Document Detail

Quantitative evaluation of sialograms.
MedLine Citation:
PMID:  1399454     Owner:  NLM     Status:  MEDLINE    
RATIONALE AND OBJECTIVES: The authors developed and evaluated a quantitative analytic method for interpreting clinical sialograms. METHODS: Images were obtained by digital subtraction sialography and transformed into binary form. The duct width of the image was calculated and represented as a normalized histogram. The effects of the volume of contrast medium injected and of the inclination angle of the objects on the histogram were examined. RESULTS: In model studies, the normalized histogram was affected insignificantly by these factors. Clinical sialograms of 18 patients with normal results, 12 patients with parotitis, and 5 patients with Sj?gren syndrome were preliminarily analyzed by the histogram method and four representative parameters of the histogram. Discriminant analysis showed a relatively high correct-predictive rate in the distinction between patients with normal and abnormal results. CONCLUSIONS: This method reduces the effect of observer variation in diagnosing sialograms, and improves diagnostic accuracy for assessing the presence of inflammatory diseases of the parotid gland.
K Yoshiura; M Ohki; K Araki; M Yamada; N Yamada
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Investigative radiology     Volume:  27     ISSN:  0020-9996     ISO Abbreviation:  Invest Radiol     Publication Date:  1992 Sep 
Date Detail:
Created Date:  1992-10-29     Completed Date:  1992-10-29     Revised Date:  2010-03-24    
Medline Journal Info:
Nlm Unique ID:  0045377     Medline TA:  Invest Radiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  707-14     Citation Subset:  IM    
Department of Oral Radiology, Nagasaki University School of Dentistry, Japan.
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MeSH Terms
Discriminant Analysis
Models, Structural
Parotid Gland / radiography
Parotitis / epidemiology,  radiography
Sialography / instrumentation,  methods*,  statistics & numerical data
Sjogren's Syndrome / epidemiology,  radiography
Subtraction Technique* / instrumentation,  statistics & numerical data

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

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