| 64-row MDCT perfusion of head and neck squamous cell carcinoma: technical feasibility and quantitative analysis of perfusion parameters. | |
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MedLine Citation:
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PMID: 20652255 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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OBJECTIVES: To evaluate the technical feasibility of 64-row computed tomography (CT) quantitative perfusion imaging of head and neck squamous cell carcinoma (SCC). METHODS: Twenty-nine patients with a total of 29 pathologically proven SCC underwent a cine-mode CT perfusion acquisition covering the lesion site. The acquisition started 10 s after intravenous injection of iodinated contrast material and lasted 50 s. On a dedicated workstation, regions of interest (ROI) were traced within the SCC, on a healthy portion of tissue (H), and on the ipsilateral sternocleidomastoid muscle (M). Blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability-surface product (PS) were calculated. RESULTS: In SCC, BF, BV and PS were higher compared with H (p<0.0001, p=0.002 and p=0.004, respectively) and M (p<0.0001). Conversely, MTT was lower in SCC than in H (p=0.0009) and M (p=0.0003). All datasets were free from substantial motion artefacts and ROI misregistration phenomena. No substantial discomfort or adverse events were experienced by any of the patients. CONCLUSION: 64-row CT quantitative perfusion imaging allows head and neck SCC to be distinguished from normal tissues. |
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Authors:
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Lorenzo Faggioni; Emanuele Neri; Francesca Cerri; Eugenia Picano; Veronica Seccia; Luca Muscatello; Stefano Sellari Franceschini; Carlo Bartolozzi |
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Publication Detail:
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Type: Journal Article Date: 2010-07-23 |
Journal Detail:
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Title: European radiology Volume: 21 ISSN: 1432-1084 ISO Abbreviation: Eur Radiol Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2010-12-02 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9114774 Medline TA: Eur Radiol Country: Germany |
Other Details:
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Languages: eng Pagination: 113-21 Citation Subset: IM |
Affiliation:
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Diagnostic and Interventional Radiology, University of Pisa, Via Paradisa, 2 - 56100, Pisa, Italy. lfaggioni@sirm.org |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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