Liu Ying, Wang Xuan, Cui Yadong, Jiang Yuwei, Yu Lu, Liu Ming, Zhang Wei, Shi Kaining, Zhang Jintao, Zhang Chen, Li Chunmei, Chen Min
Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Department of Radiology, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China.
Front Oncol. 2020 Sep 11;10:1763. doi: 10.3389/fonc.2020.01763. eCollection 2020.
This study aimed to compare the potential of monoexponential model (MEM), intravoxel incoherent motion (IVIM) model, kurtosis model, and IVIM-kurtosis model in the diagnosis and aggressiveness assessment of prostate cancer (PCa). Thirty-six patients were recruited. Diffusion-weighted images were acquired on a 3.0-T magnetic resonance imaging (MRI) system using 0 values up to 2,000 s/mm and analyzed using four models: MEM (ADC), IVIM ( , *, ), kurtosis ( , ), and IVIM-kurtosis ( , , , ) models. The values of these parameters were calculated and compared between PCa, benign prostatic hyperplasia (BPH), and prostatitis. Correlations between these parameters and the Gleason score (GS) of PCa were evaluated using the Pearson test. Forty-five lesions were studied, including 18 PCa, 12 prostatitis, and 15 BPH lesions. The ADC, , , , and values were significantly lower and and values were significantly higher in PCa compared with prostatitis and BPH. The area under the curve (AUC) of ADC showed significantly higher values than that of and , but no statistical differences were found between the other parameters. The value correlated negatively and and values correlated positively with the GS. The MEM, IVIM, kurtosis, and IVIM-kurtosis models were all useful for the diagnosis of PCa, and the diagnostic efficacy seemed to be similar. The IVIM-kurtosis model may be superior to the MEM, IVIM, and kurtosis models in the grading of PCa.
本研究旨在比较单指数模型(MEM)、体素内不相干运动(IVIM)模型、峰度模型和IVIM-峰度模型在前列腺癌(PCa)诊断及侵袭性评估中的潜力。招募了36例患者。在3.0-T磁共振成像(MRI)系统上采集扩散加权图像,使用高达2000 s/mm²的b值,并采用四种模型进行分析:MEM(表观扩散系数[ADC])、IVIM(D、D*、f)、峰度(MK、K)和IVIM-峰度(D、D*、f、MK、K)模型。计算这些参数的值,并在PCa、良性前列腺增生(BPH)和前列腺炎之间进行比较。使用Pearson检验评估这些参数与PCa Gleason评分(GS)之间的相关性。研究了45个病灶,包括18个PCa病灶、12个前列腺炎病灶和15个BPH病灶。与前列腺炎和BPH相比,PCa的ADC、D、f、MK和K值显著降低,而D和K值显著升高。ADC的曲线下面积(AUC)显示的值显著高于D和f,但其他参数之间未发现统计学差异。MK值与GS呈负相关,D*和K值与GS呈正相关。MEM、IVIM、峰度和IVIM-峰度模型均对PCa的诊断有用,且诊断效能似乎相似。IVIM-峰度模型在PCa分级方面可能优于MEM、IVIM和峰度模型。