| 姚楠,龙晚生.MR多参数成像定量参数值评估外周带前列腺癌侵袭性[J].中国医学影像技术,2020,36(6):903~907 |
| MR多参数成像定量参数值评估外周带前列腺癌侵袭性 |
| Estimating aggressiveness of peripheral prostate cancer with quantitative parameters of MR multi-parameter imaging |
| 投稿时间：2019-10-11 修订日期：2020-03-31 |
| DOI：10.13929/j.issn.1003-3289.2020.06.025 |
| 中文关键词: 前列腺肿瘤 肿瘤侵润 磁共振成像 |
| 英文关键词:prostatic neoplasms neoplasm invasiveness magnetic resonance imaging |
| 基金项目: |
|
| 摘要点击次数: 2290 |
| 全文下载次数: 703 |
| 中文摘要: |
| 目的 探讨以MR多参数成像定量参数值评估外周带前列腺癌侵袭性的临床价值。方法 收集行多参数MRI（mp-MRI）的外周带前列腺癌患者41例（共69份前列腺癌组织），对扫描图像进行后处理，得到多参数定量参数伪彩图，并分别测量肿瘤组织的定量参数值。依据病理ISUP分级将组织分为ISUP<3级组（27份）和ISUP ≥ 3级组（42份），对mp-MRI参数值进行组间比较，采用ROC曲线评估独立预测因子及其联合指标预测前列腺癌ISUP<3级与ISUP ≥ 3级的诊断效能。结果 ISUP<3级组ADC值大于ISUP ≥ 3级组（P<0.05），而Ktrans值小于ISUP ≥ 3级组（P<0.05）。独立预测因子及联合指标对前列腺癌ISUP<3级与ISUP ≥ 3级的诊断效能：ADC截断值为0.55 mm2/s时，敏感度0.80，特异度0.71，准确率0.74，AUC为0.81；Ktrans截断值为80.77×10-3/min时，敏感度0.85，特异度0.49，准确率0.59，AUC 0.69；联合指标的截断值为0.290 1时，敏感度0.90，特异度0.65，准确率0.75，AUC 0.81。结论 mp-MRI中的ADC值及Ktrans值可作为评估前列腺癌侵袭性的独立预测因子，二者联合诊断效能更佳。 |
| 英文摘要: |
| 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. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
