相关实验视频

Updated: May 2, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

使用深度学习检测加速的大脑体积损失和多发性硬化症残疾进展的更高效果大小

Roland Opfer¹, Tjalf Ziemssen², Julia Krüger¹

¹Jung Diagnostics GmbH, Hamburg, Germany.

Computers in biology and medicine

|October 18, 2024

概括

深度学习工具BrainLossNet准确地检测了多发性硬化症 (MS) 患者的加速大脑体积损失. 它还区分了MS患者与无残疾进展,提供了临床价值.

科学领域:

神经成像是一种神经成像.
人工智能在医学中的应用
神经学神经学

背景情况:

多发性硬化症 (MS) 是一种慢性神经系统疾病,其特点是逐渐残疾.
精确估计大脑体积损失 (BVL) 对于监测多发性硬化症进展和治疗疗效至关重要.
目前用于BVL估计的方法可能在速度和稳定性方面存在局限性.

研究的目的:

临床验证BrainLossNet,这是一个深度学习方法,用于估计大脑体积损失 (BVL).
评估BrainLossNet在多发性硬化症 (MS) 中检测加速BVL的能力.
评估BrainLossNet在区分患有或没有残疾进展的多发性硬化症患者方面的表现.

主要方法:

使用纵向T1加权MRI对规范数据库 (n=563) 和MS队列 (n=414,156,216) 的回顾性分析.
每年使用BrainLossNet和Siena计算大脑体积损失 (BVL),并根据年龄进行调整.
使用重复测量ANOVA和科恩效应大小的统计比较,与149名多发性硬化患者的扩展残疾状况量表 (EDSS) 数据进行比较.

主要成果:

BrainLossNet显示,Cohen的效应大小比Siena大得多,用于将多发性硬化症患者与健康对照患者区分开来 (例如,MS队列1中的0.927与0.495).
BrainLossNet在区分患有 (0.503) 和没有 (0.400) EDSS 进展的多发性硬化症患者之间显示出更大的效果大小 (p=0.048).
所有的比较都显示了统计学上显著的结果 (p < 0.001 对于健康对照差异化).

结论:

脑损失网 (BrainLossNet) 是一种快速,强大的深度学习方法,用于估计脑体积损失 (BVL).
BrainLossNet为在MS中检测加速BVL和在临床环境中区分患者残疾进展提供了附加值.
该方法显示了在MS临床试验和常规实践中使用的潜力.

关键词:

在这里,我们可以看到AIAIAI.大脑体积损失大脑体积损失卷积神经网络是一种卷积神经网络.磁共振成像技术磁共振成像技术多发性硬化症是多发性硬化症.

更多相关视频

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

相关概念视频

Long-term Potentiation

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.

Long-term Potentiation

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when...

Dementia l: Introduction

Dementia l: Introduction

Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...