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Neuroinflammation as a therapeutic target in Huntington's disease

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Neural Regeneration Research 2025年第3期20卷 817-818页

作者： Andrea Kwakowsky Thulani H.Palpagama Center for Brain Research and Department of Anatomy and medical imaging Faculty of Medical and Health SciencesUniversity of AucklandAucklandNew Zealand Pharmacology and Therapeutics School of MedicineGalway Neuroscience CentreUniversity of GalwayGalwayIreland

In 1872, George Huntington presented his essay “On Chorea” to the Meigs and Mason Academy of Medicine and, in doing so, detailed a disease that would later bear his name. Huntington's disease(HD) is a genetic, neurodegenerative disease that manifests as the loss of motor control,cognitive impairment,and mood and psychiatric changes in paents.

关键词： Huntington inflammation Medicine

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Glial response in the midcingulate cortex in Huntington’s disease

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Neural Regeneration Research 2025年第1期20卷 207-208页

作者： Thulani H.Palpagama Andrea Kwakowsky Center for Brain Research and Department of Anatomy and medical imaging Faculty of Medical and Health SciencesUniversity of AucklandAucklandNew Zealand Pharmacology and Therapeutics School of MedicineGalway Neuroscience CenterUniversity of GalwayGalwayIreland

Huntington’s disease(HD)is a genetic disease characterized by the progressive degeneration of the striatum and *** can present with a variety of symptoms that can broadly be classified into motor symptoms,inclusive of choreatic movements and rigidity,mood and psychiatric symptoms,such as depression and apathy,and cognitive symptoms,such as cognitive *** causal mutation underlying HD results from an expansion of a CAG repeat sequence on the IT15 gene,resulting in the formation and accumulation of a mutant huntingtin protein.

关键词： Huntington degeneration cortex

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Using Cross Entropy as a Performance Metric for Quantifying Uncertainty in DNN Image Classifiers: An Application to Classification of Lung Cancer on CT Images

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Journal of Biomedical Science and Engineering 2024年第1期17卷 1-12页

作者： Eri Matsuyama Masayuki Nishiki Noriyuki Takahashi Haruyuki Watanabe faculty of Informatics University of Fukuchiyama Kyoto Japan Graduate School of radiological sciences International University of Health and Welfare Tochigi Japan School of Health sciences Fukushima Medical University Fukushima Japan School of radiological Technology Gunma Prefectural College of Health Sciences Gunma Japan

Cross entropy is a measure in machine learning and deep learning that assesses the difference between predicted and actual probability distributions. In this study, we propose cross entropy as a performance evaluation metric for image classifier models and apply it to the CT image classification of lung cancer. A convolutional neural network is employed as the deep neural network (DNN) image classifier, with the residual network (ResNet) 50 chosen as the DNN archi-tecture. The image data used comprise a lung CT image set. Two classification models are built from datasets with varying amounts of data, and lung cancer is categorized into four classes using 10-fold cross-validation. Furthermore, we employ t-distributed stochastic neighbor embedding to visually explain the data distribution after classification. Experimental results demonstrate that cross en-tropy is a highly useful metric for evaluating the reliability of image classifier models. It is noted that for a more comprehensive evaluation of model perfor-mance, combining with other evaluation metrics is considered essential. .

关键词： Cross Entropy Performance Metrics DNN Image Classifiers Lung Cancer Prediction Uncertainty

Neuroimaging features in a patient with non-ketotic hyperglycaemic seizures: A case report

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World Journal of Clinical Cases 2024年第5期12卷 1004-1009页

作者： Jing Wu Huijie Feng Yaxiong Zhao Junfeng Li Ting Li Kefeng Li Department of Radiology Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000Shanxi ProvinceChina Changzhi Key Lab of Functional imaging for Brain Diseases Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000Shanxi ProvinceChina faculty of Applied sciences Macao Polytechnic UniversityMacao 999078China

