痴呆患者脑萎缩的视觉评定量表:可靠性和诊断准确性的系统评价。

IF 4.1 3区 医学 Q2 NEUROSCIENCES
Chiara Fornari, Giorgio G Fumagalli
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引用次数: 0

摘要

脑萎缩视觉评定量表可以量化脑区域萎缩,可作为神经退行性疾病的诊断标志。本文旨在回顾痴呆症的视觉评定量表,重点关注其可靠性,与体积成像测量的相关性,以及它们的预测准确性。按照PRISMA指南,我们系统地检索了Pubmed、Web of Science、Scopus和MEDLINE数据库,直到2024年11月4日。在提取的441篇文章中,我们纳入了28篇。所有的量表都达到了公平到优秀的等级之间和等级内部的一致。此外,在每个量表的评分和脑容量测量之间发现负相关。最后,根据规模和群体比较,辨别能力表现出变异性。萎缩的视觉评定量表提供了区分生理性衰老和病理性衰老以及神经退行性形式的可靠方法。为了准确的鉴别诊断,必须采用具有最高诊断精度的量表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual rating scales of brain atrophy in dementia: a systematic review of reliability and diagnostic accuracy.

Visual rating scales of brain atrophy allow to quantify brain regional atrophy and could be used as a diagnostic marker for differentiating neurodegenerative diseases. This paper aims to review the visual rating scales for dementia, focusing on their reliability, the correlation with volumetric imaging measures, and their predictive accuracy. Following the PRISMA guidelines, we systematically searched in Pubmed, Web of Science, Scopus, and MEDLINE databases until November 4, 2024. Of the 441 articles extracted, we included in the review 28 papers. All the scales reached a fair to excellent level of inter and intra rater agreement. Furthermore, negative correlations were found between the rating in each scale and brain volumetric measures. Lastly, the discriminative abilities exhibited variability according to the scale and the population comparisons. Visual rating scales of atrophy provide a reliable method for distinguishing physiological aging from pathological conditions, and among neurodegenerative forms. For an accurate differential diagnosis, it is essential to employ scales with the highest diagnostic precision.

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来源期刊
Reviews in the Neurosciences
Reviews in the Neurosciences 医学-神经科学
CiteScore
9.40
自引率
2.40%
发文量
54
审稿时长
6-12 weeks
期刊介绍: Reviews in the Neurosciences provides a forum for reviews, critical evaluations and theoretical treatment of selective topics in the neurosciences. The journal is meant to provide an authoritative reference work for those interested in the structure and functions of the nervous system at all levels of analysis, including the genetic, molecular, cellular, behavioral, cognitive and clinical neurosciences. Contributions should contain a critical appraisal of specific areas and not simply a compilation of published articles.
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