ASSESMENT OF BRAIN EDEMA BY DIFFUSION-WEIGHTED MAGNETIC

科学研究費補助金研究成果報告書研究種目: 基盤研究(C)研究期間: 1998～1999課題番号: 10670843研究代表者: 早瀬 ヨネ子（滋賀医科大学・医学部・助手）研究分担者: 井藤 隆太（滋賀医科大学・医学部・助手

Preparation and Characterization of Human Recombinant Protein 1/Clara Cell Mr 10 000 Protein

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Machine Learning for Diagnosis of AD and Prediction of MCI Progression From Brain MRI Using Brain Anatomical Analysis Using Diffeomorphic Deformation.

Background:With the growing momentum for the adoption of machine learning (ML) in medical field, it is likely that reliance on ML for imaging will become routine over the next few years. We have developed a software named BAAD, which uses ML algorithms for the diagnosis of Alzheimer\u27s disease (AD) and prediction of mild cognitive impairment (MCI) progression.Methods:We constructed an algorithm by combining a support vector machine (SVM) to classify and a voxel-based morphometry (VBM) to reduce concerned variables. We grouped progressive MCI and AD as an AD spectrum and trained SVM according to this classification. We randomly selected half from the total 1,314 subjects of AD neuroimaging Initiative (ADNI) from North America for SVM training, and the remaining half were used for validation to fine-tune the model hyperparameters. We created two types of SVMs, one based solely on the brain structure (SVMst), and the other based on both the brain structure and Mini-Mental State Examination score (SVMcog). We compared the model performance with two expert neuroradiologists, and further evaluated it in test datasets involving 519, 592, 69, and 128 subjects from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Aging (AIBL), Japanese ADNI, the Minimal Interval Resonance Imaging in AD (MIDIAD) and the Open Access Series of Imaging Studies (OASIS), respectively.Results:BAAD\u27s SVMs outperformed radiologists for AD diagnosis in a structural magnetic resonance imaging review. The accuracy of the two radiologists was 57.5 and 70.0%, respectively, whereas, that of the SVMst was 90.5%. The diagnostic accuracy of the SVMst and SVMcog in the test datasets ranged from 88.0 to 97.1% and 92.5 to 100%, respectively. The prediction accuracy for MCI progression was 83.0% in SVMst and 85.0% in SVMcog. In the AD spectrum classified by SVMst, 87.1% of the subjects were Aβ positive according to an AV-45 positron emission tomography. Similarly, among MCI patients classified for the AD spectrum, 89.5% of the subjects progressed to AD.Conclusion:Our ML has shown high performance in AD diagnosis and prediction of MCI progression. It outperformed expert radiologists, and is expected to provide support in clinical practice

Investigation for the development of the method of evaluating regional lung function in the upright position using vertically opened MR system.

科学研究費補助金研究成果報告書研究種目: 基盤研究(B)研究期間: 2001～2002課題番号: 13470182研究代表者: 村田 喜代史（滋賀医科大学・医学部・教授）研究分担者: 高橋 雅士（滋賀医科大学・医学部・助教授）研究分担者: 井藤 隆太（滋賀医科大学・医学部・講師）研究分担者: 高櫻 竜太郎（滋賀医科大学・医学部・助手

Investigation for the development of the three-dimensional and quantitative method of evaluating diaphragmatic and chest wall motion in the upright position using a vertically opened MR system

科学研究費補助金研究成果報告書研究種目: 基盤研究(B)研究期間: 2003～2004課題番号: 15390360研究代表者: 村田 喜代史（滋賀医科大学・医学部・教授）研究分担者: 高橋 雅士（滋賀医科大学・医学部・助教授）研究分担者: 井藤 隆太（滋賀医科大学・医学部・講師）研究分担者: 高櫻 竜太郎（滋賀医科大学・医学部・助手

One-Step Detection of the 2009 Pandemic Influenza A(H1N1) Virus by the RT-SmartAmp Assay and Its Clinical Validation

<div><h3>Background</h3><p>In 2009, a pandemic (pdm) influenza A(H1N1) virus infection quickly circulated globally resulting in about 18,000 deaths around the world. In Japan, infected patients accounted for 16% of the total population. The possibility of human-to-human transmission of highly pathogenic novel influenza viruses is becoming a fear for human health and society.</p> <h3>Methodology</h3><p>To address the clinical need for rapid diagnosis, we have developed a new method, the “RT-SmartAmp assay”, to rapidly detect the 2009 pandemic influenza A(H1N1) virus from patient swab samples. The RT-SmartAmp assay comprises both reverse transcriptase (RT) and isothermal DNA amplification reactions in one step, where RNA extraction and PCR reaction are not required. We used an exciton-controlled hybridization-sensitive fluorescent primer to specifically detect the HA segment of the 2009 pdm influenza A(H1N1) virus within 40 minutes without cross-reacting with the seasonal A(H1N1), A(H3N2), or B-type (Victoria) viruses.</p> <h3>Results and Conclusions</h3><p>We evaluated the RT-SmartAmp method in clinical research carried out in Japan during a pandemic period of October 2009 to January 2010. A total of 255 swab samples were collected from outpatients with influenza-like illness at three hospitals and eleven clinics located in the Tokyo and Chiba areas in Japan. The 2009 pdm influenza A(H1N1) virus was detected by the RT-SmartAmp assay, and the detection results were subsequently compared with data of current influenza diagnostic tests (lateral flow immuno-chromatographic tests) and viral genome sequence analysis. In conclusion, by the RT-SmartAmp assay we could detect the 2009 pdm influenza A(H1N1) virus in patients' swab samples even in early stages after the initial onset of influenza symptoms. Thus, the RT-SmartAmp assay is considered to provide a simple and practical tool to rapidly detect the 2009 pdm influenza A(H1N1) virus.</p> </div

Sex-Associated Differences in Protein l Values in Urine: Immunochemical Detection of Protein l in Genital Tissues

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