Evidence map›Paper›PMID 37711810›Full record

ArticleQuantitative imaging in medicine and surgery2023

Spectral computed tomography parameters could be surrogate imaging markers to detect early perfusion changes in diabetic kidneys.

Wei Zheng, Ronghua Mu, Xiaoyan Qin, Xin Li, Fuzhen Liu, Zeyu Zhuang, Peng Yang, Yahui Liang, Xiqi Zhu

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wei Zheng *Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Ronghua Mu *Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Xiaoyan Qin *Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Xin LiDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Fuzhen LiuDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Zeyu ZhuangDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Peng YangDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Yahui LiangDepartment of Radiology, Guilin Medical University, Guilin, China.
Xiqi ZhuDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney microvasculopathy is the baseline pathophysiological feature of diabetic kidney disease (DKD). We aimed to evaluate the spectral computed tomography (CT) parameters for detecting renal perfusion changes among diabetic patients. Methods: From August 2020 to June 2022, 34 patients (age, 57.7±10.7 years; male, 20) clinically diagnosed with type 2 diabetes mellitus (DM) and 19 DM-free individuals (age, 48.1±16.9 years; male, 12) were selected for analysis. The series participants formed the DM group and control group, respectively. Spectral parameters, including effective atomic number (Z Results: The results indicate that in both cortical and medullary phases, the values of Z Conclusions: Spectral CT could serve as an alternative protocol for the early identification of kidney injury in diabetic patients.

Indexed as

computed tomography (CT)diabetic kidney diseaseperfusion disorderspectral parametersX-ray

Identifiers

PMID37711810
PMCPMC10498262

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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.