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The Effectiveness of High Resolution Microendoscopy for People Living With HIV

The Effectiveness of High Resolution Microendoscopy (HRME) in High Grade Intraepithelial Lesions (HSIL) Diagnosis for People Living With HIV

Status
Completed
Phases
Phase 1Phase 2
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04563754
Enrollment
163
Registered
2020-09-24
Start date
2019-07-30
Completion date
2025-03-28
Last updated
2025-04-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anal High Grade Squamous Intraepithelial Lesion

Brief summary

The investigators have developed a portable, battery-operated, mobile high-resolution microendoscope (mHRME) that provides subcellular images of the anal epithelium, delineating the cellular and morphologic changes associated with neoplasia. The investigators' central hypothesis is that this 'optical' approach will increase the efficiency, clinical impact, and cost-effectiveness of the current standard of high-resolution anoscopy(HRA)-guided biopsy, thus facilitating usage by less-experienced clinicians in community-based or low-resource settings. To validate this, the investigators will conduct a study to determine the efficiency and diagnostic characteristics of the mHRME 'optical biopsy' approach versus the current standard of HRA-based tissue biopsy. Successful results will allow for improved efficacy and resource utilization for cancer screening in people living with HIV for anal cancer and other epithelial cancers including the cervix, oral cavity, bladder, and GI tract.

Detailed description

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.

Interventions

DIAGNOSTIC_TESTmHRME (Mobile High resolution microendoscope)

Standard of care (SOC) high-resolution anoscopy (HRA) with Lugol's iodine will be performed. The unstained (abnormal) area will be evaluated with mHRME for optical biopsy diagnosis: 1. contrast agent will be applied to anal epithelium (5-10 ml of proflavine hemisulfate (0.01%)), 2. the mHRME will then be inserted and imaging of abnormal tissues will be performed. This will add 2 to 6 minutes per procedure. This is a single-arm study where all subjects will receive both SOC HRA and experimental mHRME imaging.

Contrast agent will be applied to anal epithelium (5-10 ml of proflavine hemisulfate (0.01%)) to use with the mHRME

Standard of care (SOC) HRA with Lugol's iodine will be performed.

Sponsors

Icahn School of Medicine at Mount Sinai
CollaboratorOTHER
William Marsh Rice University
CollaboratorOTHER
University of California, San Francisco
CollaboratorOTHER
The University of Texas Health Science Center, Houston
CollaboratorOTHER
M.D. Anderson Cancer Center
CollaboratorOTHER
Medical University of South Carolina
CollaboratorOTHER
Baylor College of Medicine
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Masking description

No masking will be used in this study.

Intervention model description

This is a single-arm study where all subjects will receive both standard of care HRA (High resolution anoscopy) and experimental mHRME imaging.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Consentable patients with documented HIV disease * Either: 1) previously documented HSIL or 2) abnormal anal cytology within the past 2 years * Ages 18 years and older * Seen at the Baylor-affiliated Thomas Street Clinic (TSC), Mount Sinai Hospital and affiliated clinics

Exclusion criteria

* Unable to undergo routine anoscopy * Allergy or prior reaction to the fluorescent contrast agent Proflavine or Iodine * Unable to give informed consent * Current or prior history of Invasive Anal Cancer * Known permanent or irreversible bleeding disorder, or other hematologic disorder that in the opinion of the investigator would place the patient at increased risk for adverse outcome from the procedure * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Performance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)1 dayThe primary outcome of this study is to measure the operating characteristics including SN, SP, PPV and NPV comparing the physician- and algorithm- guided HRME-based image compared to the Lugol's- guided physician diagnosis of HSIL during HRA. Gold standard consensus pathology was used and pathology data needs to be obtained, verified, and entered.

Secondary

MeasureTime frameDescription
Procedure Efficiency1 dayDiagnostic yield: The number of neoplastic biopsies/total number of biopsies obtained in patients who received biopsies.
Procedure Time1 dayTotal procedure time (HRA+HRME+biopsies) vs HRME time alone

Countries

United States

Participant flow

Recruitment details

Participants were recruited at two anal dysplasia clinics: Tisch Cancer Institute Mount Sinai in New York, NY, and Thomas Street Health Center in Houston, TX. At Tisch Cancer Institute Mount Sinai, participants were recruited between July 30, 2019, and September 28, 2021. At Thomas Street Health Center, participants were recruited between December 8, 2021, and March 28, 2023. Participants were consented and screened for eligibility at time of presentation to the two recruitment sites.

