4.4 Letter

Limitation of neurite orientation dispersion and density imaging for the detection of focal cortical dysplasia with a transmantle sign

期刊

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ejmp.2018.06.011

关键词

-

资金

  1. JSPS KAKENHI [JP16H06280]
  2. Impulsing Paradigm Change through disruptive Technologies (ImPACT) Program of the Council for Science, Technology and Innovation (Cabinet Office, Government of Japan)
  3. program for Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS) from Japan Agency for Medical Research and development, AMED

向作者/读者索取更多资源

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Radiology, Nuclear Medicine & Medical Imaging

Using modulated and smoothed data improves detectability of volume difference in group comparison, but reduces accuracy with atlas-based volumetry using Statistical Parametric Mapping 12 software

Masami Goto, Syo Murata, Masaaki Hori, Kiyotaka Nemoto, Koji Kamatgata, Shigeki Aoki, Osamu Abe, Hajime Sakamoto, Yasuaki Sakano, Shinsuke Kyogoku, Hiroyuki Daida

Summary: The study demonstrates that using smoothed data can improve detectability in group comparison, while reducing the accuracy of volumetry.

ACTA RADIOLOGICA (2022)

Article Clinical Neurology

Multiple sclerosis plaques may undergo continuous myelin degradation: a cross-sectional study with myelin and axon-related quantitative magnetic resonance imaging metrics

Tomoko Maekawa, Akifumi Hagiwara, Kazumasa Yokoyama, Masaaki Hori, Christina Andica, Shohei Fujita, Koji Kamagata, Akihiko Wada, Osamu Abe, Yuji Tomizawa, Nobutaka Hattori, Shigeki Aoki

Summary: The study hypothesized that myelin is more vulnerable to damage over time than axons in multiple sclerosis (MS) plaques. By analyzing quantitative MRI metrics, including myelin volume fraction (MVF) and g-ratio, the results indicated that longer duration from onset of MS plaques was associated with lower MVF and higher g-ratio, suggesting continuous damage to myelin in plaques. Myelin imaging using SyMRI and NODDI could be valuable for evaluating temporal changes in MS plaques.

NEURORADIOLOGY (2022)

Article Clinical Neurology

White matter microstructures in Parkinson's disease with and without impulse control behaviors

Haruka Takeshige-Amano, Taku Hatano, Koji Kamagata, Christina Andica, Wataru Uchida, Masahiro Abe, Takashi Ogawa, Yasushi Shimo, Genko Oyama, Atsushi Umemura, Masanobu Ito, Masaaki Hori, Shigeki Aoki, Nobutaka Hattori

Summary: This study comprehensively assessed white matter microstructures in PD patients with ICBs using advanced diffusion MRI and MT-sat imaging. The results showed that compared with healthy controls, PD-nICBs had significant alterations in many major white matter tracts in most parameters. Compared with PD-ICBs, PD-nICBs had more prominent myelin and axonal changes in fibers related to the reward system and visual emotional recognition.

ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY (2022)

Article Radiology, Nuclear Medicine & Medical Imaging

Analysis of synthetic magnetic resonance images by multi-channel segmentation increases accuracy of volumetry in the putamen and decreases mis-segmentation in the dural sinuses

Masami Goto, Issei Fukunaga, Akifumi Hagiwara, Shohei Fujita, Masaaki Hori, Koji Kamagata, Shigeki Aoki, Osamu Abe, Hajime Sakamoto, Yasuaki Sakano, Shinsuke Kyogoku, Hiroyuki Daida

Summary: This study investigated the evaluation of single- and multi-channel segmentation using synthetic MR images, and found that multi-channel segmentation provides better results compared to single-channel and other multi-channel segmentation in voxel-based morphometry.

ACTA RADIOLOGICA (2023)

Article Neurosciences

Multimodal magnetic resonance imaging quantification of gray matter alterations in relapsing-remitting multiple sclerosis and neuromyelitis optica spectrum disorder

Christina Andica, Akifumi Hagiwara, Kazumasa Yokoyama, Shimpei Kato, Wataru Uchida, Yuma Nishimura, Shohei Fujita, Koji Kamagata, Masaaki Hori, Yuji Tomizawa, Nobutaka Hattori, Shigeki Aoki

Summary: This study combined NODDI and SyMRI to evaluate GM microstructural alterations in RRMS and NMOSD patients, revealing reduced NDI and MVF and increased ODI and ISOVF in RRMS patients, mainly in limbic and paralimbic regions, while NMOSD patients showed reduced NDI in different cortical areas. RRMS and NMOSD exhibited distinct GM pathologies, with cautious interpretation of the results due to study limitations.

