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Scandinavian Journal of Urology Volume 51, 2017 - Issue 1
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Original Article

Development of a new nomogram to predict insignificant prostate cancer in patients undergoing radical prostatectomy

Tae Heon KimDepartment of Urology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea;
,
Hwang Gyun JeonDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
,
Byong Chang JeongDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
,
Seong Il SeoDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
,
Seong Soo JeonDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
,
Han Yong ChoiDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
&
Hyun Moo LeeDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of KoreaCorrespondence[email protected]
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Pages 27-32 | Received 18 Jul 2016, Accepted 21 Nov 2016, Published online: 07 Feb 2017

Citations (11)

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Feng Qi, Kai Zhu, Yifei Cheng, Lixin Hua & Gong Cheng. (2021) How to Pick Out the “Unreal” Gleason 3 + 3 Patients: A Nomogram for More Precise Active Surveillance Protocol in Low-Risk Prostate Cancer in a Chinese Population. Journal of Investigative Surgery 34:6, pages 583-589.
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Articles from other publishers (10)

Futoshi Morokuma, Eiji Sadashima, Soutaro Chikamatsu, Tomoya Nakamura, Yusuke Hayakawa & Noriaki Tokuda. (2020) Use of increasing the number of biopsy cores in proportion to prostate size on prostate cancer diagnosis. Journal of Clinical Urology 14:5, pages 361-368.
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Zhen Chen, Zelan Xiao, Siheng Zeng & Zhiqiang Yan. (2021) The potential value of microRNA-145 for predicting prognosis in patients with ovarian cancer. Medicine 100:32, pages e26922.
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Xianghong Zhou, Qingyang Ning, Kun Jin, Tao Zhang & Xuelei Ma. (2020) Development and validation of a preoperative nomogram for predicting survival of patients with locally advanced prostate cancer after radical prostatectomy. BMC Cancer 20:1.
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Hailang Liu, Kun Tang, Ding Xia, Ejun Peng, Liang Wang & Zhiqiang Chen. (2020) Combined multiple clinical characteristics for prediction of discordance in grade and stage in prostate cancer patients undergoing systematic biopsy and radical prostatectomy. Pathology - Research and Practice 216:11, pages 153235.
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Arthur J. Swersey, John Colberg, Ronald Evans, Michael W. Kattan, Johannes Ledolter & Rodney Parker. (2019) Decision models for distinguishing between clinically insignificant and significant tumors in prostate cancer biopsies: an application of Bayes’ Theorem to reduce costs and improve outcomes. Health Care Management Science 23:1, pages 102-116.
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Wei-dong Jiang & Ping-cheng Yuan. (2019) Development and validation of prognostic nomograms for patients with metastatic prostate cancer. International Urology and Nephrology 51:10, pages 1743-1753.
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Jeong Woo Lee, Jae Young Jeong, In-Chang Cho, Sung Han Kim, Whi-An Kwon, Miyoung Choi & Jeong Kyun Yeo. (2019) The Treatments for Low-Risk Prostate Cancer. The Korean Journal of Urological Oncology 17:1, pages 7-21.
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Annika Herlemann, Samuel L. WashingtonIIIIII, Renu S. Eapen & Matthew R. Cooperberg. (2017) Whom to Treat. Urologic Clinics of North America 44:4, pages 547-555.
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Xianna Li, Aihua Zhang, Hui Sun, Zhidong Liu, Tianlei Zhang, Shi Qiu, Liang Liu & Xijun Wang. (2017) Metabolic characterization and pathway analysis of berberine protects against prostate cancer. Oncotarget 8:39, pages 65022-65041.
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James T. Kearns & Daniel W. Lin. (2017) Prediction models for prostate cancer outcomes. Current Opinion in Urology 27:5, pages 469-474.
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