| Japanese |
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| Title | レノグラムのシミュレーションモデルによる腎機能評価 |
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| Subtitle | 原著 |
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| Authors | 岡田敏夫*, 岡田正彦** |
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| Organization | *新潟大学医学部小児科, **新潟大学脳研究所神経生理 |
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| Journal | 核医学 |
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| Volume | 13 |
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| Number | 2 |
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| Page | 111-122 |
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| Year/Month | 1976/4 |
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| Article | 原著 |
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| Publisher | 日本核医学会 |
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| Abstract | 「I. はじめに」腎疾患によって起る腎機能障害の程度を調べるための検査として血液理化学的検査, 異物排泄機能検査, クリアランス検査, 腎生検など多くの方法がありその臨床的価値は広く認められている. しかし, これらの検査法の中には, 検査手技の煩雑なものや患者に少なからぬ苦痛を与えるものも多い. ラジオアイソトープを利用したレノグラムも腎機能検査の1つであるが, これは腎疾患患者に比較的簡単に施行でき, また患者に与える侵襲も極めて少ない安全な検査法である. 検査に用いるラジオアイソトープは微量であり, その放射線量はレントゲン撮影時の被曝量に比してはるかに少なく, 無侵襲生体計測法の1つと言うこともできる. レノグラムは, ラジオアイソトープ標識物質を静脈内にすみやかに注入した後, 腎臓におけるγ線量の変化を経時的に体外計測したもので, 正常例ではFig.1に示すR(t)のような曲線となる. この検査は, 腎臓の循環動態, 排泄機能, 下部尿路系の閉塞の有無など多くの情報を左右の腎臓について別々に把握できる方法として有用であることが認められている. |
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| Practice | 臨床医学：一般 |
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| English |
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| Title | A Method to Estimate Renal Function with a Digital Computer Model of the Radioisotope Renogram |
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| Subtitle | Original Articles |
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| Authors | Toshio OKADA, Masahiko OKADA |
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| Organization | Department of Pediatrics, Niigata University School of Medicine, Department of Neurophysiology, Brain Research Institute, Niigata Univesity |
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| Journal | The Japanese Journal of nuclear medicine |
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| Volume | 13 |
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| Number | 2 |
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| Page | 111-122 |
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| Year/Month | 1976/4 |
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| Article | Original article |
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| Publisher | THE JAPANESE SOCIETY OF NUCLEAR MEDICINE |
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| Abstract | [Summary] A method to estimate the values of several renal function tests from the renogram has been developed. In order to quantify the renogram, a mathematical model of the renogram based on physiological system of the kidney was developed. This model is chiefly composed of several differential equations which contain 5 Parameters. Computer simulations were done so as to make sure of the property of the model, changing each one of 5 parameters. The model successfully simulates every pattern of the renogram. It was proved that the characteristics of the renogram could be summarized to 5 parameters. Each parameter value can be measured from tracings (radioactivity) recorded by counters directed at each kidney and the bladder. It is difficult to interprete the physiological meaning of each parameter. So we tried to estimate the values of several renal function tests from 5 parameter values applying the multivariate analysis (multiple regression). The analyses were performed in 102 cases. 6 linear predicting functions were gotten (p<0.01). These equations made it possible to compute the values of 6 renal function tests, i.e., a PSP-test, a glomerular filtration rate, a effective renal plasma flow, blood urea nitrogen, systolic blood pressure and diastolic blood pressure from the renogram. |
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| Practice | Clinical medicine |
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