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Three-dimensional Virtual Models' Assistance During Minimally Invasive Partial Nephrectomy Minimizes the Impairment of Kidney Function.
Amparore, Daniele; Pecoraro, Angela; Checcucci, Enrico; Piramide, Federico; Verri, Paolo; De Cillis, Sabrina; Granato, Stefano; Angusti, Tiziana; Solitro, Federica; Veltri, Andrea; Fiori, Cristian; Porpiglia, Francesco.
Afiliación
  • Amparore D; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy. Electronic address: danieleamparore@hotmail.it.
  • Pecoraro A; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Checcucci E; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Piramide F; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Verri P; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • De Cillis S; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Granato S; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Angusti T; Division of Radiology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Solitro F; Division of Radiology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Veltri A; Division of Radiology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Fiori C; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
  • Porpiglia F; Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano (Turin), Italy.
Eur Urol Oncol ; 5(1): 104-108, 2022 02.
Article en En | MEDLINE | ID: mdl-33903083
Three-dimensional virtual models (3DVMs) are nowadays under scrutiny to improve partial nephrectomy (PN) outcomes. This report aims to analyze their impact on renal function preservation after minimally invasive PN. A total of 100 patients treated with minimally invasive PN with contrast-enhanced computed tomography from which a 3DVM was obtained, and having undergone baseline and 3rd month postoperative renal scans were prospectively enrolled and compared with a control group of 251 patients without 3DVMs. Weighted differential of pre- and postoperative renal scan-based effective renal plasmatic flow (b-WD ERPF) was calculated, according to the availability of 3DVMs and PADUA risk category. Multivariable logistic regression (MLR) models predicting a significant loss of renal function (LORF; ERPF drop >20%) were performed, overall and according to PADUA risk categories. The b-WD ERPF of the 3DVM group showed significantly lower LORF (-10%) than that of the control group (-19.6%, p = 0.02). In MLR, the availability of a 3DVM was found to be the only protective factor against a significant LORF (odds ratio [OR] = 0.3, p = 0.002). Moreover, after stratification as per tumor surgical complexity, this protective role was observed in both PADUA 8-9 and ≥10 category risk patients (OR = 0.3, p = 0.03 and OR = 0.1, p = 0.01). PATIENT SUMMARY: The drop in operated kidney function was significantly lower in surgeries assisted by three-dimensional virtual models (3VDMs), indicating that the availability of a 3VDM is the only protective factor against a significant functional damage.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Renales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Eur Urol Oncol Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Renales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Eur Urol Oncol Año: 2022 Tipo del documento: Article