Evidence map›Paper›PMID 40316663›Full record

ArticleScientific reports2025

Kidney volume measurement and predictive modeling in children aged 0-18 years using a computer-assisted surgery system.

Yao Liu, Ning Xu, Xia Yang, Feifei Wang, Fengjiao Wang, Rongkun Zhu, Yuhe Duan, Xiwei Hao, Xue Chen, Chenyuan Bian and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yao Liu *Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China.
Ning Xu *Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China.
Xia YangShandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao, China.
Feifei WangShandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao, China.
Fengjiao WangShandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao, China.
Rongkun ZhuDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China.
Yuhe DuanDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China.
Xiwei HaoDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China.
Xue ChenShandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao, China.
Chenyuan BianShandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao, China.
Nan XiaShandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao, China. loojourney@163.com.
Qian DongDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China. 18661801885@163.com.

Funding

Shandong & Chongqing Science and technology cooperation project CSTB2023TIAD-LDX0029
6 · The paper itself

Abstract

This study aimed to measure the normal renal volume in children and adolescents aged 0-18 years from the eastern coastal region of China using the computer-assisted surgery (CAS) system. Accurate measurement of kidney volume is important as a marker for follow-up in patients with congenital anomalies. We established reference ranges for renal volume based on age, height, and weight, and developed predictive models using commonly available clinical data. A total of 803 children and adolescents participated, with clinical data including age, gender, height, weight, body mass index (BMI) and body surface area (BSA) collected. The Hisense CAS system was employed to perform 3D reconstructions of CT images, allowing precise measurement of left and right kidney volumes. Statistical analysis revealed a significant difference in size between the left and right kidneys (P < 0.01), with the left kidney being larger in 79.08% of cases. Age, height, weight, BMI, and BSA were all significantly correlated with kidney volume, with BSA showing the strongest correlation. We developed predictive formulas based on height and weight with good accuracy (R² = 0.896 for left kidney and R² = 0.891 for right kidney). These findings provide reference values for renal volume and offer useful tools for early detection and monitoring of renal abnormalities in the pediatric population.

Indexed as

KidneySurgery, Computer-AssistedAdolescentBody HeightBody Mass IndexBody Surface AreaBody WeightChildChild, PreschoolChinaFemaleHumansImaging, Three-DimensionalInfantInfant, NewbornMale3D reconstructionChildrenComputer-assisted surgeryKidney volume

Identifiers

PMID40316663
PMCPMC12048681

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.