Takahito Nakajima

No ORCID on file · 7 papers in corpus · active 2022-2026

Study types

  • article 1
  • other 1

Condition tags

  • endometriosis 2
2026
Japanese journal of radiology ·doi:10.1007/s11604-025-01897-0

Cervical cancer remains a major cause of mortality among women worldwide, highlighting the need for advances in diagnostic and therapeutic strategies. This review provides a comprehensive overview of recent developments in histopathological…

other 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…

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

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

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

PurposeTo 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 methodsThis retrospective study analys…

2024
Radiology case reports ·doi:10.1016/j.radcr.2024.08.009

Arterioportal fistula (APF) combined with a visceral artery pseudoaneurysm is an exceptionally rare and critical vascular disorder of the abdominal viscera, with pseudoaneurysm rupture being potentially fatal and severe APF leading to porta…

article 2023
Insights into imaging ·doi:10.1186/s13244-023-01468-9

BACKGROUND: Preoperative assessment of the histological type of ovarian cancer is essential to determine the appropriate treatment strategy. Tumor location may be helpful in this regard. The purpose of this study was to compare the position…

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…