The Ovarian-Adnexal Reporting and Data System (O-RADS) US risk stratification and
management system is designed to provide consistent interpretations, to decrease or …

ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis
of external validation studies - PMC Back to Top Skip to main content NIH NLM Logo Access …

Objective To evaluate the performance of diagnostic prediction models for ovarian
malignancy in all patients with an ovarian mass managed surgically or conservatively …

Purpose To investigate whether initial diagnostic laparoscopy can prevent futile primary
cytoreductive surgery (PCS) by identifying patients with advanced-stage ovarian cancer in …

Subjective ultrasound assessment by an expert examiner is meant to be the best option for
the differentiation between benign and malignant adnexal masses. Different ultrasound …

Objective This study aimed to compare the ability of the O-RADS and ADNEX models to
classify benign or malignant adnexal lesions. Methods This retrospective single-center study …

Despite the implementation of radical surgical approaches and the focus on development of
new targeted therapy, the prognosis for patients with ovarian cancer has hardly improved …

Ovarian cancer, the fifth most common cause of cancer death among women, has the
highest mortality rate of all gynecologic cancers. General survival rate is< 50% but can reach …

Objective To evaluate the diagnostic accuracy of the International Ovarian Tumor Analysis
(IOTA) Assessment of Different NEoplasias in the adneXa (ADNEX) model in the …

Purpose To develop and evaluate the performance of a radiomic and machine learning
model applied to ultrasound images in predicting the risk of malignancy of ovarian masses …