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European Radiology

, Volume 29, Issue 5, pp 2293–2301 | Cite as

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 XingEmail author
Magnetic Resonance

Abstract

Objective

To 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.

Methods

Seventy-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 m2), non-severe renal function impairment (non-sRI, eGFR ≥ 30 mL/min/1.73 m2, and < 80 mL/min/1.73 m2), or control (CG, eGFR ≥ 80 mL/min/1.73 m2) groups. Thirteen texture features were extracted and then were analyzed to select the most valuable for discerning the three groups with each imaging method. A ROC curve was performed to compare the capacities of the features to differentiate non-sRI from sRI or CG.

Results

Six features proved to be the most valuable for assessing renal dysfunction: 0.25QuantileDWI, 0.5QuantileDWI, HomogeneityDWI, EntropyBOLD, SkewnessSWI, and CorrelationSWI. Three features derived from DWI (0.25QuantileDWI, 0.5QuantileDWI, and HomogeneityDWI) were smaller in sRI than in non-sRI; EntropyBOLD and CorrelationSWI were smaller in non-sRI than in CG (p < 0.05). 0.25QuantileDWI, 0.5QuantileDWI, and HomogeneityDWI showed similar capacities for differentiating sRI from non-sRI. Similarly, EntropyBOLD and CorrelationSWI showed equal capacities for differentiating non-sRI from CG.

Conclusion

Texture 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.

Keywords

Diffusion magnetic resonance imaging Chronic kidney disease Chronic renal insufficiency Image processing, computer-assisted 

Abbreviations

ADC

Apparent diffusion coefficient

AKI

Acute kidney injury

AUC

Area under the receiver operating characteristic curve

BOLD

Blood oxygen level–dependent MRI

CCC

Concordance correlation coefficient

CG

Control group

CI

Confidence interval

CKD

Chronic kidney disease

DWI

Diffusion-weighted imaging

eGFR

Estimated glomerular filtration rate

GLCM

Gray-level co-occurrence matrix

IQR

Interquartile range

MAD

Median absolute deviation

MRI

Magnetic resonance imaging

non-sRI

Non-severe renal function impairment

ROC

Receiver operating characteristic curve

sRI

Severe renal function impairment

SWI

Susceptibility-weighted imaging

T2WI

T2-weighted imaging

Notes

Funding

This work was supported by the National Natural Science Foundation of China (81771798, 81771805); Jiangsu Provincial Medical Youth Talent Program, China (QNRC2016299); General Program of Jiangsu Provincial Commission of Health and Family Planning, China (H2017003); Key Project of Health Commission of Changzhou, Jiangsu, China (ZD201509); Applied and Basic Research Program of Science and Technology Bureau of Changzhou, Jiangsu, China (CJ20160038); and Changzhou Municipal Medical Youth Talent Program, Jiangsu, China (QN201610).

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Wei Xing.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

Bin Xu kindly provided statistical advice for this manuscript.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

This study was approved by Ethics Committee of Third Affiliated Hospital of Soochow University.

Methodology

• retrospective

• cross-sectional study

• performed at one institution

Supplementary material

330_2018_5911_MOESM1_ESM.docx (18 kb)
Table S1 (DOCX 17 kb)

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Copyright information

© European Society of Radiology 2018

Authors and Affiliations

  • Jiule Ding
    • 1
  • Zhaoyu Xing
    • 2
  • Zhenxing Jiang
    • 1
  • Hua Zhou
    • 3
  • Jia Di
    • 3
  • Jie Chen
    • 1
  • Jianguo Qiu
    • 1
  • Shengnan Yu
    • 1
  • Liqiu Zou
    • 4
  • Wei Xing
    • 1
    Email author
  1. 1.Department of RadiologyThird Affiliated Hospital of Soochow UniversityChangzhouChina
  2. 2.Department of UrologyThird Affiliated Hospital of Soochow UniversityChangzhouChina
  3. 3.Department of NephrologyThird Affiliated Hospital of Soochow UniversityChangzhouChina
  4. 4.Department of Radiology, Shenzhen nanshan People’s HospitalShenzhen University Health Science CenterShenzhenChina

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