Abstract
Quantitation can improve the precision and accuracy of the final interpretation of an imaging study and convey useful information to the referring clinician, but the quantitative results should be used as a “consultant” and should not override the visual appearance. This chapter explores the strengths and weaknesses of both quantitative and visual approaches to image interpretation. For the foreseeable future, quantitation should inform the eye-brain complex, but not replace it.
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References
Chace AB. Rhind mathematical papyrus; 1927. p. 27. National Council of Teachers of Mathematics, 1979; ISBN 0-87353-133-7.
Internet: Extraordinary design in the eye, 2016. http://www.designanduniverse.com/articles/design_in_the_eye.php
Harmon LD, Julesz B. Masking in visual recognition: effects of two-dimensional filtered noise. Science. 1973;180:1194.
von Ahn L, Maurer B, McMillen C, et al. reCAPTCHA: human-based character recognition via web based security measures. Science. 2008;321:1465–8.
Bohannon J. Unmasked: facial recognition software could soon ID you in any photo. Science. 2015;347:492–4.
Quote from Fei-Fei Li. In: Beyond the turing test. Science. 2015;347:116.
Keyes JW. SUV: standard uptake or silly useless value? J Nucl Med. 1995;36:1836–9.
Boellaard R. Standards for PET image acquisition and quantitative data analysis. J Nucl Med. 2009;50:11S–20.
Kumar V, Nath K, Berman CG, et al. Variance of SUVs for FDG-PET-CT is greater in clinical practice than under ideal study settings. Clin Nucl Med. 2013;38:175–82.
Coleman RE, Graham MM. Is quantitation necessary for oncological PET studies? Eur J Nucl Med. 2002;29:133–5.
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Klingensmith, W.C. (2016). Quantitative vs. Visual Interpretation of Images. In: The Mathematics and Biology of the Biodistribution of Radiopharmaceuticals - A Clinical Perspective. Springer, Cham. https://doi.org/10.1007/978-3-319-26704-3_2
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DOI: https://doi.org/10.1007/978-3-319-26704-3_2
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