Viewing Study NCT05245695


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Ignite Modification Date: 2025-12-25 @ 12:51 PM
Study NCT ID: NCT05245695
Status: RECRUITING
Last Update Posted: 2025-06-25
First Post: 2022-02-01
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
Sponsor: Aspira Women's Health
Organization:

Study Overview

Official Title: Deep Neural Network Stratification for the Use in Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
Status: RECRUITING
Status Verified Date: 2025-06
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: The goal of this observational study is to determine the clinical validity of a deep neural network algorithm that utilizes protein biomarker detection of Endometriosis - "EndoCheck" - as an "aid in diagnosis" for endometriosis and to show validity as a diagnostic test
Detailed Description: The objective is to confirm the clinical performance (sensitivity and specificity) of EndoCheck when compared to laparoscopic surgical assessment as an "aid in diagnosis" for endometriosis in subjects who present with chronic pelvic pain.

The primary endpoint of the study is to optimize the test to achieve the success criteria of at least 94% and 79% sensitivity and specificity, respectively. Secondary endpoints include examining the performance of the test in patients stratified by pain severity and other clinical factors.

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: False
Is an FDA AA801 Violation?: