東北大学大学院医学系研究科・医学部

STAFF

Professor

• Mugikura,ShunjiProfessor. 麦倉 俊司 教授
  

Other Faculty / Staff

• Mori,Naoko

  Assistant Prof. 森　菜緒子 助教

CONTACT

OUTLINE

The Division of Image Statistics (Laboratory of Brain Imaging Research) is in charge of additional MRI testing and cognitive psychological testing in the Tohoku Medical Megabank Project. Our aim is to clarify how constitution (genetic factors) and lifestyle affect the brain, cognitive function, and mental state in order to maintain a healthy brain and cognitive ability throughout life. We have started the "Brain and Mental Health Study" for those who participated in the Three Generations Cohort Study or the Community Resident Cohort Study and requested an MRI examination. Brain health is analyzed by morphometric analysis of the brain based on the latest brain science research. As a result of these surveys, a large brain image database will be completed. Using these databases, we also aim to develop early diagnosis and onset prevention for many brain-related diseases such as depression, PTSD, and dementia.
*Because this is not a dedicated diagnostic imaging method, depending on the type of disease, the diagnostic accuracy may be inferior to that of a regular MRI scan in a hospital.

画像統計学分野（脳画像調査室）は、東北メディカル・メガバンク事業におけるMRI追加検査および認知心理検査を担当しております。生涯健康な脳と認知力を保つために、体質（遺伝要因）、生活習慣がどのように脳や認知機能、こころの状態に影響するのかを明らかにすることを目的としています。三世代コホート調査または地域住民コホート調査にご参加いただき、MRI検査をご希望いただいた方に、『脳と心の健康調査』を開始しております。最新の脳科学研究に基づいた脳の形態解析により、脳の健康度を解析しています。これらの調査の結果、大規模な脳画像データベースが完成します。また、これらのデータベースを用いて、うつ・PTSD・認知症等の多くの脳が関連する病気に対して、早期診断や発症予防の発展を目指しています。
※診断専用の撮影方法ではないため、病気の種類によっては、病院での通常のMRI検査より診断精度が劣る場合があります。

ARTICLE

Mori Naoko, Abe Hiroyuki, Mugikura Shunji, et al. Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer. 2021; 28 (5): 1141-1153. doi:10.1007/s12282-021-01257-6

Kageyama Sakiko, Mori Naoko, Mugikura Shunji, et al. Gaussian mixture model-based cluster analysis of apparent diffusion coefficient values: a novel approach to evaluate uterine endometrioid carcinoma grade. European Radiology. 2021; 31 (1): 55-64. doi:10.1007/s00330-020-07047-6

Ogishima Soichi, Nagaie Satoshi, Mizuno Satoshi, et al. dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project. Human Genome Variation. 2021; 8 (1): 44. doi:10.1038/s41439-021-00175-5

Kato Erina, Mori Naoko, Mugikura Shunji, et al. Value of ultrafast and standard dynamic contrast-enhanced magnetic resonance imaging in the evaluation of the presence and extension of residual disease after neoadjuvant chemotherapy in breast cancer. Japanese Journal of Radiology. 2021; 39 (8): 791-801. doi:10.1007/s11604-021-01110-y

Matsumoto Yuki, Misu Tatsuro, Mugikura Shunji, et al. Distinctive lesions of brain MRI between MOG-antibody-associated and AQP4-antibody-associated diseases. Journal of Neurology, Neurosurgery & Psychiatry. 2021; 92 (6): 682-684. doi:10.1136/jnnp-2020-324818