• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

计算扩散加权 MRI 对预测前列腺癌侵袭性的应用价值。

Utility of computed diffusion-weighted MRI for predicting aggressiveness of prostate cancer.

机构信息

Urology, Tokyo Medical and Dental University Graduate School, Tokyo, Japan.

Biomedical Engineering, Tokai University School of Engineering, Kanagawa, Japan.

出版信息

J Magn Reson Imaging. 2017 Aug;46(2):490-496. doi: 10.1002/jmri.25593. Epub 2017 Feb 2.

DOI:10.1002/jmri.25593
PMID:28152258
Abstract

PURPOSE

To investigate the value of computed (c) diffusion-weighted imaging (DWI) in assessing prostate cancer aggressiveness.

MATERIALS AND METHODS

Fifty-five patients with peripheral zone prostate cancer who underwent prebiopsy 1.5T magnetic resonance imaging (including native DWI at b-values of 0 and 1000 s/mm ) were included. cDWI signal intensities of peripheral zone prostate cancer and nonmalignant prostate tissue were measured. Association between changes in monoexponentially calculated cDWI signals according to different b-values and primary Gleason grades were assessed.

RESULTS

The cDWI signal intensity of prostate cancer was lower at b = 0 s/mm and higher at b = 1000 s/mm compared to nonmalignant prostate tissue. The b-value at which the signal intensities of prostate cancer and nonmalignant prostate tissue were equal was defined as the "iso-b-value." On multivariate analysis, only the iso-b-value was a significant predictor of primary Gleason grade 4/5 cancer (P = 0.001). The area under the curve (AUC) of the iso-b-value for diagnosing primary Gleason grade 4/5 cancer was 0.94, and significantly higher than that of the tumor apparent diffusion coefficient (ADC) value with an AUC of 0.68 (P < 0.001).

CONCLUSION

cDWI with iso-b-value-based semiquantitative analysis was found to be useful for predicting the aggressiveness of prostate cancer and may potentially outperform tumor ADC measurements in this setting.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:490-496.

摘要

目的

探究计算扩散加权成像(cDWI)在评估前列腺癌侵袭性方面的价值。

材料与方法

本研究共纳入 55 例经穿刺活检证实的外周带前列腺癌患者,所有患者均在术前 1.5T 磁共振成像检查(包括 b 值为 0 和 1000 s/mm 的弥散加权成像)。测量外周带前列腺癌和正常前列腺组织的 cDWI 信号强度。评估不同 b 值下单指数计算的 cDWI 信号变化与原发性 Gleason 分级之间的关系。

结果

与正常前列腺组织相比,前列腺癌在 b 值为 0 s/mm 时的 cDWI 信号强度较低,在 b 值为 1000 s/mm 时的信号强度较高。将前列腺癌和正常前列腺组织的信号强度相等时的 b 值定义为“等 b 值”。多变量分析显示,只有等 b 值是预测原发性 Gleason 分级 4/5 肿瘤的独立预测因子(P=0.001)。等 b 值诊断原发性 Gleason 分级 4/5 肿瘤的曲线下面积(AUC)为 0.94,明显高于肿瘤表观扩散系数(ADC)值的 AUC(0.68,P<0.001)。

