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A robust conversion method ofradioactivities between plastic and NaI scintillation well counters for long-term quality control and quality assurance

View Article: PubMed Central - PubMed

ABSTRACT

Purpose: The purpose of this study is to specify a simple procedure for arobust data conversion of radioactivity value between plastic scintillator (PL)and NaI scintillator (NaI) devices.

Materials and methods: The radioactivity estimate of 100 blood samples was measured by thetwo devices. The two radioactivities were plotted on the same graph. Theleast-squares method was applied to obtain the conversion function. Thedifferences between the actual radioradioy (N)from the NaI device and the estimated radioactivity for NaI (N’) from the PL device activity (P) were statistically analyzed.

Results: N’ was determined from P as N’ = 4.45 P + 6.28 with high correlation (r = 0.997). The Bland-Altman analysis between N’ and N showed nofixed bias and no proportional bias.

Conclusions: A hundred blood samples using a fixed type of sample tubes and afixed radionuclide may be required to set up the robust conversionfunction.

No MeSH data available.


Relationship between statistical power and number of samples atp = 0.05 by changing the effect size(ES) from the actual ES = 0.0238 to the typical ES {0.1, 0.3,0.5}
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Fig4: Relationship between statistical power and number of samples atp = 0.05 by changing the effect size(ES) from the actual ES = 0.0238 to the typical ES {0.1, 0.3,0.5}

Mentions: Figure 4 shows therelationship between statistical power and various effect sizes. Changes ofstatistical powers with an actual effect size of 0.0238 and three typical effectsizes of 0.1, 0.3, and 0.5 are shown as bold and dashed lines. The statistical powerof this study was small (0.05) because of the small effect size of 0.0238. Theresult suggested that the statistical test might have been prone to the type IIerror. The effect size depended on the SD of the differences in counts between twomeasurements. Not only the differences of scintillation materials but also those ofcounting methods in different devices might have affected the effect size becausefluctuation of radioactivity measurements was observed as SD.Fig. 4


A robust conversion method ofradioactivities between plastic and NaI scintillation well counters for long-term quality control and quality assurance
Relationship between statistical power and number of samples atp = 0.05 by changing the effect size(ES) from the actual ES = 0.0238 to the typical ES {0.1, 0.3,0.5}
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4998199&req=5

Fig4: Relationship between statistical power and number of samples atp = 0.05 by changing the effect size(ES) from the actual ES = 0.0238 to the typical ES {0.1, 0.3,0.5}
Mentions: Figure 4 shows therelationship between statistical power and various effect sizes. Changes ofstatistical powers with an actual effect size of 0.0238 and three typical effectsizes of 0.1, 0.3, and 0.5 are shown as bold and dashed lines. The statistical powerof this study was small (0.05) because of the small effect size of 0.0238. Theresult suggested that the statistical test might have been prone to the type IIerror. The effect size depended on the SD of the differences in counts between twomeasurements. Not only the differences of scintillation materials but also those ofcounting methods in different devices might have affected the effect size becausefluctuation of radioactivity measurements was observed as SD.Fig. 4

View Article: PubMed Central - PubMed

ABSTRACT

Purpose: The purpose of this study is to specify a simple procedure for arobust data conversion of radioactivity value between plastic scintillator (PL)and NaI scintillator (NaI) devices.

Materials and methods: The radioactivity estimate of 100 blood samples was measured by thetwo devices. The two radioactivities were plotted on the same graph. Theleast-squares method was applied to obtain the conversion function. Thedifferences between the actual radioradioy (N)from the NaI device and the estimated radioactivity for NaI (N’) from the PL device activity (P) were statistically analyzed.

Results: N’ was determined from P as N’ = 4.45 P + 6.28 with high correlation (r = 0.997). The Bland-Altman analysis between N’ and N showed nofixed bias and no proportional bias.

Conclusions: A hundred blood samples using a fixed type of sample tubes and afixed radionuclide may be required to set up the robust conversionfunction.

No MeSH data available.