Baihua Zhao
ORCID: 0000-0001-7185-292X
· 4 papers in corpus
PURPOSE: This study aimed to construct a simple nomogram model to predict the benign or malignant nature of ovarian masses. METHODS: A total of 794 patients with ovarian masses from two independent medical centers between 2017 and 2024 wer…
Endometrial cancer arising in adenomyosis (EC-AIA), i.e., malignant transformation of the endometrium within adenomyotic foci, is a very unusual condition. We report a postmenopausal woman who had an unexpected diagnosis of uterine serous c…
BACKGROUND: This study aimed to compare the diagnostic efficiency of Ovarian-Adnexal Reporting and Data System (O-RADS) and doctors' subjective judgment in diagnosing the malignancy risk of adnexal masses. METHODS: This was an analysis of …