Japanese
TitleRadioligandassayの誤差解析
Subtitle短報
Authors今村恵子*, 佐々木康人**, 藤井正道*, 染谷一彦**
Authors(kana)
Organization*聖マリアンナ医科大学放射線医学教室, **聖マリアンナ医科大学第3内科学教室
Journal核医学
Volume16
Number2
Page251-254
Year/Month1979/4
Article報告
Publisher日本核医学会
Abstract「I. はじめに」Radioligandassayにおいて, その標準試料のデータに曲線をあてはめることに関しては多くの研究がなされているが, その曲線を用いて読みとられる未知試料の濃度にまつわる誤差, すなわち, 標準曲線の信頼性に関する考察は多くないと思われる. われわれは, 標準曲線をlogistic函数にあてはめて解析しているが, その信頼幅をも同型のlogistic函数で表わすことを試み, 適合度も満足できるものであったので報告する. その結果, 未知試料の濃度の推定誤差は電算機による一連の解析の中で計算することが可能となった. 「II. 方法と結果」標準曲線にはlogistic函数, y=a-d/1+(x/c)b +d (1) をあてはめ, 濃度xに対するresponse y(B/TまたはF/T) の回帰分析からパラメータa〜dを定めた. 未知試料の濃度は式(1)から導かれる.
Practice臨床医学:一般
Keywordsradioligandassay, data analysis logistic function
English
TitleError analysis in radioligandassay
SubtitleShort Communication
AuthorsKeiko IMAMURA, Yasuhito YASAKI*, Masamichi Fujii, Kazuhiko Someya*
Authors(kana)
OrganizationDepartment of Radiology, and *Department of the Third Internal Medicine St. Marianna University School of Medicne
JournalThe Japanese Journal of nuclear medicine
Volume16
Number2
Page251-254
Year/Month1979/4
ArticleReport
PublisherTHE JAPANESE SOCIETY OF NUCLEAR MEDICINE
Abstract[Summary] Although the standard curves for radioligandassays have been successfully fitted by a logistic function, the confidence limit of the fitted curve has been scarecely treated from the standpoint to calculate the dose estimate error of unknowns. As the equation of the confidence limits cannot be resolved algebraically for dose in case of the logistic function, computation of the dose estimate error requires to describe the confidence curve by some mathematical function. The model of logistic function was found to give a satisfactory good fit for a confidence curve also. Thus, it no longer needs to plot the confidence limits on a graph, with subsequent reading of dose estimate errors for unknowns. The relation between the dose concentration and dose estimate error (in %CV) was approximately symmetrical around the midrange. For most of the radioligandassays, the dose estimate error increases to more than 50% (2σ) when the relative difference between the observed response and the fitted asymptote is less than 10%. The dose estimate errors for higher and lower doses are nearly equal around the midrange, and the one for higher dose side becomes dominant in the high dose region and the one for lower dose side in the low dose region.
PracticeClinical medicine
Keywordsradioligandassay, data analysis logistic function

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