The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features

Detalhes bibliográficos
Autor(a) principal: Molina,Wilson R.
Data de Publicação: 2014
Outros Autores: Kim,Fernando J., Spendlove,Joshua, Pompeo,Alexandre S., Sillau,Stefan, Sehrt,David E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Braz J Urol (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382014000100023
Resumo: 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
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spelling The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological featuresUreteroscopyUrolithiasisLithotripsy, LaserLogistic ModelsNomograms 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+eSociedade Brasileira de Urologia2014-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382014000100023International braz j urol v.40 n.1 2014reponame:International Braz J Urol (Online)instname:Sociedade Brasileira de Urologia (SBU)instacron:SBU10.1590/S1677-5538.IBJU.2014.01.04info:eu-repo/semantics/openAccessMolina,Wilson R.Kim,Fernando J.Spendlove,JoshuaPompeo,Alexandre S.Sillau,StefanSehrt,David E.eng2014-03-11T00:00:00Zoai:scielo:S1677-55382014000100023Revistahttp://www.brazjurol.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||brazjurol@brazjurol.com.br1677-61191677-5538opendoar:2014-03-11T00:00International Braz J Urol (Online) - Sociedade Brasileira de Urologia (SBU)false
dc.title.none.fl_str_mv The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
title The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
spellingShingle The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
Molina,Wilson R.
Ureteroscopy
Urolithiasis
Lithotripsy, Laser
Logistic Models
Nomograms
title_short The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
title_full The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
title_fullStr The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
title_full_unstemmed The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
title_sort The S.T.O.N.E. Score: A new assessment tool to predict stone free rates in ureteroscopy from pre-operative radiological features
author Molina,Wilson R.
author_facet Molina,Wilson R.
Kim,Fernando J.
Spendlove,Joshua
Pompeo,Alexandre S.
Sillau,Stefan
Sehrt,David E.
author_role author
author2 Kim,Fernando J.
Spendlove,Joshua
Pompeo,Alexandre S.
Sillau,Stefan
Sehrt,David E.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Molina,Wilson R.
Kim,Fernando J.
Spendlove,Joshua
Pompeo,Alexandre S.
Sillau,Stefan
Sehrt,David E.
dc.subject.por.fl_str_mv Ureteroscopy
Urolithiasis
Lithotripsy, Laser
Logistic Models
Nomograms
topic Ureteroscopy
Urolithiasis
Lithotripsy, Laser
Logistic Models
Nomograms
description 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
publishDate 2014
dc.date.none.fl_str_mv 2014-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382014000100023
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382014000100023
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1677-5538.IBJU.2014.01.04
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Urologia
publisher.none.fl_str_mv Sociedade Brasileira de Urologia
dc.source.none.fl_str_mv International braz j urol v.40 n.1 2014
reponame:International Braz J Urol (Online)
instname:Sociedade Brasileira de Urologia (SBU)
instacron:SBU
instname_str Sociedade Brasileira de Urologia (SBU)
instacron_str SBU
institution SBU
reponame_str International Braz J Urol (Online)
collection International Braz J Urol (Online)
repository.name.fl_str_mv International Braz J Urol (Online) - Sociedade Brasileira de Urologia (SBU)
repository.mail.fl_str_mv ||brazjurol@brazjurol.com.br
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