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 Tohoku University Tohoku Medical Megabank Organization (Shunji Mugikura)2024.05.31 1.   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   2.   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   3.   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   4.   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   5.   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   6.   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   7.   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   8.   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   9.   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   10.   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   11.   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   12.   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   13.   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   14.   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   15.   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   16.   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   17.   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   18.   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   19.   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   20.   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