Oral

Oral
Breast

Fri. Sep 10, 2021 11:10 AM - 11:50 AM Room 2 (PACIFICO Yokohama North, 1F, G1)

Chairs: Toshiki Kazama（Tokai University School of Medicine）, Yoshihide Kanemaki（Breast & Imaging center ST. marianna university school of medicine）

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[O1-001] Prediction of PD-L1 expression among triple negative breast cancer using texture analysis of high-resolution MRI

^○Kurumi Masui¹, Maya Honda², Masako Kataoka³, Yasuhiro Fukushima⁴, Rie Ota³, Mami Iima^3,7, Kanae Miyake³, Yousuke Yamada⁵, Masakazu Toi⁶, Yuji Nakamoto³ (1.Faculty of Medicine, Kyoto University, 2.Department of Diagnostic Radiology, Kansai Electric Power Hospital, 3.Department of Diagnostic Imaging and Nuclear Medicine, Graduate school of Medicine, Kyoto University, 4.Department of Applied Medical Imaging, Graduate School of Medicine, Gunma University, 5.Department of Pathology, Kyoto University Hospital, 6.Department of Surgery, Kyoto University Hospital, 7.Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital)

[O1-002] Apparent diffusion distance reveals breast tumor microstructure in vivo

^○Mami Iima^1,2, Masako Kataoka¹, Maya Honda^1,4, Ayami Ohno^1,5, RIe Ota¹, Akane Ohashi^1,6, Yuta Urushibata³, Masakazu Toi⁷, Yuji Nakamoto¹ (1.Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto University, 2.Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, Kyoto, Japan, 3.Siemens Healthcare K.K., Tokyo, Japan, 4.Radiology department, Kansai Electric Power Hospital, Osaka, Japan, 5.Radiology department, Kyoto-Katsura Hospital, Kyoto, Japan, 6.Radiology department, National Kyoto Hospital, Kyoto, Japan, 7.Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan)

[O1-003] Effect of contrast agent on the measurement of breast fatty acid composition (FAC) using 2D-multipoint DIXON MRI

^○Kentaro Yamamura¹, M Goto², Hiroyasu Ikeno¹, Koji Sakai², Hiroshi Imai³, Toshiaki Nakagawa¹, Kei Yamada² (1.Department of Ragiology, University Hospital, Kyoto Prefectual University of Medicine, 2.Department of Ragiology, Kyoto Prefectural University of Medicine, 3.Siemens Healthcare K.K.)

[O1-004] Quantitative MRI and breast cancer subtypes

^○Toshiki Kazama¹, Taro Takahara², Noriko Nakamura¹, Nobue Kumaki³, Naoki Niikura⁴, Tetsu Niwa¹, Jun Hashimoto¹ (1.Department of Diagnostic Radiology, Tokai University School of Medicine, 2.Department of Biomedical Engineering, Tokai University School of Engineering, 3.Department of Pathology, Tokai University School of Medicine, 4.Department of Breast and Endocrine Surgery, Tokai University School of Medicine)