Hiroto Hakamada
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Explore the profile of Hiroto Hakamada including associated specialties, affiliations and a list of published articles.
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Articles
17
Citations
185
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0
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Recent Articles
1.
Takumi K, Hakamada H, Nagano H, Nakanosono R, Kanzaki F, Nakajo M, et al.
Eur J Radiol
. 2025 Feb;
184:111978.
PMID: 39923595
Purpose: To assess the postoperative prognostic utility of extracellular volume (ECV) fraction measurement using equilibrium contrast-enhanced CT (CECT) in patients with thymomas. Methods: Enrolled in the study were patients with...
2.
Takumi K, Nakanosono R, Nagano H, Hakamada H, Kanzaki F, Kamimura K, et al.
Jpn J Radiol
. 2024 May;
42(9):983-992.
PMID: 38733471
Purpose: To determine whether synthetic MR imaging can distinguish between benign and malignant salivary gland lesions. Methods: The study population included 44 patients with 33 benign and 11 malignant salivary...
3.
Kamimura G, Ueda K, Suzuki S, Maeda K, Hakamada H, Sato M
Quant Imaging Med Surg
. 2022 Feb;
12(2):1281-1289.
PMID: 35111623
Background: During sublobar resection for small, indistinct lung cancer, surgeons may be uncertain as to whether or not the target lesion has been resected and the surgical margin is sufficient....
4.
Takumi K, Hakamada H, Nagano H, Fukukura Y, Kumagae Y, Sakai O, et al.
Jpn J Radiol
. 2020 Nov;
39(4):324-332.
PMID: 33215300
Purpose: To evaluate the usefulness of dual-energy analyses using dual-layer spectral CT (DLSCT) for diagnosing recurrent lesions of head and neck squamous cell carcinoma (HNSCC). Materials And Methods: The study...
5.
Fukukura Y, Kumagae Y, Higashi R, Hakamada H, Nagano H, Hidaka S, et al.
Pancreatology
. 2020 Aug;
20(6):1155-1163.
PMID: 32800574
Background: Pancreatic ductal adenocarcinoma (PDAC) has substantial heterogeneity in biophysical features and in outcomes of patients. Identifying reliable pretreatment imaging biomarkers for PDAC with distant metastases (stage IV) is a...
6.
Fukukura Y, Kumagae Y, Higashi R, Hakamada H, Nakajo M, Maemura K, et al.
Eur Radiol
. 2019 Nov;
30(3):1679-1689.
PMID: 31728691
Objectives: To evaluate the feasibility of equilibrium contrast-enhanced dual-energy CT (DECT), as compared with single-energy CT (SECT) and to calculate extracellular volume (ECV) fraction to predict the survival outcomes of...
7.
Fukukura Y, Kumagae Y, Higashi R, Hakamada H, Nakajo M, Maemura K, et al.
Pancreas
. 2019 Nov;
48(10):1360-1366.
PMID: 31688602
Objective: This study aimed to determine whether extracellular volume (ECV) fraction with routine equilibrium contrast-enhanced computed tomography (CT) can predict outcomes in patients with stage IV pancreatic ductal adenocarcinoma (PDAC)...
8.
Takumi K, Fukukura Y, Hakamada H, Nagano H, Kumagae Y, Arima H, et al.
Jpn J Radiol
. 2019 Mar;
37(5):380-389.
PMID: 30863971
Purpose: To describe CT features of parathyroid carcinomas (PCs) by comparison with benign parathyroid lesions (BPs). Methods: This retrospective study comprised 82 patients with 76 BPs (62 adenomas and 14...
9.
Fukukura Y, Kumagae Y, Hirahara M, Hakamada H, Nagano H, Nakajo M, et al.
Abdom Radiol (NY)
. 2019 Mar;
44(4):1246-1255.
PMID: 30815714
Purpose: The purpose of this case series was to describe computed tomography (CT) and magnetic resonance imaging (MRI) features of undifferentiated carcinoma with osteoclast-like giant cells of the pancreas. Methods:...
10.
Iwanaga T, Fukukura Y, Saito T, Sasaki M, Kumagae Y, Takumi K, et al.
J Magn Reson Imaging
. 2018 Aug;
49(2):565-573.
PMID: 30102432
Background: Diffusion-weighted imaging (DWI) has been used for the detection and characterization of liver tumors because it has excellent contrast resolution. DWI using short tau inversion recovery (STIR) can improve...