Search Results - "Kitazume, Yoshio"
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Objective evaluation for treat to target in Crohn’s disease
Published in Journal of gastroenterology (01-06-2020)“…Background Crohn’s disease (CD) is a chronic and destructive bowel disease; continued disease activity can lead to penetrating complications. With the recent…”
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Serum Leucine-Rich α2 Glycoprotein: A Novel Biomarker for Transmural Inflammation in Crohn's Disease
Published in The American journal of gastroenterology (01-06-2023)“…Leucine-rich alpha-2 glycoprotein (LRG) is a newly studied biomarker for inflammatory diseases. This study aimed to investigate whether LRG can be used for…”
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Feasibility of new fat suppression for breast MRI using pix2pix
Published in Japanese journal of radiology (01-11-2020)“…Purpose To generate and evaluate fat-saturated T1-weighted (FST1W) image synthesis of breast magnetic resonance imaging (MRI) using pix2pix. Materials and…”
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Association of AI-determined Kellgren–Lawrence grade with medial meniscus extrusion and cartilage thickness by AI-based 3D MRI analysis in early knee osteoarthritis
Published in Scientific reports (16-11-2023)“…The associations among Kellgren–Lawrence (KL) grade, medial meniscus extrusion (MME), and cartilage thickness in knee osteoarthritis (OA) remain insufficiently…”
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Crohn Disease: A 5-Point MR Enterocolonography Classification Using Enteroscopic Findings
Published in American journal of roentgenology (1976) (01-01-2019)“…The objectives of our study were to establish the efficacy of a 5-point MR enterocolonography classification for assessing Crohn disease (CD) activity, compare…”
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Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks
Published in Ultrasonic imaging (01-07-2020)“…We aimed to use deep learning with convolutional neural networks (CNNs) to discriminate images of benign and malignant breast masses on ultrasound shear wave…”
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Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
Published in Magnetic Resonance in Medical Sciences (01-01-2023)“…Purpose: To quantify bowel motility shown on cine MRI using the classical optical flow algorithm and compare it with balloon-assisted enteroscopy (BAE)…”
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The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review
Published in Diagnostics (Basel) (06-12-2020)“…Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to women's health. Thus, early detection and proper treatment can…”
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Transmural Remission Characterized by High Biologic Concentrations Demonstrates Better Prognosis in Crohn’s Disease
Published in Journal of Crohn's and colitis (16-06-2023)“…Abstract Background The importance and pathophysiology of transmural healing in patients with Crohn’s disease [CD] remains to be verified. We aimed to examine…”
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High b-value computed diffusion-weighted imaging for differentiating bowel inflammation in Crohn's disease
Published in European journal of radiology (01-12-2020)“…•cDWI1500 could effectively suppress intraluminal signals and improve contrast.•cDWI1500 was better at detecting lesions via plain MRE than aDWI800.•Plain MRE…”
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Crohn disease: magnetic resonance enterocolonography features of endoscopic ulcer stages reclassified with the healing process and the relationships to prognoses
Published in Japanese journal of radiology (01-05-2021)“…Purpose This study aimed to compare magnetic resonance enterocolonography (MREC) features among the endoscopic ulcer stages reclassified to include healing…”
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Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks
Published in Diagnostics (Basel) (06-11-2019)“…Deep convolutional generative adversarial networks (DCGANs) are newly developed tools for generating synthesized images. To determine the clinical utility of…”
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Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19
Published in Diagnostics (Basel) (19-08-2020)“…The purpose of this study was to use the Coronavirus Disease 2019 (COVID-19) Reporting and Data System (CO-RADS) to evaluate the chest computed tomography (CT)…”
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Magnetic resonance evaluation for small bowel strictures in Crohn’s disease: comparison with balloon enteroscopy
Published in Journal of gastroenterology (01-08-2017)“…Background Magnetic resonance (MR) imaging is the recommended technique for detection of small bowel lesions in Crohn’s disease. We aimed to evaluate the…”
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Combination of leucine-rich alpha-2 glycoprotein and fecal markers detect Crohn’s disease activity confirmed by balloon-assisted enteroscopy
Published in Intestinal research (01-01-2024)“…Background/Aims: Endoscopic activity confirmed by enteroscopy is associated with poor clinical outcome in Crohn’s disease (CD). We investigated which of the…”
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Can Deep Learning-Based Volumetric Analysis Predict Oxygen Demand Increase in Patients with COVID-19 Pneumonia?
Published in Medicina (Kaunas, Lithuania) (22-10-2021)“…Background and Objectives: This study aimed to investigate whether predictive indicators for the deterioration of respiratory status can be derived from the…”
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Prognostic implications of 62Cu-diacetyl-bis (N4-methylthiosemicarbazone) PET/CT in patients with glioma
Published in Annals of nuclear medicine (01-05-2018)“…Objective The potential of positron emission tomography/computed tomography using 62 Cu-diacetyl-bis ( N 4 -methylthiosemicarbazone) ( 62 Cu-ATSM PET/CT),…”
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Prediction of histological grade of hepatocellular carcinoma using quantitative diffusion-weighted MRI: a retrospective multivendor study
Published in British journal of radiology (05-02-2018)“…To evaluate the usefulness of quantitative diffusion-weighted (DW) imaging acquired by multivendor magnetic resonance units for predicting grade of…”
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Monitoring of disease activity in inflammatory bowel disease -balloon assisted endoscopy and MR enterography
Published in Nippon Shōkakibyō Gakkai zasshi (10-03-2021)Get more information
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Efficient Anomaly Detection with Generative Adversarial Network for Breast Ultrasound Imaging
Published in Diagnostics (Basel) (04-07-2020)“…We aimed to use generative adversarial network (GAN)-based anomaly detection to diagnose images of normal tissue, benign masses, or malignant masses on breast…”
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