The most encouraging result from the patient study was the small variation in all three orientations for the normal patients compared to the abnormal patients.
It is unknown how the perfusion vector method works in attenuation-corrected images, but one hypothesis is that the variation in different orientations for the normal patients will be even smaller due to a more homogenous tracer uptake in attenuation-corrected images.
The significance of the coefficients for the normal-weight patient BMI condition vs. the overweight and obese patient BMI contrasts in the final model indicated a significant difference in perceptions between those exposed to the normal-weight pregnant patient and those exposed to the overweight and obese pregnant patients.
The p value is related to the normal group Fig. 9 Comparison between stress vector magnitude and automatically derived defect extent Fig. 10 Box plots for the difference magnitude for normal patients, as well as patients with ischemia and infarction.
Resultant PCR amplicons were then purified and labeled with Cy3-dCTP or Cy5-dCTP for the normal controls and patient samples, respectively, using Klenow polymerase (Takara).
As seen in Fig. 8, the range for normal patients was small in all three orientations, whereas the ranges were large in the abnormal patient groups.
Fig. 8 Box plots for the stress perfusion vectors for normal patients and patients with ischemia or infarction at different locations (apical, inferior, anterior, lateral) for the x-axis (a), y-axis (b), and z-axis (c).
Differences in bacteria levels were searched for between the groups: normal patients and cancers using Mann-Whitney no parametric test.
The mean for normal patients was calculated, where N - samples from normal patients, and # N is their number In the case of ν i < T i, the gene expression values were transformed by ; otherwise.
In addition, the hospital has to care for the normal caseload of patients that arrive on a daily basis.
