DTI、DCE-MRI参数在前列腺癌中的诊断价值

doi:10.3969/j.issn.1671-7171.2025.04.030

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Abstract 【Objective】To explore the clinical application value of diffusion tensor imaging (DTI) and dynamic contrast-enhanced resonance scanning (DCE-MRI) parameters alone and in combination in the diagnosis of prostate cancer. 【Methods】A total of 89 patients with suspected prostate cancer who received urological treatment in our hospital from January 2019 to January 2023 were selected as the research subjects. According to the pathological examination results, the patients were divided into the benign prostatic hyperplasia group (BPH group) (n=57) and the prostate cancer group (n=32). The DTI parameters [manifestation diffusion coefficient (ADC), partial anisotropy value (FA)] and DCE-MRI parameters [volume transport constant (K_trans), rate constant (K_ep), and extracellular volume fraction outside the blood vessels (V_e)] of the two groups were compared. The receiver operating characteristic (ROC) curve was used to analyze the value of DTI and DCE-MRI parameters alone in predicting prostate cancer, and the Kappa test was used for consistency analysis. 【Results】 The pathological examination results of 89 patients showed that 57 cases had BPH, among which 27 cases had mild benign prostatic hyperplasia, 20 cases had moderate hyperplasia, and 10 cases had severe hyperplasia. There were 32 cases of prostate cancer, including 27 cases of well-differentiated adenocarcinoma, 3 cases of poorly differentiated adenocarcinoma and 2 cases of undifferentiated carcinoma. The ADC in the prostate cancer group was lower than that in the BPH group, and the FA was higher than that in the BPH group. The difference was statistically significant (P<0.05). Both K_trans and K_ep in the prostate cancer group were higher than those in the BPH group, and the difference was statistically significant (P<0.05). There was no statistically significant difference in V_e between the two groups (P>0.05). ROC curve analysis showed that ADC、FA、K_trans、K_ep both DTI and DCE-MRI parameters could be used in the prediction of prostate cancer, and the areas under the curves were 0.875, 0.916, 0.878, and 0.899 respectively (P<0.05). Consistency analysis showed that the combined differentiation of prostate cancer by DTI and DCE-MRI parameters had an accuracy rate of 93.26%, a sensitivity of 92.98%, a specificity of 93.75%, a positive predictive value of 96.36%, a negative predictive value of 88.24%, and Kappa =0.856.【Conclusion】Both DTI and DCE-MRI parameters can be used to distinguish prostate cancer. The sensitivity is higher when used in combination. The combined diagnosis of multiple parameters can further improve the objectivity and accuracy of the diagnostic results and reduce the occurrence of missed diagnoses and misdiagnoses, which is worthy of clinical reference.

Key words： Prostatic Diseases Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Diagnosis Differential

Received: 24 March 2024

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R697.3

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	ZHANG Qingheng

Cite this article:

ZHANG Qingheng. The Clinical Application Value of DTI and DCE-MRI Parameters in the Diagnosis of Prostate Cancer[J]. JOURNAL OF CLINICAL RESEARCH, 2025, 42(4): 666-669.

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http://journal07.magtech.org.cn/yxlcyj/EN/10.3969/j.issn.1671-7171.2025.04.030 OR http://journal07.magtech.org.cn/yxlcyj/EN/Y2025/V42/I4/666

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