The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
Int. braz. j. urol
;
40(1): 23-29, Jan-Feb/2014. tab, graf
Artigo
em Inglês
| LILACS
| ID: lil-704173
ABSTRACT
Objective: To develop a user friendly system (S.T.O.N.E. Score) to quantify and describe stone characteristics provided by computed axial tomography scan to predict ureteroscopy outcomes and to evaluate the characteristics that are thought to affect stone free rates. Materials and Methods: The S.T.O.N.E. score consists of 5 stone characteristics: (S)ize, (T)opography (location of stone), (O)bstruction, (N)umber of stones present, and (E)valuation of Hounsfield Units. Each component is scored on a 1-3 point scale. The S.T.O.N.E. Score was applied to 200 rigid and flexible ureteroscopies performed at our institution. A logistic model was applied to evaluate our data for stone free rates (SFR). Results: SFR were found to be correlated to S.T.O.N.E. Score. As S.T.O.N.E. Score increased, the SFR decreased with a logical regression trend (p < 0.001). The logistic model found was SFR=1/(1+e.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Tomografia Computadorizada por Raios X
/
Ureteroscopia
/
Urolitíase
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
/
Fatores de risco
Limite:
Adulto
/
Feminino
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Int. braz. j. urol
Assunto da revista:
Urologia
Ano de publicação:
2014
Tipo de documento:
Artigo
País de afiliação:
Estados Unidos
Instituição/País de afiliação:
Denver Health Medical Center/US
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