Masahiro Kuroda
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About
Masahiro Kuroda is a Professor at the Graduate School of Health Sciences, Okayama University, Japan. His research focuses on the application of machine learning and advanced imaging techniques in oncology, particularly in improving diagnostic precision for head and neck tumors and breast cancer radiation therapy. Recent publications highlight his work on diffusion kurtosis imaging, modeling heart dose predictions, and assessing treatment outcomes for non-small cell lung cancer.
Recent Grants
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Development of clinical MRI software for quantitative analysis of intra-tumor apoptosis and its clinical trial
Open Date: 2019-04-01
Close Date: 2024-03-31
Grant: Close
Development of a new molecular image analysis method for quantitative evaluation of intratumoral apoptosis
Open Date: 2015-04-01
Close Date: 2019-03-31
Grant: Close
An establishment of the novel molecular imaging technique for the quantitative evaluation of the intra-tumoral apoptosis
Open Date: 2010-04-01
Close Date: 2014-03-31
Grant: Close
Development of No Induction Stent That Visualizes in Stent Lumen in MR Imaging
Open Date: 2007-01-01
Close Date: 2009-12-31
Grant: Close
ラジオ波焼灼療法と樹状細胞移植を併用する新しい悪性腫瘍の集学的治療法の開発
Open Date: 2003-01-01
Close Date: 2005-12-31
Articles (14)
Year:
2025
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2025
Year:
2024
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2023
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2023
Year:
2023
We evaluated the usefulness of simple diffusion kurtosis (SD) imaging, which was developed to generate diffusion kurtosis images simultaneously with an apparent diffusion coefficient (ADC) map for 27 cystic disease lesions in the head and neck region. The mean kurtosis (MK) and ADC values were calculated for the cystic space. The MK values were dentigerous cyst (DC): 0.74, odontogenic keratocyst (OKC): 0.86, ranula (R): 0.13, and mucous cyst (M): 0, and the ADC values were DC: 1364 × 10−6 mm2/s, OKC: 925 × 10−6 mm2/s, R: 2718 × 10−6 mm2/s, and M: 2686 × 10−6 mm2/s. The MK values of DC and OKC were significantly higher than those of R and M, whereas their ADC values were significantly lower. One reason for the characteristic signal values in diffusion-weighted images of DC may be related to content components such as fibrous tissue and exudate cells. When imaging cystic disease in the head and neck region using SD imaging, the maximum b-value setting at the time of imaging should be limited to approximately 1200 s/mm2 for accurate MK value calculation. This study is the first to show that the MK values of DC are characteristically higher than those of other cysts.
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2023
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2021
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2021
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2021
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2021
Year:
2021
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2020
Year:
2020
Collaborators (7)
Kohei Sugimoto
Assistant Professor
Kawasaki University of Medical Welfare
Yoshihide Nakamura
Okayama University
Yoshinobu YANAGI
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yoshinori tanabe
Okayama University
Miki Hisatomi
Okayama University Hospital
Junichi Asaumi
Okayama University
Masataka Oita
Associate Professor
Okayama University
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