Development of a new nomogram to predict insignificant prostate cancer in patients undergoing radical prostatectomy.
OBJECTIVE
The aim of this study was to develop a nomogram to predict the probability of insignificant prostate cancer.


METHODS
A retrospective analysis was conducted of patients who underwent radical prostatectomy at a Korean hospital between January 2005 and December 2014. Patients with pathologically insignificant prostate cancer were defined as having organ-confined disease with tumor volume less than 0.5 cm³ without Gleason scores of 4 or 5. Multivariable logistic regression analysis with a stepwise selection was used to model the relationship between preoperative characteristics and insignificant prostate cancer, and a nomogram to predict the probability of insignificant prostate cancer was created. Receiver operating characteristics (ROC) analysis was performed to assess the predictive value of the model.


RESULTS
The final study population consisted of 1343 patients. Among these patients, insignificant prostate cancer was confirmed in 188 men (14.0%) at the time of prostatectomy. Six independent predictors of insignificant prostate cancer were identified: number of positive cores (p < 0.001), maximal single core tumor involvement (p < 0.001), biopsy Gleason score (p < 0.001), prostate volume (p = 0.024), patient age (p < 0.001) and prostate-specific antigen density (p < 0.001) in the multivariable model. A nomogram to predict insignificant prostate cancer was developed using these six preoperative characteristics. The area under the ROC curve for nomogram predictions was 0.87.


CONCLUSIONS
The nomogram developed in this paper identifies the probability of insignificant prostate cancer and gives providers more information to guide their clinical decisions.
a Department of Urology , Samsung Changwon Hospital, Sungkyunkwan University School of Medicine , Changwon , Republic of Korea.
Tae Heon
TH
Kim
b Department of Urology , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , Republic of Korea.
Hwang Gyun
HG
Jeon
b Department of Urology , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , Republic of Korea.
Byong Chang
BC
Jeong
b Department of Urology , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , Republic of Korea.
Seong Il
SI
Seo
b Department of Urology , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , Republic of Korea.
Seong Soo
SS
Jeon
b Department of Urology , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , Republic of Korea.
Han Yong
HY
Choi
b Department of Urology , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , Republic of Korea.
Hyun Moo
HM
Lee
D000368:Aged; D062005:Biopsy, Large-Core Needle; D006801:Humans; D007610:Kallikreins / Q000097:blood; D016015:Logistic Models; D008279:Magnetic Resonance Imaging; D008297:Male; D000072662:Margins of Excision; D008875:Middle Aged; D015999:Multivariate Analysis; D060787:Neoplasm Grading; D009367:Neoplasm Staging; D049451:Nomograms; D009929:Organ Size; D011379:Prognosis; D011467:Prostate / Q000473:pathology; D017430:Prostate-Specific Antigen / Q000097:blood; D011468:Prostatectomy; D011471:Prostatic Neoplasms / Q000097:blood / Q000000981:diagnostic imaging / Q000473:pathology / Q000601:surgery*; D012372:ROC Curve; D012189:Retrospective Studies; D047368:Tumor Burden
C549870:KLK3 protein, human; D007610:Kallikreins; D017430:Prostate-Specific Antigen
Insignificant; nomogram; prostatectomy; prostatic neoplasm