The added value of apparent diffusion coefficient assessments in O-RADS MRI evaluation for characterizing ovarian...

Area of Science:

• Radiology
• Oncology
• Medical Imaging

Background:

• Ovarian masses require accurate differentiation between benign and malignant types.
• Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) measurements enhance MRI's diagnostic capabilities.
• The O-RADS-MRI scoring system aids in classifying adnexal lesions.

Purpose of the Study:

• To evaluate the added diagnostic value of quantitative ADC in adnexal masses.
• To assess the impact of ADC measurements on the O-RADS-MRI classification system's performance.
• To determine optimal ADC cut-off values for improved tumor classification.

Main Methods:

• Retrospective analysis of 159 patients with 218 ovarian masses.
• Histopathological evaluation classified masses into benign, borderline, and malignant groups.
• Analysis of MRI parameters including ADC values and O-RADS categories, with ROC curve analysis for optimal cut-offs.

Main Results:

• Optimal ADC cut-off values were identified for differentiating O-RADS MRI categories.
• The novel ORADS-ADC classification demonstrated superior diagnostic performance over traditional O-RADS.
• Significant improvements in sensitivity, specificity, and accuracy were observed with the ORADS-ADC model for both O-RADS 3-4 and 4-5 categories.

Conclusions:

• Incorporating DWI and ADC measurements into the O-RADS MRI system substantially improves ovarian tumor classification.
• The ORADS-ADC model significantly enhances diagnostic accuracy, sensitivity, and specificity.
• Improved classification facilitates better clinical and therapeutic management, leading to enhanced patient outcomes.