A new algorithm to assess the risk of malignancy in premenopausal patients with pelvic mass

• Main Authors: M. S. Katsyuba (Author), R. Sh. Khasanov (Author), T. I. Madzhidov (Author), G. Z. Muratova (Author), G. A. Usmanova (Author), A. F. Akhmetzyanova (Author), A. Rakhimbekova (Author), V. V. Terentyeva (Author), G. R. Fakhrutdinova (Author)
• Format: Book
• Published: ABV-press, 2022-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Objective: to elaborate a new algorithm, based on serum CA125, HE4 and age, to assess the risk of malignancy in premenopausal patients with pelvic mass, which performs better than Risk of Ovarian Malignancy Algorithm (ROMA).Materials and methods. The training dataset included 284 premenopausal patie...