Author(s)

Jie Zhang^#, Hai-dong Chen^#, Li-fen Xie^#, Fen-xiong Liang, Yong-jun Peng^*, Jun Mao^*

Affiliation(s)

Department of Radiology, Zhuhai People’s Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China

Corresponding Author

Yong-jun Peng, Jun Mao

ABSTRACT

Objectives: To evaluate and compare the value of various metrics obtained from mono-exponential model (MEM) and bi-exponential model (BEM). MEM and BEM were based on diffusion weighted imaging (DWI) in differential diagnosis of benign and malignant prostate lesions. Methods: Consecutive 124 patients with pathologically confirmed prostate lesions (4 patients were confirmed prostatitis, 43 patients were confirmed benign prostatic hyperplasia, 30 patients were confirmed prostatitis with hyperplasia, 47 patients were confirmed prostatic cancer) received DWI of MEM and BEM. The apparent diffusion coefficient (ADC) from single b-factor range DWI were compared with the ADCslow, ADCfast, ADCstandard and Ffast from extended b-factor range DWI imaging between benign and malignant group. Receiver operating characteristic (ROC) curve and One Way ANOVA were performed to evaluate the diagnostic performance of different parameters. Results: The mean and normalised ADCslow, ADCfast, Ffast and ADC values were significantly lower in malignant group than those in benign group (P < 0.05). ADCstandard was significantly higher in malignant group than those in benign group (P < 0.05). If the maximum Youden’s index was taken as an optimal cut-off, the diagnostic threshold of ADCslow, ADCfast, ADCstandard, Ffast and ADC was 0.350×10?3 mm2/s, 0.520×10?3 mm2/s, 4.95×10?3 mm2/s, 0.421, 1.05×10?3 mm2/s, respectively. Conclusion: Different models of DWI, including MEM and BEM, are useful in the differential diagnosis of benign and malignant prostate lesions. However, ADCslow, ADCfast, Ffast have better diagnostic performance with increased sensitivity and specificity.

KEYWORDS

Prostate cancer; Prostate lesions; Diffusion magnetic resonance imaging; Diffusion weighted imaging

CITE THIS PAPER

Jie Zhang, Hai-dong Chen, Li-fen Xie, Fen-xiong Liang, Yong-jun Peng, Jun Mao. Differential diagnosis of benign prostate lesions and prostatic cancer using mono-exponential, bi-exponential models based diffusion weighted imaging. Acta Translational Medicine. 2019, 2(1): 7-12.

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