Key takeaways:
- 4 adnexal mass classification algorithms efficiently distinguished lesions when utilized by a novice operator.
- A two-step technique carried out higher than O-RADS algorithms.
MINNEAPOLIS — 4 generally used adnexal mass classification algorithms efficiently recognized lesions as benign or malignant when utilized by a novice operator, based on knowledge introduced on the ACOG Annual Medical & Scientific Assembly.
“Adnexal lots are frequent incidental findings of pelvic ultrasound. Most of them are benign, however roughly 20% of them are malignant cancers,” Luigi A. De Vitis, MD, a gynecologic oncologist fellow at the School of Medication and Science at Mayo Clinic, mentioned in the course of the presentation. “Each further enhancement in detection and remedy of suspicious lesions in gynecologic oncology facilities considerably improves prognosis and, alternatively, figuring out lesions that don’t require surgical procedure reduces affected person publicity to pointless dangers and bills.”
Adnexal mass classification algorithms efficiently recognized lesions as benign or malignant, even when utilized by a novice operator. Picture: Adobe Inventory
De Vitis and colleagues recognized 556 girls with adnexal lots who have been handled at Mayo Clinic in Rochester, Minnesota in 2019. A nonexpert operator categorised every lesion utilizing the Evaluation of Totally different Neoplasias within the Adnexa (ADNEX), a two-step technique with benign descriptors adopted by ADNEX, Ovarian-Adnexal Reporting and Knowledge System (O-RADS) 2019 and O-RADS 2022.
The first final result was the world beneath the receiver working attribute curve (AUC) among the many classification algorithms.
General, 452 girls had benign and 104 had malignant adnexal lots. The AUC was:
- 0.9 (95% CI, 0.87-0.94) for ADNEX;
- 0.91 (95% CI, 0.88-0.94) for the two-step technique;
- 0.88 (95% CI, 0.84-0.91) for O-RADS 2019; and
- 0.88 (95% CI, 0.84-0.91) for O-RADS 2022.
The 2-step technique outperformed O-RADS 2019 and O-RADS 2022, however the “distinction was not clinically significant,” De Vitis mentioned.
The noticed malignant lesion fee for all algorithms ranged from 1.9% to 2.2% amongst lesions that have been characterised as “nearly actually benign,” which was nearly double the anticipated fee of lower than 1%, based on De Vitis and colleagues. As well as, of the lesions that have been wrongly categorised as nearly actually benign, 4 have been borderline tumors and three have been metastases.
“Though these fashions can be utilized as a triage system in referral facilities, we strongly recommend use in peripheral facilities the place consultants are usually not accessible to make use of this mannequin to finally improve ovarian most cancers detection and hopefully enhance affected person outcomes,” De Vitis mentioned.
