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

被引:6
作者
da Rocha, Euclides Timoteo [1 ,2 ]
Buchpiguel, Carlos Alberto [3 ]
Nitrini, Ricardo [4 ]
Tazima, Sergio [5 ]
Peres, Stela Verzinhase [6 ]
Busatto Filho, Geraldo [7 ]
机构
[1] Fundacao Pio XII, Hosp Canc, Dept Nucl Med, Barretos, SP, Brazil
[2] Sao Paulo State Univ, Ctr Blood Transfus, Sch Med, UNESP, Botucatu, SP, Brazil
[3] Hosp Coracao, Dept Nucl Med, Sao Paulo, Brazil
[4] Univ Sao Paulo, Fac Med, Dept Neurol, Sao Paulo, Brazil
[5] Hosp Alemao Oswaldo Cruz, Dept Nucl Med, Sao Paulo, Brazil
[6] Fundacao Pio XII, Hosp Canc, Res Support Grp, Barretos, SP, Brazil
[7] Univ Sao Paulo, Fac Med, Inst Psychiat, Dept Radiol,Nucl Med Div, Sao Paulo, Brazil
关键词
Brain SPECT; ECD; Statistical parametric mapping; Cerebral blood flow; Dementia; TEMPORAL-LOBE EPILEPSY; OBSESSIVE-COMPULSIVE DISORDER; EMISSION COMPUTED-TOMOGRAPHY; ALZHEIMERS-DISEASE; BRAIN SPECT; CLINICAL VALIDATION; PERFUSION SPECT; HEAD-INJURY; PET IMAGES; FDG PET;
D O I
10.1590/S1807-59322009001200003
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1145 / 1153
页数:9
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