Comparison of the risk of ovarian malignancy algorithm and Copenhagen Index for the preoperative assessment of Japanese women with ovarian tumors.

Makoto IizukaYoshinobu HamadaJun MatsushimaTeppei IchikawaTaichi IrieNoriko YamaguchiShuichi SakamotoShinichi BanSatoshi Takakura

Published in: The journal of obstetrics and gynaecology research (2023)

ROMA and CPH-I performed comparably well and better than CA125 in distinguishing EOC from BeOT in Japanese women. ROMA and CHP-I should be used with caution in practical situations, where all histological possibilities for must be considered, because the SNs of ROMA and CPH-I were only 54% and 55%.

Keyphrases

machine learning
polycystic ovary syndrome
patients undergoing
deep learning
pregnant women
cervical cancer screening
protein kinase
insulin resistance
clinical evaluation
breast cancer risk