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ray photo- graph (over 100,000 sheets) published at NIH In order to prepare for the development of the environment of computer hardware and software for artificial intelligence develop- ment.

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Research Center for Medical Sciences Division of Ultrasound Device Development and Application (DOUDA)

Norio Nakata, Director and Associate Professor Zuojun Wang, Assistant Professor

Research Activities Education/Research outline

1. Development of decision supporting system of breast ultrasound using deep learning The purpose of this study is to develop decision supporting system of breast ultrasonogra- phy using deep learning which is one of machine learning techniques. The goal of this system is a classification tool between benign and malignant breast mass lesions. For this study, at least 1,000 cases of supervised data sets including breast ultrasound images and pathologic diagnosis results are required. This study has already approved by the Jikei University Ethics Committee. We are preparing the installation of the deep learning pro- gram and the experiment of AI tests. Improvement of diagnostic efficiency of breast ultra- sound diagnostic radiologists is expected by this study.

2. Improvement of computer hardware and software environment for AI development In Japan Agency for Medical Research and Development (AMED) 2017: “Clinical research etc. ICT infrastructure building · Artificial intelligence implementation research project” Adoption of secondary public offering (medical productivity revolution realiza- tion project), utilization of artificial intelligence (Research Representative: Masatoshi Kudo, President of the Japan Society of Ultrasonic Medicine), Norio Nakata, MD has developed ultrasound image processing and prototype diagnosis support as research con- tributors. In this first year, as a study of AI transfer learning effect using images of other areas, we developed an AI algorithm for judging chest disease using chest X

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ray photo- graph (over 100,000 sheets) published at NIH In order to prepare for the development of the environment of computer hardware and software for artificial intelligence develop- ment.

3. Education and awareness activities to promote AI utilization in diagnostic radiology In the Japan Society of Ultrasonic Medicine and the Japan Radiological Society, we con- ducted education and awareness activities to explain the future of AI utilization to the near future imaging support and its principle to academic members (ultrasonic specialists and radiologists). Norio Nakata wrote and published its contents in the Journal of the Jap- anese Society of Nephrology and the Journal of Medical Image Information Society.

4. In vitro study on method of fast reopening of acute occluded vessels with ultrasound and microbubbles

Early reopening of occluded blood vessels is the most effective treatment for acute cere- bral infarction. It has already been proved that transcranial ultrasound or its combination with microbubbles can promote thrombolytic efficiency of recombinant tissue type plas- minogen activator (rt

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PA). However, clinically failed cases of thrombolytic therapy fre-

Research Activities 2017 The Jikei University School of Medicine

東京慈恵会医 科大学

電子署名者 : 東京慈恵会医科大学

DN : cn=東京慈恵会医科大学, o, ou, email=libedit@jikei.ac.jp, c=JP

日付 : 2019.01.09 15:47:31 +09'00'

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quently occurred in completely occluded cerebral arteries, the cause of which is thought to be that rt

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PA itself is hard to reach the thrombus site when blood flow is completely stopped. We theoretically examined and demonstrated that the combined use of ultra- sound and microbubbles may have the effect of transporting rt

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PA over a long distance, in addition to its local promoting action on rt

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PA thrombolysis. In this study, we are con- ducting research on the existence and amplitude of this transportation effect and its rela- tionship with various parameters of ultrasound through in vitro experiments.

5. Study on prevention method of vascular re

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occlusion by ultrasound

Re

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occlusion of blood vessels occurs frequently after thrombolytic therapy with intrave- nous rt

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PA. Because anticoagulation therapy is prohibited within 24 hours after rt

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PA treatment, vascular reocclusion is a fatal problem. Together with Lecturer Sawaguchi (Faculty of Biomedical Engineering, Toin University of Yokohama), we are conducting research on the thrombus growth control effect of noninvasive ultrasound with an in vitro clot growth model. This study showed that noninvasive ultrasound irradiation can control thrombus growth. It is considered that safe and simple ultrasonic irradiation can be used to prevent re

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occlusion after rt

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PA treatment for acute cerebral infarction. Further advanced basic researches are being conducted toward clinical application.

Inspection and Evaluation

The research presentations and scientific papers are listed as follows.

Publications

Wang Z, Sawaguchi Y, Hirose H, Ohara K, Sakamoto S, Mitsumura H, Ogawa T, Iguchi Y, Yokoyama M. An In Vitro Assay for Sonothrom- bolysis Based on the Spectrophotometric Mea- surement of Clot Thickness. J Ultrasound Med.

2017; 36: 681-98.

Wang Z, Komatsu T, Mitsumura H, Nakata N, Ogawa T, Iguchi Y, Yokoyama M. An uncovered risk factor of sonothrombolysis: Substantial fluctu- ation of ultrasound transmittance through the human skull. Ultrasonics. 2017; 77: 168-75.

Shiraishi K, Wang Z, Kokuryo D, Aoki I, Yokoyama M. A polymeric micelle magnetic reso- nance imaging (MRI) contrast agent reveals blood- brain barrier (BBB) permeability for macromole- cules in cerebral ischemia-reperfusion injury. J Control Release. 2017; 253: 165-71.

Wang Z, Yokoyama M, Nakata N, Sawaguchi K. Quantitative Evaluation of Thrombolysis Enhancing Effect in Vitro of Ultrasound Combined with Microbubbles. Ultrasonic Technology. 2017;

29: 72-7.

Research Activities 2017 The Jikei University School of Medicine

参照

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