Sentence examples for visual assessment for from inspiring English sources

All G2 rabbits were firstly examined macroscopically by visual assessment for the presence of curled whiskers, the length and the content of coarse fibres.

Macroscopic visual assessment for the presence of curled whiskers, length and content of coarse fibres is efficient to categorize rabbits having a typical defined phenotype in rex or normal coat type as proposed by Castle [8].

Power spectra of delta (1 4 Hz), theta (5 10 Hz), and spindle (12 15 Hz) frequency bands were calculated continuously, and sleep-wake episodes were scored by visual assessment for 10-s epochs according to standard criteria [22].

1345 patients were referred for visual assessment for this study.

Currently no data are available on the superiority of the semiautomated analysis compared to the visual assessment for CEUS.

Furthermore, the threshold value of visual assessment for distinguishing outcomes is another major concern of using interim PET/CT as a predictive marker.

While these findings suggest the potential importance of identifying ILA, and comparisons between quantitative and visual assessments of clinically established pulmonary fibrosis have been performed [ 16– 18], there has been no published data on the relationship between quantitative and visual assessments for ILA identification.

To assess the condition of the housing stock, centers either modified a measure developed by the U.S. Department of Housing and Urban Development (Jacobs et al. 2002) or developed their own instruments, which included visual assessments for molds/mildew, deteriorated paint, safety hazards, leaks, roach/rodent infestations, and other factors (Appendix 2).

Seventy pelvic ilia were sufficiently preserved for visual assessment of sex, for which we relied on angle and depth of the greater sciatic notch and, when preserved sufficiently to be scrutinized, curvature of the iliac crest (Figure 3D).

SnoopCGH enables the visual assessment of genomes for SVs, with an estimation of their locations and statistical significance, as well as the ability to cross-check with external information (e.g. sequence annotation).

The phenomena described are relevant not only for the measurement of SUV but for visual assessment of PET images, as well.