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基于膀胱影像报告和数据系统(VI-RADS)的多参数 MRI 鉴别肌层浸润性和非肌层浸润性膀胱癌。

Multiparametric MRI in differentiation between muscle invasive and non-muscle invasive urinary bladder cancer with vesical imaging reporting and data system (VI-RADS) application.

机构信息

Lecturer of radio diagnosis, Radio diagnosis department, Faculty of Medicine, Assiut University, Assiut, Egypt.

Urology Department, Faculty of Medicine, Assiut University, Assiut, Egypt.

出版信息

Br J Radiol. 2019 Dec;92(1104):20190401. doi: 10.1259/bjr.20190401. Epub 2019 Oct 8.

Abstract

OBJECTIVE

To evaluate role of multiparametric MRI (mp-MRI) in differentiation between invasive and non-invasive bladder cancer and accuracy of vesical imaging reporting and data system (VI-RADS) score.

METHODS AND MATERIALS

50 patients diagnosed as cancer bladder were enrolled in this study, mp-MRI including conventional ( weighted imaging and high resolution weighted imaging) and functional sequences (diffusion-weighted imaging and dynamic contrast enhanced-MRI) were done, all data were regrouped to evaluate the accuracy of each separate sequence and mp-MRI in distinguishing non-muscle invasive from muscle-invasive tumors, with VI-RADS score application and comparison with pathological findings, then interobserver agreement for detection of muscle invasion according to mp-MRI and VI-RADS scoring system findings was calculated.

RESULTS

Diagnostic accuracy of mp-MRI in differentiation between muscle invasive and non-muscle invasive bladder cancer was (84%) with highest sensitivity (78%), very good agreement between mp-MRI and histopathological data ( = 0.87), and highest area under curve (AUC) reaching 0.83, dynamic contrast enhanced-MRI sequence showed the highest accuracy in muscle invasion detection by (88%), with highest AUC 0.83. Diagnostic accuracy of VI-RADS score in detection of muscle invasion was 84%, with specificity and negative predictive value of 88% and AUC was 0.83. Interobserver agreement was strong as regard diagnostic performance of mp-MRI and VI-RADS scoring for detection of muscle invasion reaching ( = 0.82, < 0.001) and ( = 0.87, < 0.001) respectively.

CONCLUSION

mp-MRI is considered as comprehensive and effective tool for determination of muscle invasion in cases of urinary bladder cancer. Also VI-RADS scoring system can accurately differentiate between invasive and non-invasive bladder cancer.

ADVANCES IN KNOWLEDGE

The VI-RADS system was recently suggested for the uniform evaluation of muscle invasion in cancer bladder by mp-MRI. In this paper, we applied this system to 50 cases to evaluate its ease and compared the results with the histopathological findings for evaluation of its accuracy.

摘要

目的

评估多参数 MRI(mp-MRI)在鉴别浸润性和非浸润性膀胱癌中的作用,以及膀胱影像报告和数据系统(VI-RADS)评分的准确性。

方法和材料

本研究纳入了 50 例被诊断为膀胱癌的患者,进行了 mp-MRI 检查,包括常规(加权成像和高分辨率加权成像)和功能序列(扩散加权成像和动态对比增强 MRI)。所有数据均进行分组,以评估每个单独序列和 mp-MRI 在鉴别非肌层浸润性和肌层浸润性肿瘤方面的准确性,同时应用 VI-RADS 评分并与病理结果进行比较,然后计算 mp-MRI 和 VI-RADS 评分系统对肌层浸润检测的观察者间一致性。

结果

mp-MRI 鉴别肌层浸润性和非肌层浸润性膀胱癌的诊断准确性为(84%),敏感性最高(78%),mp-MRI 与组织病理学数据之间具有很好的一致性( = 0.87),曲线下面积(AUC)最高可达 0.83。动态对比增强 MRI 序列在肌层浸润检测中的准确性最高(88%),AUC 最高为 0.83。VI-RADS 评分检测肌层浸润的诊断准确性为 84%,特异性和阴性预测值分别为 88%和 AUC 为 0.83。mp-MRI 和 VI-RADS 评分系统对肌层浸润检测的诊断性能具有很强的观察者间一致性,分别为( = 0.82,<0.001)和( = 0.87,<0.001)。

结论

mp-MRI 被认为是确定膀胱癌肌层浸润的综合有效工具。此外,VI-RADS 评分系统可以准确地区分浸润性和非浸润性膀胱癌。

知识进展

最近,VI-RADS 系统被提议用于 mp-MRI 对膀胱癌肌层浸润的统一评估。在本文中,我们将该系统应用于 50 例病例,以评估其易用性,并将结果与组织病理学发现进行比较,以评估其准确性。

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本文引用的文献

1
2
Diagnostic performance of MRI for prediction of muscle-invasiveness of bladder cancer: A systematic review and meta-analysis.
Eur J Radiol. 2017 Oct;95:46-55. doi: 10.1016/j.ejrad.2017.07.021. Epub 2017 Jul 29.
3
Improving Staging in Bladder Cancer: The Increasing Role of Multiparametric Magnetic Resonance Imaging.
Eur Urol Focus. 2016 Jun;2(2):113-121. doi: 10.1016/j.euf.2016.04.010. Epub 2016 May 11.
4
Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends.
Eur Urol. 2017 Jan;71(1):96-108. doi: 10.1016/j.eururo.2016.06.010. Epub 2016 Jun 28.
6
Multiparametric MRI of the bladder: ready for clinical routine?
AJR Am J Roentgenol. 2014 Jun;202(6):1187-95. doi: 10.2214/AJR.13.12294.
7
MR imaging of urinary bladder cancer for T-staging: a review and a pictorial essay of diffusion-weighted imaging.
J Magn Reson Imaging. 2013 Dec;38(6):1299-309. doi: 10.1002/jmri.24227. Epub 2013 Nov 21.
8
Epidemiology and risk factors of urothelial bladder cancer.
Eur Urol. 2013 Feb;63(2):234-41. doi: 10.1016/j.eururo.2012.07.033. Epub 2012 Jul 25.
9
Urinary bladder cancer: role of MR imaging.
Radiographics. 2012 Mar-Apr;32(2):371-87. doi: 10.1148/rg.322115125.

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