Sentence examples for pathology outcome from inspiring English sources

A cutoff of ΔSUVmax of −75% offered an accuracy of 76% in predicting pathology outcome (Humbert et al, 2012).

The absolute value of residual F-FDG uptake on interim PET, whatever the site of residual uptake (breast or axilla), was the single most important parameter in the prediction of pathology outcome.

We set out to find (1) which pair(s) of PET SUVR and pathology SoT endpoints matched best, (2) whether quantitative measures of [F]flutemetamol PET were better for predicting the pathology outcome than blinded image examination (BIE), and (3) whether there was a better match between PET image findings in retrospective vs. prospective studies.

Characterizing speech and language pathology outcomes in stroke rehabilitation.

This prospective study was designed and powered to investigate the ability of interim 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18FDG-PET/CT) to predict pathology outcomes to NAC early during treatment.

Stepwise logistic regression analyses was performed using SAS v9.2 (SAS, NC, USA) for prediction of pathology outcomes such as TN, ER, PR, and HER2/neu status, and Spearman correlation analyses were used for correlation between aUPD at chromosome 17p and TP53 mutation status.

We investigated the ability of interim positron emission tomography (PET) regarding early prediction of pathology outcomes.

We examined the ability of F-FDG-PET/CT in predicting pathology outcomes after only two cycles of chemotherapy.

In this case, the cutoff of 62% decrease in SUVmax predicted pathology outcomes with an overall accuracy of 73.3% (22 out of 30) (sensitivity 85.7%, specificity 62.5%).

The adjusted odds ratios (ORs) for gender and age from multilevel multivariate logistic regression models for the liver pathology outcomes, as assessed by US examination, are shown in Table 1.

Figure 2 shows the AUC for prediction of pathology outcomes for each of the following PET parameters: SUVmax value of target lesion at PET1; SUVmax value of target lesion at PET2; and ΔSUVmax of the target lesion.