Toshimasa Yamamoto

Prof. Dr. Toshimasa Yamamoto

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in European Journal of Radiology Open
Verified
Journal Article
Open access
IOIichiro Osawa
Iichiro Osawa
EKEito Kozawa
Eito Kozawa
TMTakashi Mitsufuji
Takashi Mitsufuji
TYToshimasa Yamamoto
Toshimasa Yamamoto
NANOBUO ARAKI
NOBUO ARAKI
MNMamoru Niitsu
Mamoru Niitsu
To evaluate the clinical utility of intravenous gadolinium-enhanced heavily T2-weighted 3D fluid-attenuated inversion recovery (HT2-FLAIR) imaging for identifying spinal cerebrospinal fluid (CSF) leaks in patients with spontaneous intracranial hypotension (SIH). Patients with SIH underwent MR myelography and post-contrast HT2-FLAIR imaging after an intravenous gadolinium injection. Two types of CSF leaks (epidural fluid collection and CSF leaks around the nerve root sleeve) at each vertebral level were compared between the 2 sequences. The total numbers of CSF leaks and vertebral levels involved were recorded for the whole spine. The sequence that was superior for the overall visualization of epidural and paraspinal fluid collection was then selected. Nine patients with SIH were included in the present study. HT2-FLAIR imaging was equivalent or superior to MR myelography at each level for detecting the 2 types of CSF leaks. In the 2 types of CSF leaks, the total numbers of CSF leaks and levels involved were higher on HT2-FLAIR images than on MR myelography, while no significant difference was observed for CSF leaks around the nerve root sleeve. In all 9 patients, HT2-FLAIR imaging was superior to MR myelography for the overall visualization of epidural and paraspinal fluid collection. Intravenous gadolinium-enhanced HT2-FLAIR imaging was superior to MR myelography for the visualization of CSF leaks in patients with SIH. This method can be useful for identifying spinal CSF leaks.

1 June 2017 in eNeurologicalSci
Verified
Journal Article
Open access
YNYoshihiko Nakazato
Yoshihiko Nakazato
NTNaotoshi Tamura
Naotoshi Tamura
KIKei Ikeda
Kei Ikeda
TYToshimasa Yamamoto
Toshimasa Yamamoto

11 June 2024 in Life
Verified
Journal Article
Open access
PDF file
MOMariko Okada
Mariko Okada
Masahito KatsukiMasahito Katsuki
Masahito Katsuki
Tomokazu ShimazuTomokazu Shimazu
Tomokazu Shimazu
TTTakao Takeshima
Takao Takeshima
TMTakashi Mitsufuji
Takashi Mitsufuji
TYToshimasa Yamamoto
Toshimasa Yamamoto
The misdiagnosis of headache disorders is a serious issue, and AI-based headache model diagnoses with external validation are scarce. We previously developed an artificial intelligence (AI)-based headache diagnosis model using a database of 4000 patients’ questionnaires in a headache-specializing clinic and herein performed external validation prospectively. The validation cohort of 59 headache patients was prospectively collected from August 2023 to February 2024 at our or collaborating multicenter institutions. The ground truth was specialists’ diagnoses based on the initial questionnaire and at least a one-month headache diary after the initial consultation. The diagnostic performance of the AI model was evaluated. The mean age was 42.55 ± 12.74 years, and 51/59 (86.67%) of the patients were female. No missing values were reported. Of the 59 patients, 56 (89.83%) had migraines or medication-overuse headaches, and 3 (5.08%) had tension-type headaches. No one had trigeminal autonomic cephalalgias or other headaches. The models’ overall accuracy and kappa for the ground truth were 94.92% and 0.65 (95%CI 0.21–1.00), respectively. The sensitivity, specificity, precision, and F values for migraines were 98.21%, 66.67%, 98.21%, and 98.21%, respectively. There was disagreement between the AI diagnosis and the ground truth by headache specialists in two patients. This is the first external validation of the AI headache diagnosis model. Further data collection and external validation are required to strengthen and improve its performance in real-world settings.

Verified
Journal Article
Open access
PDF file
YIYasuo Ito
Yasuo Ito
HNHarumitsu Nagoya
Harumitsu Nagoya
MYMasamizu Yamazato
Masamizu Yamazato
YAYoshio Asano
Yoshio Asano
MSMasahiko Sawada
Masahiko Sawada
NANOBUO ARAKI
NOBUO ARAKI
Nitric oxide (NO) is involved in the pathogenesis of cerebral ischemic injury. Here, we investigated the effects of aging on NO production during cerebral ischemia-reperfusion (IR). Male Wister rats (WRs) were assigned to 12-month-old (older; n = 5) and 3-month-old (younger; n = 7) groups. Similarly, male spontaneous hypertensive rats (SHRs) were allocated to 12-month-old (older; n = 6) and 3-month-old (younger; n = 8) groups. After anesthesia, their NO production was monitored using in vivo microdialysis probes inserted into the left striatum and hippocampus. Forebrain cerebral IR injuries were produced via ligation of the bilateral common carotid arteries, followed by reperfusion. The change in the NO3− of the older rats in the SHR groups in the striatum was less compared to that of the younger rats before ischemia, during ischemia, and after reperfusion (p < 0.05). In the hippocampus, the change in the NO3− of the older rats in the SHR groups was lower compared to that of the younger rats after reperfusion (p < 0.05). There were no significant differences between the two WR groups. Our findings suggested that aging in SHRs affected NO production, especially in the striatum, before and during cerebral ischemia, and after reperfusion. Hypertension and aging may be important factors impacting NO production in brain IR injury.

1 February 2023 in COVID
Verified
Journal Article
Open access
PDF file
MTMieko Tokano
Mieko Tokano
NTNorihito Tarumoto
Norihito Tarumoto
IOIichiro Osawa
Iichiro Osawa
SSSakai Sakai
Sakai Sakai
MOMariko Okada
Mariko Okada
SMShigefumi Maesaki
Shigefumi Maesaki
Clinically mild encephalitis/encephalopathy with reversible splenial lesions (MERS) is a mild form of encephalitis/encephalopathy that appears in association with various conditions, including infection. COVID-19 is also known to cause MERS. MERS more commonly occurs in children, and adult cases are relatively rare. Typical head MRI findings include a round lesion in the mid-layer of the corpus callosum with a high signal intensity on diffusion-weighted images. Most improve within a week. Although the exact mechanism by which the cerebral corpus callosum is affected is still unknown, several hypotheses have been proposed, including the involvement of electrolyte abnormalities (e.g., hyponatremia) and inflammatory cytokines (e.g., IL-6). In this report, we describe the first case of COVID-associated MERS with a typical imaging course and hyponatremia, with a review of the relevant literature. When psychiatric symptoms and the disturbance of consciousness appear in COVID patients, MERS should be considered in addition to delirium due to fever and hypoxia.

1 January 2012 in Clinical Neurology and Neurosurgery
Verified
Journal Article
Closed access
TYToshimasa Yamamoto
Toshimasa Yamamoto
NTNaoko Takiguchi
Naoko Takiguchi
NTNaotoshi Tamura
Naotoshi Tamura
SIShinichi Iwasaki
Shinichi Iwasaki
NANobuo Araki
Nobuo Araki