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The impact of SUVref on variation in quantification due to differences in reconstruction was investigated using both phantom and clinical data.
In addition to reducing the variation in quantification of uptake for individual hotspots across different reconstruction protocols, SUVref also significantly reduces the variation in assessments of change in uptake when both the baseline and follow-up scans are reconstructed using the same protocol.
The generally observed differences in coverage between both long range PCR products might reflect variation in quantification or pooling of these prior to sequencing.
Filter-aided sample preparations facilitated reasonable processing times and yielded a balanced representation of membrane proteins, but led to a high signal variation in quantification experiments.
Secondly, when we investigated the ability of SYBR green qPCR to derive gene copy numbers from test gDNA in which known amounts of HPV16 DNA had been added, we found moderate variation in quantification of individual E2 and E6 amplicons.
The inter-run coefficients of variation in quantification of gene copy number at each crossing point ranged from approximately 4% to 31% (see penultimate row of each section of Table 2), which is in agreement with previously published findings [ 5, 10, 11].
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Therefore, the introduction of isotope analogs minimized the matrix effect and variations in quantification and ensured accurate identification of non-targeted FAs by those typical features.
The lack of a standardised protocol with regards to reagents and gating strategies may account for the widespread inter-laboratory variations in quantification of EPC.
However, the lack of an established and generally accepted marker combination and of a standardised protocol with regards to reagents and gating strategies may account for the widespread interlaboratory variations in quantification of EPC [12].
Due to the magnitude of the day-to-day variation, changes in quantification of SUV ± 15 20% (i.e. 2 standard deviations) are within the reproducibility limits of this method of quantification and therefore should be considered as stable values.
Normalization of chest CT data reduces variation in emphysema quantification due to different reconstruction filters and scanner manufacturers, and improves correlation of emphysema quantifications and spirometry in data obtained with varying reconstruction settings.
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