BACKGROUND Non-ketotic hyperglycaemic(NKH)seizures are a rare neurological complication of diabetes caused by hyperglycaemia in non-ketotic and non-hyperosmotic *** clinical characteristics of NKH seizures are atypical and lack unified diagnostic criteria,leading to potential misdiagnoses in the early stages of the *** SUMMARY This report presents a rare case of NKH seizures in a 52-year-old male patient with a history of type 2 diabetes *** performed comprehensive magnetic resonance imaging(MRI)studies at admission,12 d post-admission,and 20 d *** imaging techniques included contrast-enhanced head MRI,T2-weighted imaging(T2WI),fluid-attenuated inversion recovery(FLAIR),diffusion-weighted imaging,susceptibility-weighted imaging,magnetic reso-nance spectroscopy(MRS),and magnetic resonance *** the time of admission,T2WI and FLAIR of the cranial MRI showed that the left parieto-occipital cortex had gyrus-like swelling and high signal,and subcortical stripes had low *** showed a reduced N-acetylaspartate peak and increased creatine and choline peaks in the affected areas.A follow-up MRI 20 d later showed that the swelling and high signal of the left parieto-occipital cortex had disappeared,and the low signal of the subcortex had *** This case study provides valuable insights into the potential pathogenesis,diagnosis,and treatment of NKH *** comprehensive MRI findings highlight the potential utility of various MRI sequences in diagnosing and characterizing NKH seizures.

关键词： Non-ketotic hyperglycaemia seizures Magnetic resonance imaging Magnetic resonance spectroscopy Diabetes Case report

Functional Confirmation Using a medical X-Ray System of a Semiconductor Survey Meter

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Open Journal of Radiology 2024年第1期14卷 1-13页

作者： Katsunao Suzuki Toru Negishi Yoh Kato Yasuhisa Kono Michiharu Sekimoto Department of radiological Technology Kariya Toyota General Hospital Kariya Japan Department of radiological sciences Graduate School of Human Health Science Tokyo Metropolitan University Tokyo Japan Department of radiological Technology Faculty of Medical Technology Niigata University of Health and Welfare Niigata Japan

In recent years, semiconductor survey meters have been developed and are in increasing demand worldwide. This study determined if it is possible to use the X-ray system installed in each medical facility to calculate the time constant of a semiconductor survey meter and confirm the meter’s function. An additional filter was attached to the medical X-ray system to satisfy the standards of N-60 to N-120, more copper plates were added as needed, and the first and second half-value layers were calculated to enable comparisons of the facility’s X-ray system quality with the N-60 to N-120 quality values. Next, we used a medical X-ray system to measure the leakage dose and calculate the time constant of the survey meter. The functionality of the meter was then checked and compared with the energy characteristics of the meter. The experimental results showed that it was possible to use a medical X-ray system to reproduce the N-60 to N-120 radiation quality values and to calculate the time constant from the measured results, assuming actual leakage dosimetry for that radiation quality. We also found that the calibration factor was equivalent to that of the energy characteristics of the survey meter.

关键词： Semiconductor Survey Meter Functional Confirmation medical X-Ray System Calibration Factor Time Constant

Massive Epistaxis Revealing a Post-Traumatic Aneurysm of the Internal Carotid Artery: A Clinical Case and Review of the Literature

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第2期13卷 120-125页

作者： Yannick Mossus Maguy Mbede Roger Meva’a Biouélé Leonel Atanga Adèle-Rose Ngo Nyeki Pierre Ongolo Zogo François Djomou Alexis Ndjolo Department of Ophthalmology ENT and Stomatology Faculty of Medicine and Biomedical Sciences University of Yaoundé 1 Yaoundé Cameroon Department of medical imaging Faculty of Medicine and Biomedical Sciences University of Yaoundé 1 Yaoundé Cameroon

Internal carotid artery (ICA) aneurysms are an unusual but serious cause of epistaxis. This epistaxis is massive and sometimes uncontrollable threatening the vital prognosis of patients. We report the case of a 16-year-old adolescent received in emergency with severe bilateral epistaxis, asthenia and grade-3 left exophthalmos. In his history, the subject had been the victim of an assault six months before consultation. He had received blows on the cephalic extremity with light but repeated epistaxis. The treatment consisted to blood products transfusion and local compression by sterile gazes. An ICA aneurysm in sphenoid sinus has been confirmed in a craniofacial CT scan coupled to vascular opacification. Although the ICA has a variable course in contact with the sphenoid sinus, massive epistaxis would be the consequence of a pronounced dehiscence of the ICA in the sphenoid sinus, particularly in a traumatic context. In front of this type of epistaxis in our context, general practitioners must be able to suspect a ruptured ICA aneurysm in the presence of exophthalmos and a notion of old or recent cranio-encephalic injury. Additionally, due to the high morbidity and mortality of this condition, a monitoring algorithm is necessary for patients with head trauma to facilitate early detection.

