Abstract
Objectives
To assess the efficacy of diffusion kurtosis imaging (DKI) in differentiating low-grade from high-grade tumors and evaluating the aggressiveness of bladder cancer.
Methods
From January 2017 to July 2017, 35 patients (28 males, 7 females; mean age 63 ± 9 years) diagnosed with bladder cancer underwent diffusion-weighted imaging (DWI) with two types of DKI protocols: (1) multi-b value ranging from 0 to 2000 s/mm2 to obtain mean diffusivity/kurtosis (MDb/MKb) and (2) the tensor method with 32 directions with 3 b values (0, 1000, and 2000s/mm2) to obtain mean/axial/radial diffusivity (MDt/Da/Dr), mean/axial/radial kurtosis (MKt/Ka/Kr), and fractional anisotropy (FA) before radical cystectomy. Comparisons between the low- and high-grade groups, non-muscle-invasive bladder cancer (NMIBC), and muscle-invasive bladder cancer (MIBC) were performed with the areas under the receiver operating characteristic curves (AUCs).
Results
The MKt and Kr values were significantly (p = 0.017 and p = 0.048) higher in patients with high-grade bladder tumors than in those with low-grade tumors. The MKt, Kr, and MKb values were significantly (p = 0.022, p = 0.000, and p = 0.044, respectively) higher in patients with MIBC than in those with NMIBC, while no significant differences (p > 0.05) were found in other values. The AUC of Kr (0.883) was the largest and was significantly higher than those of other metrics (all p < 0.05) for differentiating MIBC from NMIBC, with a sensitivity and specificity of 81.8% and 91.7%, respectively.
Conclusions
Kurtosis metrics performed better than diffusion metrics in differentiating MIBC from NMIBC, and directional kurtosis and Kr metrics may also have great potential in providing additional information regarding bladder cancer invasiveness.
Key Points
• Kurtosis metrics performed better than diffusion metrics in differentiating muscle-invasive bladder cancer (MIBC) from non-muscle-invasive bladder cancer (NMIBC).
• Directional kurtosis can provide additional directional microstructural information regarding bladder cancer invasiveness.
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Abbreviations
- ADC:
-
Apparent diffusion coefficient
- AUC:
-
Area under the receiver operating characteristic curve
- CLLS:
-
Constrained linear least-square
- Da:
-
Axial diffusivity
- DKT:
-
Diffusion kurtosis tensor
- Dr.:
-
Radial diffusivity
- DTI:
-
Diffusion tensor imaging
- DWI:
-
Diffusion-weighted imaging
- FA:
-
Fractional anisotropy
- ICC:
-
Intraclass correlation coefficient
- Ka:
-
Axial kurtosis
- Kr:
-
Radial kurtosis
- MIBC:
-
Muscle-invasive bladder cancer
- MK:
-
Mean kurtosis
- MRI:
-
Magnetic resonance imaging
- NMIBC:
-
Non-muscle-invasive bladder cancer
- ROC:
-
Receiver operator characteristic
- TUR:
-
Transurethral resection
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Funding
This study has received funding from the National Natural Science Foundation of China (Youth Program Nos. 81601487, 81672514).
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The scientific guarantor of this publication is Jian-Rong Xu.
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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.
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No complex statistical methods were necessary for this paper.
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Written informed consent was obtained from all subjects (patients) in this study.
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• retrospective
• diagnostic study
• performed at one institution
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Wang, F., Chen, HG., Zhang, RY. et al. Diffusion kurtosis imaging to assess correlations with clinicopathologic factors for bladder cancer: a comparison between the multi-b value method and the tensor method. Eur Radiol 29, 4447–4455 (2019). https://doi.org/10.1007/s00330-018-5977-y
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DOI: https://doi.org/10.1007/s00330-018-5977-y