| Quantitative assessment of perirectal tumor infiltration with dynamic contrast-enhanced multi-detector row CT in rectal cancer. | |
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MedLine Citation:
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PMID: 20674203 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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OBJECTIVE: To evaluate the efficacy of discriminant function analysis of perirectal tumor infiltration with dynamic contrast-enhanced 64-detector row CT in rectal cancer. MATERIALS AND METHODS: Forty-nine patients with rectal cancer underwent dynamic contrast-enhanced CT. A total of 96 axial CT slices containing the tumors were evaluated. The 96 images were separated into two groups with or without perirectal tumor infiltration based on pathological findings. The discriminant function was set-up using CT density differences between the mass and the adjacent perirectal tissue within 5mm from the mass at 20 and 40s as independent variables. The results of the discriminant function analysis were compared to those of CT morphology and pathology. RESULTS: CT morphological diagnosis was accurate on 71.9% (69/96) of the slices with 82.5% sensitivity and 64.3% specificity. Discriminant function analysis correctly identified 88.5% (85/96) of the slices with 85.0% sensitivity and 91.1% specificity. Overstaging occurred significantly more (P<0.05) on morphological analysis (20.8%, 20/96) than discriminant function analysis (5.2%, 5/96) of the CT slices. CONCLUSIONS: Discriminant function analysis of dynamic contrast-enhanced CT improves the diagnostic accuracy and specificity of perirectal tumor infiltration in rectal cancer. |
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Authors:
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Can-Hui Sun; Shi-Ting Feng; Ping Xiao; Zhen-Peng Peng; Margaret H Pui; Xue-Hua Li; Zi-Ping Li; Quan-Fei Meng |
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Publication Detail:
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Type: Journal Article Date: 2010-07-31 |
Journal Detail:
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Title: European journal of radiology Volume: 80 ISSN: 1872-7727 ISO Abbreviation: Eur J Radiol Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-10-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8106411 Medline TA: Eur J Radiol Country: Ireland |
Other Details:
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Languages: eng Pagination: 279-83 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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