Participants by arm

ArmCount
Tisch Cancer Institute Mount Sinai
Participants enrolled in the Tisch Cancer Institute Mount Sinai.
79
Thomas Street Health Center
Participants enrolled in the Thomas Street Health Center, excluding the first 18 participants used as test subjects.
66
Training Set Cohort
The first 18 participants enrolled in the Thomas Street Health Center as test subjects.
18
Total163

Withdrawals & dropouts

PeriodReasonFG000FG001FG002
Follow upDeath020
Follow upLost to Follow-up61235
Follow upOngoing0280
HRME ProcedureNo HRA and/or HRME data due to technical difficulties or quality control issues with HRME imaging1160
HRME ProcedureOptimization/validation of 3D imaging and HRME0018

Baseline characteristics

CharacteristicTisch Cancer Institute Mount SinaiThomas Street Health CenterTraining Set CohortTotal
Age, Continuous45.0 years48.0 years50.5 years47.0 years
Ethnicity (NIH/OMB)
Hispanic or Latino
34 Participants36 Participants12 Participants82 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
45 Participants30 Participants6 Participants81 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants1 Participants0 Participants1 Participants
Race (NIH/OMB)
Asian
2 Participants2 Participants0 Participants4 Participants
Race (NIH/OMB)
Black or African American
24 Participants26 Participants4 Participants54 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
8 Participants0 Participants0 Participants8 Participants
Race (NIH/OMB)
Unknown or Not Reported
12 Participants25 Participants8 Participants45 Participants
Race (NIH/OMB)
White
33 Participants12 Participants6 Participants51 Participants
Sex: Female, Male
Female
4 Participants5 Participants2 Participants11 Participants
Sex: Female, Male
Male
75 Participants61 Participants16 Participants152 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 790 / 660 / 18
other
Total, other adverse events
0 / 790 / 660 / 18
serious
Total, serious adverse events
0 / 790 / 660 / 18

Outcome results

Primary

Performance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)

The primary outcome of this study is to measure the operating characteristics including SN, SP, PPV and NPV comparing the physician- and algorithm- guided HRME-based image compared to the Lugol's- guided physician diagnosis of HSIL during HRA. Gold standard consensus pathology was used and pathology data needs to be obtained, verified, and entered.

Time frame: 1 day

Population: The training set cohort (n=18) was used to optimize and develop the automated algorithms assessed for primary and secondary outcomes in the actual clinical study. In both the training set cohort and the clinical study, subjects unable to complete the HRME examination or undergo evaluation with the automated algorithm (n=26) were excluded. The remaining 137 evaluable subjects had images assessed by the algorithm and were analyzed separately by study site and the training set cohort.

ArmMeasureGroupValue (NUMBER)
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - SN90.0 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - SP65.6 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - PPV63.2 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - NPV90.9 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - SN90.0 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - SP67.2 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - PPV64.3 percentage of biopsies
Tisch Cancer Institute Mount SinaiPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - NPV91.1 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - PPV27.8 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - PPV42.9 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - NPV88.9 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - SN92.3 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - SP68.0 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - SN76.9 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - SP48.0 percentage of biopsies
Thomas Street Health CenterPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - NPV97.1 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - PPV90.0 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - SP90.9 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - SN100.0 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRA - NPV100.0 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - PPV100.0 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - SP100.0 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - SN100.0 percentage of biopsies
Training Set CohortPerformance Characteristics: Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV) and Negative Predictive Values (NPV)HRME - NPV100.0 percentage of biopsies
Secondary

Procedure Efficiency

Diagnostic yield: The number of neoplastic biopsies/total number of biopsies obtained in patients who received biopsies.

Time frame: 1 day

Population: The training set cohort (n=18) was used to optimize and develop the automated algorithms assessed for primary and secondary outcomes in the actual clinical study. In both the training set cohort and the clinical study, subjects unable to complete the HRME examination or undergo evaluation with the automated algorithm (n=26) were excluded. The remaining 137 evaluable subjects had images assessed by the algorithm and were analyzed separately by study site and the training set cohort.

ArmMeasureValue (NUMBER)
Tisch Cancer Institute Mount SinaiProcedure Efficiency39.6 percentage of biopsies
Thomas Street Health CenterProcedure Efficiency20.6 percentage of biopsies
Training Set CohortProcedure Efficiency45.0 percentage of biopsies
Secondary

Procedure Time

Total procedure time (HRA+HRME+biopsies) vs HRME time alone

Time frame: 1 day

Population: The training set cohort (n=18) was used to optimize and develop the automated algorithms assessed for primary and secondary outcomes in the actual clinical study. In both the training set cohort and the clinical study, subjects who did not have both the procedure start and end times recorded were excluded (n=10). The remaining 153 subjects were analyzed separately by study site and the training set cohort.

ArmMeasureGroupValue (MEDIAN)
Tisch Cancer Institute Mount SinaiProcedure TimeTotal procedure time8 minutes
Tisch Cancer Institute Mount SinaiProcedure TimeHRME time2 minutes
Thomas Street Health CenterProcedure TimeHRME time4 minutes
Thomas Street Health CenterProcedure TimeTotal procedure time12 minutes
Training Set CohortProcedure TimeHRME time5 minutes
Training Set CohortProcedure TimeTotal procedure time17 minutes

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026