医学部附属病院

研究キーワード

脊椎 ,脊髄 ,脊髄損傷 ,脊髄腫瘍 ,後縦靭帯骨化症 ,頚椎症性脊髄症 ,頚椎椎間板ヘルニア ,転移性骨腫瘍 ,転移性脊椎腫瘍 ,薬事行政 ,再生医療 ,細胞移植 ,癒着性くも膜炎

研究分野

ライフサイエンス / 整形外科学 / 脊椎脊髄病学

経歴

12 3 >

2018年4月

-

現在

千葉大学医学部附属病院整形外科講師

2016年4月

-

2018年3月

千葉大学大学院医学研究院整形外科学助教

2013年1月

-

2016年3月

千葉大学医学部附属病院整形外科助教

2012年8月

-

2012年12月

千葉大学大学院医学研究院整形外科学特任助教

2011年4月

-

2012年7月

千葉大学医学部附属病院整形外科医員

学歴

2005年4月

-

2009年3月

千葉大学大学院医学薬学府博士課程（先進医療科学専攻）

1994年4月

-

2001年3月

新潟大学医学部医学科

受賞

2014年12月

千葉医学会, 第1304回千葉医学会整形外科例会臨床部門最優秀論文賞

2013年10月

日本脊椎インストゥルメンテーション学会, 第22回日本脊椎インストゥルメンテーション学会ベストペーパー賞

2008年12月

千葉医学会, 第1173回千葉医学会整形外科例会最優秀論文賞

2007年12月

千葉医学会, 第1150回千葉医学会整形外科例会最優秀論文賞

論文

<5 678 9 >

Effects of Dementia on Outcomes after Cervical Spine Injuries in Elderly Patients: Evaluation of 1512 Cases in a Nationwide Multicenter Study in Japan.

Yohei Yamada Noriaki Yokogawa Satoshi Kato Takeshi Sasagawa Hiroyuki Tsuchiya Hiroaki Nakashima Naoki Segi Sadayuki Ito Toru Funayama Fumihiko Eto Akihiro Yamaji Junichi Yamane Satoshi Nori Takeo Furuya Atsushi Yunde Hideaki Nakajima Tomohiro Yamada Tomohiko Hasegawa Yoshinori Terashima Ryosuke Hirota Hidenori Suzuki Yasuaki Imajo Shota Ikegami Masashi Uehara Hitoshi Tonomura Munehiro Sakata Ko Hashimoto Yoshito Onoda Kenichi Kawaguchi Yohei Haruta Nobuyuki Suzuki Kenji Kato Hiroshi Uei Hirokatsu Sawada Kazuo Nakanishi Kosuke Misaki Hidetomi Terai Koji Tamai Akiyoshi Kuroda Gen Inoue Kenichiro Kakutani Yuji Kakiuchi Katsuhito Kiyasu Hiroyuki Tominaga Hiroto Tokumoto Yoichi Iizuka Eiji Takasawa Koji Akeda Norihiko Takegami Haruki Funao Yasushi Oshima Takashi Kaito Daisuke Sakai Toshitaka Yoshii Tetsuro Ohba Bungo Otsuki Shoji Seki Masashi Miyazaki Masayuki Ishihara Seiji Okada Shiro Imagama Kota Watanabe

Journal of clinical medicine 12(5) 2023年2月

We aimed to retrospectively investigate the demographic characteristics and short-term outcomes of traumatic cervical spine injuries in patients with dementia. We enrolled 1512 patients aged ≥ 65 years with traumatic cervical injuries registered i...

Residual Neuropathic Pain in Postoperative Patients With Cervical Ossification of Posterior Longitudinal LigamentRisk Factors for Residual Neuropathic Pain.

