Hongyan Tian

ORCID: 0000-0002-6382-0036 · 7 papers in corpus
diagnostic-accuracy 2025
Insights into imaging ·doi:10.1186/s13244-024-01874-7

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…

meta-analysis 2025
BMC pregnancy and childbirth ·doi:10.1186/s12884-025-08323-3

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…

diagnostic-accuracy 2024
Frontiers in oncology ·doi:10.3389/fonc.2024.1377489

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…

diagnostic-accuracy 2024
Frontiers in medicine ·doi:10.3389/fmed.2024.1362588

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 …

meta-analysis 2023
·doi:10.1097/aog.0000000000005080

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…

meta-analysis 2023
Obstetrics and gynecology ·doi:10.1097/AOG.0000000000005080

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…

diagnostic-accuracy 2022
Cancers ·doi:10.3390/cancers14225631

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…