1. Novel Volumetric and Morphological Parameters Derived from Three-dimensional Virtual Modeling to Improve Comprehension of Tumor’s Anatomy in Patients with Renal Cancer
- Author
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Lorenzo Bianchi, Giulia Carpani, Francesco Chessa, Alessandro Bertaccini, E. Balestrazzi, Emanuela Marcelli, A. Mottaran, Eugenio Brunocilla, Rita Golfieri, Laura Cercenelli, Alberta Cappelli, Pietro Piazza, Francesco V. Costa, Barbara Bortolani, Arianna Rustici, Riccardo Schiavina, Caterian Gaudiano, Sara Boschi, Matteo Droghetti, E. Molinaroli, Bianchi, Lorenzo, Schiavina, Riccardo, Bortolani, Barbara, Cercenelli, Laura, Gaudiano, Caterian, Mottaran, Angelo, Droghetti, Matteo, Chessa, Francesco, Boschi, Sara, Molinaroli, Enrico, Balestrazzi, Eleonora, Costa, Francesco, Rustici, Arianna, Carpani, Giulia, Piazza, Pietro, Cappelli, Alberta, Bertaccini, Alessandro, Golfieri, Rita, Marcelli, Emanuela, and Brunocilla, Eugenio
- Subjects
medicine.medical_specialty ,Urology ,medicine.medical_treatment ,Urinary system ,Kidney Volume ,Logistic regression ,Nephrectomy ,Robotic Surgical Procedures ,medicine.artery ,Linear regression ,medicine ,Humans ,Warm Ischemia ,Renal artery ,Univariate analysis ,business.industry ,Robot-assisted partial nephrectomy ,Three-dimensional parameters ,Kidney Neoplasms ,Renal cancer ,Sample size determination ,Radiology ,Three-dimensional modeling ,Comprehension ,business ,Complication - Abstract
Background Three-dimensional (3D) models improve the comprehension of renal anatomy. Objective To evaluate the impact of novel 3D-derived parameters, to predict surgical outcomes after robot-assisted partial nephrectomy (RAPN). Design, setting, and participants Sixty-nine patients with cT1-T2 renal mass scheduled for RAPN were included. Three-dimensional virtual modeling was achieved from computed tomography. The following volumetric and morphological 3D parameters were calculated: VT (volume of the tumor); VT/VK (ratio between tumor volume and kidney volume); CSA3D (ie, contact surface area); UCS3D (contact to the urinary collecting system); Tumor-Artery3D: tumor’s blood supply by tertiary segmental arteries (score = 1), secondary segmental artery (score = 2), or primary segmental/main renal artery (scoren = 3); ST (tumor’s sphericity); ConvT (tumor’s convexity); and Endophyticity3D (ratio between the CSA3D and the global tumor surface). Intervention RAPN with a 3D model. Outcome measurements and statistical analysis Three-dimensional parameters were compared between patients with and without complications. Univariate logistic regression was used to predict overall complications and type of clamping; linear regression was used to predict operative time, warm ischemia time, and estimated blood loss. Results and limitations Overall, 11 (15%) individuals experienced overall complications (7.2% had Clavien ≥3 complications). Patients with urinary collecting system (UCS) involvement at 3D model (UCS3D = 2), tumor with blood supply by primary or secondary segmentary arteries (Tumor-Artery3D = 1 and 2), and high Endophyticity3D values had significantly higher rates of overall complications (all p ≤ 0.03). At univariate analysis, UCS3D, Tumor-Artery3D, and Endophyticity3D are significantly associated with overall complications; CSA3D and Endophyticity3D were associated with warm ischemia time; and CSA3D was associated with selective clamping (all p ≤ 0.03). Sample size and the lack of interobserver variability are the main limits. Conclusions Three-dimensional modeling provides novel volumetric and morphological parameters to predict surgical outcomes after RAPN. Patient summary Novel morphological and volumetric parameters can be derived from a three-dimensional model to describe surgical complexity of renal mass and to predict surgical outcomes after robot-assisted partial nephrectomy.
- Published
- 2022
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