目的:用核子醫學的方法偵測腎臟疾病,主要目的係在了解腎臟在疾病侵害下,其功能受影響的程度,其中最重要的生理檢查包括腎臟血流量、有效腎血漿流量(ERPF)、腎絲率(GFR)及腎臟排出功能等。而這些方法會因核醫藥物劑量或ROI(region of interest)圈選的位置及大小所影響,本研究目的在探討ERPF分析數值於操作人員間之誤差,進而擬定正確且一致的分析方式。材料與方法:我們選取2020年至2021年間60例腎功能檢查影像進行回溯性分析,對原始影像進行去識別化並用數字代替,並由5名放射師分別對影像進行後處理,分析ERPF數值計算平均值、標準差及變異係數,最後將左右兩側腎臟ERPF值變異係數最大前5個分析影像提出討論。經討論過後,所有放射科師以最接近平均值的ERPF分析影像作為參考進行再次分析。結果:60位病人影像經由5位放射師分析的ERPF變異係數落在3%~53%之間。左右ERPF值變異係數最大前5位則落在32%~53%之間。探討原因發現變異較大之影像均為腎臟功能有問題且ERPF數值偏低之影像,取得一致性後再次分析,變異係數明顯下降。
Purpose: Using nuclear medicine to detect kidney disease, the main purpose is to exam the degree to which the function is affected by the kidney disease. The most important physiological exams include renal blood flow, effective renal plasma flow (ERPF), glomerular filtration rate (GFR) and renal excretion function. These methods will be affected by the drug dose or the location and size of ROI (region of interest). The purpose of this study is to explore the deviation of ERPF analysis values between different technologist, and then to formulate a correct and consistent analysis method. Research Method: Select about 60 cases of kidney function examinations between 2020 to 2021, de-identify the original images and replace them with numbers, and post-process the images respectively by 5 radiologists. After analyzing the ERPF values, the ten patients with the largest coefficient of variation were found. All the radiologists used the image of ERPF which was the closest to the average as the standard to analysis again. Results: The ERPF coefficient of variation of five radiologists analysist were between 3%~53%. The largest ten ERPF coefficient of variation values were between 32%~53%. After analysis again, the coefficient of variation had significantly decreased.