Literature DB >> 30696466

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

Richard M Fleming1, Matthew R Fleming2, Tapan K Chaudhuri3, William C Dooley4, Andrew McKusick2,5.   

Abstract

Entities:  

Keywords:  AI; Breast cancer; Breast inflammation; FMTVDM©℗; B.E.S.T. Imaging©℗; Nuclear camera quantitative calibration; Patent protected; Quantification; Theranostics

Mesh:

Year:  2019        PMID: 30696466      PMCID: PMC6352358          DOI: 10.1186/s13058-019-1103-6

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


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We applaud the efforts by Hruska et al. [1] to quantify differences in tissue using molecular breast imaging (MBI) and background parenchymal uptake (BPU); we have discussed the use of such previously [2]. 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 [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.
  4 in total

1.  Breast enhanced scintigraphy testing distinguishes between normal, inflammatory breast changes, and breast cancer: a prospective analysis and comparison with mammography.

Authors:  Richard M Fleming; William C Dooley
Journal:  Integr Cancer Ther       Date:  2002-09       Impact factor: 3.279

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

Authors:  Richard M Fleming; Matthew R Fleming; Andrew McKusick; Tapan K Chaudhuri
Journal:  J Nucl Med       Date:  2018-07-20       Impact factor: 10.057

3.  SUV: standard uptake or silly useless value?

Authors:  J W Keyes
Journal:  J Nucl Med       Date:  1995-10       Impact factor: 10.057

4.  Quantitative background parenchymal uptake on molecular breast imaging and breast cancer risk: a case-control study.

Authors:  Carrie B Hruska; Jennifer R Geske; Tiffinee N Swanson; Alyssa N Mammel; David S Lake; Armando Manduca; Amy Lynn Conners; Dana H Whaley; Christopher G Scott; Rickey E Carter; Deborah J Rhodes; Michael K O'Connor; Celine M Vachon
Journal:  Breast Cancer Res       Date:  2018-06-05       Impact factor: 6.466

  4 in total

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