| Autor: |
Lorenzo Bianchi, Laura Cercenelli, Barbara Bortolani, Pietro Piazza, Matteo Droghetti, Sara Boschi, Caterina Gaudiano, Giulia Carpani, Francesco Chessa, Simone Lodi, Lorenzo Tartarini, Alessandro Bertaccini, Rita Golfieri, Emanuela Marcelli, Riccardo Schiavina, Eugenio Brunocilla |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Oncology, Vol 12 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2234-943X |
| DOI: |
10.3389/fonc.2022.1046505 |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
