3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes
Objectiveto evaluate the impact of 3D model for a comprehensive assessment of surgical planning and quality of partial nephrectomy (PN).Materials and methods195 patients with cT1-T2 renal mass scheduled for PN were enrolled in two groups: Study Group (n= 100), including patients referred to PN with...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1046505/full |
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| author | Lorenzo Bianchi Lorenzo Bianchi Laura Cercenelli Barbara Bortolani Pietro Piazza Matteo Droghetti Sara Boschi Caterina Gaudiano Giulia Carpani Francesco Chessa Francesco Chessa Simone Lodi Lorenzo Tartarini Alessandro Bertaccini Alessandro Bertaccini Rita Golfieri Emanuela Marcelli Riccardo Schiavina Riccardo Schiavina Eugenio Brunocilla Eugenio Brunocilla |
| author_facet | Lorenzo Bianchi Lorenzo Bianchi Laura Cercenelli Barbara Bortolani Pietro Piazza Matteo Droghetti Sara Boschi Caterina Gaudiano Giulia Carpani Francesco Chessa Francesco Chessa Simone Lodi Lorenzo Tartarini Alessandro Bertaccini Alessandro Bertaccini Rita Golfieri Emanuela Marcelli Riccardo Schiavina Riccardo Schiavina Eugenio Brunocilla Eugenio Brunocilla |
| author_sort | Lorenzo Bianchi |
| collection | DOAJ |
| description | Objectiveto evaluate the impact of 3D model for a comprehensive assessment of surgical planning and quality of partial nephrectomy (PN).Materials and methods195 patients with cT1-T2 renal mass scheduled for PN were enrolled in two groups: Study Group (n= 100), including patients referred to PN with revision of both 2D computed tomography (CT) imaging and 3D model; Control group (n= 95), including patients referred to PN with revision of 2D CT imaging. Overall, 20 individuals were switched to radical nephrectomy (RN). The primary outcome was the impact of 3D models-based surgical planning on Trifecta achievement (defined as the contemporary absence of positive surgical margin, major complications and ≤30% postoperative eGFR reduction). The secondary outcome was the impact of 3D models on surgical planning of PN. Multivariate logistic regressions were used to identify predictors of selective clamping and Trifecta’s achievement in patients treated with PN (n=175).ResultsOverall, 73 (80.2%) patients in Study group and 53 (63.1%) patients in Control group achieved the Trifecta (p=0.01). The preoperative plan of arterial clamping was recorded as clampless, main artery and selective in 22 (24.2%), 22 (24.2%) and 47 (51.6%) cases in Study group vs. 31 (36.9%), 46 (54.8%) and 7 (8.3%) cases in Control group, respectively (p<0.001). At multivariate logistic regressions, the use of 3D model was found to be independent predictor of both selective or super-selective clamping and Trifecta’s achievement.Conclusion3D-guided approach to PN increase the adoption of selective clamping and better predict the achievement of Trifecta. |
| first_indexed | 2024-04-13T17:52:56Z |
| format | Article |
| id | doaj.art-fb02904882a8444596e57c8e1568ce34 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-13T17:52:56Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-fb02904882a8444596e57c8e1568ce342022-12-22T02:36:37ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-10-011210.3389/fonc.2022.104650510465053D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomesLorenzo Bianchi0Lorenzo Bianchi1Laura Cercenelli2Barbara Bortolani3Pietro Piazza4Matteo Droghetti5Sara Boschi6Caterina Gaudiano7Giulia Carpani8Francesco Chessa9Francesco Chessa10Simone Lodi11Lorenzo Tartarini12Alessandro Bertaccini13Alessandro Bertaccini14Rita Golfieri15Emanuela Marcelli16Riccardo Schiavina17Riccardo Schiavina18Eugenio Brunocilla19Eugenio Brunocilla20Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyUniversità degli studi di Bologna, Bologna, ItalyeDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, ItalyeDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyUniversità degli studi di Bologna, Bologna, ItalyeDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, ItalyeDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyUniversità degli studi di Bologna, Bologna, ItalyDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyeDIMES Lab - Laboratory of Bioengineering, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyUniversità degli studi di Bologna, Bologna, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyUniversità degli studi di Bologna, Bologna, ItalyObjectiveto evaluate the impact of 3D model for a comprehensive assessment of surgical planning and quality of partial nephrectomy (PN).Materials and methods195 patients with cT1-T2 renal mass scheduled for PN were enrolled in two groups: Study Group (n= 100), including patients referred to PN with revision of both 2D computed tomography (CT) imaging and 3D model; Control group (n= 95), including patients referred to PN with revision of 2D CT imaging. Overall, 20 individuals were switched to radical nephrectomy (RN). The primary outcome was the impact of 3D models-based surgical planning on Trifecta achievement (defined as the contemporary absence of positive surgical margin, major complications and ≤30% postoperative eGFR reduction). The secondary outcome was the impact of 3D models on surgical planning of PN. Multivariate logistic regressions were used to identify predictors of selective clamping and Trifecta’s achievement in patients treated with PN (n=175).ResultsOverall, 73 (80.2%) patients in Study group and 53 (63.1%) patients in Control group achieved the Trifecta (p=0.01). The preoperative plan of arterial clamping was recorded as clampless, main artery and selective in 22 (24.2%), 22 (24.2%) and 47 (51.6%) cases in Study group vs. 31 (36.9%), 46 (54.8%) and 7 (8.3%) cases in Control group, respectively (p<0.001). At multivariate logistic regressions, the use of 3D model was found to be independent predictor of both selective or super-selective clamping and Trifecta’s achievement.Conclusion3D-guided approach to PN increase the adoption of selective clamping and better predict the achievement of Trifecta.https://www.frontiersin.org/articles/10.3389/fonc.2022.1046505/full3D modelsurgical planningsurgical outcomesrenal cancerpartial nephrectomy |
| spellingShingle | Lorenzo Bianchi Lorenzo Bianchi Laura Cercenelli Barbara Bortolani Pietro Piazza Matteo Droghetti Sara Boschi Caterina Gaudiano Giulia Carpani Francesco Chessa Francesco Chessa Simone Lodi Lorenzo Tartarini Alessandro Bertaccini Alessandro Bertaccini Rita Golfieri Emanuela Marcelli Riccardo Schiavina Riccardo Schiavina Eugenio Brunocilla Eugenio Brunocilla 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes Frontiers in Oncology 3D model surgical planning surgical outcomes renal cancer partial nephrectomy |
| title | 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes |
| title_full | 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes |
| title_fullStr | 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes |
| title_full_unstemmed | 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes |
| title_short | 3D renal model for surgical planning of partial nephrectomy: A way to improve surgical outcomes |
| title_sort | 3d renal model for surgical planning of partial nephrectomy a way to improve surgical outcomes |
| topic | 3D model surgical planning surgical outcomes renal cancer partial nephrectomy |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1046505/full |
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