrons. This simulation demonstrates that NSECT has the potential to noninvasively detect breast cancer through five prominent trace element energy levels, at dose levels comparable to other breast cancer screening techniques.

Original languageEnglish
Pages (from-to)3866-3871
Number of pages6
JournalMedical Physics
Volume34
Issue number10
DOIs
StatePublished - 2007
Externally publishedYes

Funding

This work was supported by NIH∕NCI Grant 1-R21-CA106873-01 and in part by the Department of Defense (Breast Cancer Research Program) under award number W81XWH-06-1-0484 and by NIH Training Grant No. 1-T32-EB001040.

FundersFunder number
National Institutes of Health
U.S. Department of Defense1-T32-EB001040, W81XWH-06-1-0484
National Cancer Institute1-R21-CA106873-01
National Institute of Biomedical Imaging and BioengineeringT32EB001040

    Keywords

    • Breast cancer
    • Gamma-ray spectroscopy
    • Monte Carlo
    • Neutrons
    • Tomography

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