Masafumi Sakai

ORCID: 0000-0002-5048-992X · 8 papers in corpus
observational 2025
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine ·doi:10.2463/mrms.mp.2024-0064

PURPOSE: This study aimed to compare MRI findings among benign, borderline, and malignant ovarian seromucinous neoplasms. METHODS: We retrospectively analyzed MRI data from 24 patients with ovarian seromucinous neoplasms-seven benign, thir…

observational 2025
Japanese journal of radiology ·doi:10.1007/s11604-025-01750-4

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…

diagnostic-accuracy 2025
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine ·doi:10.2463/mrms.mp.2024-0048

PURPOSE: To assess the utility of apparent diffusion coefficient maps (ADC) for diagnosing myometrial invasion (MI) in endometrial cancer (EC). METHODS: This retrospective study included 164 patients (mean age, 56 years; range, 25-89 years…

diagnostic-accuracy 2024
Polish journal of radiology ·doi:10.5114/pjr/189487

PURPOSE: To compare the diagnostic performance of virtual monoenergetic imaging (VMI), computed tomography (CT), and magnetic resonance imaging (MRI) in patients with endometrial cancer (EC). MATERIAL AND METHODS: This retrospective study …

review 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…

diagnostic-accuracy 2022
Cancers ·doi:10.3390/cancers14040987

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

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…

other 2020
Japanese journal of radiology ·doi:10.1007/s11604-020-01072-7

PURPOSE: To clarify imaging and clinical characteristics of ovarian carcinosarcoma (CS) compared with high-grade serous carcinoma (HGSC). METHODS: We retrospectively reviewed MR imagings of 12 patients with CS and 30 patients with HGSC and…