Tohoku University Tohoku Medical Megabank Organization (Shunji Mugikura)
2026.01.20

1.   Yoshinaga Kenji, Matsushima Toma, Abe Mitsunari, et al. Age‐disproportionate atrophy in Alzheimer's disease and Parkinson's disease spectra. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2025; 17 (1): . doi:10.1002/dad2.70048  
2.   Mori Naoko, Mori Yu, Konno Motoko, et al. More than a rebuttal: a field guide to letters to the editor in radiology. European Journal of Radiology. 2025; 192 : 112375. doi:10.1016/j.ejrad.2025.112375  
3.   Liu Junyan, Kanno Shigenori, Iseki Chifumi, et al. White matter lesions associated with the reemergence of grasp reflexes in patients with idiopathic normal pressure hydrocephalus. Fluids and Barriers of the CNS. 2025; 22 (1): 106. doi:10.1186/s12987-025-00718-w  
4.   Shinoda Genki, Obara Taku, Takahashi Ippei, et al. Genome‐Wide Association Study of Cognitive Function in Population‐Based Cohorts in Japan: The Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study. Genes, Brain and Behavior. 2025; 24 (5): . doi:10.1111/gbb.70038  
5.   Jin Kazuyoshi, Kitamura Ko, Mugikura Shunji, et al. Multivariate Normal Distribution Method for a Virtual Cerebral Arterial Population. International Journal for Numerical Methods in Biomedical Engineering. 2025; 41 (11): . doi:10.1002/cnm.70117  
6.   Masutani Yoshitaka, Konya Kousei, Kato Erina, et al. Synthetic X-Q space learning for diffusion MRI parameter estimation: a pilot study in breast DKI. International Journal of Computer Assisted Radiology and Surgery. 2025; 20 (12): 2423-2435. doi:10.1007/s11548-025-03550-7  
7.   Obara Taku, Ishikuro Mami, Noda Aoi, et al. Cohort Profile Update: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study) 2023 update. International Journal of Epidemiology. 2025; 54 (5): . doi:10.1093/ije/dyaf148  
8.   Hatakeyama Kento, Otani Takahiro, Satoh Kasumi, et al. CT-based assessment of bear-inflicted maxillofacial injuries: evaluation using the facial injury severity scale and its association with hospitalization duration. Japanese Journal of Radiology. 2025; 43 (11): 1812-1821. doi:10.1007/s11604-025-01827-0  
9.   Mori Naoko, Mugikura Shunji, Abe Yuto, et al. STAT image reporting in a large-scale cohort: types, frequency, and insights from the Tohoku Medical Megabank Brain MRI Study. Japanese Journal of Radiology. 2025; 43 (9): 1413-1416. doi:10.1007/s11604-025-01800-x  
10.   Kiuchi Sakura, Nakaya Kumi, Cooray Upul, et al. A Principal Component Analysis of Metabolome and Cognitive Decline Among Japanese Older Adults: Cross-sectional Analysis Using Tohoku Medical Megabank Cohort Study Data. Journal of Epidemiology. 2025; 35 (1): JE20240099. doi:10.2188/jea.JE20240099  
11.   Mugikura Shunji, Mori Naoko. Potential Pitfalls in Applying the Suzuki Classification in Moyamoya Disease. Pediatric Neurology. 2025; 163 : 45. doi:10.1016/j.pediatrneurol.2024.11.009  
12.   Mori Naoko, Mugikura Shunji, Hozawa Atsushi, et al. Language Registration-Based Scoring System for Handwritten Logical Memory of Wechsler Memory Scale-Revised: Developed and Validated in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2025; 267 (1): 2025.J006. doi:10.1620/tjem.2025.J006  
13.   Shimoda Yoshiteru, Kanamori Masayuki, Yamashita Shota, et al. Residual Pattern of the Hyperintense Area on T2-Weighted Magnetic Resonance Imaging After Initial Treatment Predicts the Pattern and Location of Recurrence in Patients with Newly Diagnosed Glioblastoma. World Neurosurgery. 2025; 193 : 517-532. doi:10.1016/j.wneu.2024.10.012  
14.   Mori Yu, Ren Hainan, Mori Naoko, et al. Magnetic Resonance Imaging Texture Analysis Based on Intraosseous and Extraosseous Lesions to Predict Prognosis in Patients with Osteosarcoma. Diagnostics. 2024; 14 (22): 2562. doi:10.3390/diagnostics14222562  
15.   Mori Naoko, Mugikura Shunji. Ai-based algorithm for measurement of the thoracic aortic diameter in low-dose chest CT: Prospects from cross-sectional to longitudinal assessment. European Journal of Radiology. 2024; 179 : 111660. doi:10.1016/j.ejrad.2024.111660  
16.   Mori Naoko, Li Li, Matsuda Masazumi, et al. Prospects of perfusion contrast-enhanced ultrasound (CE-US) in diagnosing axillary lymph node metastases in breast cancer: a comparison with lymphatic CE-US. Journal of Medical Ultrasonics. 2024; 51 (4): 587-597. doi:10.1007/s10396-024-01444-w  
17.   Liu Junyan, Kanno Shigenori, Iseki Chifumi, et al. The grasp reflex in patients with idiopathic normal pressure hydrocephalus. Journal of Neurology. 2024; 271 (7): 4191-4202. doi:10.1007/s00415-024-12341-0  
18.   Kanamori Masayuki, Mugikura Shunji, Iizuka Osamu, et al. Clinical significance of cerebral microbleeds in patients with germinoma who underwent long-term follow-up. Journal of Neuro-Oncology. 2024; 170 (1): 173-184. doi:10.1007/s11060-024-04753-9  
19.   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. 2024; 23 (2): mp.2022-0091. doi:10.2463/mrms.mp.2022-0091  
20.   Pan Fangjia, Mori Naoko, Mugikura Shunji, et al. The influence of blood velocity and vessel geometric parameters on wall shear stress. Medical Engineering & Physics. 2024; 124 : 104112. doi:10.1016/j.medengphy.2024.104112  
21.   Konomatsu Kazutoshi, Kakisaka Yosuke, Sato Shiho, et al. “Caterpillar sign” in corpus callosum associated with curvilinear pericallosal lipoma in MRI: A case report. Radiology Case Reports. 2024; 19 (5): 2058-2061. doi:10.1016/j.radcr.2024.02.058  
22.   Sato Shuichi, Imaeda Takao, Mugikura Shunji, et al. Association of olfactory and cognitive function test scores with hippocampal and amygdalar grey matter volume: a cross-sectional study. Scientific Reports. 2024; 14 (1): 19138. doi:10.1038/s41598-024-69726-4  
23.   Osada Yoshinari, Kanamori Masayuki, Osawa Shin-Ichiro, et al. Visualization of the lenticulostriate arteries, long insular arteries, and long medullary arteries on intra-arterial computed tomography angiography with ultrahigh resolution in patients with glioma. Acta Neurochirurgica. 2023; 165 (12): 4213-4219. doi:10.1007/s00701-023-05794-1  
24.   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  
25.   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  
26.   Mori Naoko, Mugikura Shunji, Takase Kei. The role of magnetic resonance imaging in prostate cancer patients on active surveillance. The British Journal of Radiology. 2023; 96 (1151): . doi:10.1259/bjr.20220140  
27.   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  
28.   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  
29.   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  
30.   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  
31.   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  
32.   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  
33.   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  
34.   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  
35.   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  
36.   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  
37.   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  
38.   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  
39.   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  
40.   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