Semiquantification Limitations: FMTVDM^©℗ Demonstrates Quantified Tumor Response to Treatment with Both Regional Blood Flow and Metabolic Changes

Abstract

Functional integration changes in regional brain glucose metabolism from childhood to adulthood. Hum Brain Mapp. 2016;37:3017-3030. 4. Di X, Biswal B. Metabolic brain covariant networks as revealed by FDG-PET with reference to resting-state fMRI networks. Brain Connect. 2012;2:275-283. 5. Horwitz B, Duara R, Rapoport SI. Intercorrelations of glucosemetabolic rates between brain regions: application to healthy males in a state of reduced sensory input.

Unmasking Hidden Recurrent Cancers using FMTVDM/BEST: The Fleming Cancer Hypothesis

“…Prior to FMTVDM/BEST Imaging, diagnostic testing was limited to looking for breast cancer either using "qualitative" imaging defining disease as being present or absent, or semiquantitative methods [1][2][3][4][5][6][7][8][9][10] which are 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.…”

Letter to the Editor: A response to Hruska’s case study on molecular breast imaging and the need for true tissue quantification

“…This approach, like the utilization of standardized uptake value (SUV), compares differences in background with tissue [3]. As we have already discussed [2, 4, 5] in the literature, this approach is an incorrect model, due to (1) the critical lack of standardization and calibration of nuclear cameras including both SPECT/Planar and PET; (2) the utilization of ratios which are not absolute values and therefore cannot be used to differentiate tissue based upon those issues, issues which are critical to the understanding of tissue differences; and (3) the inability to truly “measure” transitional changes in tissue, which would allow for the determination of actual treatment response on a per patient basis, saving time, money, and lives.…”

FMTVDM/BEST©℗ Imaging for Women with Breast Implants and Dense Breasts

“…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][2][3][4][5][6][7][8][9][10] 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 with associated sensitivity and specificity problems.…”