Evidence map›Paper›PMID 39735442›Full record

ArticleJournal of the National Cancer Center2024

Construction and application of a three-dimensional vascular variation-based nephrometry scoring system for completely endophytic renal tumors.

Aihetaimujiang Anwaier, Xiangxian Che, Lei Shi, Xi Tian, Shiqi Ye, Wenhao Xu, Yu Zhu, Hailiang Zhang, Dingwei Ye

Abstract read
In one paragraph

Article in Journal of the National Cancer Center, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Aihetaimujiang AnwaierDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiangxian CheDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Lei ShiDepartment of Operating Room, Fudan University Shanghai Cancer Center, Shanghai, China.
Xi TianDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shiqi YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wenhao XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yu ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Completely endophytic renal tumors (CERT) pose significant challenges due to their anatomical complexity and loss of visual clues about tumor location. A facile scoring model based on three-dimensional (3D) reconstructed images will assist in better assessing tumor location and vascular variations. Methods: In this retrospective study, 80 patients diagnosed with CERT were included. Forty cases underwent preoperative assessment using 3D reconstructed imaging (3D-Cohort), while the remaining 40 cases were assessed using two-dimensional imaging (2D-Cohort). Vascular variations were evaluated by ascertaining the presence of renal arteries > 1, prehilar branching arteries, and arteries anterior to veins. The proposed scoring system, termed RAL, encompassed three critical components: (R)adius (maximal tumor diameter in cm), (A)rtery (occurrence of arterial variations), and (L)ocation relative to the polar line. Comparison of the RAL scoring system was made with established nephrometry scoring systems. Results: A total of 48 (60%) patients exhibited at least one vascular variation. In the 2D-Cohort, patients with vascular variations experienced significantly prolonged operation time, increased bleeding volume, and extended warm ischemia time compared with those without vascular variations. Conversely, the presence of vascular variations did not significantly affect operative parameters in the 3D-Cohort. Furthermore, the 2D-Cohort demonstrated a notable decline in both short- and long-term estimated glomerular filtration rate (eGFR) changes compared with the 3D-Cohort, a trend consistent across patients with warm ischemia time ≥ 25 min and those with vascular variations. Notably, the 2D-Cohort exhibited a larger margin of normal renal tissue compared with the 3D-Cohort. Elevated RAL scores correlated with larger tumor size, prolonged operation time, extended warm ischemia time, and substantial postoperative eGFR decrease. The RAL scoring system displayed superior predictive capabilities in assessing postoperative eGFR changes compared with conventional nephrometry scoring systems. Conclusions: Our proposed 3D vascular variation-based nephrometry scoring system offers heightened proficiency in preoperative assessment, precise prediction of surgical complexity, and more accurate evaluation of postoperative renal function in CERT patients.

Indexed as

Completely endophytic renal tumorsNephrometry scoring systemRenal functionRobot-assistant partial nephrectomyThree-dimensional reconstructed imagesVascular variation

Identifiers

PMID39735442
PMCPMC11674429

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