Masayuki Miyagi Gen Inoue Toshitaka Yoshii Satoru Egawa Kenichiro Sakai Kazuo Kusano Yukihiro Nakagawa Takashi Hirai Kanichiro Wada Keiichi Katsumi Atsushi Kimura Takeo Furuya Narihito Nagoshi Tsukasa Kanchiku Yukitaka Nagamoto Yasushi Oshima Hiroaki Nakashima Kei Ando Masahiko Takahata Kanji Mori Hideaki Nakajima Kazuma Murata Shunji Matsunaga Takashi Kaito Kei Yamada Sho Kobayashi Satoshi Kato Tetsuro Ohba Satoshi Inami Shunsuke Fujibayashi Hiroyuki Katoh Haruo Kanno Masao Koda Hiroshi Takahashi Shinsuke Ikeda Shiro Imagama Yoshiharu Kawaguchi Katsushi Takeshita Morio Matsumoto Masashi Takaso Atsushi Okawa Masashi Yamazaki

Clinical spine surgery 2023年2月

STUDY DESIGN: A prospective multi-institutional observational study. OBJECTIVE: To investigate and identify risk factors for residual neuropathic pain after surgery in patients with cervical ossification of posterior longitudinal ligament (c-OPLL)...

Differentiating Magnetic Resonance Images of Pyogenic Spondylitis and Spinal Modic Change Using a Convolutional Neural Network.

Tomohito Mukaihata Satoshi Maki Yawara Eguchi Kim Geundong Junpei Shoda Hajime Yokota Sumihisa Orita Yasuhiro Shiga Kazuhide Inage Takeo Furuya Seiji Ohtori

Spine 48(4) 288-294 2023年2月

STUDY DESIGN: A retrospective analysis of magnetic resonance imaging (MRI). OBJECTIVE: The study aimed to evaluate the performance of a convolutional neural network (CNN) to differentiate spinal pyogenic spondylitis from Modic change on MRI. We co...

Characteristics of the cervical spine and cervical cord injuries in older adults with cervical ossification of the posterior longitudinal ligament.

Shun Okuwaki Toru Funayama Masao Koda Fumihiko Eto Akihiro Yamaji Noriaki Yokogawa Takeshi Sasagawa Kei Ando Hiroaki Nakashima Naoki Segi Kota Watanabe Satoshi Nori Kazuki Takeda Takeo Furuya Atsushi Yunde Hideaki Nakajima Tomohiro Yamada Tomohiko Hasegawa Yoshinori Terashima Ryosuke Hirota Hidenori Suzuki Yasuaki Imajo Shota Ikegami Masashi Uehara Hitoshi Tonomura Munehiro Sakata Ko Hashimoto Yoshito Onoda Kenichi Kawaguchi Yohei Haruta Nobuyuki Suzuki Kenji Kato Hiroshi Uei Hirokatsu Sawada Kazuo Nakanishi Kosuke Misaki Hidetomi Terai Koji Tamai Eiki Shirasawa Gen Inoue Kenichiro Kakutani Yuji Kakiuchi Katsuhito Kiyasu Hiroyuki Tominaga Hiroto Tokumoto Yoichi Iizuka Eiji Takasawa Koji Akeda Norihiko Takegami Haruki Funao Yasushi Oshima Takashi Kaito Daisuke Sakai Toshitaka Yoshii Tetsuro Ohba Bungo Otsuki Shoji Seki Masashi Miyazaki Masayuki Ishihara Seiji Okada Shiro Imagama Satoshi Kato

Scientific reports 13(1) 2689-2689 2023年2月

Although the incidence of cervical spinal cord injury (CSCI) with ossification of the posterior longitudinal ligament (OPLL) has increased in older adults, its etiology and neurological outcomes remain unknown. We identified OPLL characteristics a...

Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.

Sadayuki Ito Hiroaki Nakashima Toshitaka Yoshii Satoru Egawa Kenichiro Sakai Kazuo Kusano Shinji Tsutui Takashi Hirai Yu Matsukura Kanichiro Wada Keiichi Katsumi Masao Koda Atsushi Kimura Takeo Furuya Satoshi Maki Narihito Nagoshi Norihiro Nishida Yukitaka Nagamoto Yasushi Oshima Kei Ando Masahiko Takahata Kanji Mori Hideaki Nakajima Kazuma Murata Masayuki Miyagi Takashi Kaito Kei Yamada Tomohiro Banno Satoshi Kato Tetsuro Ohba Satoshi Inami Shunsuke Fujibayashi Hiroyuki Katoh Haruo Kanno Masahiro Oda Kensaku Mori Hiroshi Taneichi Yoshiharu Kawaguchi Katsushi Takeshita Morio Matsumoto Masashi Yamazaki Atsushi Okawa Shiro Imagama

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 2023年2月

PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This st...