关键词： Aneurysm Internal Carotid Artery Head Trauma Epistaxis

Optimizing prediction models for pancreatic fistula after pancreatectomy:Current status and future perspectives

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World Journal of Gastroenterology 2024年第10期30卷 1329-1345页

作者： Feng Yang John A Windsor De-Liang Fu Department of Pancreatic Surgery Huashan HospitalShanghai Medical CollegeFudan UniversityShanghai 200040China Surgical and Translational Research Centre Faculty of Medical and Health SciencesUniversity of AucklandAuckland 1142New Zealand

Postoperative pancreatic fistula(POPF)is a frequent complication after pancre-atectomy,leading to increased morbidity and *** prediction models for POPF has emerged as a critical focus in surgical *** over sixty models following pancreaticoduodenectomy,predominantly reliant on a variety of clinical,surgical,and radiological parameters,have been documented,their predictive accuracy remains suboptimal in external validation and across diverse *** models after distal pancreatectomy continue to be pro-gressively reported,their external validation is eagerly ***,POPF prediction after central pancreatectomy is in its nascent stage,warranting urgent need for further development and *** potential of machine learning and big data analytics offers promising prospects for enhancing the accuracy of prediction models by incorporating an extensive array of variables and optimizing algorithm ***,there is potential for the development of personalized prediction models based on patient-or pancreas-specific factors and postoperative serum or drain fluid biomarkers to improve accuracy in identifying individuals at risk of *** the future,prospective multicenter studies and the integration of novel imaging technologies,such as artificial intelligence-based radiomics,may further refine predictive *** these issues is anticipated to revolutionize risk stratification,clinical decision-making,and postoperative management in patients undergoing pancre-atectomy.

关键词： Pancreatic fistula Pancreaticoduodenectomy Distal pancreatectomy Central pancreatectomy Prediction model Machine learning Artificial intelligence

pH-responsive metal nanoparticles as high contrast theranostic agents for selective imaging and synergistic cancer therapy

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Science China Chemistry 2024年第9期67卷 3063-3070页

作者： Sichao Tian Xiaofeng He Xiao Wu Dongxue Hu Qing-Hua Xu Department of Chemistry National University of Singapore National University of Singapore (Suzhou) Research Institute Institute of Medicinal Plant Development Chinese Academy of Medical Sciences and Peking Union Medical College Department of Biological sciences Faculty of Science National University of Singapore

The low signal-to-noise ratio(S/N) and single functionality of fluorescence imaging agents have limited their practical applications. Bright two-photon excitation(2PE) imaging probes are highly desirable in vivo with larger imaging depth, minor autofluorescence background, and less photodamage. Herein, we developed responsive aggregated gold nanoparticles(Au NPs)as high contrast 2PE imaging agents, capable of emitting red fluorescence upon excitation of near-infrared(NIR) laser and possessing a high signal-to-noise ratio(S/N of 2,475). By forming aggregates in situ inside tumor tissue, doxorubicin hydrochloride(DOX)-loaded mix-charged gold nanoparticles(DOX-MC-Au NPs) were utilized to act as selective fluorescence imaging probes and precise therapy agents. These high-contrast theranostic agents offer a promising potential for precise cancer imaging and therapy, which might open a new venue to multifunctional and noninvasive theranostics.

关键词： metal nanoparticles two-photon excitation high contrast imaging agents fluorescence imaging cancer therapy

New insights into the role of the endoplasmic reticulum in microglia

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Neural Regeneration Research 2024年第7期19卷 1397-1398页

作者： Veronika E.Neubrand M.Rosario Sepúlveda Department of Cell Biology Faculty of SciencesUniversity of GranadaGranadaSpain

Microglial cells are the only resident immune cells in the central nervous system and constitute its frontline *** are extremely reactive against infections,trauma,or toxins,but are also responsible for mediating inflammation,taking part in the pathogenic course of many neuropathologies(Sierra et al.,2019).Cell-specific staining,ultrastructural analysis by transmission electron microscopy(TEM),or two-photonmicroscopy imaging have been relevant for the characterization of microglia as well as their cell-cell interactions。

关键词： inflammation reticulum

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