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FMTVDM – FHRWW & BEST ©℗ The First True “Quantitative” Nuclear Imaging Protocols with Proprietary Equations following The Fleming Method (TFM) for Nuclear Scintillation Equipment Quantitative Standardization Volume 4 - Issue 5

Richard M Fleming*1, Matthew R Fleming2, William C Dooley3, Arif Sheikh4, Andrew McKusick5 and Tapan Chaudhuri6

  • 1FHHI-OmnificImaging-Camelot, USA
  • 2FHHI-OmnificImaging-Camelot, USA
  • 3Oklahoma University School of Medicine, USA
  • 4Temple University Health System, USA
  • 5FHHI-OmnificImaging-Camelot, USA
  • 6Eastern Virginia School of Medicine, Norfolk, USA

Received: May 16, 2018;   Published: May 25, 2018

*Corresponding author: Richard M Fleming, 707 E. Grand Avenue, #8 El Segundo, CA 90245, USA

DOI: 10.26717/BJSTR.2018.04.001116

Abstract PDF

Keywords: FMTVDM, FHRWW, The B.E.S.T. Protocol, Enhanced MPI, True Quantified MPI, True Quantified Nuclear Cardiac MPI, True Quantified Nuclear Medicine, Sestamibi Redistribution, Myoview Redistribution, The Fleming Method (TFM) for Quantitative Standardization

Case study 1

The Fleming Method for Tissue and Vascular Differentiation and Metabolism (FMTVDM©℗) using same state single or sequential quantification comparisons [1-15] “True Quantification” of Cardiac Disease using Myocardial Perfusion Imaging following Single Injection of Tc99m Isotope (Sestamibi) and “True Quantification” Measurement of Isotope Redistribution.

Myocardial Perfusion Imaging

Enhancement & “True Quantification” using FMTVDM-FHRWW ©℗: A 44-year old African American male presented to the Emergency Room with retrosternal chest discomfort after working in his garage. He had no prior history of heart disease and was being treated only for hypertension with a loop diuretic. His blood pressure left arm sitting was 142/90 mmHg and 146/88 mmHg in his right arm sitting with a regular heart rate of 78 bpm. No other cardiovascular risk factors were identified. His cardiac exam was remarkable for an S4. His lungs were clear to auscultation and percussion with peripheral pulses of 2/2 in both upper and lower extremities. His Myocardial Perfusion Image (MPI) study included pharmacologic stress and Sestamibi, using FMTVDM©℗ to de termine 5-minute and 60-minute redistribution measurements. Following image acquisition the nuclear technologist generated the regions-of-interest (ROIs) as shown in Figure 1, using FMTVDM- FHRWW (Cardiac protocol) ©℗ [16-20].

a) What clinical conclusion can be drawn from the FMTVDM- FHRWW©℗ MPI study?

Answer: Measurement of myocardial ischemia using “True Quantification” of isotope redistribution using planar, SPECT or PET imaging “wash-in” and “washout” assessment is only possible using FMTVDM-FHRWW(Cardiac) ©℗, which can differentiate between vulnerable inflammatory plaques (VIPs) and coronary lumen narrowing. Figure 1 revealed ischemia in all three epicardial arteries.

b) Teaching Point

Standard MPI provides a qualitative comparison between two sets of images, which are time sensitive in their ability to find coronary artery disease. The qualitative appearance of the patient’s images reveals no perfusion abnormalities in either the 5-minute acquisition (left panels) or the 60-minute acquisition (right panels) images. This qualitative visual appearance is misleading and incorrect. Technetium-99m compounds redistribution including Sestamibi, Myoview and Teboroxime can all be accurately measured by “True Quantification” of the 5 and 60-minute images acquired using planar and SPECT. Similar application of FMTVDM©℗ can be applied to PET camera acquisition using applicable isotopes. Using these acquired images, “actual (TRUE v Virtual) quantification” of isotope redistribution using FMTVDM©℗ can be made and a calculation of “wash-in”, “washout” or “normal” isotope redistribution can be determined. From this “quantification” the type and severity of coronary artery disease (CAD) can be made for each coronary artery vascular territory, enhancing both diagnosis and treatment management. FMTVDM©℗ can be used with hand-held probes, planar, SPECT or PET imaging depending upon the isotope employed [21].

Figure 1: FMTVDM-FHRWW (Cardiac protocol)©℗. Application of TRUE QUANTIFICATION following isotope redistribution. Image displays in horizontal (top) and vertical (bottom) long axis views show TRUE QUANTIFICATION using measurement of Sestamibi redistribution using FMTVDM©℗. While each reconstructed image revealed “qualitatively” normal appearing MPI, the TRUE QUANTIFICATION measurement showed lower Sestamibi counts in each myocardial region at 5-minutes (left panels) compared with the 60-minute acquisitions demonstrating “wash-in” seen with vulnerable inflammatory plaques and critically narrowed arteries. This TRUE (not virtual) QUANTIFICATION demonstrated triple vessel coronary artery disease in this individual.

