Evidence map›Paper›PMID 40775759›Full record

ArticleBMC cancer2025

Value of anatomical partitioning of the retroperitoneal space in determining the origin of neurogenic tumors.

Yuwei Li, Haowen Zhao, Jingjing Chen, Huacheng Chen, Guangmao Ni, Yanming Ge, Chunjing Liang, Peng Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 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

8 authors.

Yuwei Li *Medical Imaging Center, The Affiliated Hospital of Shandong Second Medical University, Weifang, 261031, Shandong, China.
Haowen Zhao *Medical Imaging Center, The Affiliated Hospital of Shandong Second Medical University, Weifang, 261031, Shandong, China.
Jingjing Chen *Department of Radiology, The Affiliated Hospital of Qingdao University School of Medicine, Qingdao, 266000, Shandong, China.
Huacheng ChenDepartment of Radiology, The Traditional Chinese Medicine Hospital of Shandong Second Medical University, Weifang, 261041, Shandong, China.
Guangmao NiSchool of Medical Imaging, Shandong Second Medical University, Weifang, 261053, Shandong, China.
Yanming GeMedical Imaging Center, The Affiliated Hospital of Shandong Second Medical University, Weifang, 261031, Shandong, China.
Chunjing LiangSchool of Medical Imaging, Shandong Second Medical University, Weifang, 261053, Shandong, China. liangchunjing@sdsmu.edu.cn.
Peng DongMedical Imaging Center, The Affiliated Hospital of Shandong Second Medical University, Weifang, 261031, Shandong, China. dongpeng@sdsmu.edu.cn.

Funding

Chunjing Liang No. 22307094 and No.ZR2023QH242
6 · The paper itself

Abstract

backgroundTo analyze the anatomical partitioning of the retroperitoneal space and determine the distribution patterns of primary retroperitoneal neurogenic tumors (PRNTs).

methodsRetrospectively analyze the clinical data and CT data of 401 patients with single-injection PRNT confirmed by surgical pathology, including 103 cases of neuroendocrine origin, 148 cases of neuroectodermal origin, and 150 cases of peripheral nerve origin. The retroperitoneal space was divided into the anterior pararenal space, posterior pararenal space, perirenal space, and great vessel space. The anatomical location of each PRNT was determined using axial CT images, and distribution patterns of PRNTs with different pathological properties were analyzed.

resultsThere were statistically significant differences in the distribution of benign and malignant PRNTs (p < 0.01), PRNTs from different tissues (p < 0.01), and PRNTs of different pathological types (p < 0.01) in different anatomical divisions. The occurrence of PRNTs varied significantly by age group, with statistically significant differences across pathological types (p < 0.01).

conclusionThe anatomical distribution of PRNT could provide an effective imaging basis for the diagnosis and differential diagnosis of PRNT, aiding in more accurate clinical assessment and treatment planning.

Indexed as

Image Interpretation, Computer-AssistedNeoplasms, Nerve TissueRetroperitoneal NeoplasmsRetroperitoneal SpaceTomography, X-Ray ComputedAdolescentAdultAgedChildChild, PreschoolDiagnosis, DifferentialFemaleHumansInfantMaleMiddle AgedComputed TomographyNeurogenic TumorsRetroperitoneal Neoplasms

Identifiers

PMID40775759
PMCPMC12333192

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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.