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利用液体衰减反转恢复序列磁共振成像纹理生物标志物绘制小儿脑发育曲线

Developmental Curves of the Paediatric Brain Using FLAIR MRI Texture Biomarkers.

作者信息

Chan Karissa, Rabba Dania, Vidarsson Logi, Wagner Matthias W, Ertl-Wagner Birgit B, Khademi April

机构信息

Electrical, Computer and Biomedical Engineering Department, Toronto Metropolitan University, Toronto, ON, Canada.

Institute for Biomedical Engineering, Science Tech (iBEST), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, ON, Canada.

出版信息

Can Assoc Radiol J. 2025 Feb;76(1):145-152. doi: 10.1177/08465371241262175. Epub 2024 Jul 25.

Abstract

Analysis of FLAIR MRI sequences is gaining momentum in brain maturation studies, and this study aimed to establish normative developmental curves for FLAIR texture biomarkers in the paediatric brain. A retrospective, single-centre dataset of 465/512 healthy paediatric FLAIR volumes was used, with one pathological volume for proof-of-concept. Participants were included if the MRI was unremarkable as determined by a neuroradiologist. An automated intensity normalization algorithm was used to standardize FLAIR signal intensity across MRI scanners and individuals. FLAIR texture biomarkers were extracted from grey matter (GM), white matter (WM), deep GM, and cortical GM regions. Sex-specific percentile curves were reported and modelled for each tissue type. Correlations between texture and established biomarkers including intensity volume were examined. Biomarkers from the pathological volume were extracted to demonstrate clinical utility of normative curves. This study analyzed 465 FLAIR sequences in children and adolescents (mean age 10.65 ± 4.22 years, range 2-19 years, 220 males, 245 females). In the WM, texture increased to a maximum at around 8 to 10 years, with different trends between females and males in adolescence. In the GM, texture increased over the age range while demonstrating a local maximum at 8 to 10 years. Texture had an inverse relationship with intensity in the WM across all ages. WM and edema in a pathological brain exhibited abnormal texture values outside of the normative growth curves. Normative curves for texture biomarkers in FLAIR sequences may be used to assess brain maturation and microstructural changes over the paediatric age range.

摘要

在脑发育研究中,对液体衰减反转恢复(FLAIR)磁共振成像序列的分析正越来越受到关注,本研究旨在建立小儿脑FLAIR纹理生物标志物的正常发育曲线。我们使用了一个回顾性的单中心数据集,其中包含465/512例健康小儿的FLAIR图像,另有1例病理图像用于概念验证。如果神经放射科医生判定MRI无异常,则将参与者纳入研究。使用自动强度归一化算法对MRI扫描仪和个体之间的FLAIR信号强度进行标准化。从灰质(GM)、白质(WM)、深部GM和皮质GM区域提取FLAIR纹理生物标志物。报告并模拟了每种组织类型的性别特异性百分位数曲线。研究了纹理与包括强度体积在内的已建立生物标志物之间的相关性。提取病理图像中的生物标志物以证明正常曲线的临床应用价值。本研究分析了465例儿童和青少年的FLAIR序列(平均年龄10.65±4.22岁,范围2 - 19岁,男性220例,女性245例)。在白质中,纹理在8至10岁左右达到最大值,青春期男女之间存在不同趋势。在灰质中,纹理在整个年龄范围内增加,同时在8至10岁出现局部最大值。在所有年龄段,白质中的纹理与强度呈反比关系。病理性脑白质和水肿在正常生长曲线之外表现出异常的纹理值。FLAIR序列纹理生物标志物的正常曲线可用于评估小儿年龄范围内的脑发育和微观结构变化。

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