Journal: Microbiology Spectrum

Article Title: Qualitative and Quantitative Detection of Multiple Sexually Transmitted Infection Pathogens Reveals Distinct Associations with Cervicitis and Vaginitis

doi: 10.1128/spectrum.01966-22

Figure Lengend Snippet: Normalized abundance of STI pathogens and Lactobacillus spp. in healthy subjects and those with cervicitis and vaginitis. (A) Box plot showing comparison of normalized abundance ratio of microbial load to human RNase P load obtained from qPCR. The bottom and top bars of the boxes represent the interquartile range (2.5th and 97.5th percentiles), and the lines within the boxes denote the median value. Circles represent data points beyond the whiskers. *, P < 0.05; **, P < 0.001; ***, P < 0.0001. (B) Heat map of 944 samples from three study groups. The normalized abundance ratio is illustrated by the color key. Each column represents a subject. Columns are clustered using normalized abundance ratio and color coded by groups: healthy, cervicitis, and vaginitis. Clustering of each microorganism was generated using unweighted pair-group method with arithmetic mean (UPGMA) clustering with Euclidean distance. (C) ROC curve showing the area under the ROC curves (AUC) of each microorganism detected in cervicitis and vaginitis. A cutoff was calculated to maximize discrimination between cases and controls: using all cases and controls in which each microorganism was detected, the maximum Youden index (YI) from the ROC curve with case-control status as the outcome and microbial normalized abundance ratio as the independent variable was determined, where YI = sensitivity + specificity − 1. LAC, Lactobacillus spp.; other abbreviations are as in Fig. 2 .

Article Snippet: The model performance was assessed by calculating the areas under the curves (AUCs) using ROC analysis (MedCalc version 19.0.4; MedCalc Software Ltd., Ostend, Belgium).

Techniques: Comparison, Generated, Control

Journal: Microbiology Spectrum

Article Title: Qualitative and Quantitative Detection of Multiple Sexually Transmitted Infection Pathogens Reveals Distinct Associations with Cervicitis and Vaginitis

doi: 10.1128/spectrum.01966-22

Figure Lengend Snippet: Classification variables selected by logistic regression models. (A) Forest plot representing the odds ratio and 95% confidence interval for the association of significant microbial agents present in cervicitis and vaginitis. Each microbial agent was analyzed using logistic regression in a multivariable model. This plot shows the significant association for combined qualitative and quantitative screening of microbial agents with cervicitis and vaginitis after adjustment for potential confounding factor. Adjusted odds ratios with 95% confidence intervals are shown in black, with odds ratios illustrated by circles. (B) Predictive value of the logistic regression models for patients and healthy subjects in the validation data set. Scatterplots showing the predictive value of the models for distinguishing cervicitis patients versus healthy controls and vaginitis patients versus healthy controls. Horizontal lines indicate the medians, and red dotted lines show the cutoff value of 0.20. ***, P < 0.0001 (Mann-Whitney U test). (C) Area under the ROC curves (AUC) of qualitative, quantitative, and simultaneous qualitative and quantitative PCR combined screening of STI pathogens discriminates women with cervicitis (left panel) and vaginitis (right panel) from healthy subjects.

Article Snippet: The model performance was assessed by calculating the areas under the curves (AUCs) using ROC analysis (MedCalc version 19.0.4; MedCalc Software Ltd., Ostend, Belgium).

Techniques: Biomarker Discovery, MANN-WHITNEY, Real-time Polymerase Chain Reaction

Journal: Microbiology Spectrum

Article Title: Qualitative and Quantitative Detection of Multiple Sexually Transmitted Infection Pathogens Reveals Distinct Associations with Cervicitis and Vaginitis

doi: 10.1128/spectrum.01966-22

Figure Lengend Snippet: The classification features selected by random forest models. (A) Random forest ranking plot of variable importance in predicting risk of cervicitis and vaginitis. The x axis shows the importance of the feature to the accuracy of the model, which was estimated by calculating the mean decrease in Gini after randomly permuting the values of each given feature. (B) Predictive value of the random forest models for distinguishing patients and healthy controls in the validation data set. Scatterplots show the predictive value of the random forest models for cervicitis and vaginitis. Horizontal lines indicate the medians, and red dotted lines show the cutoff value of 0.20. ***, P < 0.0001 (Mann-Whitney U test). (C) Area under the ROC curves (AUC) curve of the random forest classification models for cervicitis versus healthy subjects (left) and vaginitis versus healthy subjects (right).

