<p>ROC analyses of the sensitivity and specificity for the prediction of overall survival by the combined CXCR4 expression and TNM stage model, the TNM stage model, and the CXCR4 expression model. P values show the area under the ROC curves (AUC) of the combined CXCR4 expression and TNM stage model versus AUCs of the TNM stage model or the CXCR4 expression model. ROC, receiver operating characteristic.</p
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>(A–C) Kaplan-Meier analyses of overall survival according to intratumoral CXCR4 expression in pat...
<div><p>(A) The ROC analysis for distinguishing between GC and control subjects using an N-glycan ma...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>ROC plot of 3-year survival rate based on established model and TNM stage for patients with node-...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>Note. A) ROC curve for all stage CRC with a non-optimism corrected AUC of 0.8870. B) ROC curve fo...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>ROC curves for systemic inflammatory response markers in patients with gastric cancer (GC) accord...
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>(A) (E) DFS, (B) (F) OS in the training set. (C) (G) DFS, (D) (H) OS in the validation set. (A-D)...
Receiver Operating Characteristic (ROC) curve for the best cut-off point of Glasgow Coma Scale (GCS)...
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>(A–C) Kaplan-Meier analyses of overall survival according to intratumoral CXCR4 expression in pat...
<div><p>(A) The ROC analysis for distinguishing between GC and control subjects using an N-glycan ma...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>ROC plot of 3-year survival rate based on established model and TNM stage for patients with node-...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>Note. A) ROC curve for all stage CRC with a non-optimism corrected AUC of 0.8870. B) ROC curve fo...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>ROC curves for systemic inflammatory response markers in patients with gastric cancer (GC) accord...
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>(A) (E) DFS, (B) (F) OS in the training set. (C) (G) DFS, (D) (H) OS in the validation set. (A-D)...
Receiver Operating Characteristic (ROC) curve for the best cut-off point of Glasgow Coma Scale (GCS)...
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>(A–C) Kaplan-Meier analyses of overall survival according to intratumoral CXCR4 expression in pat...