roc curve analysis tool  (MedCalc Software Ltd)

Journal: Journal of Applied Clinical Medical Physics

Article Title: Sensitivity and specificity of Varian Halcyon's portal dosimetry for plan‐specific pre‐treatment QA

doi: 10.1002/acm2.14001

Figure Lengend Snippet: ROC curves for the QA tool comparison. The investigated plan acceptance criteria include γ 2%/2 mm , γ 2%/1 mm , and γ 1%/1 mm for PD and γ 3%/3 mm , γ 3%/2 mm , and γ 2%/2 mm for ArcCHECK gamma analysis. (a) ROC analysis per treatment plan. While ArcCHECK measurements were evaluated for the entire plan, for PD the worst arc's gamma passing rate was assigned to each plan. (b) ROC analysis for PD measurements analyzed per treatment field. Higher diagnostic performance is indicated by curves with larger area under the ROC curve.

Article Snippet: Based on the dedicated ROC analysis tool, as provided by OriginPro v.9.0 (OriginLab, Northampton, MA), sensitivity and specificity for both PD and ArcCHECK QA using the aforementioned assessment at varying decision thresholds were evaluated.

Techniques: Comparison, Diagnostic Assay

Journal: Journal of Personalized Medicine

Article Title: A Novel Noninvasive Technique for Intracranial Pressure Waveform Monitoring in Critical Care

doi: 10.3390/jpm11121302

Figure Lengend Snippet: Entire sample ROC analysis of ICP and B4C P2/P1 ratios for an ICP value cut-off >20 mmHg ( up ). The power of predicting intracranial hypertension was reduced because of sample heterogeneity. The B4C P2/P1 ratio cut-off 1 ( down ) was equivalent to ICP P2/P1 ratio cut-off 1 (AUC 0.9).

Article Snippet: Additionally, a linear correlation was presented using R. The ROC curve analysis was performed using the Johns Hopkins University tool (available at www.jrocfit.org ).

Techniques:

Journal: Journal of Virological Methods

Article Title: A convenient colorimetric assay for the quantification of porcine epidemic diarrhea virus and neutralizing antibodies

doi: 10.1016/j.jviromet.2018.09.003

Figure Lengend Snippet: Receiver Operating Characteristics (ROC) analysis: Dichotomized values for the visual readouts from 96 well plates of the TCID 50 assays were compared with the OD values obtained from the MTT assay using ROC analysis tool in the MedCalc Inc. software, to obtain a cut-off value to distinguish between positive and negative wells. The true positive rate (sensitivity) and the false positive rate (100-specificity) were plotted at the Y and X axis respectively at different cutoff points for the OD values. The curve obtained is indicative of the sensitivity and specificity of the assay at a given cutoff point. The top left corner, representing the area under the curve (AUC) or accuracy of the test, was 0.931. At the selected cutoff of ≥ 0.53 the specificity was 95%, while the sensitivity was 81% with a p value of <0.0001.

Article Snippet: Fig. 3 Receiver Operating Characteristics (ROC) analysis: Dichotomized values for the visual readouts from 96 well plates of the TCID 50 assays were compared with the OD values obtained from the MTT assay using ROC analysis tool in the MedCalc Inc. software, to obtain a cut-off value to distinguish between positive and negative wells.

Techniques: MTT Assay, Software