JOURNAL OF NEUROSCIENCE RESEARCH (2022)

Article Oncology

Diagnostic and Prognostic Value of pH- and Oxygen-Sensitive Magnetic Resonance Imaging in Glioma: A Retrospective Study

Jingwen Yao, Akifumi Hagiwara, Talia C. Oughourlian, Chencai Wang, Catalina Raymond, Whitney B. Pope, Noriko Salamon, Albert Lai, Matthew Ji, Phioanh L. Nghiemphu, Linda M. Liau, Timothy F. Cloughesy, Benjamin M. Ellingson

Summary: Glioma genotypes can be differentiated using pH- and oxygen-sensitive MRI, and this technique has potential prognostic value. In a study of 159 glioma patients, genetic mutations and prognosis were associated with measurements of tissue acidosis and hypoxia on MRI.

CANCERS (2022)

Letter Clinical Neurology

Synthetic double inversion recovery (DIR) and phase-sensitive inversion recovery (PSIR) images showed better delineation of multiple sclerosis plaques

Moto Nakaya, Akifumi Hagiwara, Masaaki Hori, Kazumasa Yokoyama, Shohei Fujita, Christina Andica, Koji Kamagata, Yasunobu Hoshino, Yuji Tomizawa, Nobutaka Hattori, Shigeki Aoki

NEURORADIOLOGY (2022)

Article Endocrinology & Metabolism

White matter fiber-specific degeneration in older adults with metabolic syndrome

Christina Andica, Koji Kamagata, Wataru Uchida, Kaito Takabayashi, Keigo Shimoji, Hideyoshi Kaga, Yuki Someya, Yoshifumi Tamura, Ryuzo Kawamori, Hirotaka Watada, Masaaki Hori, Shigeki Aoki

Summary: This study used fixel-based analysis to assess the impact of Metabolic syndrome (MetS) on white matter microstructure in older adults, and found significant correlations with cognitive and locomotor functions. The results showed substantial axonal loss in individuals with MetS and early axonal loss without fiberbundle morphological changes in those with preMetS. The study also revealed associations between executive dysfunction, abdominal obesity, hyper-low-density lipoprotein cholesterolemia, smoking habit, and compromised WM neural tissue microstructure in MetS.

MOLECULAR METABOLISM (2022)

Article Clinical Neurology

Association of MRI Indices of Glymphatic System With Amyloid Deposition and Cognition in Mild Cognitive Impairment and Alzheimer Disease

Koji Kamagata, Christina Andica, Kaito Takabayashi, Yuya Saito, Toshiaki Taoka, Hayato Nozaki, Junko Kikuta, Shohei Fujita, Akifumi Hagiwara, Kouhei Kamiya, Akihiko Wada, Toshiaki Akashi, Katsuhiro Sano, Mitsuo Nishizawa, Masaaki Hori, Shinji Naganawa, Shigeki Aoki

Summary: Our study found changes in PVS-related MRI parameters in MCI and AD, possibly due to impairment of the glymphatic system. We also revealed associations between MRI parameters and A beta deposition, neuronal change, and cognitive impairments in AD.

NEUROLOGY (2022)

Article Radiology, Nuclear Medicine & Medical Imaging

Investigation of time-dependent diffusion in extra-axial brain tumors using oscillating-gradient spin-echo

Tomoko Maekawa, Masaaki Hori, Katsutoshi Murata, Thorsten Feiweier, Kouhei Kamiya, Christina Andica, Akifumi Hagiwara, Shohei Fujita, Koji Kamagata, Akihiko Wada, Osamu Abe, Shigeki Aoki

Summary: This study investigates the utility of changes in diffusivity between short and long diffusion times for characterizing extra-axial brain tumors. The results suggest that the differences in diffusion time-dependence may be attributed to differences in the internal structures of brain tumors. DWI with a short diffusion time may provide additional information on the microstructure of each tumor and contribute to tumor diagnosis.

MAGNETIC RESONANCE IMAGING (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning

Akihiko Wada, Yuya Saito, Shohei Fujita, Ryusuke Irie, Toshiaki Akashi, Katsuhiro Sano, Shinpei Kato, Yutaka Ikenouchi, Akifumi Hagiwara, Kanako Sato, Nobuo Tomizawa, Yayoi Hayakawa, Junko Kikuta, Koji Kamagata, Michimasa Suzuki, Masaaki Hori, Atsushi Nakanishi

Summary: This study used a deep learning model to simulate a rule-based workflow and evaluate the accuracy of age estimation. The results showed that the deep learning model achieved highly accurate age estimation in infants and children up to 2 years of age.

