体素内不相干运动模型直方图参数对前列腺癌和前列腺增生结节的鉴别诊断
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安徽省教育厅高等学校省级质量工程项目(2024xjzlts020);


Differential diagnosis of prostate cancer and benign prostatic hyperplasia by intravoxel incoherent motion model histogram parameters
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    摘要:

    目的:分析体素内不相干运动(IVIM)模型直方图参数对前列腺癌(PCa)和前列腺增生结节(BPH)的鉴别诊断效能。方法:回顾性分析接受多参数MRI(mpMRI)检查的90例未接受过激素或放射治疗的临床可疑PCa患者临床资料,根据病理结果分为PCa组(n=39)及BPH组(n=51)。得到定量扩散系数(D)、伪扩散系数(D*)、灌注分数(f)和表观扩散系数(ADC)的直方图参数并比较差异。同时运用ROC曲线分析各参数在鉴别PCa和BPH时的诊断效能。结果:PCa组的D平均值、75%位数、90%位数、最大值均低于BPH组(P<0.05),D*最小值、10%位数也低于BPH组(P<0.05);f平均值、各主要位数及峰度均低于BPH组(P<0.05);ADC最小值、各主要位数、最大值均低于BPH组(P<0.05),峰度则高于BPH组(P<0.05)。D平均值、D*最小值、f平均值、ADC 50%位数的AUC较高。结论:IVIM模型直方图参数在PCa和BPH的鉴别诊断中具有明显优势,可为临床诊断提供有价值的参考依据。

    Abstract:

    Objective: To analyze the differential diagnosis efficiency of intravoxel incoherent motion (IVIM) model histogram parameters for prostate cancer (PCa) and benign prostatic hyperplasia (BPH). Methods: The clinical data of 90 patients with clinically suspected PCa but without hormone therapy or radiotherapy who underwent multiparametric MRI (mpMRI) examination were retrospectively analyzed. The enrolled patients were classified into the PCa group and the BPH group based on pathological results. Histogram parameters such as the pseudo-diffusion coefficient (), quantitative diffusion coefficient (D), apparent diffusion coefficient (ADC), and perfusion fraction (f) were obtained, and differences in these parameters were compared. The diagnostic efficiency of each parameter in differentiating PCa from BPH was analyzed by drawing receiver operating characteristic (ROC) curves. Results: The mean value, 75th percentile, 90th percentile, and maximum value of D in the PCa group were lower than those in the BPH group (P<0.05), and the minimum value and 10th percentile of D were also lower (P<0.05). The mean value, main percentiles, and kurtosis of f were lower in the PCa group than in the BPH group (P<0.05). The minimum value, main percentiles, and maximum value of ADC in the PCa group were lower, while kurtosis was higher compared to the BPH group (P<0.05). The areas under the curve (AUCs) of the mean value of D, minimum value of D*, mean value of f, and 50th percentile of ADC were significantly higher (P<0.05). Conclusion: IVIM model histogram parameters have significant advantages in identifying PCa and BPH, providing a valuable reference basis for clinical diagnosis.

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朱一芳;武红利;徐春生;王安琴.体素内不相干运动模型直方图参数对前列腺癌和前列腺增生结节的鉴别诊断[J].川北医学院学报,2026,41(2):230-234.

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  • 在线发布日期: 2026-03-05
  • 出版日期: 2026-02-28
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