References
- 장현영, 신선영, 이현주, 우재룡, 이호영. IRMA법 Curve에 관하여. 대한핵의학기술학회지.2012;16(3):161
- [수치해석]곡선적합(Curve Fitting), 보간법, 보외법, 선형 보간법, 스플라인 보간법, 회귀분석: http://www.google.co.kr
- 서일택. 핵의학 검사기술학. 제4판. 고려의학. 2010.
- DREAM Gamma-10 USER MANUAL p.37-38
Purpose The principle of nuclear medicine test is divided into two main categories: competition(radioimmunoassay, RIA) and noncompetitive reaction(Immunoradiometric assay, IRMA). It is known that the curve fitting method, which is commonly used in inspection field, uses Spline interpolation in RIA method and Linear interpolation method in IRMA method. Among them, the insulin test using the IRMA test showed a significant difference, especially at low concentrations, despite the same algorithm of linear interpolation between fully automated radio immunoassay analyzers. In this study, we aim to obtain results from applying two different of algorithm using fully automated radio immunoassay analyzers including Gamma pro, Gamma 10, Cobra, and SR300. Materials and Methods A total of 30 test samples were selected for the test of TSH, ferritin, C-peptide, and insulin serum levels. Test was performed by IRMA method. We compared the difference in the results of applying the linear interpolation method and the spline interpolation method to Gamma Pro, Gamma 10, Cobra, and SR300 equipment. Results Two-way ANOVA was used for statistical analysis. The significance level was applied as P <0.05. The results of TSH, ferritin, C-peptide, and insulin tests were compared between the fully automated radio immunoassay analyzers. There was a significant difference between ferritin, C-peptide, and insulin serum levels(P<0.001). TSH didn't show any significant different between the devices(P=0.29). In the difference between linear and spline interpolation, there was no significant difference between insulin test(P=0.08), TSH test(P=0.81), and Ferritin test(P=0.06). However, C-peptide test showed a significant difference(P=0.03). Especially, the insulin test showed significant difference in lower ranges. As a result of comparing and analyzing the difference between the two interpolation methods, the devices in the low concentration group showed significant difference(P<0.001). Conclusion In case of new equipment in the laboratory it is necessary to recognize that there is a difference in the curve fitting method for each automated radio immunoassay analyzers in the low concentration area when the principle of inspection is IRMA method.
목적: 분당서울대병원 검체 검사실에서는 노후화된 전자동방사면역측정기의 교체로 인하여 새로운 자동화 장비가 도입이 되어, 검사원리가 IRMA법인 Insulin 검사로 장비 간 비교실험을 하게 되었다. 실험결과 장비간에 동일한 알고리즘인 선형 보간법을 적용하였음에도 불구하고 특히 저농도값에서 현저한 값 차이를 보였다. 이에 실험실내 보유중인 SR300, Gamma 10, Gamma Pro, Cobra 감마카운터 각각의 장비에 2가지의 알고리즘을 다르게 적용시켰을 때 값 차이를 알아보고자 하였다. 대상 및 방법: 검사원리가 IRMA법인 검사법 중 주로 자동화 장비에 검사가 시행 되고 있는 TSH, Ferritin, C-peptide, Insulin 4종목을 각각 10검체씩 저, 중, 고농도 값으로 선별하여 총 30개씩 동일한 검사항목에 대해서 SR300, Gamma 10, Gamma Pro, Cobra 카운터 장비에 선형 보간법과 스플라인 보간법으로 적용했을 때의 결과 값 차이를 비교하여 보았다. 결과: TSH, Ferritin, C-Peptide, Insulin 항목의 결과값에 선형 보간법과 스플라인 보간법을 다르게 적용시켜 장비간 상관성 검사를 시행한 결과 결정계수