The SUVmax and the number of regions with parietal peritoneum involvement were compared between the 2 entities using a receiver operating characteristic (ROC) curve analysis. The lesion distributions and the morphological presentations were compared between these 2 entities using the χ2 test, the continuity correction χ2 test, or Fisher's exact test. The data were analyzed using MedCalc, version 13.0.0.0 (MedCalc Software, Ostend, Belgium). If P < 0.05, the difference was considered statistically significant.
Version
Manufactured by MedCalc
Sourced in Belgium, United States
MedCalc is a software application designed for medical professionals. It provides a suite of tools for performing various medical calculations, including formulas, scores, and risk assessments. The core function of MedCalc is to assist healthcare providers in making informed decisions by offering quick and accurate access to a wide range of medical calculations.
Automatically generated - may contain errors
Lab products found in correlation
Spss statistic, by IBM (2 mentions)
Geneglobe data analysis software, by Qiagen (1 mentions)
Statistical package for social sciences spss for windows version 20.0, by IBM (1 mentions)
Statistical package for the social sciences version 23, by IBM (1 mentions)
R software version 3, by R Project for Statistical Computing (1 mentions)
Statistica version 6, by StatSoft (1 mentions)
Statistica, by StatSoft (1 mentions)
Version 19, by MedCalc (1 mentions)
Prism 5, by GraphPad (1 mentions)
36 protocols using version
1
Differentiating Peritoneal Lesion Characteristics
2
Diagnostic Accuracy of FOCI-T Severity Scale
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The collected data were analyzed using the Statistical Package for
the Social Science 18.0 (SPSS 18.0). Independent sample t-tests were used with
continuous variables to compare the mean scores between groups. Chi-square tests
were also employed with categorical variables, and analyses of variances were
applied with continuous variables to examine the differences among the
groups.
The diagnostic accuracy of the FOCI-T Severity Scale was analyzed
with the MedCalc version 8.0. To determine the best cut-off score, the indices of
sensitivity and specificity were used along with the receiver operating
characteristic (ROC) curve. Positive-likelihood ratios
(sensitivity/(1–specificity)), negative-likelihood ratios
((1–sensitivity)/specificity), positive predictive value (PPV), and negative
predictive value (NPV) of the test were analyzed concurrently.
the Social Science 18.0 (SPSS 18.0). Independent sample t-tests were used with
continuous variables to compare the mean scores between groups. Chi-square tests
were also employed with categorical variables, and analyses of variances were
applied with continuous variables to examine the differences among the
groups.
The diagnostic accuracy of the FOCI-T Severity Scale was analyzed
with the MedCalc version 8.0. To determine the best cut-off score, the indices of
sensitivity and specificity were used along with the receiver operating
characteristic (ROC) curve. Positive-likelihood ratios
(sensitivity/(1–specificity)), negative-likelihood ratios
((1–sensitivity)/specificity), positive predictive value (PPV), and negative
predictive value (NPV) of the test were analyzed concurrently.
3
Cytology-based Diagnosis of Papillary Thyroid Cancer
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The final positive diagnoses were based on histological confirmation of metastatic PTC or a cytological diagnosis of PTC. The final negative diagnoses were made based on malignancy-free lymph nodes according to cytology and negative follow-up imaging for at least 6 months, or histologically or cytologically confirmed lymph-node metastases from extrathyroidal malignancies.
The cytological results were grouped into two categories according to the cytology reports. Cases with reports documenting PTC and those documenting suspected PTC were considered positive. Negative diagnoses were assigned to (1) cases with reports where ‘atypical’ was mentioned but ‘PTC’ was not; (2) cases of lymph nodes with reactive hyperplasia; and (3) cases with reports of extrathyroidal malignancies.
‘TgAb positive’ was defined as serum TgAb > 60 IU/mL and ‘TgAb negative’ as serum TgAb ≤60 IU/mL, according to a previous report [18 ].
A receiver operating characteristic (ROC) curve analysis was conducted to determine the most appropriate threshold value for Tg-FNA, with the areas under the ROC curves (AUCs) and confidence intervals (CIs) assessed with MedCalc version 14.10.2. Comparisons of significant differences between groups were made with the χ2 test. Statistical analyses were performed with SPSS 12.0 (SPSS Inc., Chicago, IL, USA), and P < 0.05 was considered statistically significant.
The cytological results were grouped into two categories according to the cytology reports. Cases with reports documenting PTC and those documenting suspected PTC were considered positive. Negative diagnoses were assigned to (1) cases with reports where ‘atypical’ was mentioned but ‘PTC’ was not; (2) cases of lymph nodes with reactive hyperplasia; and (3) cases with reports of extrathyroidal malignancies.
‘TgAb positive’ was defined as serum TgAb > 60 IU/mL and ‘TgAb negative’ as serum TgAb ≤60 IU/mL, according to a previous report [18 ].
