| Tumor detection and serosal invasion of bladder cancer: role of three-dimensional volumetric reconstructed US. | |
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MedLine Citation:
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PMID: 19444499 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Accurate evaluation of local extent in bladder cancer is important to determine the optimal therapeutic strategy and to predict the outcome of treatment. The purpose of this study is to evaluate the accuracy of 3D volumetric reconstructed US in the assessment of tumor detection and serosal invasion in patients with bladder cancer. METHODS: A total of 14 patients with findings of bladder cancer determined with the use of cystoscopy was examined with the use of bladder two-dimensional (2D) US and subsequent 3D US. US findings were compared with cystoscopy findings and the pathological stage after a TURB or a radical cystectomy in a double-blinded manner. RESULTS: The sensitivity of preoperative tumor staging was 67.9% for 2D US and sensitivity was 78.6% for 3D US. 3D US was superior sensitivity than 2D US (P < 0.05). The accuracy for serosal invasion in staging of bladder cancer was demonstrated for 88.9% in 2D US and for 100% in 3D US. CONCLUSIONS: The accuracy for serosal invasion (T3b) in the staging of bladder cancer was demonstrated for 88.9% in 2D US and for 100% in 3D US. 3D volumetric reconstructed US is a non-invasive and accurate technique for tumor detection of bladder cancer. |
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Authors:
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Hyun Jeong Park; Seong Sook Hong; Jung Hoon Kim; Seok Beom Kwon; Kui Hyang Kwon; Deuk Lin Choi; Sung Tae Park; Yun Woo Chang; Jung Hwa Hwang |
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Publication Detail:
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Type: Journal Article Date: 2009-05-15 |
Journal Detail:
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Title: Abdominal imaging Volume: 35 ISSN: 1432-0509 ISO Abbreviation: Abdom Imaging Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-06-16 Completed Date: 2010-09-23 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9303672 Medline TA: Abdom Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 265-70 Citation Subset: IM |
Affiliation:
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Department of Radiology, Soonchunhyang University Hospital, Seoul, Korea. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Female Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Male Middle Aged Neoplasm Invasiveness Neoplasm Staging / methods Sensitivity and Specificity Serous Membrane / pathology* Urinary Bladder Neoplasms / pathology*, ultrasonography* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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