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Three-dimensional Reconstruction of Renal Vascular Tumor Anatomy to facilitate accurate preoperative planning of partial nephrectomy
OBJECTIVES: To evaluate the role of three-dimensional (3D) reconstruction tumors and vessels of the kidneys in aiding the preoperative planning of partial nephrectomy. MATERIALS AND METHODS: Patients with renal tumors to be treated with partial nephrectomy were included. Each patient underwent a pre...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
China Medical University
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735978/ https://www.ncbi.nlm.nih.gov/pubmed/33854933 http://dx.doi.org/10.37796/2211-8039.1078 |
Sumario: | OBJECTIVES: To evaluate the role of three-dimensional (3D) reconstruction tumors and vessels of the kidneys in aiding the preoperative planning of partial nephrectomy. MATERIALS AND METHODS: Patients with renal tumors to be treated with partial nephrectomy were included. Each patient underwent a preoperative computed tomography (CT) survey, and the reconstruction of each patient’s 3D arteriography and 3D surface-rendered tumor was performed based on the CT images for preoperative surgical planning. RESULTS: A total of 6 patients, three with tumors of the right kidney and three with tumors of the left kidney, were enrolled in the study. The patients’ mean age was 49.33 ± 4.03 years (range: 45–57 years), and their mean tumor size was 4.4 ± 1.84 cm (range: 2.2–6.8 cm). Four underwent robot-assisted laparoscopic partial nephrectomies, one underwent a traditional laparoscopic partial nephrectomy, and one underwent a radical nephrectomy through laparotomy. Their average postoperative hospital stay was 6.7 days (range: 3–10 days). No intraoperative or postoperative complications were noted. The renal function was preserved in all the patients, and none of the patients exhibited evidence of local recurrence during more than 6 years of follow-up. CONCLUSIONS: 3D arteriography fused with 3D surface-rendered tumor image navigation facilitates precise preoperative planning. |
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