A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy

Vipul R. Patel, Marco Sandri, Angelica A.C. Grasso, Elisa De Lorenzis, Franco Palmisano, Giancarlo Albo, Rafael F. Coelho, Alexander Mottrie, Tadzia Harvey, Darian Kameh, Hariharan Palayapalayam, Peter Wiklund, Silvano Bosari, Stefano Puliatti, Paola Zuccolotto, Giampaolo Bianchi, Bernardo Rocco

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Objectives: To create a statistical tool for the estimation of extracapsular extension (ECE) level of prostate cancer and determine the nerve-sparing (NS) approach that can be safely performed during radical prostatectomy (RP). Patients and Methods: A total of 11 794 lobes, from 6 360 patients who underwent robot-assisted RP between 2008 and 2016 were evaluated. Clinicopathological features were included in a statistical algorithm for the prediction of the maximum ECE width. Five multivariable logistic models were estimated for: presence of ECE and ECE width of >1, >2, >3, and >4 mm. A five-zone decision rule based on a lower and upper threshold is proposed. Using a graphical interface, surgeons can view patient's pre-treatment characteristics and a curve showing the estimated probabilities for ECE amount together with the areas identified by the decision rule. Results: Of the 6 360 patients, 1 803 (28.4%) were affected by non-organ-confined disease. ECE was present in 1 351 lobes (11.4%) and extended beyond the capsule for >1, >2, >3, and >4 mm in 498 (4.2%), 261 (2.2%), 148 (1.3%), 99 (0.8%) cases, respectively. ECE width was up to 15 mm (interquartile range 1.00–2.00). The five logistic models showed good predictive performance, the area under the receiver operating characteristic curve was: 0.81 for ECE, and 0.84, 0.85, 0.88, and 0.90 for ECE width of >1, >2, >3, and >4 mm, respectively. Conclusion: This novel tool predicts with good accuracy the presence and amount of ECE. Furthermore, the graphical interface available at www.prece.it can support surgeons in patient counselling and preoperative planning.

Original languageEnglish
Pages (from-to)373-382
Number of pages10
JournalBJU International
Volume121
Issue number3
DOIs
Publication statusPublished - Mar 1 2018

Fingerprint

Prostatectomy
Logistic Models
ROC Curve
Capsules
Counseling
Prostatic Neoplasms
Surgeons
Therapeutics

Keywords

  • extracapsular extension
  • nomogram
  • prostate
  • prostate cancer
  • robotic prostatectomy
  • staging

ASJC Scopus subject areas

  • Urology

Cite this

A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy. / Patel, Vipul R.; Sandri, Marco; Grasso, Angelica A.C.; De Lorenzis, Elisa; Palmisano, Franco; Albo, Giancarlo; Coelho, Rafael F.; Mottrie, Alexander; Harvey, Tadzia; Kameh, Darian; Palayapalayam, Hariharan; Wiklund, Peter; Bosari, Silvano; Puliatti, Stefano; Zuccolotto, Paola; Bianchi, Giampaolo; Rocco, Bernardo.

In: BJU International, Vol. 121, No. 3, 01.03.2018, p. 373-382.

