The investigators' central hypothesis is that using mHRME plus three-dimensional (3D) mapping as a diagnostic tool will improve the accuracy and efficiency of HSIL diagnoses. Additionally, the investigators hypothesize that the sensitivity (SN) specificity (SP), positive predictive value (PPV), and negative predictive value (NPV), as well as the receiver operating characteristic (ROC) curve for the identification of neoplasia on a per biopsy and per patient basis will be high. The investigators will first compare the HRA-directed biopsy (as the gold standard) to the results of the mHRME HSIL diagnosis. The SN of mHRME diagnosis in the detection of HSIL will be estimated with the binomial proportion of study participants who are positive for HSIL on HRA-guided biopsy at two thresholds of histology thresholds which are: 1) Anal intraepithelial neoplasia (AIN) 2+ threshold, and 2) AIN3+ threshold. SP will be estimated as the proportion of study participants who are negative for HSIL on HRA-guided biopsy at both thresholds. PPV and NPV will be estimated using the binomial proportion and 95% confidence interval (CI). In addition, Cohen's kappa statistic and ROC curves will be generated if patient characteristics such as low Clusters of differentiation 4 (CD4) count, combined antiretroviral treatment (cART) utilization, or high HIV viral load impact the determination of SN and SP. SN and SP of mHRME-based HSIL diagnosis will be estimated on a per lesion and per patient basis with 95% CI and compared by McNemar's test. A generalized linear model for logistic regression with multiple correlated outcomes will compare SN and SP of each method on a per biopsy and per patient basis.
Primary Objective:
To determine if the mHRME plus 3D mapping improves the accuracy of anal HSIL diagnosis compared to the gold standard of histologic diagnosis of HSIL by HRA-guided biopsy.
Secondary Objectives:
Determination whether HRME changes the decision to perform biopsy.