结论

基于等 b 值的半定量 cDWI 分析有助于预测前列腺癌的侵袭性,在这种情况下,其可能优于肿瘤 ADC 值的测量。

证据水平

3 级 技术效果:2 级 J. MAGN. RESON. IMAGING 2017;46:490-496

相似文献

1
Utility of computed diffusion-weighted MRI for predicting aggressiveness of prostate cancer.计算扩散加权 MRI 对预测前列腺癌侵袭性的应用价值。
J Magn Reson Imaging. 2017 Aug;46(2):490-496. doi: 10.1002/jmri.25593. Epub 2017 Feb 2.
2
Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.扩散峰度成像与标准扩散成像在周围区前列腺癌检测及分级中的评估
Invest Radiol. 2015 Aug;50(8):483-9. doi: 10.1097/RLI.0000000000000155.
3
Quantitative evaluation of computed high B value diffusion-weighted magnetic resonance imaging of the prostate.前列腺计算机高B值扩散加权磁共振成像的定量评估
Invest Radiol. 2013 Nov;48(11):779-86. doi: 10.1097/RLI.0b013e31829705bb.
4
Assessment of aggressiveness of prostate cancer: correlation of apparent diffusion coefficient with histologic grade after radical prostatectomy.前列腺癌侵袭性评估:根治性前列腺切除术后表观扩散系数与组织学分级的相关性。
AJR Am J Roentgenol. 2011 Feb;196(2):374-81. doi: 10.2214/AJR.10.4441.
5
Risk Stratification of Prostate Cancer Using the Combination of Histogram Analysis of Apparent Diffusion Coefficient Across Tumor Diffusion Volume and Clinical Information: A Pilot Study.基于肿瘤表观弥散系数体积直方图分析联合临床信息对前列腺癌进行风险分层:一项初步研究。
J Magn Reson Imaging. 2019 Feb;49(2):556-564. doi: 10.1002/jmri.26235. Epub 2018 Sep 2.
6
Evaluation of Exponential ADC (eADC) and Computed DWI (cDWI) for the Detection of Prostate Cancer.评估指数型扩散加权成像(eADC)和计算扩散加权成像(cDWI)在前列腺癌检测中的应用。
Rofo. 2018 Aug;190(8):758-766. doi: 10.1055/a-0637-9980. Epub 2018 Jul 25.
7
Quantified analysis of histological components and architectural patterns of gleason grades in apparent diffusion coefficient restricted areas upon diffusion weighted MRI for peripheral or transition zone cancer locations.对周围或移行区癌灶弥散加权 MRI 受限区域内 Gleason 分级的组织学成分和结构模式进行定量分析。
J Magn Reson Imaging. 2017 Dec;46(6):1786-1796. doi: 10.1002/jmri.25716. Epub 2017 Apr 6.
8
Histogram analysis of stretched-exponential and monoexponential diffusion-weighted imaging models for distinguishing low and intermediate/high gleason scores in prostate carcinoma.基于拉伸指数和单指数扩散加权成像模型的直方图分析在鉴别前列腺癌低级别和中高级别 Gleason 评分中的应用。
J Magn Reson Imaging. 2018 Aug;48(2):491-498. doi: 10.1002/jmri.25958. Epub 2018 Feb 7.
9
T2* relaxation time in the detection and assessment of aggressiveness of peripheral zone cancer in comparison with diffusion-weighted imaging.与扩散加权成像相比,T2*弛豫时间在外周带癌侵袭性检测和评估中的应用
Clin Radiol. 2016 Apr;71(4):356-62. doi: 10.1016/j.crad.2015.12.012. Epub 2016 Jan 25.
10
Preoperative Evaluation of Prostate Cancer Aggressiveness: Using ADC and ADC Ratio in Determining Gleason Score.前列腺癌侵袭性的术前评估:利用表观扩散系数(ADC)及ADC比值确定 Gleason评分
AJR Am J Roentgenol. 2016 Jul;207(1):114-20. doi: 10.2214/AJR.15.15894. Epub 2016 Apr 14.

引用本文的文献

1
Quantitative Multi-Parameter MRI Evaluation of Hashimoto's Thyroiditis Changes After Dietary Interventions.饮食干预后桥本甲状腺炎变化的定量多参数磁共振成像评估
Med Sci Monit. 2025 Jul 10;31:e947862. doi: 10.12659/MSM.947862.
2
Nomogram Models for Distinguishing Intraductal Carcinoma of the Prostate From Prostatic Acinar Adenocarcinoma Based on Multiparametric Magnetic Resonance Imaging.基于多参数磁共振成像的前列腺导管内癌与前列腺腺癌鉴别列线图模型。
Korean J Radiol. 2023 Jul;24(7):668-680. doi: 10.3348/kjr.2022.1022.
3
Apparent diffusion coefficient values effectively predict cell proliferation and determine oligodendroglioma grade.
表观扩散系数值可有效预测细胞增殖,并确定少突胶质细胞瘤的分级。
Neurosurg Rev. 2023 Apr 6;46(1):83. doi: 10.1007/s10143-023-01989-3.
4
Histogram-based analysis of diffusion-weighted imaging for predicting aggressiveness in papillary thyroid carcinoma.基于直方图分析的弥散加权成像在预测甲状腺乳头状癌侵袭性中的应用。
BMC Med Imaging. 2022 Nov 2;22(1):188. doi: 10.1186/s12880-022-00920-4.
5
Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings.在不同 MRI 采集设置下,表观扩散系数值和比值对预测前列腺癌侵袭性的性能。
Diagn Interv Radiol. 2022 Jan;28(1):12-20. doi: 10.5152/dir.2022.20732.
6
Why Is a b-value Range of 1500-2000 s/mm² Optimal for Evaluating Prostatic Index Lesions on Synthetic Diffusion-Weighted Imaging?为什么1500 - 2000 s/mm²的b值范围最适合在合成扩散加权成像上评估前列腺指数病变?
Korean J Radiol. 2021 Jun;22(6):922-930. doi: 10.3348/kjr.2020.0836. Epub 2021 Feb 9.
7
Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging.应用计算扩散加权成像提高中耳胆脂瘤的可视化程度。
Magn Reson Med Sci. 2019 Jul 16;18(3):233-237. doi: 10.2463/mrms.tn.2018-0068. Epub 2018 Dec 6.
8
Efficacy of apparent diffusion coefficient in predicting aggressive histological features of papillary thyroid carcinoma.表观扩散系数在预测甲状腺乳头状癌侵袭性组织学特征中的效能
Diagn Interv Radiol. 2018 Nov;24(6):348-356. doi: 10.5152/dir.2018.18130.
9
Computed Diffusion-Weighted Imaging in Prostate Cancer: Basics, Advantages, Cautions, and Future Prospects.前列腺癌的计算扩散加权成像:基础、优势、注意事项和未来展望。
Korean J Radiol. 2018 Sep-Oct;19(5):832-837. doi: 10.3348/kjr.2018.19.5.832. Epub 2018 Aug 6.
10
Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.MRI上的影像组学特征可对接受主动监测的前列腺癌患者进行风险分类:初步研究结果。
J Magn Reson Imaging. 2018 Feb 22. doi: 10.1002/jmri.25983.