Document Detail

Diagnosis of regional cerebral blood flow abnormalities using spect: agreement between individualized statistical parametric maps and visual inspection by nuclear medicine physicians with different levels of expertise in nuclear neurology.
MedLine Citation:
PMID:  20037701     Owner:  NLM     Status:  MEDLINE    
INTRODUCTION: Visual analysis is widely used to interpret regional cerebral blood flow (rCBF) SPECT images in clinical practice despite its limitations. Automated methods are employed to investigate between-group rCBF differences in research studies but have rarely been explored in individual analyses.
OBJECTIVES: To compare visual inspection by nuclear physicians with the automated statistical parametric mapping program using a SPECT dataset of patients with neurological disorders and normal control images.
METHODS: Using statistical parametric mapping, 14 SPECT images from patients with various neurological disorders were compared individually with a databank of 32 normal images using a statistical threshold of p<0.05 (corrected for multiple comparisons at the level of individual voxels or clusters). Statistical parametric mapping results were compared with visual analyses by a nuclear physician highly experienced in neurology (A) as well as a nuclear physician with a general background of experience (B) who independently classified images as normal or altered, and determined the location of changes and the severity.
RESULTS: Of the 32 images of the normal databank, 4 generated maps showing rCBF abnormalities (p<0.05, corrected). Among the 14 images from patients with neurological disorders, 13 showed rCBF alterations. Statistical parametric mapping and physician A completely agreed on 84.37% and 64.28% of cases from the normal databank and neurological disorders, respectively. The agreement between statistical parametric mapping and ratings of physician B were lower (71.18% and 35.71%, respectively).
CONCLUSION: Statistical parametric mapping replicated the findings described by the more experienced nuclear physician. This finding suggests that automated methods for individually analyzing rCBF SPECT images may be a valuable resource to complement visual inspection in clinical practice.
Euclides Timóteo da Rocha; Carlos Alberto Buchpiguel; Ricardo Nitrini; Sergio Tazima; Stela Verzinhase Peres; Geraldo Busatto Filho
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Clinics (São Paulo, Brazil)     Volume:  64     ISSN:  1980-5322     ISO Abbreviation:  Clinics (Sao Paulo)     Publication Date:  2009  
Date Detail:
Created Date:  2009-12-28     Completed Date:  2010-07-23     Revised Date:  2013-05-31    
Medline Journal Info:
Nlm Unique ID:  101244734     Medline TA:  Clinics (Sao Paulo)     Country:  Brazil    
Other Details:
Languages:  eng     Pagination:  1145-53     Citation Subset:  IM    
Department of Nuclear Medicine, Hospital de Câncer, Fundação Pio XII - Barretos/SP, Brazil.
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MeSH Terms
Aged, 80 and over
Brain / blood supply,  radionuclide imaging*
Brain Diseases / physiopathology,  radionuclide imaging*
Brain Mapping / methods*
Case-Control Studies
Cerebrovascular Circulation*
Educational Status
Middle Aged
Nuclear Medicine / standards*
Observer Variation
Pattern Recognition, Automated / methods
Reproducibility of Results
Tomography, Emission-Computed, Single-Photon

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

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