Abstract

Prior to FMTVDM/BEST Imaging, diagnostic testing was limited to looking for breast cancer either using 'qualitative' imaging defining disease as either present or absent, or semiquantitative methods which is also limited to the same yes you have breast cancer or no you don’t interpretation. These imaging methods include mammography, ultrasound, CT, MRI, as well as other SPECT/Planar and PET imaging approaches and as such are associated with sensitivity and specificity problems. These tests are further limited when imaging dense breast tissue or when breast implants exist either for augmentation, following mastectomy or when looking for breast cancer in men.

Highlights

  • FMTVDM/BEST Imaging©℗, Breast Cancer, Breast Inflammation, Quantification, AI, Nuclear Camera Quantitative Calibration, Patent protected, Male Breast Cancer

  • Because FMTVDM/BEST measures the regional blood flow differences (RBFDs) and metabolism of tissue and does not require tissue to compress for imaging and measurement, FMTVDM/BEST can be used to evaluate breast cancer in men as well as women

  • There was no family history and he was referred by his primary care physician for FMTVDM/BEST imaging, which was performed via protocol [11,12]

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Summary

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FMTVDM/BEST Imaging©℗, Breast Cancer, Breast Inflammation, Quantification, AI, Nuclear Camera Quantitative Calibration, Patent protected, Male Breast Cancer. Prior to FMTVDM/BEST Imaging, diagnostic testing was limited to looking for breast cancer either using “qualitative” imaging defining disease as either present or absent, or semiquantitative methods [1-10] which is limited to the same yes you have breast cancer or no you don’t interpretation These imaging methods include mammography, ultrasound, CT, MRI, as well as other SPECT/Planar and PET imaging approaches and as such are associated with sensitivity and specificity problems. Measuring changes in breast tissue as it changes from normal to cancer

Normalization Quantitative Measurement
Findings
Discussion
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