Document Detail


The accuracy of computed tomographic perfusion in detecting recurrent nasopharyngeal carcinoma after radiation therapy.
MedLine Citation:
PMID:  21150454     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVES: : To assess the diagnostic accuracy of computed tomographic (CT) perfusion technique in discriminating recurrent nasopharyngeal carcinoma (NPC) after radiation therapy.
METHODS: : Forty-eight patients with a pathologic finding as reference standards were divided into 2 groups, recurrent and nonrecurrent NPCs. Perfusion parameters blood flow (BF), blood volume (BV), permeability surface (PS), and mean transit time were statistically analyzed. A receiver operating characteristic curve was used to study whether CT perfusion parameters could aid in detecting recurrent NPC.
RESULTS: : Blood flow, BV, and PS values between recurrent NPC (n = 27) and nonrecurrent NPC (n = 21) were 526.8 (168.1) versus 312.1 (214.4) mL/100 g per minute, 35.1 (23.6) versus 9.2 (8.0) (ml/100 g), and 53.4 (34.3) versus 17.6 (14.7) mL/100 g per minute, respectively. There was a significant difference between these 2 groups (P < 0.01). Mean transit time values in these 2 groups were 3.5 (2.0) versus 4.3 (2.7) seconds; there was no statistical difference. To optimize sensitivity and specificity, BF, BV, and PS threshold values for differentiating between recurrent and nonrecurrent NPCs were 537.20 mL/100 g per minute, 37.18 (ml/100 g), and 57.34 mL/100 g per minute, respectively. According to threshold values of BF, BV, and PS, sensitivity and specificity for distinguishing recurrent and nonrecurrent NPCs were 92.6% and 76.2%, 96.3% and 81%, and 81.5% and 61.9%, respectively.
CONCLUSIONS: : The CT perfusion technique may be helpful to find patients with recurrent NPC after radiation therapy.
Authors:
Guanqiao Jin; Danke Su; Lidong Liu; Xuna Zhu; Dong Xie; Wei Zhao
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of computer assisted tomography     Volume:  35     ISSN:  1532-3145     ISO Abbreviation:  J Comput Assist Tomogr     Publication Date:    2011 Jan-Feb
Date Detail:
Created Date:  2011-01-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703942     Medline TA:  J Comput Assist Tomogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  26-30     Citation Subset:  IM    
Affiliation:
From the Department of Radiology, Oncology Hospital, Guangxi Medical University, Nanning, People's Republic of China.
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