Ovarian Cancer Screening: Recommendations and Future Prospects.

Area of Science:

• Gynecologic Oncology
• Diagnostic Imaging
• Biomarker Discovery

Background:

• Ovarian cancer is a leading cause of female mortality, primarily due to difficulties in early detection.
• Existing screening methods (transvaginal ultrasound, CA125) exhibit limited sensitivity and specificity, especially for early-stage or asymptomatic disease.
• Current guidelines do not recommend routine population-based screening due to high false-positive rates and lack of reliable early detection.

Purpose of the Study:

• To review current ovarian cancer screening guidelines.
• To explore recent advancements in diagnostic technologies for ovarian cancer detection.
• To assess the potential of emerging technologies in improving screening accuracy and applicability.

Main Methods:

• Review of existing literature on ovarian cancer screening guidelines.
• Analysis of novel diagnostic technologies including radiomics, artificial intelligence, and liquid biopsy.
• Evaluation of minimally invasive methods and cell-free DNA profiling.

Main Results:

• Emerging technologies demonstrate potential for enhanced sensitivity and specificity in ovarian cancer detection.
• Artificial intelligence and radiomics may revolutionize screening by identifying subtle diagnostic patterns.
• Liquid biopsy and cell-free DNA profiling offer tumor-specific biomarker detection; minimally invasive methods show population-wide applicability.

Conclusions:

• Current ovarian cancer screening methods are insufficient for early-stage detection.
• Novel technologies like AI, radiomics, and liquid biopsy offer improved diagnostic potential.
• Extensive clinical validation is crucial for establishing new techniques as reliable screening options, especially for at-risk populations.