N. Sergeeva, T. Skachkova, N. Marshutina, K. M. Nushko, I. Shevchuk, M. Nazirov, B. Alekseev, S. Pirogov, E. Yurkov, V. Gitis, A. Kaprin
{"title":"The validation of threshold decision ruls and calculator for APhiG algoritm for clarification of prostate cancer staging before treatment","authors":"N. Sergeeva, T. Skachkova, N. Marshutina, K. M. Nushko, I. Shevchuk, M. Nazirov, B. Alekseev, S. Pirogov, E. Yurkov, V. Gitis, A. Kaprin","doi":"10.17650/1726-9776-2020-16-1-43-53","DOIUrl":null,"url":null,"abstract":"<jats:p><jats:bold><jats:italic>Background.</jats:italic></jats:bold><jats:bold><jats:italic> </jats:italic></jats:bold><jats:italic>W</jats:italic><jats:italic>e</jats:italic><jats:italic> </jats:italic><jats:italic>have</jats:italic><jats:italic> </jats:italic><jats:italic>previously</jats:italic><jats:italic> </jats:italic><jats:italic>described</jats:italic><jats:italic> </jats:italic><jats:italic>an</jats:italic><jats:italic> </jats:italic><jats:italic>algorithm</jats:italic><jats:italic> </jats:italic><jats:italic>APhiG</jats:italic><jats:italic> </jats:italic><jats:italic>(Age</jats:italic><jats:italic> </jats:italic><jats:italic>of</jats:italic><jats:italic> </jats:italic><jats:italic>patients,</jats:italic><jats:italic> </jats:italic><jats:italic>Prostate</jats:italic><jats:italic> </jats:italic><jats:italic>health</jats:italic><jats:italic> </jats:italic><jats:italic>index</jats:italic><jats:italic> </jats:italic><jats:italic>and</jats:italic><jats:italic> </jats:italic><jats:italic>Gleason</jats:italic><jats:italic> </jats:italic><jats:italic>score),</jats:italic><jats:italic> </jats:italic><jats:italic>for</jats:italic><jats:italic> </jats:italic><jats:italic>staging</jats:italic><jats:italic> </jats:italic><jats:italic>of</jats:italic><jats:italic> </jats:italic><jats:italic>prostate</jats:italic><jats:italic> </jats:italic><jats:italic>cancer</jats:italic><jats:italic> </jats:italic><jats:italic>before</jats:italic><jats:italic> </jats:italic><jats:italic>treatment.</jats:italic><jats:italic> </jats:italic><jats:italic>The</jats:italic><jats:italic> </jats:italic><jats:italic>algorithm</jats:italic><jats:italic> </jats:italic><jats:italic>was</jats:italic><jats:italic> </jats:italic><jats:italic>developed</jats:italic><jats:italic> </jats:italic><jats:italic>by</jats:italic><jats:italic> </jats:italic><jats:italic>logistic</jats:italic><jats:italic> </jats:italic><jats:italic>regression</jats:italic><jats:italic> </jats:italic><jats:italic>on</jats:italic><jats:italic> </jats:italic><jats:italic>a training dataset and validated on a validation dataset (VD). <jats:bold>Objective. </jats:bold>Validation of threshold decision rules and a program for APhiG calculation on the VD.</jats:italic></jats:p><jats:p><jats:bold><jats:italic>Materials and methods. </jats:italic></jats:bold><jats:italic>R</jats:italic><jats:italic>OC</jats:italic><jats:italic> </jats:italic><jats:italic>curve analysis on VD (83 cases).</jats:italic></jats:p><jats:p><jats:bold><jats:italic>Results</jats:italic></jats:bold><jats:bold><jats:italic> </jats:italic></jats:bold><jats:bold><jats:italic>and</jats:italic></jats:bold><jats:bold><jats:italic> </jats:italic></jats:bold><jats:bold><jats:italic>conclusion.</jats:italic></jats:bold><jats:bold><jats:italic> </jats:italic></jats:bold><jats:italic>It</jats:italic><jats:italic> </jats:italic><jats:italic>was</jats:italic><jats:italic> </jats:italic><jats:italic>shown</jats:italic><jats:italic> </jats:italic><jats:italic>that</jats:italic><jats:italic> </jats:italic><jats:italic>sensitivity</jats:italic><jats:italic>,</jats:italic><jats:italic> </jats:italic><jats:italic>specificity</jats:italic><jats:italic>,</jats:italic><jats:italic> </jats:italic><jats:italic>positive</jats:italic><jats:italic> </jats:italic><jats:italic>and</jats:italic><jats:italic> </jats:italic><jats:italic>negative</jats:italic><jats:italic> </jats:italic><jats:italic>predictive</jats:italic><jats:italic> </jats:italic><jats:italic>value,</jats:italic><jats:italic> </jats:italic><jats:italic>diagnostic</jats:italic><jats:italic> </jats:italic><jats:italic>accuracy</jats:italic><jats:italic> </jats:italic><jats:italic>threshold</jats:italic><jats:italic> </jats:italic><jats:italic>decision</jats:italic><jats:italic> </jats:italic><jats:italic>rules and area under the curve (AUC) for APhiG in the VD (n = 83) not significantly different from those indicators in the training dataset (n = 337), which was the basis for the algorithm APhiG development.</jats:italic></jats:p>","PeriodicalId":42924,"journal":{"name":"Onkourologiya","volume":"16 1","pages":"43-53"},"PeriodicalIF":0.1000,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Onkourologiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17650/1726-9776-2020-16-1-43-53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Background.WehavepreviouslydescribedanalgorithmAPhiG(Ageofpatients,ProstatehealthindexandGleasonscore),forstagingofprostatecancerbeforetreatment.Thealgorithmwasdevelopedbylogisticregressionona training dataset and validated on a validation dataset (VD). Objective. Validation of threshold decision rules and a program for APhiG calculation on the VD.Materials and methods. ROCcurve analysis on VD (83 cases).Resultsandconclusion.Itwasshownthatsensitivity,specificity,positiveandnegativepredictivevalue,diagnosticaccuracythresholddecisionrules and area under the curve (AUC) for APhiG in the VD (n = 83) not significantly different from those indicators in the training dataset (n = 337), which was the basis for the algorithm APhiG development.
期刊介绍:
The main objective of the journal "Cancer urology" is publishing up-to-date information about scientific clinical researches, diagnostics, treatment of oncologic urological diseases. The aim of the edition is to inform the experts on oncologic urology about achievements in this area, to build understanding of the necessary integrated interdisciplinary approach in therapy, alongside with urologists, combining efforts of doctors of various specialties (cardiologists, pediatricians, chemotherapeutists et al.), to contribute to raising the effectiveness of oncologic patients’ treatment.