MAGNETIC RESONANCE IN MEDICAL SCIENCES (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images

Masami Goto, Yujiro Otsuka, Akifumi Hagiwara, Shohei Fujita, Masaaki Hori, Koji Kamagata, Shigeki Aoki, Osamu Abe, Hajime Sakamoto, Yasuaki Sakano, Shinsuke Kyogoku, Hiroyuki Daida

Summary: In automated brain morphometry analyses, skull stripping is a critical first step for accurate spatial registration and signal-intensity normalization. Convolutional neural network (CNN) methods have shown to be better at skull stripping than non-CNN methods. This study aims to evaluate the accuracy of skull stripping in a single-contrast CNN model using eight-contrast magnetic resonance images.

RADIOLOGICAL PHYSICS AND TECHNOLOGY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Effect of Temporal Sampling Rate on Estimates of the Perfusion Parameters for Patients with Moyamoya Disease Assessed with Simultaneous Multislice Dynamic Susceptibility Contrast-enhanced MR Imaging

Tomohiro Takamura, Shoko Hara, Tadashi Nariai, Yutaka Ikenouchi, Michimasa Suzuki, Toshiaki Taoka, Masahiro Ida, Keiichi Ishigame, Masaaki Hori, Kanako Sato, Koji Kamagata, Kanako Kumamaru, Hidenori Oishi, Sho Okamoto, Yoshio Araki, Kenji Uda, Masakazu Miyajima, Taketoshi Maehara, Motoki Inaji, Yoji Tanaka, Shinji Naganawa, Hisashi Kawai, Toshiki Nakane, Yasuaki Tsurushima, Toshiyuki Onodera, Shuko Nojiri, Shigeki Aoki

Summary: This study evaluated the influence of different temporal sampling rates (TSRs) on perfusion parameters in Moyamoya disease (MMD) using simultaneous multi-slice (SMS) dynamic susceptibility contrast-enhanced MR imaging (DSC-MRI). The results showed that perfusion measurements were significantly deteriorated when TSR was over 1.5 s, while they were less influenced when TSR was less than or equal to 1.0 s.

MAGNETIC RESONANCE IN MEDICAL SCIENCES (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of Brain Volume Measurements Made with 0.3-and 3-T MR Imaging

Syo Murata, Akifumi Hagiwara, Hideyoshi Kaga, Yuki Someya, Kiyotaka Nemoto, Masami Goto, Koji Kamagata, Ryusuke Irie, Masaaki Hori, Christina Andica, Akihiko Wada, Kanako Kunishima Kumamaru, Keigo Shimoji, Yujiro Otsuka, Haruyoshi Hoshito, Yoshifumi Tamura, Ryuzo Kawamori, Hirotaka Watada, Shigeki Aoki

Summary: The study supports the validity of brain volumetry using low-field magnetic resonance imaging, as indicated by high intraclass correlation coefficients, high Pearson's correlation coefficients, and low percentage biases across various tissues and brain regions. Some small differences were observed in certain areas.

MAGNETIC RESONANCE IN MEDICAL SCIENCES (2022)

Article Clinical Neurology

Temporal Progression Patterns of Brain Atrophy in Corticobasal Syndrome and Progressive Supranuclear Palsy Revealed by Subtype and Stage Inference (SuStaIn)

Yuya Saito, Koji Kamagata, Peter A. Wijeratne, Christina Andica, Wataru Uchida, Kaito Takabayashi, Shohei Fujita, Toshiaki Akashi, Akihiko Wada, Keigo Shimoji, Masaaki Hori, Yoshitaka Masutani, Daniel C. Alexander, Shigeki Aoki

Summary: This study used a novel machine learning technique called SuStaIn to reveal the difference in brain atrophy progression patterns between patients with corticobasal syndrome (CBD-CBS) and those with Richardson's syndrome (PSP-RS). The results showed high accuracy and sensitivity in classifying these diseases based on structural brain MRI data. SuStaIn has potential for improving our understanding of disease mechanisms, accurately stratifying patients, and providing prognoses for patients with CBD and PSP-RS.

FRONTIERS IN NEUROLOGY (2022)

暂无数据