A receiver operating characteristic (ROC) curve analysis was conducted to determine the most appropriate threshold value for Tg-FNA, with the areas under the ROC curves (AUCs) and confidence intervals (CIs) assessed with MedCalc version 14.10.2. Comparisons of significant differences between groups were made with the χ2 test. Statistical analyses were performed with SPSS 12.0 (SPSS Inc., Chicago, IL, USA), and P < 0.05 was considered statistically significant.
4
FDOPA PET in Glioma Grading
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To compare quantitative kinetic and static FDOPA PET parameters between LGG and HGG, to compare kinetic parameters between CE and non-contrast lesions, and to compare FDOPA PET parameters with gender, a Mann–Whitney U-test was performed. The diagnostic performances of these parameters to discriminate LGG from HGG were assessed by receiver-operator characteristic (ROC) curve analyses using histological grading as reference. The optimal thresholds were defined based on maximization of Youden's index. The area under the ROC curve (AUC) was also determined for each quantitative parameter. Accuracy for grading of the kinetic parameters and CE MRI were compared pairwise with the McNemar t-test. A Spearman rank correlation test was used for correlation analysis between FDOPA PET parameters and the age of the participants. A p-value <0.05 with false discovery rate adjustement for multiple comparisons was considered as significant. Statistical analysis was performed using MedCalc® version 12.5.0.0 (Medcalc Software bvba).
5
Cd-RWPE1 Erk/MAPK Pathway Analysis
6
Demographic Data Analysis of OOR Values
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Demographic data were summarized using median and interquartile range (IQR). The proportion of OOR values based on the new RIs were compared with those of comparator laboratories. Post hoc analysis was done as per Beasley's technique, which is a post hoc method that uses multiple regression to interpret Chi-square contingency tables.[8 ] Multiple pairwise comparison between the groups, an alpha correction (Bonferroni's correction)[9 (link)] using the formula 1 − ([1 − alpha]1/t) was applied to determine significance, where “t” denotes the number of groups to be compared. Substituting t = 3 and alpha = 0.05, the new level of significance is P= 0.017. The number of OOR values between males and females was compared using Chi-squared test. Statistical significance was set at P< 0.05. Statistical analyses were performed using MedCalc version 17.2 (Publisher: Medcalc Software, Ostand, Belgium, 2017), Graphpad Prism Instat version 5 (Publisher: Graphpad Software, La Jolla, California, USA, 2007) and Statistical Package for Social Sciences (SPSS) for Windows, version 20.0 (Publisher: IBM, Armonk, New York, USA, 2011).
7
Evaluation of Esthetic Restorative Materials
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All the analysis was done using MedCalc version 14. A p-value of <0.05 was considered statistically significant. Normality was tested using the Shapiro Wilk test. Comparison of the mean ΔE values between baseline and 60 days was done using Wilcoxon Signed rank test. The mean difference in ΔE (baseline – 60 days) was compared between the two restorative materials using the Mann–Whitney U-test. The mean difference in ΔE (baseline – 60 days) was compared using Kruskal Wallis ANOVA with post hoc Conover test.
8
Diurnal Steroid Hormone Profiling
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Statistical analyses were performed using Statistical Package for the Social Sciences, version 23 and box-and-whisker plots were generated using MedCalc, version 17.8.6. The normality of distribution of variables was tested by the Kolmogorov–Smirnov test and steroid hormone profiles were noted to be log normally distributed (15 (link), 19 (link)). Reference intervals for two steroid hormones were obtained using the percentile approach. For this reason, data sets were analyzed with the paired Wilcoxon signed-rank test, pairing AM and PM values. Significant values were determined at P < 0.05.
9
Measuring Lactate: Accutrend vs Cobas
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Comparisons made between lactate measured on the Accutrend and the Cobas bench-top analyser were analysed using Bland Altman statistical analysis (Bland & Altman 1986 (link)), Passing and Bablok regression analysis (Passing & Bablok 1983 (link)) and concordance correlation (Lawrence & Lin 1989 (link)). All calculations were performed using MedCalc® Version 12.2.0.0.
10
Evaluating Data Distribution and Statistical Analysis
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The distribution of the presented, quantitative, rational data was assessed using D’Agostino's K-squared method (a.k.a. the D’Agostino-Pearson test).[24 ] Assuming a skewed distribution of the data, this test established whether the data were derived from a normally distributed population. The results were verified with the Shapiro-Francia test for normality, which indicates a predominantly non-normal data distribution. For the analysis of two unpaired, independent data sets, a non-parametric Mann-Whitney test for two-sided, independent samples was applied. P < 0.05 was considered statistically significant. The data were collected using Microsoft Excel (Microsoft Office® 2010). The statistical analysis was performed using MedCalc®, version 7.6.0.0 (MedCalc Software, Mariakerke, Belgium), and Microsoft Excel® 2010. The scatter plot of image quality to radiation dose for each scanner generation was obtained.
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