标题：Three-Dimensional Reconstruction Algorithm of Computed Tomography Imaging for Surgical Treatment and Rapid Rehabilitation Nursing of Renal Cell Carcinoma
摘要：This study was carried out to explore the promotion role of computed tomography (CT) imaging three-dimensional (3D) reconstruction technology and rapid rehabilitation nursing intervention (RRNI) in the treatment of patients with renal cell cancer (RCC) laparoscopic radical nephrectomy (LRN) in view of the patient’s condition. 98 RCC patients who were admitted to the hospital from July 2019 to July 2020 were selected as the research subjects, and all patients underwent the LRN and the RRIN. Of which, 46 RCC patients were scanned with CT images (regarded as the CT group), and 46 RCC patients were scanned with CT images based on 3D reconstruction algorithms (regarded as the 3D CT group). The clinical efficacy and the life quality, pain degree, and adverse mood changes before and after the RRN were analyzed and compared. The results showed that the surgery time in the 3D CT group and the CT group was 130.2 ± 42.8 minutes and 162.4 ± 38.5 minutes, respectively ( P 0.05 ). The recurrence rate of RCC in both groups was 0%. The estimated blood loss in the 3D CT group and the CT group was 93.6 ± 35.5 mL and 90.3 ± 40.2 mL, respectively; the complication rate in the 3D CT and CT group was 5% and 12%, respectively; the hospital stay in the 3D CT and CT group was 12.5 ± 4.7 days and 12.1 ± 3.2 days, respectively, which had no statistical significance ( P > 0.05 ). The scores of visual analogue scale (VAS), 36-Item Short-Form Health Survey (SF-36), self-rating depression scale (SDS), and self-rating anxiety scale (SAS) of patients in the two groups were statistically significant ( P 0.05 ). It indicated that CT images based on the 3D reconstruction algorithm could be applied in LRN of RCC patients to shorten the surgery time and improve the surgical effect, and implementation of the RRN could relieve the adverse mood of RCC patients and effectively improve their life quality.
