Estimating aggressiveness of peripheral prostate cancer with quantitative parameters of MR multi-parameter imaging
10.13929/j.issn.1003-3289.2020.06.025
- VernacularTitle: MR多参数成像定量参数值评估外周带前列腺癌侵袭性
- Author:
Nan YAO
1
Author Information
1. Department of Radiology, Jiangmen Central Hospital, Affiliated Jiang Men Hospital of Sun Yat-sen University
- Publication Type:Journal Article
- Keywords:
Magnetic resonance imaging;
Neoplasm invasiveness;
Prostatic neoplasms
- From:
Chinese Journal of Medical Imaging Technology
2020;36(6):903-907
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the value of quantitative parameters of multi-parameter MR imaging (mp-MRI) for estimating aggressiveness of peripheral prostate cancer. Methods: Totally 41 peripheral prostate cancer patients (69 prostate cancer tissue samples) who underwent mp-MRI were collected. The scanning images were post-processed, and mp-MRI quantitative pseudo-color maps were obtained. Quantitative parameters of tumor tissue were measured, respectively. The samples were divided into ISUP<3 group (n=27) and ISUP ≥3 group (n=42) according to pathological ISUP grading. The parameters of mp-MRI were compared between two groups, and their diagnostic efficacy for ISUP<3 and ISUP≥3 peripheral prostate cancer was evaluated by using ROC curves. Results: ADC of ISUP<3 group was higher than that of ISUP≥3 group (P<0.05), while Ktrans value of ISUP<3 group was lower than that of ISUP≥3 group (P<0.05). Using independent predictors to estimate ISUP<3 and ISUP≥3 prostate cancer, taken 0.55 mm2/s as the cutoff value of ADC, the sensitivity was 0.80, specificity was 0.71, accuracy was 0.74 and AUC was 0.81, when taken 80.77×10-3/min as the cutoff value of Ktrans, the sensitivity was 0.85, specificity was 0.49, accuracy was 0.59 and AUC was 0.69. Using combination of the two above indicators, when cutoff value of was 0.290 1, the sensitivity was 0.90, specificity was 0.65, accuracy was 0.75 and AUC was 0.81. Conclusion: ADC and Ktrans of mp-MRI can be used as independent predictors to estimate aggressiveness of peripheral prostate cancer, and the combination of ADC and Ktrans is more effective than each single ones.
