Performance of IOTA Simple Rules Risks, ADNEX Model, Subjective Assessment Compared to CA125 and HE4 with ROMA Algorithm in Discriminating between Benign, Borderline and Stage I Malignant Adnexal Lesions.

Artur Czekierdowski Norbert StachowiczAgata SmolenTomasz ŁozińskiPaweł GuzikTomasz Kluz

Published in: Diagnostics (Basel, Switzerland) (2023)

This study demonstrates the limited value of diagnostics based on CA125 and HE4 serum tumor markers and the ROMA algorithm as independent modalities for the detection of BOTs and early stage adnexal malignant tumors in women. SA and IOTA methods based on ultrasound examination may present superior value over tumor marker assessment.

Keyphrases

early stage
machine learning
deep learning
magnetic resonance imaging
polycystic ovary syndrome
protein kinase
type diabetes
neural network
squamous cell carcinoma
metabolic syndrome
computed tomography
risk assessment
sleep quality
breast cancer risk