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Yamada Y, Fujii Y, Kakutani S, Kimura N, Sugimoto K, Hakozaki Y, Sugihara T, Takeshima Y, Kawai T, Nakamura M, Kamei J, Taguchi S, Akiyama Y, Sato Y, Yamada D, Urabe F, Miyazaki H, Enomoto Y, Fukuhara H, Nakagawa T, Fujimura T, Kume H. Development of risk-score model in patients with negative surgical margin after robot-assisted radical prostatectomy. Sci Rep 2024; 14:7607. [PMID: 38556562 PMCID: PMC10982299 DOI: 10.1038/s41598-024-58279-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 03/27/2024] [Indexed: 04/02/2024] Open
Abstract
A total of 739 patients underwent RARP as initial treatment for PCa from November 2011 to October 2018. Data on BCR status, clinical and pathological parameters were collected from the clinical records. After excluding cases with neoadjuvant and/or adjuvant therapies, presence of lymph node or distant metastasis, and positive SM, a total of 537 cases were eligible for the final analysis. The median follow-up of experimental cohort was 28.0 (interquartile: 18.0-43.0) months. We identified the presence of International Society of Urological Pathology grade group (ISUP-GG) ≥ 4 (Hazard ratio (HR) 3.20, 95% Confidence Interval (95% CI) 1.70-6.03, P < 0.001), lymphovascular invasion (HR 2.03, 95% CI 1.00-4.12, P = 0.049), perineural invasion (HR 10.7, 95% CI 1.45-79.9, P = 0.020), and maximum tumor diameter (MTD) > 20 mm (HR 1.9, 95% CI 1.01-3.70, P = 0.047) as significant factors of BCR in the multivariate analysis. We further developed a risk model according to these factors. Based on this model, 1-year, 3-year, and 5-year BCR-free survival were 100%, 98.9%, 98.9% in the low-risk group; 99.1%, 94.1%, 86.5% in the intermediate-risk group; 93.9%, 84.6%, 58.1% in the high-risk group. Internal validation using the bootstrap method showed a c-index of 0.742 and an optimism-corrected c-index level of 0.731. External validation was also carried out using an integrated database derived from 3 other independent institutions including a total of 387 patients for the final analysis. External validation showed a c-index of 0.655. In conclusion, we identified risk factors of biochemical failure in patients showing negative surgical margin after RARP and further developed a risk model using these risk factors.
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Affiliation(s)
- Yuta Yamada
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
| | - Yoichi Fujii
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Shigenori Kakutani
- Department of Urology, Chiba Tokushukai Hospital, Funabashi-Shi, Chiba, Japan
| | - Naoki Kimura
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
- Department of Urology, National Center for Global Health and Medicine, Shinjuku-Ku, Tokyo, Japan
| | - Kazuma Sugimoto
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
- Department of Urology, National Center for Global Health and Medicine, Shinjuku-Ku, Tokyo, Japan
| | - Yuji Hakozaki
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Toru Sugihara
- Department of Urology, Jichi Medical University, Shimotsuke-Shi, Tochigi-Ken, Japan
| | - Yuta Takeshima
- Division of Innovative Cancer Therapy, Advanced Research Center, The Institute of Medical Science, The University of Tokyo, Minato-Ku, Tokyo, Japan
| | - Taketo Kawai
- Department of Urology, Teikyo University School of Medicine, Itabashi-Ku, Tokyo, Japan
| | - Masaki Nakamura
- Department of Urology, NTT Medical Center Tokyo, Shinagawa-Ku, Tokyo, Japan
| | - Jun Kamei
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Satoru Taguchi
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Yoshiyuki Akiyama
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Yusuke Sato
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Daisuke Yamada
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Fumihiko Urabe
- Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hideyo Miyazaki
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
- Department of Urology, National Center for Global Health and Medicine, Shinjuku-Ku, Tokyo, Japan
| | - Yutaka Enomoto
- Department of Urology, Mitsui Memorial Hospital, Chiyoda-Ku, Tokyo, Japan
| | - Hiroshi Fukuhara
- Department of Urology, Kyorin University School of Medicine, Mitaka, Tokyo, Japan
| | - Tohru Nakagawa
- Department of Urology, Teikyo University School of Medicine, Itabashi-Ku, Tokyo, Japan
| | - Tetsuya Fujimura
- Department of Urology, Jichi Medical University, Shimotsuke-Shi, Tochigi-Ken, Japan
| | - Haruki Kume
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
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Zapała P, Dybowski B, Bres-Niewada E, Lorenc T, Powała A, Lewandowski Z, Gołębiowski M, Radziszewski P. Predicting side-specific prostate cancer extracapsular extension: a simple decision rule of PSA, biopsy, and MRI parameters. Int Urol Nephrol 2019; 51:1545-1552. [PMID: 31190297 PMCID: PMC6713688 DOI: 10.1007/s11255-019-02195-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 06/04/2019] [Indexed: 01/14/2023]
Abstract
Objective To develop an easy-to-use side-specific tool for the prediction of prostate cancer extracapsular extension (ECE) using clinical, biopsy, and MRI parameters. Materials and methods Retrospective analysis of patients who underwent radical prostatectomy preceded by staging multiparametric MRI of the prostate was performed. Multivariate logistic regression analysis was used to choose independent predictors of ECE. Continuous variables were transformed to categorical ones by choosing threshold values using spline knots or testing thresholds used in previously described models. Internal validation of the rule was carried out as well as validation of other algorithms on our group was performed. Results In the analyzed period of time, 88 out of 164 patients who underwent radical prostatectomy met inclusion criteria. ECE was evidenced at radical prostatectomy in 41 patients (46.6%) and in 53 lobes (30.1%). In the multivariate analysis PSA, total percentage of cancerous tissue in cores (%PCa) and maximum tumour diameter (MTD) of Likert 3–5 lesions on MRI were independent predictors of ECE. The following rule for predicting side-specific ECE was proposed: %PCa ≥ 15% OR MTD ≥ 15 mm OR PSA ≥ 20 ng/mL. Internal validation of the algorithm revealed safe lower confidence limits for sensitivity and NPV, proving that model offers accurate risk grouping that can be safely used in decision-making. Conclusion The rule developed in this study makes ECE prediction fast, intuitive, and side-specific. However, until validated externally it should be used with caution.
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Affiliation(s)
- Piotr Zapała
- Department of Urology, Medical University of Warsaw, Lindleya 4, 02-005, Warsaw, Poland
| | - Bartosz Dybowski
- Department of Urology, Medical University of Warsaw, Lindleya 4, 02-005, Warsaw, Poland. .,Department of Urology, Roefler Memorial Hospital, Pruszków, Poland.
| | - Ewa Bres-Niewada
- Department of Urology, Medical University of Warsaw, Lindleya 4, 02-005, Warsaw, Poland.,Department of Urology, Roefler Memorial Hospital, Pruszków, Poland
| | - Tomasz Lorenc
- 1st Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Agnieszka Powała
- Department of Pathology, Medical University of Warsaw, Warsaw, Poland
| | - Zbigniew Lewandowski
- Department of Epidemiology and Biostatistics, Medical University of Warsaw, Warsaw, Poland
| | - Marek Gołębiowski
- 1st Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Piotr Radziszewski
- Department of Urology, Medical University of Warsaw, Lindleya 4, 02-005, Warsaw, Poland
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