Barely Significant
← all excerpts

Does the beta regularization parameter of bayesian penalized likelihood reconstruction always affect the quantification accuracy and image quality of positron emission tomography computed tomography?

J Appl Clin Med Phys · 2021 · PMC7984479 · PMID 33683004

3
hedged sentences
0.0010
closest p · 0.0× alpha
0.0100
boldest claim

The sentences

highly significantP < 0.001actually significant
In addition, highly significant negative correlations were observed between SUVs and beta values for both lesion‐size groups before the PVC ( P < 0.001 for all).

also in 132,142 other papers

a decreasing trendP < 0.01actually significant
reported that, for small pulmonary nodules, a decreasing trend was observed in SUVmax when beta value increased from 150 to 350 ( P < 0.01), although they did not state whether PVC was performed and no further information on SUVmean, SUVpeak, and lesion sizes was found. 21 After PVC was performed, SUVmean and SUVmax of both groups showed negative correlations.

also in 47,180 other papers

may not be significantno p-value reported
This suggests that the drawback of increasing beta values on quantification accuracy may not be significant for sub‐centimeter lesions when PVC is performed and SUVpeak is chosen as the quantification parameter.

also in 2,774 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.