Letter to the Editor: A response to Hruska’s case study on molecular breast imaging and the need for true tissue quantification
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KeywordsFMTVDM©℗; B.E.S.T. Imaging©℗ Breast cancer Breast inflammation Theranostics Quantification AI Nuclear camera quantitative calibration Patent protected
We applaud the efforts by Hruska et al.  to quantify differences in tissue using molecular breast imaging (MBI) and background parenchymal uptake (BPU); we have discussed the use of such previously . The approach while commendable did not provide diagnostically useful information to differentiate tissue types. This approach, like the utilization of standardized uptake value (SUV), compares differences in background with tissue . 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.
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- 4.Fleming RM, Fleming MR, McKusick A, Chaudhuri TK. Semiquantification limitations: FMTVDM©℗ demonstrates quantified tumor response to treatment with both regional blood flow and metabolic changes. J Nucl Med. 2018;59(10):1643–4. https://doi.org/10.2967/jnumed.118.217018 published ahead of print. PMID: 30030345.CrossRefPubMedGoogle Scholar
- 5.Fleming RM, Fleming MR, Chaudhuri TK, Dooley WC, McKusick A. FMTVDM; B.E.S.T.©℗ imaging theranostically used to guide treatment response in a woman with recalcitrant breast cancer. Biomed J Sci Tech Res. 2018 ISSN: 2574-1241. DOI: https://doi.org/10.26717/BJSTR.2018.11.002111.
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