Abstract

This study was to explore the clinical application value of computed tomography (CT) images based on a three-dimensional (3D) reconstruction algorithm for laparoscopic partial nephrectomy (LPN) in patients with renal tumors. 30 cases of renal cell carcinoma (RCC) patients admitted to the hospital were selected as the research objects and were rolled into two groups using a random table method. The patients who received PLN under the three-dimensional reconstruction and laparoscopic technique were included in the experimental group (group A), and the patients who received LPN using CT images only were included in the control group (group B). In addition, the treatment results of the two groups of patients were compared and analyzed. Results. The effective rate of the established model was 93.3%; the total renal arteriovenous variability of group A (13.3%) was higher than that of group B (6.7%), and the operation time (131.5 ± 32.1 minutes) was much lower than that of group B (158.7 ± 36.2 minutes), showing statistical significance (P < 0.05). Conclusion. CT images based on 3D reconstruction algorithms had high clinical application value for LPN in patients with renal tumors, which could improve the efficiency and safety of LPN.

Highlights

  • For early renal cell carcinoma (RCC), especially small RCC with a tumor diameter of less than 4 cm, the therapeutic effects of laparoscopic partial nephrectomy (LPN) and laparoscopic radical nephrectomy (LRN) are basically the same [1]

  • Research Objects. irty cases of renal cell carcinoma (RCC) patients admitted to the hospital from September 2018 to September 2019 were selected as the research objects and were rolled into two groups using a random table method. e patients who received PLN under the threedimensional reconstruction and laparoscopic technique were included in the experimental group, and the patients who received LPN using computed tomography (CT) images only were included in the control group

  • A 3D reconstruction model of the kidney of 15 patients in group A was successfully constructed. is model can clearly show the main renal artery and its fourth-level branches and the main renal vein and its second-level branches. e renal can be visually observed through this model. e outline of the tumor more objectively and effectively reflects the size of the renal tumor and its spatial distribution with other tissue structures; the kidney collecting system showed a clear structure and natural connections; the entire kidney system structure was clearly displayed with anatomical details

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Summary

Introduction

For early renal cell carcinoma (RCC), especially small RCC with a tumor diameter of less than 4 cm, the therapeutic effects of LPN and laparoscopic radical nephrectomy (LRN) are basically the same [1]. Because LPN only removes the tumor and part of the kidney tissue, the overall renal function after surgery is better than LRN [2]. With the continuous updating of surgical instruments and the development of laparoscopic surgery technology in recent years, the retroperitoneal approach has gradually become a hot spot for scholars. In traditional medical imaging inspections, doctors mainly use tomographic images of a certain part of the human body and usually present the imaging results in two-dimensional images such as films or display screens. In traditional medical imaging inspections, doctors mainly use tomographic images of a certain part of the human body and usually present the imaging results in two-dimensional images such as films or display screens. e result of this method is that the image results obtained are only judged by the personal subjective experience of the doctor. e doctor can only observe the subtleties of the image with the naked eye and the lack of objective evidence to support it, which may delay the condition of the patient [5]

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