Literature DB >> 30221801

Update on multiparametric MRI of urinary bladder cancer.

Christian B van der Pol1, Andrew Chung2, Christopher Lim3, Niket Gandhi4, Wendy Tu4, Matthew D F McInnes4, Nicola Schieda4.   

Abstract

While many institutions perform MRI during the work-up of urinary bladder cancer, others use MRI rarely if at all, possibly due to a variation in the reported staging accuracy and unfamiliarity with the potential benefits of performing MRI. Through increased application of functional imaging techniques including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging, there has been a resurgence of interest regarding evaluation of bladder cancer with MRI. Several recent meta-analyses have shown that MRI is accurate at differentiating between ≤T1 and T2 disease (with pooled sensitivity/specificity of ∼90/80%) and differentiating between T2 and ≥T3 disease. DWI and DCE, in combination with high-resolution T2 -weighted images, improves detection and possibly local staging accuracy of bladder cancer. High b value echo-planar DWI is particularly valuable for tumor detection. Zoomed field of view and segmented readout DWI techniques improve image quality by reducing susceptibility artifact, while methods to extract calculated high b value images save time and improve the contrast-to-noise ratio. DCE traditionally required imaging of the pelvis with high temporal but lower spatial resolution; however, advances in parallel and keyhole imaging techniques can preserve spatial resolution. The use of compressed sensing reconstruction may improve utilization of DCE of the bladder, especially when imaging the abdomen simultaneously, as in MR urography. Quantitative imaging analysis of bladder cancer using pharmacokinetic modeling of DCE, apparent diffusion coefficient values, and texture analysis may enable radiomic assessment of bladder cancer grade and stage. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:882-896.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  cancer; magnetic resonance imaging MRI; multiparametric; radiomic; staging; urinary bladder

Mesh:

Substances:

Year:  2018        PMID: 30221801     DOI: 10.1002/jmri.26294

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  16 in total

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2.  Comparison of the diagnostic accuracy and validity of biparametric MRI and multiparametric MRI-based VI-RADS scoring in bladder cancer; is contrast material really necessary in detecting muscle invasion?

Authors:  Serdar Aslan; Ismet Mirac Cakir; Ural Oguz; Tumay Bekci; Erhan Demirelli
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3.  Combined T2 SPAIR, Dynamic Enhancement and DW Imaging Reliably Detect T Staging and Grading of Bladder Cancer With 3.0T MRI.

Authors:  Lihua Yuan; Danyan Li; Dan Mu; Xuebin Zhang; Weidong Kong; Le Cheng; Xin Shu; Bing Zhang; Zhishun Wang
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Review 4.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

Review 5.  Refining neoadjuvant therapy clinical trial design for muscle-invasive bladder cancer before cystectomy: a joint US Food and Drug Administration and Bladder Cancer Advocacy Network workshop.

Authors:  Chana Weinstock; Matthew D Galsky; Elaine Chang; Andrea B Apolo; Rick Bangs; Stephanie Chisolm; Vinay Duddalwar; Jason A Efstathiou; Kirsten B Goldberg; Donna E Hansel; Ashish M Kamat; Paul G Kluetz; Seth P Lerner; Elizabeth Plimack; Tatiana Prowell; Harpreet Singh; Daniel Suzman; Evan Y Yu; Hui Zhang; Julia A Beaver; Richard Pazdur
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6.  Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer.

Authors:  Shenghua Liu; Feijia Xu; Tianyuan Xu; Yang Yan; Xudong Yao; Guangyu Tang
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7.  Diagnostic Accuracy of Multi-Parametric Magnetic Resonance Imaging for Tumor Staging of Bladder Cancer: Meta-Analysis.

Authors:  Nieke Zhang; Xiaoyan Wang; Chunying Wang; Shuqiu Chen; Jianping Wu; Guangyuan Zhang; Weidong Zhu; Jing Liu; Bin Xu; Mulong Du; Ming Chen
Journal:  Front Oncol       Date:  2019-10-04       Impact factor: 6.244

Review 8.  Nanotechnology in Bladder Cancer: Diagnosis and Treatment.

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9.  Combining Multiparametric MRI Radiomics Signature With the Vesical Imaging-Reporting and Data System (VI-RADS) Score to Preoperatively Differentiate Muscle Invasion of Bladder Cancer.

Authors:  Zongtai Zheng; Feijia Xu; Zhuoran Gu; Yang Yan; Tianyuan Xu; Shenghua Liu; Xudong Yao
Journal:  Front Oncol       Date:  2021-05-13       Impact factor: 6.244

Review 10.  Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer.

Authors:  Xiaopan Xu; Huanjun Wang; Yan Guo; Xi Zhang; Baojuan Li; Peng Du; Yang Liu; Hongbing Lu
Journal:  Front Oncol       Date:  2021-07-15       Impact factor: 6.244

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