Publications by authors named "Sugano H"

Recent discussions about the utilization of real-world data (RWD) and real-world evidence (RWE) have been more focused on drug development for regulatory approval rather than during the post-marketing stage. In Japan, RWD/RWE have been practically utilized as an external control for drug approval. Most cases were related to orphan diseases where the feasibility of conducting randomized controlled clinical trials was generally low.

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Objective: To determine the optimal montage and vocalization conditions for high-gamma language mapping using stereoelectroencephalography.

Methods: We studied 12 epilepsy patients who underwent invasive monitoring with depth electrodes and measurement of auditory-naming related high-gamma modulations. We determined the effects of electrode montage and vocalization conditions of the response on the high-gamma (60-140 Hz) amplitudes.

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Article Synopsis
  • The CANPIONE study aimed to evaluate the effectiveness of canagliflozin, an SGLT2 inhibitor, in slowing the progression of chronic kidney disease (CKD) in participants with early-stage CKD and type 2 diabetes.
  • In a trial involving 98 participants, those taking canagliflozin showed a significant reduction in urinary albumin levels and a slower decline in their estimated glomerular filtration rate (eGFR) compared to those receiving standard treatment.
  • The study suggests that monitoring individual changes in eGFR slope could be a promising method for assessing the kidney-protective effects of new treatments in early CKD.
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Several attempts for speech brain-computer interfacing (BCI) have been made to decode phonemes, sub-words, words, or sentences using invasive measurements, such as the electrocorticogram (ECoG), during auditory speech perception, overt speech, or imagined (covert) speech. Decoding sentences from covert speech is a challenging task. Sixteen epilepsy patients with intracranially implanted electrodes participated in this study, and ECoGs were recorded during overt speech and covert speech of eight Japanese sentences, each consisting of three tokens.

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Purpose: Stoma construction and closure are common surgical strategies in patients with colorectal cancer. The present study evaluated the influence of multiple incisional sites resulting from stoma closure on incisional hernia after colorectal cancer surgery.

Methods: The study included 1681 patients who underwent colorectal cancer surgery.

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  • Invasive brain-computer interfaces (BCIs) are being developed to help severely paralyzed patients communicate more effectively, using advances in intracranial electroencephalography (iEEG) and natural language processing.
  • Traditional BCIs relying on motor cortex signals may not work well for patients with motor diseases like ALS, prompting research into using visual cortex signals instead.
  • This study implemented a novel approach using multimodal embeddings and techniques like CLIP and StableDiffusion to decode iEEG signals into text and images, showing potential for enhancing communication for these patients.
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  • The CALLY index is a new biomarker that uses levels of C-reactive protein, serum albumin, and lymphocyte count to predict outcomes in colorectal cancer patients.
  • In a study of 578 stage II-III colorectal cancer patients who had surgery, a CALLY index score below 2 was linked to worse disease-free survival (DFS) and overall survival (OS).
  • The findings suggest that the CALLY index could serve as an independent predictor of long-term outcomes for colorectal cancer patients undergoing curative surgery.
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  • Correctly identifying the seizure onset zone (SOZ) is crucial for effective surgical treatment in focal epilepsy patients, and this paper addresses the challenges of using one patient’s EEG data to identify another's SOZ due to individual differences.
  • The authors propose a new method that utilizes domain adaptation and source patient selection, which enhances the SOZ identification performance when evaluated on data from 11 patients with epilepsy caused by focal cortical dysplasia.
  • Results indicate that this method outperforms existing techniques and has potential to identify SOZs that may be overlooked by specialists, although data from patients with residual seizures may hinder accuracy.
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Automatic seizure onset zone (SOZ) localization using interictal electrocorticogram (ECoG) improves the diagnosis and treatment of patients with medically refractory epilepsy. This study aimed to investigate the characteristics of phase-amplitude coupling (PAC) extracted from interictal ECoG and the feasibility of PAC serving as a promising biomarker for SOZ identification. We employed the mean vector length modulation index approach on the 20-s ECoG window to calculate PAC features between low-frequency rhythms (0.

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Background/aim: The prognostic outcome of the controlling nutritional status (CONUT) score in patients with colorectal liver metastases (CRLM) who underwent hepatectomy has not been investigated. The aim of this study was to investigate the prognostic value of preoperative CONUT score and other systemic inflammation-related biomarkers in patients who underwent hepatectomy for CRLM.

Patients And Methods: The subjects included 145 patients with CRLM who underwent hepatectomy and retrospectively investigated the association of preoperative CONUT score with disease-free survival (DFS), surgical failure-free survival (SFS), and overall survival (OS) using univariate and multivariate analyses.

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Objective: Vagus nerve stimulation (VNS) is a palliative surgery for drug-resistant epilepsy. The two objectives of this study were to (1) determine the seizure type most responsive to VNS and (2) investigate the preventive effect on status epilepticus (SE) recurrence.

Methods: We retrospectively reviewed 136 patients with drug-resistant epilepsy who underwent VNS implantation.

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Temporallobe epilepsy (TLE) has been conceptualized as a brain network disease, which generates brain connectivity dynamics within and beyond the temporal lobe structures in seizures. The hippocampus is a representative epileptogenic focus in TLE. Understanding the causal connectivity in terms of brain network during seizures is crucial in revealing the triggering mechanism of epileptic seizures originating from the hippocampus (HPC) spread to the lateral temporal cortex (LTC) by ictal electrocorticogram (ECoG), particularly in high-frequency oscillations (HFOs) bands.