Research output: Contribution to journalArticle

Patel, VR, Sandri, M, Grasso, AAC, De Lorenzis, E, Palmisano, F, Albo, G, Coelho, RF, Mottrie, A, Harvey, T, Kameh, D, Palayapalayam, H, Wiklund, P, Bosari, S, Puliatti, S, Zuccolotto, P, Bianchi, G & Rocco, B 2018, 'A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy', BJU International, vol. 121, no. 3, pp. 373-382. https://doi.org/10.1111/bju.14026
Patel, Vipul R. ; Sandri, Marco ; Grasso, Angelica A.C. ; De Lorenzis, Elisa ; Palmisano, Franco ; Albo, Giancarlo ; Coelho, Rafael F. ; Mottrie, Alexander ; Harvey, Tadzia ; Kameh, Darian ; Palayapalayam, Hariharan ; Wiklund, Peter ; Bosari, Silvano ; Puliatti, Stefano ; Zuccolotto, Paola ; Bianchi, Giampaolo ; Rocco, Bernardo. / A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy. In: BJU International. 2018 ; Vol. 121, No. 3. pp. 373-382.
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abstract = "Objectives: To create a statistical tool for the estimation of extracapsular extension (ECE) level of prostate cancer and determine the nerve-sparing (NS) approach that can be safely performed during radical prostatectomy (RP). Patients and Methods: A total of 11 794 lobes, from 6 360 patients who underwent robot-assisted RP between 2008 and 2016 were evaluated. Clinicopathological features were included in a statistical algorithm for the prediction of the maximum ECE width. Five multivariable logistic models were estimated for: presence of ECE and ECE width of >1, >2, >3, and >4 mm. A five-zone decision rule based on a lower and upper threshold is proposed. Using a graphical interface, surgeons can view patient's pre-treatment characteristics and a curve showing the estimated probabilities for ECE amount together with the areas identified by the decision rule. Results: Of the 6 360 patients, 1 803 (28.4{\%}) were affected by non-organ-confined disease. ECE was present in 1 351 lobes (11.4{\%}) and extended beyond the capsule for >1, >2, >3, and >4 mm in 498 (4.2{\%}), 261 (2.2{\%}), 148 (1.3{\%}), 99 (0.8{\%}) cases, respectively. ECE width was up to 15 mm (interquartile range 1.00–2.00). The five logistic models showed good predictive performance, the area under the receiver operating characteristic curve was: 0.81 for ECE, and 0.84, 0.85, 0.88, and 0.90 for ECE width of >1, >2, >3, and >4 mm, respectively. Conclusion: This novel tool predicts with good accuracy the presence and amount of ECE. Furthermore, the graphical interface available at www.prece.it can support surgeons in patient counselling and preoperative planning.",
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AU - Sandri, Marco

AU - Grasso, Angelica A.C.

AU - De Lorenzis, Elisa

AU - Palmisano, Franco

AU - Albo, Giancarlo

AU - Coelho, Rafael F.

AU - Mottrie, Alexander

AU - Harvey, Tadzia

AU - Kameh, Darian

AU - Palayapalayam, Hariharan

AU - Wiklund, Peter

AU - Bosari, Silvano

AU - Puliatti, Stefano

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AU - Bianchi, Giampaolo

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N2 - Objectives: To create a statistical tool for the estimation of extracapsular extension (ECE) level of prostate cancer and determine the nerve-sparing (NS) approach that can be safely performed during radical prostatectomy (RP). Patients and Methods: A total of 11 794 lobes, from 6 360 patients who underwent robot-assisted RP between 2008 and 2016 were evaluated. Clinicopathological features were included in a statistical algorithm for the prediction of the maximum ECE width. Five multivariable logistic models were estimated for: presence of ECE and ECE width of >1, >2, >3, and >4 mm. A five-zone decision rule based on a lower and upper threshold is proposed. Using a graphical interface, surgeons can view patient's pre-treatment characteristics and a curve showing the estimated probabilities for ECE amount together with the areas identified by the decision rule. Results: Of the 6 360 patients, 1 803 (28.4%) were affected by non-organ-confined disease. ECE was present in 1 351 lobes (11.4%) and extended beyond the capsule for >1, >2, >3, and >4 mm in 498 (4.2%), 261 (2.2%), 148 (1.3%), 99 (0.8%) cases, respectively. ECE width was up to 15 mm (interquartile range 1.00–2.00). The five logistic models showed good predictive performance, the area under the receiver operating characteristic curve was: 0.81 for ECE, and 0.84, 0.85, 0.88, and 0.90 for ECE width of >1, >2, >3, and >4 mm, respectively. Conclusion: This novel tool predicts with good accuracy the presence and amount of ECE. Furthermore, the graphical interface available at www.prece.it can support surgeons in patient counselling and preoperative planning.

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