Devis Collura
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Devis Collura has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
E. Berdondini
5 shared publications- Lorenzo Tosco
Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Department of Urology, University Hospitals Leuven, Leuven, Belgium
5 shared publications M. Kurti
5 shared publications- Alessandro Giacobbe
Ospedale Gradenigo, Dipartimento di Urologia, Torino, Italia
4 shared publications - Federico Germinale
Urology Unit, E.O. Ospedali Galliera, 16128 Genoa, Italy
4 shared publications - Giovanni Muto
Maria Pia Hospital, Dipartimento di Urologia, Torino, Italia
4 shared publications
Latest Publications
- 15 November 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (11) , e3425
Pre-biopsy predictors of prostate cancer in the image-fusion non-targeted systematic areas
- 15 November 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (11) , e3425
Pre-biopsy predictors of prostate cancer in the image-fusion non-targeted systematic areas
- 9 October 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (9) , e3194
Lipofilling: A new surgical techique for treatment of giant female urethral diverticula
- 9 October 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (9) , e3194
Lipofilling: A new surgical techique for treatment of giant female urethral diverticula
- 1 October 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (9) , e3195
Minimal invasive technique for dorsal female urethroplasty by asopa procedure
- 1 October 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (9) , e3195
Minimal invasive technique for dorsal female urethroplasty by asopa procedure
- 1 October 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (9) , e3283-e3284
Urinary undiversions: A possible surgical approach with low complication rates
- 1 October 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (9) , e3283-e3284
Urinary undiversions: A possible surgical approach with low complication rates
- 15 March 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (1) , e1676
The Turin pouch: A continent cutaneous urinary diversion with very low stoma stenosis rate at long term follow up
- 15 March 2019
- Published by Elsevier in European Urology Supplements
- Vol. 18 (1) , e1676
The Turin pouch: A continent cutaneous urinary diversion with very low stoma stenosis rate at long term follow up
- Open Access
- 22 July 2012
- Published by Wiley in International Journal of Urology
- Vol. 19 (12) , 1068-1074
Development and external validation of lymph node density cut‐off points in prospective series of radical cystectomy and pelvic lymph node dissection
Objective: To identify lymph node density thresholds and their prognostic role in patients who underwent radical cystectomy and pelvic lymph node dissection, and to validate findings in an external series.Methods: Between May 2001 and September 2009, data from 750 radical cystectomies carried out at “Regina Elena” National Cancer Institute (Rome, Italy) were collected in a prospectively‐maintained database. Once patients who had undergone neoadjuvant treatments and those who had undergone salvage radical cystectomy were excluded from the 210 pN+ patients, 156 patients with urothelial carcinoma were selected for analysis. Optimal cut‐off points for age, lymph node count and lymph node density were identified by considering these variables as continuous. External validation of findings was carried out by using data of 154 pN+ patients selected from two prospective series.Results: The optimal identified cut‐off points were 11% and 30% for lymph node density, nine and 30 nodes for lymph node count, and 73 years for age. Median cancer‐specific survival of patients were significantly different in patients with lymph node density 30% (71 months, 24 months and 11 months, respectively; P < 0.001). Cancer‐specific survival was independently predicted by lymph node density cut‐off points (12–30% vs 30% vs P < 0.001). In the external series, the prognostic effect of lymph node density according to tertiary distribution of risk based on these lymph node density cut‐off points was confirmed at Cox multivariable analysis (12–30% vs 30% vs P = 0.004).Conclusions: Lymph node density is the strongest predictor of cancer‐specific survival. Identified lymph node density thresholds have shown to be independent predictors of cancer‐specific survival in the external validation series.
- 22 July 2012
- Published by Wiley in International Journal of Urology
- Vol. 19 (12) , 1068-1074
Open AccessDevelopment and external validation of lymph node density cut‐off points in prospective series of radical cystectomy and pelvic lymph node dissection
Objective: To identify lymph node density thresholds and their prognostic role in patients who underwent radical cystectomy and pelvic lymph node dissection, and to validate findings in an external series.Methods: Between May 2001 and September 2009, data from 750 radical cystectomies carried out at “Regina Elena” National Cancer Institute (Rome, Italy) were collected in a prospectively‐maintained database. Once patients who had undergone neoadjuvant treatments and those who had undergone salvage radical cystectomy were excluded from the 210 pN+ patients, 156 patients with urothelial carcinoma were selected for analysis. Optimal cut‐off points for age, lymph node count and lymph node density were identified by considering these variables as continuous. External validation of findings was carried out by using data of 154 pN+ patients selected from two prospective series.Results: The optimal identified cut‐off points were 11% and 30% for lymph node density, nine and 30 nodes for lymph node count, and 73 years for age. Median cancer‐specific survival of patients were significantly different in patients with lymph node density 30% (71 months, 24 months and 11 months, respectively; P < 0.001). Cancer‐specific survival was independently predicted by lymph node density cut‐off points (12–30% vs 30% vs P < 0.001). In the external series, the prognostic effect of lymph node density according to tertiary distribution of risk based on these lymph node density cut‐off points was confirmed at Cox multivariable analysis (12–30% vs 30% vs P = 0.004).Conclusions: Lymph node density is the strongest predictor of cancer‐specific survival. Identified lymph node density thresholds have shown to be independent predictors of cancer‐specific survival in the external validation series.
- 1 April 2012
- Published by Wolters Kluwer Health in Journal of Urology
- Vol. 187 (4S)
1599 PREDICTIVE MODEL OF DISEASE FREE SURVIVAL AFTER RADICAL CYSTECTOMY
- 1 April 2012
- Published by Wolters Kluwer Health in Journal of Urology
- Vol. 187 (4S)
1599 PREDICTIVE MODEL OF DISEASE FREE SURVIVAL AFTER RADICAL CYSTECTOMY