Oct 23, 2015 04:05
8 yrs ago
17 viewers *
Spanish term

SUVImáx

Spanish to English Medical Medical: Health Care Whole-body 18F-FDG PET/CT
From a Whole-body 18F-FDG PET/CT report. The text reads:
"Dicha lesión mide 23 x 36.6 x 56.6 mm en sus diámetros mayores, y presenta incremento focal del metabolismo glucolítico con SUVImáx de 6.34 (lesión 1)."

This does not appear to be a a misspelling of the English "SUVmax" (meaning the maximum standardized uptake value), though perhaps it is a variant of that term.

Any help would be appreciated, thank you.

Discussion

Robert Carter (asker) Oct 23, 2015:
@Liz That's how I see it too, I've found no references to SUVImáx anywhere other than in the source document.
liz askew Oct 23, 2015:
especially as it indicates metabolic activity...
liz askew Oct 23, 2015:
Surely it could only be SUVmax?

Reference comments

7 hrs
Reference:

Hope this helps

Maximum standardized uptake value (SUV(max)) was obtained for all patients. Metabolic tumor volume and total glycolytic activity were measured in patients with a discrete parotid lesion (n = 24). Nonparameteric Student t test (Mann-Whitney U test) was performed for between-group analysis.

http://www.ncbi.nlm.nih.gov/pubmed/22268210

Standard uptake value (SUV) max was calculated in the primary tumor.

http://www.ncbi.nlm.nih.gov/pubmed/25139100



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Note added at 7 hrs (2015-10-23 11:50:38 GMT)
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Purpose: Although [18F] FDG-positron emission tomography (PET) provides vital information in diagnosing lung malignancies, the inherent uncertainties of standard uptake value (SUV) compromises its confidence. People have attempted to reduce this uncertainty by comparing the normal tissues, such as liver and spleen.

The use of standardized uptake values (SUVs) is now common place in clinical FDG-PET/CT oncology imaging, and has a specific role in assessing patient response to cancer therapy. Ideally, the use of SUVs removes variability introduced by differences in patient size and the amount of injected FDG. However, in practice there are several sources of bias and variance that are introduced in the measurement of FDG uptake in tumors and also in the conversion of the image count data to SUVs. The overall imaging process is reviewed and estimates of the magnitude of errors, where known, are given. Recommendations are provided for best practices in improving SUV accuracy.

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026294/
Note from asker:
Thanks for your help!
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