Abstract
Purpose
A meta-analysis was performed to assess the diagnostic performance of diffusion-weighted imaging (DWI) in liver fibrosis (LF) staging.
Methods
We conducted a comprehensive literature search to identify relevant articles. Diagnostic data were extracted for each METAVIR fibrosis stage (F0–F4). A bivariate binomial model was used to combine sensitivities and specificities. Summary receiver operating characteristics (SROC) curves were performed and areas under SROC curve (AUC) were calculated to indicate diagnostic accuracies. Subgroup analyses were performed between different study characteristics.
Results
Twelve studies met the inclusion criteria for LF ≥F1, 16 for ≥F2, 18 for ≥F3, and 12 for F4. AUCs of DWI were 0.8554, 0.8770, 0.8836, and 0.8596 for ≥F1, ≥F2, ≥F3, and F4, respectively. Subgroup analyses showed that for LF ≥F2 and ≥F3, maximal b values (b max) ≥ 800 s/mm2 performed significantly better than b max < 800 s/mm2. The diagnostic accuracies of 3.0 T and intravoxel incoherent motion (IVIM)-DWI were significantly higher than those of 1.5 T and conventional DWI for diagnosing liver cirrhosis (F4).
Conclusions
DWI is a reliable noninvasive technique with good diagnostic accuracy for LF staging. Using b max ≥ 800 s/mm2, high-field strength (3.0 T) and IVIM-DWI can optimize the diagnostic performance of DWI.
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Abbreviations
- ADC:
-
Apparent diffusion coefficient
- AUC:
-
Area under SROC curve
- b max :
-
Maximal b value
- CI:
-
Confidence interval
- CLD:
-
Chronic liver disease
- DWI:
-
Diffusion-weighted imaging
- ECM:
-
Extracellular matrix
- FN:
-
False-negative
- FP:
-
False-positive
- HCC:
-
Hepatocellular carcinoma
- IVIM:
-
Intravoxel incoherent motion
- MR:
-
Magnetic resonance
- MRE:
-
Magnetic resonance elastography
- MRI:
-
Magnetic resonance imaging
- NLR:
-
Negative likelihood ratio
- PLR:
-
Positive likelihood ratio
- QUADAS-2:
-
Quality assessment of diagnostic accuracy studies-2
- SNR:
-
Signal-to-noise ratio
- SROC:
-
Summary receiver operating characteristics
- TN:
-
True-negative
- TP:
-
True-positive
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This study was funded by National Natural Science Foundation of China (Grant Number 81471658).
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Hanyu Jiang and Jie Chen have contributed equally to this work.
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Jiang, H., Chen, J., Gao, R. et al. Liver fibrosis staging with diffusion-weighted imaging: a systematic review and meta-analysis. Abdom Radiol 42, 490–501 (2017). https://doi.org/10.1007/s00261-016-0913-6
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DOI: https://doi.org/10.1007/s00261-016-0913-6