Journal of Hebei Medical University ›› 2021, Vol. 42 ›› Issue (4): 444-447,453.doi: 10.3969/j.issn.1007-3205.2021.04.016

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Comparison of application of DCE-MRI and apparent diffusion coefficient to classification diagnosis of prostate cancer

  

  1. The First Department of Medical Imaging, the First Central Hospital of Baoding, Hebei Province, Baoding 071000, China
  • Online:2021-04-25 Published:2021-04-29

Abstract: Objective  To compare the application of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI) and apparent diffusion coefficient(ADC) in the classification diagnosis of prostate cancer. 
Methods  A total of 76 patients with prostate cancer treated in our hospital were retrospectively analyzed. According to the Gleason score, prostate cancer patients were divided into low-to-moderate-risk group(Gleason score <8 points, n=50) and high-risk group(Gleason score≥8 points). All patients underwent prostate DCE-MRI and diffusion-weighted imaging(DWI) examinations. DCE-MRI parameters, ADC levels, and DWI signal strength values under different diffusion sensitivity coefficients were compared between the two groups of patients. The receiver operating characteristics(ROC) curve was used to analyze clinical value of DCE-MRI parameters and ADC for classification diagnosis of prostate cancer. 
Results  Under different diffusion sensitivity coefficients, the DWI signal strength values and ADC values in the low-to-moderate-risk group were significantly higher than those in the high-risk group(P<0.05). The levels of Kep and Ve in patients with low-to-moderate-risk group were significantly higher than those in high-risk group(P<0.05), but there was no significant difference in Ktrans and Kep values between two groups(P>0.05). The ROC curve was used to analyze the difference in the levels of Ktrans, Vp, and ADC between two groups. The results showed that the areas under the curve of Ktrans, Vp, and ADC were 0.738, 0.294, and 0.645, respectively, and the optimal cutoff values were 1.720(min), 0.366, and 85.825(10-5mm2/s), respectively. The sensitivity was 92.1%, 89.6%, and 93.1%, respectively and the specificity was 55.0%, 62.7%, and 80.2%, respectively. 
Conclusion  Both DCE-MRI and ADC have higher diagnostic value for the classification of prostate cancer, and the diagnostic value of ADC is better than DCE-MRI.


Key words: prostatic neoplasms, magnetic resonance imaging, diagnosis, computer-assisted