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Article Synopsis
  • Epilepsy is caused by excessive electrical discharges, and current methods to identify seizure onset zones (SOZ) are time-consuming and rely heavily on expert judgment based on intracranial electroencephalogram (iEEG) data.
  • The article proposes a machine learning approach that segments iEEG data into 20-second intervals, using labeled data from experts to train classification models like support vector machines and neural networks, aiming to enhance diagnostic accuracy for SOZ detection.
  • The introduction of positive unlabeled (PU) learning allows for effective classification using minimal labeled data alongside a larger set of unlabeled data, achieving an average classification accuracy of 91.46% with just 105 minutes of labeled input.
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Purpose: Defunctioning loop ileostomy has been reported to reduce symptomatic anastomotic leakage after rectal cancer surgery; however, stoma outlet obstruction (SOO) is a serious postileostomy complication. We, therefore, explored novel risk factors for SOO in defunctioning loop ileostomy after rectal cancer surgery.

Methods: This is a retrospective study that included 92 patients who underwent defunctioning loop ileostomy with rectal cancer surgery at our institution.

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Background: Hemispherectomy is an optimal treatment for patients with Sturge-Weber syndrome (SWS) affecting the whole hemisphere; however, a consensus has not been reached regarding therapeutic choices for those with involvement of two to three lobes. In this study, we compared seizure and cognitive outcomes between medical and surgical treatment groups in patients with multilobar involvement.

Methods: We evaluated 50 patients with multilobar involvement.

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Focal cortical dysplasia is the most common malformation during cortical development, sometimes excised by epilepsy surgery and often caused by somatic variants of the mTOR pathway genes. In this study, we performed a genetic analysis of epileptogenic brain malformed lesions from 64 patients with focal cortical dysplasia, hemimegalencephy, brain tumors, or hippocampal sclerosis. Targeted sequencing, whole-exome sequencing, and single nucleotide polymorphism microarray detected four germline and 35 somatic variants, comprising three copy number variants and 36 single nucleotide variants and indels in 37 patients.

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Internal radiation therapy using Iodine-131 metaiodobenzylguanidine (I-MIBG) for neuroblastoma has been discussed whether a special application scheme for off-labeled drugs called "Kouchi-Shinsei" could be applied to neuroblastoma or not by the Evaluation Committee on Unapproved or Off-labeled Drug with High Medical Needs (the Committee); if the Committee determines that Kouchi-Shinsei is applicable, neuroblastoma indication is expected to be regulatory approved within a year. Since a NHI medical technical fee is not yet set for neuroblastoma, the Japanese Society of Nuclear Medicine surveyed health resource use via a questionnaire survey of medical institution that has conducted a Japanese Advanced Medical Care B clinical study in neuroblastoma. Results showed that the necessary total cost per patient is 1,847,451 JPY when calculated based on the Draft Proposal for Medical Examination Value (Ver.

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Objective: To analyze chronological changes in phase-amplitude coupling (PAC) and verify whether PAC analysis can diagnose epileptogenic zones during seizures.

Methods: We analyzed 30 seizures in 10 patients with mesial temporal lobe epilepsy who had ictal discharges with preictal spiking followed by low-voltage fast activity patterns on intracranial electroencephalography. We used the amplitude of two high-frequency bands (ripples: 80-200 Hz, fast ripples: 200-300 Hz) and the phase of three slow wave bands (0.

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Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the localization of epileptic focus. Most current AI solutions use this modality to analyze the EEG signals in an automated manner to identify the epileptic seizure focus. To develop AI system for identifying the epileptic focus, there are many recently-published AI solutions based on biomarkers or statistic features that utilize interictal EEGs.

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Neuromodulation therapy for epilepsy is the third treatment option after medical treatment with antiepileptic drugs and surgical treatment, such as epileptic focal resection. In addition to vagus nerve stimulation(VNS), deep brain stimulation(DBS)and responsive neurostimulation(RNS)have been approved in several countries. These therapies consist of an implantable device and stimulating electrodes.

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Accurate detection of epileptic seizures using electroencephalogram (EEG) data is essential for epilepsy diagnosis, but the visual diagnostic process for clinical experts is a time-consuming task. To improve efficiency, some seizure detection methods have been proposed. Regardless of traditional or machine learning methods, the results identify only seizures and non-seizures.

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. Identifying the seizure onset zone (SOZ) in patients with focal epilepsy is the critical information required for surgery. However, collecting this information is challenging, time-consuming, and subjective.

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Background/aim: Surgery for dialysis patients requires special attention because of their physical characteristics. This study aimed to investigate the short-term postoperative outcomes of colorectal cancer patients with chronic renal failure (CRF) on dialysis and aimed to investigate safer treatment options for these patients.

Patients And Methods: A total of 1,504 colorectal cancer patients who underwent primary resection between January 2008 and December 2018 were included.

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Because of the lack of highly skilled experts, automated technologies that support electroencephalogram (EEG)-based in epilepsy diagnosis are advancing. Deep convolutional neural network-based models have been used successfully for detecting epileptic spikes, one of the biomarkers, from EEG. However, a sizeable number of supervised EEG records are required for training.

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After establishing latent infection, some viruses can be reactivated by the alteration of host immunological conditions. First, we reviewed viruses that can cause neuronal damage by reactivation. Then we focused on the herpes simplex virus (HSV).

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