Volume 21 Issue 10
Oct.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(10): 1728-1731
JIN Jianguo, GAO Liyuan, WANG Xiangping, PAN Xiaoben. Preoperative evaluation of gastric cancer differentiation using DCE-MRI parameter histograms[J]. Chinese Journal of General Practice, 2023, 21(10): 1728-1731. doi: 10.16766/j.cnki.issn.1674-4152.003211
Citation: JIN Jianguo, GAO Liyuan, WANG Xiangping, PAN Xiaoben. Preoperative evaluation of gastric cancer differentiation using DCE-MRI parameter histograms[J]. Chinese Journal of General Practice, 2023, 21(10): 1728-1731. doi: 10.16766/j.cnki.issn.1674-4152.003211
shu

Preoperative evaluation of gastric cancer differentiation using DCE-MRI parameter histograms

doi: 10.16766/j.cnki.issn.1674-4152.003211
  • 1.

    Department of Radiology, Linping District, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 311100, China

Funds:

 82070610

 B20220841

  • Received Date: 2023-06-05
    Available Online: 2023-11-23
    Abstract
  •   Objective  To analyze the diagnostic value of quantitative parameters of DCE-MRI histogram in preoperative evaluating the degree of differentiation of gastric cancer.  Methods  A total of 128 patients with gastric cancer admitted to the Second Affiliated Hospital of Zhejiang University School of Medicine from May 2020 to May 2023 were selected as the study objects. DCE-MRI was performed before surgery to obtain the histogram of quantitative parameters of DCE-MRI, including the skewness, entropy, kurtosis, average value and 10%, 90% (P10, P90) of extravascular extracellular space volume ratio (Ve), volume transport constant (Ktrans) and rate constant (Kep). The value of the above parameters in evaluating the differentiation degree of gastric cancer was analyzed.  Results  The entropy, mean value, P10 and P90 of P10, Ktrans and Kep of Ve in low differentiation group were higher than those in middle differentiation group and high differentiation group (all P < 0.05). The skewness and kurtosis of Kep in low differentiation group were lower than those in middle differentiation group and high differentiation group (all P < 0.05). Logistic regression analysis showed that abnormal increases in Ktrans entropy, mean value, skewness, entropy, mean value, P10, P90 and Kep levels were risk factors affecting the differentiation degree of gastric cancer (all P < 0.05). ROC results showed that the AUC of Ktrans entropy, mean value, P10, P90 and Kep skewness, entropy, mean value, P10 and P90 in the diagnosis of poorly differentiated gastric cancer were 0.739, 0.806, 0.812, 0.758, 0.714, 0.726, 0.786, 0.761 and 0.749, respectively.  Conclusion  DCE-MRI quantitative parameter histogram has high diagnostic value in predicting the differentiation degree of gastric cancer, and Ktrans P10 has the best diagnostic efficacy.

     

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