Quantitative angiographic and statistical methods to assess serial changes in coronary luminal diameter and implications for atherosclerosis regression trials.

作者: C.Michael Gibson , Tamas Sandor , Peter H. Stone , Richard C. Pasternak , Bernard Rosner

DOI: 10.1016/0002-9149(92)91222-P

关键词: RadiologyCardiologyAnalysis of varianceAtherosclerosis regressionStandard errorInternal medicineSurgeryIntraclass correlationCoronary artery diseasePercentage pointMedicineSample size determinationLinear regression

摘要: The purpose of this study was (1) to determine a threshold for categorizing individual coronary lesions as either significantly progressing or regressing, (2) whether multiple within patients progress at independent rates, and (3) calculate sample sizes atherosclerosis regression trials. Seventeen with 46 significant (2.7 lesions/patient) underwent repeat arteriography 3.0 years apart. With use the standard error mean change in diameter from initial catheterization across 5 pairs consecutive end-diastolic frames, were categorized (p less than 0.01) regressing if there 0.27 mm minimum 7.8 percent point stenosis. can also be analyzed continuous variable using patient primary unit analysis. A lesion-specific analysis accomplished model that accounts intraclass correlation (rho) degree among patients. correlations stenosis (rho = -0.24) low, indicating disease progression different is nearly independent. model, 50 per treatment group would permit detection 5.5% difference between means 2.7% percentage (not percent) stenosis.(ABSTRACT TRUNCATED AT 250 WORDS)

参考文章(18)
R H Selzer, C Hagerty, S P Azen, M Siebes, P Lee, A Shircore, D H Blankenhorn, Precision and reproducibility of quantitative coronary angiography with applications to controlled clinical trials. A sampling study. Journal of Clinical Investigation. ,vol. 83, pp. 520- 526 ,(1989) , 10.1172/JCI113913
Bernard Rosner, Multivariate Methods for Clustered Binary Data with More than One Level of Nesting Journal of the American Statistical Association. ,vol. 84, pp. 373- 380 ,(1989) , 10.1080/01621459.1989.10478781
Tamas Sandor, J.Richard Spears, Sven Paulin, Densitometric Determination Of Changes In The Dimensions Of Coronary Arteries Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series. ,vol. 0314, pp. 263- 272 ,(1981) , 10.1117/12.933057
S Ellis, W Sanders, C Goulet, R Miller, K C Cain, J Lesperance, M G Bourassa, E L Alderman, Optimal detection of the progression of coronary artery disease: comparison of methods suitable for risk factor intervention trials. Circulation. ,vol. 74, pp. 1235- 1242 ,(1986) , 10.1161/01.CIR.74.6.1235
B G Brown, E L Bolson, H T Dodge, Arteriographic assessment of coronary atherosclerosis. Review of current methods, their limitations, and clinical applications. Arteriosclerosis, Thrombosis, and Vascular Biology. ,vol. 2, pp. 2- 15 ,(1982) , 10.1161/01.ATV.2.1.2
J R Spears, T Sandor, A V Als, M Malagold, J E Markis, W Grossman, J R Serur, S Paulin, Computerized image analysis for quantitative measurement of vessel diameter from cineangiograms. Circulation. ,vol. 68, pp. 453- 461 ,(1983) , 10.1161/01.CIR.68.2.453
Tamas Sandor, Arthur D'Adamo, William B. Hanlon, J. Richard Spears, High Precision Quantitative Angiography IEEE Transactions on Medical Imaging. ,vol. 6, pp. 258- 265 ,(1987) , 10.1109/TMI.1987.4307835
Joachim O. Arndt, J�rgen Klauske, Frank Mersch, The diameter of the intact carotid artery in man and its change with pulse pressure Pflügers Archiv: European Journal of Physiology. ,vol. 301, pp. 230- 240 ,(1968) , 10.1007/BF00363770
Takashi Shimazu, Masatsugu Hori, Masayoshi Mishima, Akira Kitabatake, Kazuhisa Kodama, Shinsuke Nanto, Michitoshi Inoue, Clinical assessment of elastic properties of large coronary arteries: pressure-diameter relationship and dynamic incremental elastic modulus International Journal of Cardiology. ,vol. 13, pp. 27- 45 ,(1986) , 10.1016/0167-5273(86)90077-X
ALLAN DONNER, NICHOLAS BIRKETT, CAROL BUCK, RANDOMIZATION BY CLUSTER SAMPLE SIZE REQUIREMENTS AND ANALYSIS American Journal of Epidemiology. ,vol. 114, pp. 906- 914 ,(1981) , 10.1093/OXFORDJOURNALS.AJE.A113261