Document Detail


Multimodality detection of metastatic melanoma.
MedLine Citation:
PMID:  3054099     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A retrospective evaluation of radionuclide liver and spleen scintigraphy (LS), ultrasonography (US), and computed tomography (CT) was performed in 88 patients who had pathologically proven cutaneous melanoma. In patients who had all three examinations (n = 24), the matrix analysis showed that CT was significantly more sensitive (0.94) in detecting intra-abdominal metastasis when compared to US (0.62, P less than 0.05) and LS (0.38, P less than 0.01). Sixty-four patients had only US and LS studies. In this group of patients US was found to be more sensitive than LS, 0.88 and 0.54 respectively (P less than 0.01). Furthermore, when CT was compared with US, CT was shown to detect metastases significantly earlier than US (P = 0.03). Overall, CT provided the most accurate means for detecting the intra-abdominal metastases of cutaneous melanoma.
Authors:
A K Kuan; F I Jackson; J Hanson
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of the Royal Society of Medicine     Volume:  81     ISSN:  0141-0768     ISO Abbreviation:  J R Soc Med     Publication Date:  1988 Oct 
Date Detail:
Created Date:  1988-12-22     Completed Date:  1988-12-22     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  7802879     Medline TA:  J R Soc Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  579-82     Citation Subset:  IM    
Affiliation:
University of Alberta, Edmonton, Canada.
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MeSH Terms
Descriptor/Qualifier:
Abdominal Neoplasms / diagnosis,  secondary*
False Negative Reactions
False Positive Reactions
Humans
Liver / radionuclide imaging
Melanoma / diagnosis,  secondary*
Retrospective Studies
Sensitivity and Specificity
Skin Neoplasms*
Spleen / radionuclide imaging
Tomography, X-Ray Computed
Ultrasonography
Comments/Corrections

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


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