Literature DB >> 12034625

Reliability of MR imaging-based virtual cystoscopy in the diagnosis of cancer of the urinary bladder.

Markus Lämmle1, Ambros Beer, Marcus Settles, Christian Hannig, Hartwig Schwaibold, Carsten Drews.   

Abstract

OBJECTIVE: Our purpose was to evaluate MR imaging-based virtual endoscopy in patients with urinary bladder cancer compared with conventional cystoscopy as the gold standard. SUBJECTS AND METHODS: Twenty-five patients with urinary bladder cancer diagnosed on conventional cystoscopy underwent MR imaging of the pelvis. Patients were examined without external bladder filling or administration of IV contrast medium. No medications were administered. The data obtained by MR imaging were reconstructed for virtual endoscopy on a workstation. The locations and sizes of tumors were individually determined and compared with results of conventional cystoscopy.
RESULTS: Twenty-four patients were evaluated; one patient's examination was excluded from analysis because of metallic artifacts. Seventeen patients were diagnosed with a single bladder tumor. Five patients had two tumors each, and two patients had three tumors. Tumor diameter ranged from 0.4 to 6.4 cm. Thirty (90.9%) of 33 tumors detected on cystoscopy were visualized with virtual endoscopy. The detection rate for 23 tumors of 1 cm or greater was 100%. Difficult conditions for conventional cystoscopy, including hematuria, anterior wall involvement, and urethral strictures, had no deleterious impact on virtual cystoscopy. Difficulties in detection on virtual endoscopy were associated with flat bladder tumors with minimal surface elevation.
CONCLUSION: The results of this study suggest a high reliability in the diagnosis of urinary bladder cancer by MR imaging-based virtual cystoscopy-a noninvasive method, independent of medication or contrast enhancement, that may be of value for screening, primary diagnosis, and surveillance. Virtual MR cystoscopy may be indicated when conventional cystoscopy cannot be performed or is ineffective.

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Mesh:

Year:  2002        PMID: 12034625     DOI: 10.2214/ajr.178.6.1781483

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  15 in total

1.  An adaptive window-setting scheme for segmentation of bladder tumor surface via MR cystography.

Authors:  Chaijie Duan; Kehong Yuan; Fanghua Liu; Ping Xiao; Guoqing Lv; Zhengrong Liang
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-05-22

2.  Volume-based features for detection of bladder wall abnormal regions via MR cystography.

Authors:  Chaijie Duan; Kehong Yuan; Fanghua Liu; Ping Xiao; Guoqing Lv; Zhengrong Liang
Journal:  IEEE Trans Biomed Eng       Date:  2011-06-02       Impact factor: 4.538

3.  A unified EM approach to bladder wall segmentation with coupled level-set constraints.

Authors:  Hao Han; Lihong Li; Chaijie Duan; Hao Zhang; Yang Zhao; Zhengrong Liang
Journal:  Med Image Anal       Date:  2013-08-16       Impact factor: 8.545

4.  Characterization of texture features of bladder carcinoma and the bladder wall on MRI: initial experience.

Authors:  Zhengxing Shi; Zengyue Yang; Guopeng Zhang; Guangbin Cui; Xiaoshuang Xiong; Zhengrong Liang; Hongbing Lu
Journal:  Acad Radiol       Date:  2013-08       Impact factor: 3.173

5.  A coupled level set framework for bladder wall segmentation with application to MR cystography.

Authors:  Chaijie Duan; Zhengrong Liang; Shangliang Bao; Hongbin Zhu; Su Wang; Guangxiang Zhang; John J Chen; Hongbing Lu
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

6.  Novel contrast mixture achieves contrast resolution of human bladder wall suitable for T1 mapping: applications in interstitial cystitis and beyond.

Authors:  Pradeep Tyagi; Joseph Janicki; Chan-Hong Moon; Jonathan Kaufman; Christopher Chermansky
Journal:  Int Urol Nephrol       Date:  2018-02-01       Impact factor: 2.370

7.  MR cystography for bladder tumor detection.

Authors:  Ambros Beer; Bettina Saar; Niko Zantl; Thomas M Link; Rudolf Roggel; Su-Lin Hwang; Hartwig Schwaibold; Ernst J Rummeny
Journal:  Eur Radiol       Date:  2004-08-20       Impact factor: 5.315

8.  PET/CT and MRI in Bladder Cancer.

Authors:  Kirsten Bouchelouche; Baris Turkbey; Peter L Choyke
Journal:  J Cancer Sci Ther       Date:  2012-07-30

9.  Motion correction for MR cystography by an image processing approach.

Authors:  Qin Lin; Zhengrong Liang; Chaijie Duan; Jianhua Ma; Haifang Li; Clement Roque; Jie Yang; Guangxiang Zhang; Hongbing Lu; Xiaohai He
Journal:  IEEE Trans Biomed Eng       Date:  2013-04-12       Impact factor: 4.538

10.  Prospective evaluation of interobserver diagnostic agreement for focal urinary bladder wall abnormalities detected by ultrasound.

Authors:  G Francica; F Scarano; S A Bellini; A Miragliuolo
Journal:  J Ultrasound       Date:  2010-12-03
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