Ultrasound, MRI and AI Diagnosis of Endometriosis in Adolescents and Young Adults: A Scoping Review Protocol

Objective: The objective of this scoping review is to identify and synthesise data that maps the current knowledge of ultrasound, MRI and AI assisted diagnosis of endometriosis in adolescents. Introduction: Endometriosis often begins in adolescents however, diagnostic delays are common due to non-specific symptoms and limitations with age-appropriate imaging. Emerging technologies in artificial intelligence (AI) and advances in ultrasound and MRI techniques creates new opportunities for earlier and less invasive diagnosis. However, current imaging protocols are based on adult population data which means for an adolescent population the imaging feasibility protocol guidelines, expert opinion or emerging AI applications remain unknown. Therefore, a scoping review is required to map existing studies, expert opinion and consensus, technological developments, identify gaps and inform future research. Inclusion criteria: This review will include adolescents and young people aged 14-25 years with imaging-based investigation for suspected or confirmed endometriosis that explore protocols, feasibility or performance of imaging-based examinations including AI. Studies will be excluded only if they lack an imaging component or focus exclusively on biomarkers or surgical diagnosis. Methods: A robust search strategy will be undertaken across MEDLINE, Embase, Scopus, CINAHL, Web of Science and grey literature sources. Two reviewers will screen titles/abstracts and full texts independently. Data will be extracted using a piloted tool and presented in tabular, graphic, and narrative form. Data will be extracted by imaging modality, technical parameters, feasibility, acceptability and AI applications.