Literature DB >> 10619941

A new staging criterion for bladder carcinoma using gadolinium-enhanced magnetic resonance imaging with an endorectal surface coil: a comparison with ultrasonography.

N Hayashi1, H Tochigi, T Shiraishi, K Takeda, J Kawamura.   

Abstract

OBJECTIVE: To evaluate the accuracy of a new staging criterion, submucosal linear enhancement (SLE) on gadolinium-diethylenetriamine-pentaacetic acid-enhanced T1-weighted magnetic resonance imaging (MRI) using an endorectal surface coil (endorectal enhanced MRI), and to compare the accuracy of this method with that of transurethral ultrasonography (TUUS). PATIENTS AND METHODS: The study included 71 patients with bladder tumours (63 men and eight women, mean age 65.5 years, range 31-85). The SLE coincided with abundant submucosal vascular beds, as reported in a previous study. When the SLE beneath the tumour maintained continuity, the tumour was diagnosed as superficial (</= T1), but if the SLE was interrupted by the tumour, the disease was considered invasive (>/= T2a). Superficial muscle invasion (less than half the muscle layer) and deep muscle invasion (more than half the muscle layer) were classified as T2a and T2b, respectively. When the tumour formed an extravesical mass, the tumour was classified as T3b.
RESULTS: The staging accuracy for bladder tumours using SLE on endorectal-enhanced MRI or TUUS was 83% and 60%, respectively (P < 0.01). Using the SLE, muscle invasion of bladder tumour was diagnosed with an accuracy of 87%, a sensitivity of 91% and a specificity of 87%; this was significantly better than with TUUS (P < 0.01).
CONCLUSION: The criterion of SLE on Gd-DTPA enhanced T1-weighted MRI using an endorectal surface coil is useful for staging bladder tumour, and the staging accuracy is significantly better than with TUUS.

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Year:  2000        PMID: 10619941     DOI: 10.1046/j.1464-410x.2000.00358.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  11 in total

1.  An evaluation of morphological and functional multi-parametric MRI sequences in classifying non-muscle and muscle invasive bladder cancer.

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Journal:  Eur Radiol       Date:  2017-02-08       Impact factor: 5.315

2.  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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3.  Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.

Authors:  Sungmin Woo; Valeria Panebianco; Yoshifumi Narumi; Francesco Del Giudice; Valdair F Muglia; Mitsuru Takeuchi; Soleen Ghafoor; Bernard H Bochner; Alvin C Goh; Hedvig Hricak; James W F Catto; Hebert Alberto Vargas
Journal:  Eur Urol Oncol       Date:  2020-03-19

Review 4.  Staging of bladder cancer with multiparametric MRI.

Authors:  Hiroshi Juri; Yoshifumi Narumi; Valeria Panebianco; Keigo Osuga
Journal:  Br J Radiol       Date:  2020-06-09       Impact factor: 3.039

Review 5.  Diffusion-weighted magnetic resonance imaging in management of bladder cancer, particularly with multimodal bladder-sparing strategy.

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Review 6.  Role of magnetic resonance imaging in tumor staging and follow-up for bladder cancer.

Authors:  Ki Choon Sim; Deuk Jae Sung
Journal:  Transl Androl Urol       Date:  2020-12

7.  T1-Staging for Urinary Bladder Cancer with the Stalk and Inchworm Signs with 3.0 Tesla MRI.

Authors:  Da-Hoon Kim; Byung Chul Kang; Jin Chung
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2020-09-28

Review 8.  Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System).

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Journal:  Eur Urol       Date:  2018-05-10       Impact factor: 20.096

Review 9.  Imaging of Bladder Cancer: Standard Applications and Future Trends.

Authors:  Rasha Taha Abouelkheir; Abdalla Abdelhamid; Mohamed Abou El-Ghar; Tarek El-Diasty
Journal:  Medicina (Kaunas)       Date:  2021-03-01       Impact factor: 2.430

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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