Masayuki Yamaguchi
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About
Masayuki Yamaguchi is a Section Head at the National Cancer Center Hospital East in Japan. His research focuses on advanced imaging techniques and their application in oncology, particularly in pancreatic cancer and chondrosarcoma. Recent publications include studies on integrin-targeted MRI, tumor microenvironment remodeling, and biomarkers for cancer assessment.
Recent Grants
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MR Visualization of Treatment Margings Surrouding Liver Cancer in Radiotherapy
Open Date: 2016-04-01
Close Date: 2019-03-01
Grant: Close
Development of computer-aided diagnosis software for assessing tumor response to molecular trageted therapy by using a novle machine learning technique named CARTA
Open Date: 2013-04-01
Close Date: 2017-03-01
Grant: Close
Development of a new MRI diagnostic system for seminiferous tubule morphology utilizing for male infertility treatment
Open Date: 2010-04-01
Close Date: 2012-03-01
Grant: Close
A new strategy in the prophylaxis against testicular dysfunction after cancer chemotherapy aided by high field MRI and MRS
Open Date: 2007-04-01
Close Date: 2009-03-01
Articles (10)
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Background Dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) can provide insight into tumor perfusion. However, a method that can quantitatively measure the intra‐tumor distribution of tumor voxel clusters with a distinct range of K trans and v e values remains insufficiently explored. Hypothesis Two‐dimensional cluster analysis may quantify the distribution of a tumor voxel subregion with a distinct range of K trans and v e values in human breast cancer xenografts. Study Type Prospective longitudinal study. Animal Model Twenty‐two female athymic nude mice with MCF‐7 xenograft, treated with E7130, a tumor‐microenvironmental ameliorator, or saline. Field Strength/Sequence 9.4 Tesla, turbo rapid acquisition with relaxation enhancement, and spoiled gradient‐echo sequences. Assessment We performed two‐dimensional k ‐means clustering to identify tumor voxel clusters with a distinct range of K trans and v e values on Days 0, 2, and 5 after treatment, calculated the ratio of the number of tumor voxels in each cluster to the total number of tumor voxels, and measured the normalized distances defined as the ratio of the distance between each tumor voxel and the nearest tumor margin to a tumor radius. Statistical Tests Unpaired t ‐tests, Dunnett's multiple comparison tests, and Chi‐squared test were used. Results The largest and second largest clusters constituted 44.4% and 27.5% of all tumor voxels with cluster centroid values of K trans at 0.040 min −1 and 0.116 min −1 , and v e at 0.131 and 0.201, respectively. At baseline (Day 0), the average normalized distances for the largest and second largest clusters were 0.33 and 0.24, respectively. E7130‐treated group showed the normalized distance of the initial largest cluster decreasing to 0.25, while that of the second largest cluster increasing to 0.31. Saline‐treated group showed no change. Data Conclusion A two‐dimensional cluster analysis might quantify the spatial distribution of a tumor subregion with a distinct range of K trans and v e values. Level of Evidence 1 Technical Efficacy Stage 1
Year:
2022
Year:
2022
Year:
2020
Collaborators (5)
Yasuhiko Terada
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Makoto Nakagawa
Duke University
Kyohei Okubo
Assistant Professor
Tokyo Institute of Technology
TOMOYUKI HAISHI
professor
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Masao Kamimura
Associate Professor
University of Tokyo
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