Publications by authors named "Muragaki Y"

The latest World Health Organization (WHO) classification of central nervous system tumors (WHO2021/5th) has incorporated molecular information into the diagnosis of each brain tumor type including diffuse glioma. Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. Using the concept of multiple-instance learning, we developed an AI framework named GLioma Image-level and Slide-level gene Predictor (GLISP) to predict nine genetic abnormalities in hematoxylin and eosin sections: , , mutations, promoter mutations, homozygous deletion (CHD), amplification (amp), 7 gain/10 loss (7+/10-), 1p/19q co-deletion, and promoter methylation.

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  • The paper discusses using a deep learning model to objectively assess speech functions during awake craniotomies, aiming to improve surgical outcomes by minimizing reliance on clinician observations.
  • It involved analyzing 1883 audio clips from surgeries in Japan and France to train a Wav2Vec2-based model, which achieved an F1-score of 84.12% for Japanese data and 74.68% when tested across languages.
  • While the initial results are promising, further evaluation and integration of noise reduction techniques are necessary to enhance the model's performance and accuracy.
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Background: Few studies have examined B cells among patients with anti-myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD), including brain pathology.

Objective: To describe cases of tumefactive MOGAD with B-cell dominant central nervous system (CNS) infiltration.

Methods: In this study, we reviewed three cases with clinical and brain histopathological features with tumefactive MOGAD.

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Purpose: To re-evaluate images recovered from JCOG0911, a randomized phase 2 trial for newly diagnosed glioblastoma (nGBM) conducted by the Japan Clinical Oncology Group (JCOG) Brain Tumor Study Group.

Methods: The correlation between tumor volumes and survival was evaluated, followed by progression-free survival (PFS) analysis by independent central review based on Response Assessment in Neuro-Oncology (RANO) criteria using MRI recovered from 118 nGBM patients enrolled in the JCOG0911 trial. A radiomic analysis was also performed to identify radiomic features predictive of nGBM prognosis.

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Objective: We investigated whether air in the cisterns or ventricles on postoperative computed tomography (CT) (reflecting the opening of the cerebrospinal fluid spaces during surgery) is a predictor of classical or nodular leptomeningeal disease (LMD) after resection of brain metastases.

Methods: We retrospectively analyzed 73 patients who underwent gross total resection of brain metastases between 2012 and 2020. Patients with air in the cisterns or ventricles on postoperative day 1 CT were categorized into the air-positive group, whereas those without air in the cisterns or ventricles on postoperative day 1 CT were categorized into the air-negative group.

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  • Photodynamic therapy (PDT) using talaporfin sodium is evaluated for its effectiveness in treating IDH-wildtype glioblastoma after surgical removal, with a focus on clinical outcomes and prognosis.
  • In a study of patients from Kobe University Hospital, PDT resulted in significantly lower local recurrence rates and longer progression-free and overall survival times compared to patients not receiving PDT.
  • Although PDT improved local control, it was associated with higher distant recurrence rates and some adverse events, highlighting the complexities of treatment outcomes.
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Objective: The primary goals of glioma surgery are maximal tumor resection and preservation of brain function. Intraoperative motor-evoked potential (MEP) monitoring is commonly used to predict and minimize postoperative paralysis. However, studies on intraoperative MEP trends and postoperative paralysis are scarce.

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  • Scientists looked at how the environment around tumors in the brain and certain substances in the fluid around the brain can help predict if patients with a type of brain cancer called glioblastoma will have seizures before surgery.
  • They studied 47 patients and found that a specific substance called sCD163 was lower in patients who had seizures compared to those who didn’t.
  • The results suggest that measuring sCD163 in the fluid around the brain could help doctors anticipate seizures in these patients.
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In the fifth edition of the World Health Organization's (WHO) classification of tumors of the central nervous system (CNS), molecular analysis is required for not only determining each tumor type but assessing its prognosis based on malignancy (CNS WHO grade). A notable example is the loss of tumor suppressor gene cyclin-dependent kinase inhibitor 2A (CDKN2A), and CDKN2A homozygous deletion (HD) is a novel CNS WHO grade 4 marker in isocitrate dehydrogenase gene (IDH)-mutant astrocytoma. However, incorporating molecular workup into the "routine diagnostics" of each brain tumor type remains a major challenge, especially in resource-limited settings, including low- and middle-income countries.

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Resection of a glioma from the dorsomedial frontal lobe, including the supplementary motor area (SMA), can result in postoperative SMA syndrome. SMA syndrome may occur during awake craniotomies. However, it is often difficult to intraoperatively distinguish between motor dysfunction due to pyramidal tract damage from that due to SMA syndrome.

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We aimed to differentiate the isocitrate dehydrogenase (IDH) status among non-enhanced astrocytic tumors using preoperative MRI and PET. We analyzed 82 patients with non-contrast-enhanced, diffuse, supratentorial astrocytic tumors (IDH mutant [IDH-mut], 55 patients; IDH-wildtype [IDH-wt], 27 patients) who underwent MRI and PET between May 2012 and December 2022. We calculated the fractional anisotropy (FA) and mean diffusivity (MD) values using diffusion tensor imaging.

