Tohoku University Tohoku Medical Megabank Organization (Shunji Mugikura)
2024.02.28

1.   Taira Makiko, Mugikura Shunji, Mori Naoko, et al. Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background. JMA Journal. 2023; 6 (3): 246-264. doi:10.31662/jmaj.2022-0220  
2.   Sato Shuichi, Imaeda Takao, Mugikura Shunji, et al. Association Between Olfactory Test Data with Multiple Levels of Odor Intensity and Suspected Cognitive Impairment: A Cross-Sectional Study. Journal of Alzheimer's Disease. 2023; 95 (4): 1469-1480. doi:10.3233/JAD-230318  
3.   Shimizu Hiroaki, Mori Naoko, Mugikura Shunji, et al. Application of Texture and Volume Model Analysis to Dedicated Axillary High-resolution 3D T2-weighted MR Imaging: A Novel Method for Diagnosing Lymph Node Metastasis in Patients with Clinically Node-negative Breast Cancer. Magnetic Resonance in Medical Sciences. 2023; : mp.2022-0091. doi:10.2463/mrms.mp.2022-0091  
4.   Ota Eri, Mori Naoko, Yamashita Shinichi, et al. Longitudinal evaluation of apparent diffusion coefficient values as a predictor of Prostate Cancer Research International Active Surveillance reclassification. Abdominal Radiology. 2022; 47 (2): 814-826. doi:10.1007/s00261-021-03372-6  
5.   Ito Ayahito, Yoshida Kazuki, Aoki Ryuta, et al. The Role of the Ventromedial Prefrontal Cortex in Preferential Decisions for Own- and Other-Age Faces. Frontiers in Psychology. 2022; 13 : . doi:10.3389/fpsyg.2022.822234  
6.   Ren Hainan, Mori Naoko, Sato Satoko, et al. American College of Rheumatology and the European League Against Rheumatism classification criteria for IgG4-related disease: an update for radiologists. Japanese Journal of Radiology. 2022; 40 (9): 876-893. doi:10.1007/s11604-022-01282-1  
7.   Mori Naoko, Inoue Chihiro, Tamura Hajime, et al. Apparent diffusion coefficient and intravoxel incoherent motion-diffusion kurtosis model parameters in invasive breast cancer: Correlation with the histological parameters of whole-slide imaging. Magnetic Resonance Imaging. 2022; 90 : 53-60. doi:10.1016/j.mri.2022.04.003  
8.   Endo Hidenori, Mori Naoko, Mugikura Shunji, et al. Quantitative assessment of microstructural evolution of intracranial aneurysm wall by vessel wall imaging. Neuroradiology. 2022; 64 (7): 1343-1350. doi:10.1007/s00234-021-02877-7  
9.   Shimizu Hiroaki, Mori Naoko, Ren Hainan, et al. Multimodal imaging findings including high-resolution 3D T2-weighted imaging for COVID-19 vaccine-associated axillary lymphadenopathy in a patient with breast cancer. Radiology Case Reports. 2022; 17 (8): 2831-2836. doi:10.1016/j.radcr.2022.04.044  
10.   Ren Hainan, Mori Naoko, Mugikura Shunji, et al. Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging. Abdominal Radiology. 2021; 46 (11): 5344-5352. doi:10.1007/s00261-021-03226-1  
11.   Shimoda Yoshiteru, Kanamori Masayuki, Saito Ryuta, et al. Aphasic status epilepticus after glioma resection: two case reports. Acta Neurochirurgica. 2021; 163 (11): 3109-3113. doi:10.1007/s00701-021-04984-z  
12.   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  
13.   Mori Naoko, Mugikura Shunji, Takase Kei. Importance of ADC parameters from histogram analysis corresponding to histological components in endometrial cancer. European Journal of Radiology. 2021; 144 : 110004. doi:10.1016/j.ejrad.2021.110004  
14.   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  
15.   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  
16.   Mori Naoko, Mugikura Shunji, Takase Kei. Indication of perfusion contrast-enhanced ultrasound for diagnosing lymph nodes. Japanese Journal of Radiology. 2021; 39 (10): 1017-1018. doi:10.1007/s11604-021-01160-2  
17.   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