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Eur J Nucl Med Mol Imaging ; 31(11): 1456-61, 2004 Nov.
Article in English | MEDLINE | ID: mdl-15248033

ABSTRACT

PURPOSE: Most early publications on integrated positron emission tomography/computed tomography (PET/CT) devices have reported the new scanner generation to be superior to conventional PET. However, few of these studies have analysed the situation where, in addition to PET, a current CT scan is available for side-by-side viewing. This fact is important, because combined PET/CT or a software-based fusion of the two modalities may improve diagnosis only in cases where side-by-side reading of PET and CT data does not lead to a definitive diagnosis. The aim of this study was to analyse which patients will profit from integrated PET/CT in terms of lesion characterization. METHODS: A total of 328 consecutively admitted patients referred for PET in whom a current CT scan was available were included in the study. The localization of all pathological PET lesions, as well as possible infiltration of adjacent anatomical structures, was assessed. RESULTS: Of 467 pathological lesions, 94.0% were correctly assessed with respect to localization and infiltration by either conventional PET alone (51.6%) or combined reading of PET and the already existing CT scans (42.4%). Hence, in only 6.0% of all lesions, affecting 6.7% of all patients, could evaluation have profited from integrated PET/CT. CONCLUSION: We conclude that side-by-side viewing of PET and CT scans is essential, as in 42.4% of all cases, combined viewing was important for a correct diagnosis in our series. In up to 6.7% of patients, integrated PET/CT might have given additional information, so that in nearly 50% of patients some form of combined viewing of PET and CT data is needed for accurate lesion characterization.


Subject(s)
Image Enhancement/methods , Neoplasms/diagnostic imaging , Positron-Emission Tomography/methods , Subtraction Technique , Tomography, X-Ray Computed/methods , Adult , Aged , Female , Humans , Male , Middle Aged , Reproducibility of Results , Sensitivity and Specificity , Single-Blind Method , Systems Integration
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