Note: see Table 1 Distribution of age in years, morphology index ultrasound score, and serum CA125 level among patients with benign and malignant adnexal masses
Objective
Accurate preoperative estimates of the probability of malignancy in women with adnexal masses are essential for ensuring optimal care. This study presents a new statistical model for combining predictive information and a graphic decision support tool for calculating risk of malignancy.Research Highlights
►This study presents a statistical model for measuring probability of ovarian cancer.
►Model includes age, ultrasound score, CA125 value, and nonlinearity adjustments.
►Excellent discrimination and calibration are obtained across the probability range.
"The nomogram developed in this study is not ready for clinical use, because it reflects the experience of a single institution. Further research using data from multiple institutions is required to develop a final model. However, these results demonstrate that accounting for non-linearity in the effects of age and CA125 yields better estimates of malignancy risk. Utilization of similar models in the treatment decision making process could reduce unnecessary referrals and increase appropriate referrals for women with masses identified pre-operatively as suspicious for malignancy."
►Model includes age, ultrasound score, CA125 value, and nonlinearity adjustments.
►Excellent discrimination and calibration are obtained across the probability range.
"The nomogram developed in this study is not ready for clinical use, because it reflects the experience of a single institution. Further research using data from multiple institutions is required to develop a final model. However, these results demonstrate that accounting for non-linearity in the effects of age and CA125 yields better estimates of malignancy risk. Utilization of similar models in the treatment decision making process could reduce unnecessary referrals and increase appropriate referrals for women with masses identified pre-operatively as suspicious for malignancy."
