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

  • Magnetic Resonance
  • Published:
European Radiology Aims and scope Submit manuscript

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.

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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

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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).

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Corresponding author

Correspondence to Wei Xing.

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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

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Ding, J., Xing, Z., Jiang, Z. et al. Evaluation of renal dysfunction using texture analysis based on DWI, BOLD, and susceptibility-weighted imaging. Eur Radiol 29, 2293–2301 (2019). https://doi.org/10.1007/s00330-018-5911-3

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  • DOI: https://doi.org/10.1007/s00330-018-5911-3

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