Hoshiai S

No ORCID on file · 4 papers in corpus · active 2022-2025
2025
Japanese journal of radiology ·doi:10.1007/s11604-025-01750-4

ObjectivesTo investigate the frequency and patterns of calcification in ovarian tumours and evaluate their association with various histological types and malignancy grades.MethodsThis retrospective study included patients who underwent non…

2024
Japanese journal of radiology ·doi:10.1007/s11604-023-01518-8

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…

2022
Cancers ·doi:10.3390/cancers14040987

BackgroundThis study aimed to compare deep learning with radiologists' assessments for diagnosing ovarian carcinoma using MRI.MethodsThis retrospective study included 194 patients with pathologically confirmed ovarian carcinomas or borderli…

2022
Polish journal of radiology ·doi:10.5114/pjr.2022.119806

PurposeTo 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 methodsThis retrospective study include…