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Korean J Urol Oncol > Volume 11(3); 2013 > Article
The Korean Journal of Urological Oncology 2013;11(3): 133-140.
서울대학교 전립선암 병기 계산기: 다기관 코흐트를 통한 일반화 검증 및 2013년 Partin 테이블과의 비교
정창욱1, 변석수1, 이은식1, 이상은1, 정병하2, 최영득1, 최한용3, 이현무3, 안한종4, 황태곤5, 이강현6, 김원재7, 정문기8, 천준9, 김형진10, 정태영11, 권태균12, 조진선13
1서울대학교 의과대학 비뇨기과학교실, 2연세대학교 의과대학 비뇨기과학교실, 3성균관대학교 의과대학 비뇨기과학교실, 4울산대학교 의과대학 비뇨기과학교실, 5가톨릭대학교 의과대학 비뇨기과학교실, 6국립암센터 비뇨기과, 7충북대학교 의과대학 비뇨기과학교실, 8부산대학교 의과대학 비뇨기과학교실, 9고려대학교 의과대학 비뇨기과학교실, 10전북대학교 의과대학 비뇨기과학교실, 11중앙보훈병원 비뇨기과, 12경북대학교 의과대학 비뇨기과학교실, 13한림대학교 의과대학 비뇨기과학교실
Seoul National University Prostate Cancer Stage Calculator: Generalization and Head-to-Head Comparison with 2013 Partin Table by Multicenter Cohort
Chang Wook Jeong 1, Seok-Soo Byun 1, Eunsik Lee 1, Sang Eun Lee 1, Byung Ha Chung 2, Young Deuk Choi 1, Han Yong Choi 3, Hyun Moo Lee 3, Hanjong Ahn 4, Tae-Kon Hwang 5, Kang Hyun Lee 6, Wun-Jae Kim 7, Moon Kee Chung 8, Jun Cheon 9, Hyung Jin Kim 10, Tae Young Jung 11, Tae Gyun Kwon 12, Jin Seon Cho 13
Department of Urology, College of Medicine, 1Seoul National University, 2Yonsei University, 3Sungkyunkwan University, Seoul, 4Ulsan University, Ulsan, 5Catholic University, Seoul, 6National Cancer Center, Goyang, 7Chungbuk National University, Cheongju, 8Pusan National University, Pusan, 9Korea University, Seoul, 10Chonbuk National University, Jeonju, 11Veterans Health Service Medical Center, Seoul, 12Kyungpook National University, Daegu, 13Hallym University, Chuncheon, Korea
Published online: December 30, 2013.
ABSTRACT
Purpose:
Previously, Seoul National University (SNU) prostate cancer (PC) stage calculator was developed to predict the pathological stage of clinically localized PC after radical prostatectomy (RP) in Korean men. We evaluated its generalizability and compared their clinical values with 2013 Partin tables by Korean multicenter cohort.
Materials and Methods:
Evaluated cohort consisted of 2,607 patients who had clinical stages T1c-T3a PC and were treated with RP at 14 institutions in Korea. After excluding 262 cases with prior hormone or radiation therapy and 604 cases with missing data, 1,741 cases were analyzed. Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC). The agreement between the predicted values with observed outcome was assessed with calibration plot. SNU PC stage calculator was compared with 2013 Partin tables applying to this cohort using DeLong method and decision curve analysis.
Results:
The accuracies of SNU PC stage calculator was all higher than those of 2013 Partin tables to predict organ-confined disease (0.755 vs. 0.711, p<0.001), extraprostatic extension (0.743 vs. 0.665, p<0.001), seminal vesicle invasion (0.833 vs. 0.764, p<0.001), and lymph node metastasis (0.842 vs 0.760, p=0.019). The observed outcomes were well calibrated with their predicted values by the calculator. Decision curve analyses demonstrated higher net benefits of SNU PC stage calculator compared with 2013 Partin tables.
Conclusions:
SNU PC stage calculator has been proved their generalizability among Korean population. Its clinical usefulness for Korean men was higher than 2013 Partin tables developed using Western cohort. (Korean J Urol Oncol 2013;11:133-140)
Key Words: Prostatic neoplasms; Prostatectomy; Pathology; Statistics; Nomograms
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