Document Detail


Software-based fusion of PET and CT images for suspected recurrent lung cancer.
MedLine Citation:
PMID:  18293042     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: The purpose of this study was to compare the diagnostic performance of the manual fusion of positron emission tomography (PET) and computed tomography (CT) images with that of CT alone and that of side-by-side PET and CT (PET/CT) in patients with suspected recurrent lung cancer. PROCEDURES: Fifty-three patients who had previously had surgery for lung cancer underwent a whole-body 2-deoxy-2-[F-18]fluoro-D-glucose (FDG)-PET scan, followed by a diagnostic CT scan. The PET and CT images were fused on a workstation. CT alone, PET/CT, and fused images were evaluated separately using a five-point grading scale (0=definitely negative, 1=probably negative, 2=equivocal, 3=probably positive, and 4=definitely positive). Lesions of grade 3 or 4 were considered positive, and diagnostic accuracy and certainty were evaluated. RESULTS: Overall, 67 lesions in 33 patients were considered true positive pathologically or clinically. Of these 67 lesions, the evaluation of CT, PET/CT, and fused images detected 46, 55, and 66 lesions, respectively, with the number of grade 4 lesions detected being 38, 50, and 63, respectively. The diagnostic accuracy of CT, PET/CT, and fused images according to patients was 75%, 79%, and 87%, respectively. CONCLUSION: These results suggest that interpreting fused images increased diagnostic certainty for detecting recurrence and provided more accurate diagnoses.
Authors:
Yuji Nakamoto; Michio Senda; Tomohisa Okada; Setsu Sakamoto; Tsuneo Saga; Tatsuya Higashi; Kaori Togashi
Publication Detail:
Type:  Journal Article     Date:  2008-02-22
Journal Detail:
Title:  Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging     Volume:  10     ISSN:  1536-1632     ISO Abbreviation:  Mol Imaging Biol     Publication Date:    2008 May-Jun
Date Detail:
Created Date:  2008-05-07     Completed Date:  2008-09-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101125610     Medline TA:  Mol Imaging Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  147-53     Citation Subset:  IM    
Affiliation:
Department of Diagnostic Radiology, Kyoto University Hospital, Kyoto, Japan. ynakamo1@kuhp.kyoto-u.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Female
Humans
Lung Neoplasms / diagnosis*
Male
Middle Aged
Neoplasm Recurrence, Local / diagnosis*
Positron-Emission Tomography / methods*
Sensitivity and Specificity
Software*
Tomography, X-Ray Computed / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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