Amir H Foruzan, Reza A Zoroofi, Masatoshi Hori, Yoshinobu Sato
A knowledge-based technique for liver segmentation in CT data
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
kawasaki disease kd febrile disease affects children 5 years age leads serious cardiovascular complications coronary artery disease development markers predict early important reduce misdiagnosis kd aim research develop diagnostic predictive model differentiate kawasaki disease kd febrile diseases using eosinophiltolymphocyte ratio elr biomarkers recruited total 190 children kd 1604 children febrile diseases retrospectively collected clinical information children included laboratory data day admission white blood cells wbc hemoglobin hgb calcitoninogen pct hypersensitive creactive protein crp snake prognostic nutritional index pni peripheral blood neutrophillymphocyte ratio nlr plateletlymphocyte ratio plr elr performed analyses using univariate analysis multivariate logistic regression column line plots evaluated diagnostic parameters predictive models elr significantly increased patients kd multivariate logistic regression wbc hgb crp nlr elr pni finally included indicators constructing prediction model roc curve analysis suggested cindex diagnostic prediction model 0921 calibration curve showed good diagnostic performance columnar graph model cutoff value elr alone kd 004 area roc curve 0809 kids kd show highly expressive level elr compared children febrile disease used diagnose kd column line graphs constructed together indicators help pediatricians identify kd effectively febrile children