Classification and regression tree analysis for the prediction of aggressive prostate cancer on biopsy

Stephen Spurgeon, Yi Ching Hsieh, Adrianna Rivadinera, Tomasz (Tom) Beer, Motomi (Tomi) Mori, Mark Garzotto

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Purpose: Prostate cancer screening allows early cancer detection but not all patients benefit from subsequent therapy. Thus, identifying patients who are likely to harbor aggressive cancer could significantly decrease the number of prostate biopsies performed. Materials and Methods: Data were collected on 1,563 consecutive referred men with serum PSA 10 ng/ml or less who underwent an initial prostate biopsy. Predictors of aggressive cancer (Gleason sum 7 or greater) were identified using CART analysis. Model building was done in a randomly selected training set (70% of the data) and validation was completed using the remaining data. Results: Cancer was detected in 406 men (26.1%). Gleason 7 or greater cancer was found in 130 men (8.3%). CART created a decision tree that identified certain groups at risk for aggressive cancer, namely 1) PSAD greater than 0.165 ng/ml/cc, and 2) PSAD greater than 0.058 to 0.165 ng/ml/cc or less, age greater than 57.5 years and prostate volume greater than 22.7 cc. The incidence of aggressive prostate cancer was 1.1% when PSAD was 0.058 ng/ml/cc or less in the validation set. The sensitivity and specificity of CART for identifying men with aggressive cancer were 100% and 31.8% for model building data, and 91.5% and 33.5% for the validation data set, respectively. Conclusions: CART identified groups at risk for aggressive prostate cancer. Application of this CART could decrease unnecessary biopsies by 33.5% when only a diagnosis of high grade prostate cancer would lead to subsequent therapy.

Original languageEnglish (US)
Pages (from-to)918-922
Number of pages5
JournalJournal of Urology
Volume175
Issue number3
DOIs
StatePublished - Mar 2006

Fingerprint

Prostatic Neoplasms
Regression Analysis
Biopsy
Prostate
Neoplasms
Early Detection of Cancer
Decision Trees
Sensitivity and Specificity
Incidence
Therapeutics
Serum
Datasets

Keywords

  • Biopsy
  • Prostate
  • Prostate-specific antigen
  • Prostatic neoplasms
  • Risk

ASJC Scopus subject areas

  • Urology

Cite this

Classification and regression tree analysis for the prediction of aggressive prostate cancer on biopsy. / Spurgeon, Stephen; Hsieh, Yi Ching; Rivadinera, Adrianna; Beer, Tomasz (Tom); Mori, Motomi (Tomi); Garzotto, Mark.

In: Journal of Urology, Vol. 175, No. 3, 03.2006, p. 918-922.

Research output: Contribution to journalArticle

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