The Detection of Cerebral Microbleeds by Susceptibility Weighted Imaging and the Relationship between Cerebral Microbleeds and Cognitive Function
Notice bibliographique
Résumé
Objective To investigate the detection of cerebral microbleeds(CMBs) by susceptibility weighted imaging(SWI),and influence of CMBs on cognitive function. Methods 50 patients who were actually diagnosed with CMBs by SWI in inpatient and outpatient departments of neurology,Shaoxing People's Hospital from January 2012 to August 2013,were selected as CMBs group,during the same period,while 44 sex-,age- and education level- matched physical examination people who were not found to have CMBs by SWI,were selected as control group,their cognitive function was evaluated by MoCA rating scale,MoCA score were compared between the two groups and the cognitive dysfunction caused by CMBs of different regions and different degrees. Results SWI imaging features of CMBs were sharply marginated small round low signal images in brain parenchyma. The total MoCA scores,visuospatial skills and execution function scores,nomenclature scores,attention scores,language scores,abstracting scores,memory scores and directive force scores in CMBs group were significantly lower than those in control group(P 0. 05). The total MoCA scores,visuospatial skills and execution function scores,abstracting scores and memory scores in mild CMBs group,moderate CMBs group and severe CMBs group were significantly lower than those in control group; Nomenclature scores,attention scores and language scores in moderate CMBs group and severe CMBs group were significantly lower than those in control group(P 0. 05). The total MoCA scores,attention scores,abstracting scores and memory scores in moderate CMBs group and severe CMBs group were significantly lower than those in mild CMBs group;Visuospatial skills and execution function scores and language scores in severe CMBs group were significantly lower than those in mild CMBs group(P 0. 05). The total MoCA scores,visuospatial skills and execution function scores,attention scores,lan-guage scores and memory scores in severe CMBs group were significantly lower than those in moderate CMBs group(P 0. 05).According to Spearman correlation analysis results,the CMBs number was negatively correlated with total MoCA scores,visuospatial skills and execution function scores,attention scores,language scores,abstracting scores and memory scores(P 0. 05); Cortico- subcortical CMBs was negatively correlated with total MoCA scores,visuospatial skills and execution function scores,attention scores,language scores and memory scores(P 0. 05); Basal ganglia and thalamus CMBs was negatively correlated with total MoCA scores and language scores(P 0. 05); Brainstem and subtentorial CMBs was negatively correlated with total MoCA scores and visuospatial skills and execution function scores(P 0. 05). Conclusion SWI can clearly display CMBs,CMBs can cause cognitive dysfunction,and the characteristics of cognitive dysfunction varies by the region and degree of CMBs.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».