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Objective: To clarify the relationships between C-methionine (MET) positron emission tomography (PET) metrics and the histology, genetics, and prognosis of adult-type diffuse glioma (ADG) based on the World Health Organization (WHO) 2021 classification.

Methods: A total of 125 newly diagnosed patients with ADG were enrolled. We compared the maximum standardized uptake value (SUVmax), tumor-to-normal background ratio (TNR), metabolic tumor volume (MTV), and total lesion methionine uptake (TLMU) to the histology and genetics of the patients with ADG.

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  • * In GBM with mutations in receptor tyrosine kinases, the mTORC2 complex suppresses the enzyme DNMT3A, leading to widespread DNA hypomethylation by redistributing EZH2 to the DNMT3A promoter, thus repressing its expression.
  • * This research shows that the hypomethylator phenotype alters glutamate metabolism and enhances GBM cell invasion and survival, highlighting mTORC2 as a promising target for cancer treatment through its role in epigenetic
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Cancer tissues exhibit an acidic microenvironment owing to the accumulation of protons and lactic acid produced by cancer and inflammatory cells. To examine the role of an acidic microenvironment in lymphatic cancer metastasis, gene expression profiling was conducted using human dermal lymphatic endothelial cells (HDLECs) treated with a low pH medium. Microarray and gene set enrichment analysis revealed that acid treatment induced the expression of inflammation-related genes in HDLECs, including genes encoding chemokines and adhesion molecules.

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Background And Aims: Recent studies on endoscopic submucosal dissection have aimed to reduce the difficulty of the procedure by using multi-degrees-of-freedom articulating devices. In this study, we evaluated the usefulness of adding three-dimensional (3D) video imaging into simulated endoscopic submucosal dissection tasks using multi-degrees-of-freedom devices.

Methods: We designed an endoscopic platform with a 3D camera and two multi-degrees-of-freedom devices.

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Neurosurgery is complex surgery that requires a strategy that maximizes the removal of tumors and minimizes complications; thus, a safe environment during surgery should be guaranteed. In this study, we aimed to verify the safety of brain surgery using intraoperative magnetic resonance imaging (iMRI), based on surgical experience since 2000. Thus, we retrospectively examined 2,018 surgical procedures that utilized iMRI performed in the operating room at Tokyo Women's Medical University Hospital between March 2000 and October 2019.

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Chronic alcohol exposure increases liver damage such as lipid accumulation and hepatitis, resulting in hepatic cirrhosis. Chronic alcohol intake is known to disturb circadian rhythms in humans and animals. DEC1, a basic helix-loop-helix transcription factor, plays an important role in the circadian rhythm, inflammation, immune responses, and tumor progression.

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Background: In awake surgery, cortical mapping may identify the negative motor area (NMA). However, since speech arrest occurs regardless of whether the NMA or the frontal language area (FLA) is stimulated, the presence of speech arrest alone does not distinguish the NMA from the FLA. Furthermore, the exact location and function of the NMA is not well understood.

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  • * A study involving 28 glioma patients and 23 healthy participants assessed language abilities and used advanced imaging techniques to explore structural brain changes.
  • * Findings indicated that damage in a specific brain area (posterior limb of the left internal capsule) was linked to grammar difficulties, and that structural changes in the right posterior insula were connected to both patient and healthy participants’ language skills, highlighting the impact on existing language networks.
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Early diagnosis of glioma is of great value to improve prognosis. We focused on serum vimentin levels as a useful biomarker for preoperative diagnosis. The aim of this study was to determine whether serum vimentin levels in patients with glioma are significantly higher than those of healthy adult volunteer and whether the serum vimentin level is associated with overall survival (OS) in patients with glioblastoma (GBM).

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Brain tissue deformation during surgery significantly reduces the accuracy of image-guided neurosurgeries. We generated updated magnetic resonance images (uMR) in this study to compensate for brain shifts after dural opening using a convolutional neural network (CNN). This study included 248 consecutive patients who underwent craniotomy for initial intra-axial brain tumor removal and correspondingly underwent preoperative MR (pMR) and intraoperative MR (iMR) imaging.

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Background And Purpose: C-methionine (MET)-PET is a useful tool in neuro-oncology. The T2-fluid-attenuated inversion recovery (FLAIR) mismatch sign on MRI is a characteristic finding in lower grade gliomas with isocitrate dehydrogenase (IDH) mutations and the absence of the 1p/19q codeletion; however, the T2-FLAIR mismatch sign has low sensitivity in differentiating gliomas and does not aid in identifying glioblastomas with IDH mutations. We therefore investigated the efficacy of the combination of the T2-FLAIR mismatch sign and MET-PET for accurately determining the molecular subtype of gliomas of all grades.

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  • The study aimed to find a way to differentiate between grade II and III astrocytomas using preoperative imaging techniques, particularly looking at PET and MRS data.
  • It analyzed 74 astrocytic tumors, focusing on specific metabolic ratios to determine if they could reliably distinguish between the tumor grades, ultimately finding no significant factors based on IDH mutation status.
  • The research concluded that combinational diagnostic methods (CDM) were more effective than traditional MRI contrast examinations in identifying grade III tumors, especially in the IDH-mutant group.
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