Evidence map›Paper›PMID 30560361›Full record

ArticleEuropean radiology2019

Evaluation of renal dysfunction using texture analysis based on DWI, BOLD, and susceptibility-weighted imaging.

Jiule Ding, Zhaoyu Xing, Zhenxing Jiang, Hua Zhou, Jia Di, Jie Chen, Jianguo Qiu, Shengnan Yu, Liqiu Zou, Wei Xing

Abstract read
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

22 citing papers in PubMed, 39 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Jiule DingDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Zhaoyu XingDepartment of Urology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Zhenxing JiangDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Hua ZhouDepartment of Nephrology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Jia DiDepartment of Nephrology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Jie ChenDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Jianguo QiuDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Shengnan YuDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China.
Liqiu ZouDepartment of Radiology, Shenzhen nanshan People's Hospital, Shenzhen University Health Science Center, Shenzhen, 518000, Guangdong, China.
Wei XingDepartment of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, 213003, Jiangsu, China. suzhxingwei@126.com.
Soochow University · CNShenzhen University Health Science Center · CN

Funding

EARLY THERAPEUTICS DEVELOPMENT WITH PHASE 2 EMPHASIS-261017003N01CA017003 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · 2002 to 2005
–
Applied and Basic Research Program of Science and Technology Bureau of Changzhou, Jiangsu, China CJ20160038Changzhou Municipal Medical Youth Talent Program, Jiangsu, China QN201610General Program of Jiangsu Provincial Commission of Health and Family Planning, China H2017003Jiangsu Provincial Medical Youth Talent Program, China QNRC2016299Key Project of Health Commission of Changzhou, Jiangsu, China ZD201509National Natural Science Foundation of China 81771798National Natural Science Foundation of China 81771805
6 · The paper itself

Abstract

objectiveTo explore the value of texture analysis based on diffusion-weighted imaging (DWI), blood oxygen level-dependent MRI (BOLD), and susceptibility-weighted imaging (SWI) in evaluating renal dysfunction.

methodsSeventy-two patients (mean age 53.72 ± 13.46 years) underwent MRI consisting of DWI, BOLD, and SWI. According to their estimated glomerular filtration rate (eGFR), the patients were classified into either severe renal function impairment (sRI, eGFR < 30 mL/min/1.73 m

resultsSix features proved to be the most valuable for assessing renal dysfunction: 0.25Quantile

conclusionTexture analysis based on DWI, BOLD, and SWI can assist in assessing renal dysfunction, and texture features based on BOLD and SWI may be suitable for assessing renal dysfunction during early stages. KEY POINTS: • Texture analysis based on MRI techniques allowed for assessing renal dysfunction. • Texture features based on BOLD and SWI, but not DWI, may be suitable for assessing renal function impairment during early stages. • SWI exhibited a similar capacity to BOLD for assessing renal dysfunction.

Indexed as

Glomerular Filtration RateAdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansKidneyMagnetic Resonance ImagingMaleMiddle AgedOxygenRenal Insufficiency, ChronicRetrospective StudiesROC CurveOxygenChronic kidney diseaseChronic renal insufficiencyDiffusion magnetic resonance imagingImage processing, computer-assisted

Identifiers

PMID30560361
OpenAlexW2903623110

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Registered trials

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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.