임상적 국한암에서 전립선특이항원, Gleason 점수, 양성코어 비율을 이용한 병리학적 결과 예측 노모그램 개발과 기존 인자를 이용한 노모그램과의 비교
Development of Nomogram for Predicting Pathologic Outcome using Prostate-specific Antigen, Gleason Score, and the Percentage of Positive Core in the Clinically Confined Prostate Cancers, and Comparison with Nomogram using Existing Factors
정성진, 홍성규, 변석수, 이상은, 한병규, 유지형, 한준현, 장인호,
소속 상세정보
정성진 ( Jeong Seong-Jin )
분당서울대학교병원 비뇨기과
홍성규 ( Hong Sung-Kyu )
분당서울대학교병원 비뇨기과
변석수 ( Byun Seok-Soo )
분당서울대학교병원 비뇨기과
이상은 ( Lee Sang-Eun )
분당서울대학교병원 비뇨기과
한병규 ( Han Byoung-Kyu )
분당서울대학교병원 비뇨기과
유지형 ( Yu Ji-Hyeong )
분당서울대학교병원 비뇨기과
한준현 ( Han Jun-Hyun )
분당서울대학교병원 비뇨기과
장인호 ( Chang In-Ho )
분당서울대학교병원 비뇨기과
KMID : 0358320070480080789
Abstract
Purpose: There have been reports that clinical stages do not reflect patients’ postoperative prognosis well. On the contrary, the clinical application of the percentage of positive core(%(+) core), which predicts tumor volume has been increasing. We developed nomogram for predicting pathologic outcome using prostate-specific antigen(PSA), Gleason score and %(+) core based on data of radical prostatectomy and compared it with nomogram using clinical stage instead of %(+) core.
Materials and Methods: Two hundred and fifty nine patients with clinically confined prostate cancers were included in the study. Nomogram for predicting pathologic outcome was developed through multinominal logistic regression analysis, and pathologic outcomes were extracapsular invasion(ECE), seminal vesicle invasion(SVI) and bladder neck invasion(BNI). The accuracy of each nomogram for predicting each pathologic outcome was compared on the basis of receiver operating characteristic(ROC) curve analysis.
Results: The mean %(+) core was 24.6% and clinical stages T1c, T2a,b and T2c were 58.7%, 32.0% and 9.3%, respectively. ECE was observed in 45(17.4%), SVI in 9(3.5%), and BNI in 12(4.6%). With an increase in PSA, Gleason score, clinical stage, or %(+) core, the incidence of extraprostatic involvement increased gradually. Two nomograms for predicting pathologic outcome were developed. In quantifying expected predictive improvement, area under ROC curve for predicting ECE was greater in the nomogram using %(+) core than clinical stage(0.815 vs. 0.778). These values for predicting SVI were 0.886 and 0.760, respectively, and for predicting BNI, 0.743 and 0.764, respectively.
Conclusions: We developed nomogram for predicting pathologic outcomes using %(+) core instead of clinical stage. Nomogram using %(+) core predicted ECE and SVI with greater accuracy than nomogram using clinical stage.
키워드
Prostate cancer; Surgical pathology; Nomograms
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