Hoshiai S
No ORCID on file
· 4 papers in corpus
observational
2025
OBJECTIVES: To investigate the frequency and patterns of calcification in ovarian tumours and evaluate their association with various histological types and malignancy grades. METHODS: This retrospective study included patients who underwe…
review
2024
This review focuses on inflammatory diseases of female and male genital organs and discusses their epidemiology, pathogenesis, clinical presentation, and imaging findings. The female section covers pelvic inflammatory disease (PID) primaril…
diagnostic-accuracy
2022
BACKGROUND: This study aimed to compare deep learning with radiologists' assessments for diagnosing ovarian carcinoma using MRI. METHODS: This retrospective study included 194 patients with pathologically confirmed ovarian carcinomas or bo…
diagnostic-accuracy
2022
PURPOSE: To verify whether deep learning can be used to differentiate between carcinosarcomas (CSs) and endometrial carcinomas (ECs) using several magnetic resonance imaging (MRI) sequences. MATERIAL AND METHODS: This retrospective study i…