Case Study 2

FMTVDM©℗ “True Quantification” of Breast Cancer. “The B.E.S.T. Protocol for Early Breast Cancer Detection and Treatment Response”3-5, 16-25.

Molecular Breast Imaging

Enhancement & Quantification using FMTVDM-BEST©℗: A 38-year old woman with dense breasts and normal mammogram was referred for TRUE QUANTIFICATION Molecular Breast Imaging (MBI) using FMTVDM-BEST©℗ Protocol for enhancement and measurement of possible breast cancer. This mother of twins had previously had two normal mammograms. Following this third “normal” mammogram and bloody left nipple discharge she was referred for FMTVDM-BEST©℗. Following FMTVDM-BEST©℗ employing pharmacologic enhancement following regional shifts in delivery and uptake of isotope based upon differences in regional blood flow and metabolism, nuclear image acquisition was obtained and TRUE QUANTIFICATION Molecular Breast Imaging (MBI) measurements were made as shown in Figure 2.

Figure 2: FMTVDM-B.E.S.T. (Breast Cancer protocol)©℗ Protocol. Application of TRUE QUANTIFICATION following isotope Enhancement. Mammography (left) interpretation reported fibrocystic disease. Following FMTVDM-The B.E.S.T. ©℗ Protocol, TRUE QUANTIFICATION following isotope Enhancement, revealed normal breast tissue in the majority of the breast with maximum count activity (MCA) values of 110. Region 2 revealed a MCA of 373 revealing breast cancer. Surgical biopsy confirmed.

a) What clinical conclusion can be drawn from this FMTVDM- BEST©℗ Protocol?

Answer: “TRUE QUANTIFICATION” of nuclear images can only be obtained allowing for tissue and vascular differentiation, using FMTVDM©℗. This can be accomplished using any pharmacologic or physiologic enhancement method, any isotope and any nuclear imaging device, including hand-held probes, planar, SPECT and PET depending upon the isotope being used. In this instance the study was performed using a planar camera and Sestamibi following dipyridamole enhancement to analyze breast tissue (FMTVDM- BEST©℗) [22-24].

b) Teaching point

Prior nuclear medicine methods have employed “qualitative” image analysis and have not Enhanced the physiologic properties of regional blood flow and metabolism differences to distinguish between tissue type using “TRUE QUANTIFICATION” FMTVDM- BEST©℗. Using FMTVDM-BEST©℗, machine learning (aka Artificial Intelligence) and patient derived “TRUE QUANTIFICATION” can differentiate breast cancer from pre-cancerous tissue from inflammatory changes, normal breast tissue and calcium deposits. “TRUE QUANTIFICATION” FMTVDM-BEST©℗ can also be used to direct patient treatment, using pre and post treatment “Quantification” to assess treatment response, saving time, money and lives [25].


