The feasibility and safety of adopting the left lumbar vein to localize the renal artery location during left transperitoneal laparoscopic partial nephrectomy

Author:

Yao Zhongshun,Zhao Jiming,Zheng Bin,Cong Zixiang,Zhang Yiming,Lv Jiaju,Niu Zhihong,Cheng Fajuan,He Wei

Abstract

BackgroundLaparoscopic partial nephrectomy (LPN) is the standard of care for localized small renal cancer. The most critical step in this form of surgery is to localize the renal artery. In the present study, we describe a novel technique that uses the left lumbar vein (LV) to access the left renal artery during LPN.Materials and methodsThis was a retrospective review of 130 cases of transperitoneal laparoscopic partial nephrectomies (TLPNs) performed on patients with renal cancer in our center between January 2018 and December 2021. Either the LV or non-lumbar vein (N-LV) technique was used to locate and manage the left renal artery. We recorded relevant clinical data from all patients, including patient characteristics, tumor data, and perioperative outcomes (artery mobilization time, operative time, estimated blood loss, and complications). Comparative analysis was then carried out between the cases using LV or N-LV vein techniques.ResultsAll TLPNs were successfully accomplished without conversion to open approaches. There were no complications involving the renal vessels during the entire study. The LV technique resulted in a significantly shorter time to mobilize the renal and significantly less estimated blood loss (p < 0.05). There was no significant difference between the two techniques with regard to perioperative complications.ConclusionThe left LV represents an anatomical landmark for locating the left renal artery in TLPN. This approach has numerous advantages over the transperitoneal approach including facilitating access to the left renal artery and reducing the duration of surgery.

Funder

Shandong Provincial Natural Science Foundation

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Surgery

Reference15 articles.

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1. MDM-U-Net: A novel network for renal cancer structure segmentation;Computerized Medical Imaging and Graphics;2023-10

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