Whereas the sensitivity of chest radiography is relatively low (solitary nodule rarely detected if <5 mm, 50% detected if 6 10 mm, may be missed even if as large as 35 mm) [ 11– 13], magnetic resonance imaging (MRI) is more sensitive with sensitivities of >50% for nodules >5 mm and almost 100% for nodules >10 mm [ 14, 15].
Given this information, we consider that computational blocks with sensitivities of at least 10−4.5 can be supported.
We thus concluded that computational blocks with sensitivities of at least 10−4.5 can be supported by the observed data.
The best options are therefore the 5+2½-pinhole and the 1+2½-slit systems, with sensitivities of 4.9*10 4 and 4.0*10 4, respectively.
The overall accuracy of MRI in predicting cervical involvement is reported as 90-92%, with sensitivities of 75-80% and specificities of 94-96% [43, 44, 45].
ASO-RT-PCR and semi-nested ASO-PCR assays could detect NPM1-mutA with sensitivities of 10−2 and 10−5, respectively.
The ZnO NR sensors grown at 6 h exhibited the highest response to CO and NH3 gases with sensitivities of 0.37 and 0.05 %/ppm, respectively.
Depending on stage and umbilical artery parameter, fetal oxygen saturation cutoffs were 33%to36%6%, with sensitivities of 0.67 to 0.8 and specificities of 0.62 to 0.90.
The reference CTA score and the revised four-point venous CTA score confirmed cerebral circulation arrest (positive score) with sensitivities of 88%% (73/83) and 95%% (79/83), respectively.
In patients with suspected recurrence clinically, FDG-PET/CT has been reported to be accurate in confirming the presence or absence of recurrent disease with sensitivities of 90.3−92.7% and specificities of 81−100% [102, 103].
With very low thermal drifts, below 0.05%RH/°C, a RH range of 30% is covered by both tag with sensitivities of 100 fF/RH% for the inkjetted serpentine structure and 54 fF/RH% for the screen-printed one.
