Relative strengths of three linearizations of receptor availability: Saturation, Inhibition, and Occupancy plots

Relative strengths of three linearizations of receptor availability: Saturation, Inhibition, and Occupancy plots


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نویسندگان: سید مصطفی اعرج خدایی

کلمات کلیدی: Molecular Imaging, PET, Statistical Analysis, Binding potential, Inhibition, Occupancy, Positron Emission Tomography (PET), Saturation

نشریه: 18212 , 2 , 63 , 2022

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نویسنده ثبت کننده مقاله سید مصطفی اعرج خدایی
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه مرکز تحقیقات طب تلفیقی
کد مقاله 76129
عنوان فارسی مقاله Relative strengths of three linearizations of receptor availability: Saturation, Inhibition, and Occupancy plots
عنوان لاتین مقاله Relative strengths of three linearizations of receptor availability: Saturation, Inhibition, and Occupancy plots
ناشر 5
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ خیر
عنوان نشریه (خارج از لیست فوق)
نوع مقاله Review Article
نحوه ایندکس شدن مقاله ایندکس شده سطح یک – ISI - Web of Science
آدرس لینک مقاله/ همایش در شبکه اینترنت

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We derived three widely used linearizations from the definition of receptor availability in molecular imaging with Positron Emission Tomography. The purpose of the present research was to determine the convergence of the results of the three methods in terms of three parameters, occupancy (s), distribution volume of the non-displaceable binding compartment (VND), and binding potential of the radioligand (BPND), in the absence of a gold standard. We tested 104 cases culled from the literature and calculated the goodness of fit of each of the Least Squares (LSM) and Deming II (DM) methods of linear regression when applied to the determination of the three main parameters, s, VND, and BPND, using the goodness of fit parameters R2, coefficient of variation (RMSE), and ‖X‖_∞ with both regression methods. We observed superior convergence among the values of s, VND, and BPND for the Inhibition and Occupancy plots. The Inhibition Plot emerged as the plot with a slightly higher degree of convergence (based on R2, RMSE and ‖X‖_∞ value). With two regression methods, Least Squares (LSM) and Deming II (DM), the estimated values of s, VND, and BPND generally converged. The Inhibition and Occupancy plots yielded the best fits to the data, according to the goodness of fit parameters, due primarily to the absent commingling of the dependent and independent variables tested with the Saturation (original Lassen) plot. In the presence of noise, the Inhibition and Occupancy plots yielded higher convergence.

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سید مصطفی اعرج خداییدوم

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