Scientific Journal of Women’s Health & Care

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McHugh, et al [1] again emphasize the problem with Qualitative imaging - the visual review of imaging by clinicians from which a rendering of disease is present or absent - fl awed with errors in finding disease (sensitivity) and correctly eliminating (specificity) disease.

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Mini Review Quantifi cation FMTVDM is Required to Correct the Fundamental Flaw of Qualitative Imaging - Richard M. Fleming 1 Matthew R. Fleming 1 Tapan K. Chaudhuri 2 and William C. Dooley 3 1 FHHI-Omnifi cImaging-Camelot Los Angeles CA USA 2 Eastern Virginia Medical School Norfolk VA USA 3 Oklahoma University Health Science Center Oklahoma City Oklahoma Address for Correspondence: Richard M. Fleming FHHI-Omnifi cImaging-Camelot Los Angeles CA USA Tel: +818-210-6930 ORCID ID: 0000-0001-9964-1518 E-mail: Submitted: 07 January 2020 Approved: 05 February 2020 Published: 10 February 2020 Citation this article: Fleming RM Fleming MR Chaudhuri TK Dooley WC. Quantifi cation FMTVDM is Required to Correct the Fundamental Flaw of Qualitative Imaging. Sci J Womens Health Care. 202041: 005-006. Copyright: © 2020 Fleming RM et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Scientifi c Journal of Women’s Health Care

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Scientifi c Journal of Women’s Health Care SCIRES Literature - Volume 4 Issue 1 - www.scireslit.com Page -006 INTRODUCTION McHugh et al 1 again emphasize the problem with Qualitative imaging - the visual review of imaging by clinicians from which a rendering of disease is present or absent - f awed with errors in f nding disease sensitivity and correctly eliminating specif city disease. Nuclear imaging has seen several changes over the decades as it has been utilized in medical diagnostics - including visual interpretation and in recent years semi-quantitative modeling 2 which is premised upon assumptions that limit the semi-quantitative outcomes as demonstrated by the continued consideration of sensitivity and specif city statistics. T e ability to quantitatively measure the extent of metabolic and Regional Blood Flow Dif erences RBFDs using nuclear imaging 34 makes it possible to not only accurately diagnose patients but to provide patient-specif c patient - directed and patient-oriented treatment - improving treatment outcomes while reducing time costs and lives lost from inef ective or harmful treatments. While qualitative and semi-quantif cation may be close - close only counts in horseshoes 5. Close is not acceptable for the practice of medicine or the treatment of patients. True quantif cation eliminates the need for qualitative evaluation or modeling ef orts to improve what is fundamentally f awed. ACKNOWLEDGMENT FMTVDM issued to f rst author. Figures reproduced by expressed consent of f rst author. REFERENCES 1. McHugh M Brown T Liss DT Stephen DP Milton G Theresa LW. Qualitative evaluation of a cardiovascular quality improvement programme reveals sizable data inaccuracies in small primary care practices. BMJ Open Quality. 2019 8. http://bit.ly/371VhEx 2. Sheikh A. Evolution of quantifi cation in clinical nuclear medicine: A brief overview of salient uses and upcoming trends. J Nucl Med Radiat Ther. 2018 9: 375. http://bit.ly/396AMbh 3. The Fleming Method for Tissue and Vascular Diff erentiation and Metabolism FMTVDM using same state single or sequential quantifi cation comparisons. http://bit.ly/2vSrFN4 4. Fleming RM Fleming MR. The importance of thinking about and quantifying disease like cancer and heart disease on a “Health-Spectrum” continuum. J Compr Cancer Rep. 2019 3: 1-3. 5. Fleming RM Fleming MR Dooley WC Chaudhuri TK. The importance of diff erentiating between qualitative semi-quantitative and quantitative imaging - close only counts in horseshoes. Eur J Nucl Med Mol Imaging. 2020. http:// bit.ly/2GSYKL5

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