  1. Fleming RM (2001) Coronary Artery Disease is More than Just Coronary Lumen Disease. Amer J Card 88: 599-600.
  2. Fleming RM (2003) Angina and coronary Ischemia are the result of coronary regional Blood Flow Differences. J Amer Coll Angiol 1: 127-142.
  3. (2011) Establishing Better Standards of Care in Doppler Echocardiography, Computed Tomography and Nuclear Cardiology. In Richard M Fleming (Eds.). Intech Publishing.
  4. Fleming RM, Harrington GM, Baqir R (2009) Heart Disease in Men, Using Multiple Images Post-Stress to Enhance diagnostic Accuracy of Myocardial Perfusion Imaging: The Clinical Importance of Determining Washin and Washout Indicates a Parabolic Function between Coronary Perfusion (Blood Flow) and Cellular (“Uptake/Release”) Function. In Alice B Todd, Margo H Mosley (Eds.) Nova Publishers pp. 75-100.
  5. Fleming RM, Harrington GM (2011) Fleming Harrington Redistribution Wash-in Washout (FHRWW): The Platinum Standard for Nuclear Cardiology. Establishing Better Standards of Care in Doppler Echocardiography, Computed Tomography and Nuclear Cardiology. In Richard M Fleming (Eds.). Intech Publishing.
  6. Fleming RM, Harrington GM, Baqir R, Jay S, Sridevi Challapalli, et al. (2009) The Evolution of Nuclear Cardiology takes Us Back to the Beginning to Develop Today’s “New Standard of Care” for Cardiac Imaging: How Quantifying Regional Radioactive Counts at 5 and 60 Minutes Post-Stress Unmasks Hidden Ischemia. Methodist DeBakey Cardiovascular Journal (MDCVJ) 5(3): 42-48.
  7. Fleming RM, Harrington GM (2010) FHRWW stress SPECT protocol reduces radioactive dosage and increases ischemia detection. ANZ Nuclear Medicine 41(4): 224-232.
  8. Fleming RM, Harrington GM, Baqir R, Jay S, Challapalli S, et al. (2011) Renewed Application of an Old Method Improves Detection of Coronary Ischemia. A Higher Standard of Care. Review Article. ANZSNM Gamma Gazette 1: 50-58.
  9. Fleming RM, Harrington GM, Jay S, Avery K (2011) FHRWW Rest SPECT Viability Imaging Cardiac viability measured using resting FHRWW Redistribution of Sestamibi: The Scientific Evidence proves Sestamibi is not Superglue, USA.
  10. Fleming RM, Harrington GM (2011) Quantitative measurement of sestamibi distribution to detect hidden ischemia made possible by application of Blumgart’s method. J Nucl Med 52(suppl I): 1162.
  11. Fleming RM, Harrington GM, Kearney DS, Tomsho M, Sheils J (2012) Myoview and Sestamibi redistribution, stress once – image twice protocol improves detection of ischemia in addition to improving patient throughput and reducing patient radiation to 3.75 mSv. J Nucl Med 53: 1831.
  12. Fleming RM, Harrington GM, Baqir R, Jay S, Challapalli S, et al. (2010) Renewed Application of an Old Method Improves Detection of Coronary Ischemia. A Higher Standard of Care. Federal Practitioner 27: 22-31.
  13. Fleming RM, Fleming MR, Chaudhuri T, McKusick, A, Dooley WC, et al. (2018) Both percent diameter stenosis (%DS) and coronary flow reserve can be derived directly from myocardial perfusion imaging using FMTVDM and measurement of isotope redistribution. J Nucl Med Radiat Ther 9(1): 1000353.
  14. Fleming RM, Fleming MR, McKusick A, Chaudhuri T (2018) The Fleming Method for Tissue and Vascular Differentiation and Metabolism (FMTVDM) using same state single or sequential quantification comparisons©℗. An EVOLUNTIONARY Quantum Leap Forward for Nuclear Cardiology & Nuclear Medicine JVasc Dz & Treat.
  15. Fleming RM (2002) Breast enhanced scintigraphy test demonstrates improvement in breast inflammation in women consuming soy protein. American Society for Nutritional Sciences. J Nutr 132: 575S.
  16. Fleming RM (2002) Mitochondrial Uptake of Sestamibi Distinguishes Between Normal, Inflammatory Breast Changes, Pre-cancers and Infiltrating Breast Cancer. Integrative Cancer Therapies 1(3): 229-237.
  17. Fleming RM, Dooley WC (2002) Breast Enhanced Scintigraphy Testing (B.E.S.T.) Distinguishes Between Normal, Inflammatory Breast Changes and Breast Cancer. A Prospective Analysis and Comparison with Mammography. Integrative Cancer Therapies 1(3): 238-245.
  18. Fleming RM (2003) What effect, if any, does soy protein have on breast tissue? Integrative Cancer Therapies 2: 225-228.
  19. Fleming RM (2003) Are there differences in breast tissue as a result of hormone replacement therapy? Can BEST imaging distinguish these differences? Integrative Cancer Therapies 2: 229-234.
  20. Fleming RM (2003) Do women taking hormone replacement therapy (HRT) have a higher incidence of breast cancer than women who do not? Integrative Cancer Therapies 2: 235-237.
  21. Fleming RM (2004) Breast Enhanced Scintigraphy Test demonstrates improvement in breast disease after daily consumption of soy protein. J Nutr.
  22. Fleming RM, Dooley WC, Chaudhuri TK (2017) Breast cancer genes, breast cancer and FMTVDM-BEST©℗ imaging. Integr Mol Med 4(6): 1-2.
  23. Fleming RM, Dooley WC, Chaudhuri TK (2017) The Development of FMTVDM-BEST IMAGING©℗: The Answer for Breast Cancer. Breast Enhanced Scintigraphy Test (BEST©℗): Quantifying the Detection of Breast Cancer and its Treatment. J Nucl Med Radiat Ther 8: 350.
  24. Fleming RM, Fleming MR, Dooley WC, McKusick A (2018) FMTVDMBEST ©℗ Breast Cancer Imaging eliminates the fear of having BRCA1 and BRCA2 Breast Cancer Genes. J Clin Mol Med 1(2): 1-2.