Article Snippet: The model performance was assessed by calculating the areas under the curves (AUCs) using ROC analysis (MedCalc version 19.0.4; MedCalc Software Ltd., Ostend, Belgium).

Techniques: Biomarker Discovery, MANN-WHITNEY

Journal: Dental Research Journal

Article Title: Diagnostic accuracy of cone-beam computed tomography with modified grayscale range for detection of buccal cortical plate defects adjacent to dental implants

doi:

Figure Lengend Snippet: Cone-beam computed tomography images of a defect in the apical third with no change in grayscale range. (a) Axial view. (b) Buccolingual cross-sectional view (blue arrow points to the defect site).

Article Snippet: The sample size was calculated to be 42 in each group according to a previous study 14 assuming alpha = 0.05, power of 80%, and area under the receiver operating characteristic curve (AUC) to be 0.661 for CBCT using MedCalc version 19.0.5 software (MedCalc Software, Ostend, Belgium).

Techniques: Computed Tomography

Journal: Dental Research Journal

Article Title: Diagnostic accuracy of cone-beam computed tomography with modified grayscale range for detection of buccal cortical plate defects adjacent to dental implants

doi:

Figure Lengend Snippet: Cone-beam computed tomography images of a defect in the apical third with altered grayscale range. (a) Axial view. (b) Buccolingual cross-sectional view (blue arrow points to the defect site).

Article Snippet: The sample size was calculated to be 42 in each group according to a previous study 14 assuming alpha = 0.05, power of 80%, and area under the receiver operating characteristic curve (AUC) to be 0.661 for CBCT using MedCalc version 19.0.5 software (MedCalc Software, Ostend, Belgium).

Techniques: Computed Tomography

Journal: Dental Research Journal

Article Title: Diagnostic accuracy of cone-beam computed tomography with modified grayscale range for detection of buccal cortical plate defects adjacent to dental implants

doi:

Figure Lengend Snippet: Diagnostic accuracy of cone-beam computed tomography with and without an altered grayscale range for detection of buccal cortical bone defects

Article Snippet: The sample size was calculated to be 42 in each group according to a previous study 14 assuming alpha = 0.05, power of 80%, and area under the receiver operating characteristic curve (AUC) to be 0.661 for CBCT using MedCalc version 19.0.5 software (MedCalc Software, Ostend, Belgium).

Techniques: Diagnostic Assay, Computed Tomography

Journal: Dental Research Journal

Article Title: Diagnostic accuracy of cone-beam computed tomography with modified grayscale range for detection of buccal cortical plate defects adjacent to dental implants

doi:

Figure Lengend Snippet: Area under the receiver operating characteristic curve for regular cone-beam computed tomography (a) and altered grayscale range (b). AUC: Area under the curve.

Article Snippet: The sample size was calculated to be 42 in each group according to a previous study 14 assuming alpha = 0.05, power of 80%, and area under the receiver operating characteristic curve (AUC) to be 0.661 for CBCT using MedCalc version 19.0.5 software (MedCalc Software, Ostend, Belgium).

Techniques: Computed Tomography

Journal: Dental Research Journal

Article Title: Diagnostic accuracy of cone-beam computed tomography with modified grayscale range for detection of buccal cortical plate defects adjacent to dental implants

doi:

Figure Lengend Snippet: Diagnostic accuracy of cone-beam computed tomography with and without an altered grayscale range for detection of buccal cortical defects in the apical, middle, and cervical thirds

Article Snippet: The sample size was calculated to be 42 in each group according to a previous study 14 assuming alpha = 0.05, power of 80%, and area under the receiver operating characteristic curve (AUC) to be 0.661 for CBCT using MedCalc version 19.0.5 software (MedCalc Software, Ostend, Belgium).

Techniques: Diagnostic Assay, Computed Tomography

Journal: Dental Research Journal

Article Title: Diagnostic accuracy of cone-beam computed tomography with modified grayscale range for detection of buccal cortical plate defects adjacent to dental implants

doi:

Figure Lengend Snippet: Pairwise comparisons of the diagnostic accuracy of cone-beam computed tomography with and without an altered grayscale range for detection of buccal cortical defects in the apical, middle, and cervical thirds

Article Snippet: The sample size was calculated to be 42 in each group according to a previous study 14 assuming alpha = 0.05, power of 80%, and area under the receiver operating characteristic curve (AUC) to be 0.661 for CBCT using MedCalc version 19.0.5 software (MedCalc Software, Ostend, Belgium).

Techniques: Diagnostic Assay, Computed Tomography