OBJECTIVE: To develop an automatic segmentation model to delineate the adnexal masses and construct a machine learning model to differentiate between low malignant risk and intermediate-high malignant risk of adnexal masses based on ovarian…
OBJECTIVE: To systematically review studies on reproductive outcomes following fertility-sparing interventions. METHODS: Various electronic databases were searched and studies reporting reproductive outcomes following fertility-sparing int…
BACKGROUND: Accurate and rapid discrimination between benign and malignant ovarian masses is crucial for optimal patient management. This study aimed to establish an ultrasound image-based nomogram combining clinical, radiomics, and deep tr…
BACKGROUND: Accurately differentiating between ovarian endometrioma and ovarian dermoid cyst is of clinical significance. However, the ultrasound appearance of these two diseases is variable, occasionally causing confusion and overlap with …
OBJECTIVE: To evaluate the risk of recurrence and reintervention after uterine-sparing treatment options for symptomatic adenomyosis, including adenomyomectomy, uterine artery embolization (UAE), and image-guided thermal ablation. DATA SOUR…
OBJECTIVE: To evaluate the risk of recurrence and reintervention after uterine-sparing treatment options for symptomatic adenomyosis, including adenomyomectomy, uterine artery embolization (UAE), and image-guided thermal ablation. DATA SOU…
Objectives: We were the first to combine IETA ultrasonic features with GI-RADS and tumor biomarkers for the surveillance of endometrial carcinoma. The aim was to evaluate the efficacy of single IETA ultrasonography GI-RADS classification an…