• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Modeling Early Postnatal Brain Growth and Development with CT: Changes in the Brain Radiodensity Histogram from Birth to 2 Years.使用 CT 对早期产后大脑生长和发育进行建模:出生至 2 岁时脑密度直方图的变化。
AJNR Am J Neuroradiol. 2018 Apr;39(4):775-781. doi: 10.3174/ajnr.A5559. Epub 2018 Feb 15.
2
A Radiodensity Histogram Study of the Brain in Multiple Sclerosis.多发性硬化症脑部的放射密度直方图研究
Tomography. 2018 Dec;4(4):194-203. doi: 10.18383/j.tom.2018.00050.
3
Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression.儿科头部 CT:分位数回归的自动定量分析。
AJNR Am J Neuroradiol. 2021 Jan;42(2):382-388. doi: 10.3174/ajnr.A6885. Epub 2020 Dec 10.
4
Aging and the Brain: A Quantitative Study of Clinical CT Images.脑老化与脑:临床 CT 图像的定量研究。
AJNR Am J Neuroradiol. 2020 May;41(5):809-814. doi: 10.3174/ajnr.A6510. Epub 2020 Apr 23.
5
Prognostic Utility of Computed Tomography Histogram Analysis in Patients With Post-Cardiac Arrest Syndrome: Evaluation Using an Automated Whole-Brain Extraction Algorithm.计算机断层扫描直方图分析在心脏骤停后综合征患者中的预后效用:使用自动全脑提取算法进行评估
J Comput Assist Tomogr. 2016 Jul-Aug;40(4):612-6. doi: 10.1097/RCT.0000000000000396.
6
Automated Segmentation of Head Computed Tomography Images Using FSL.使用FSL对头计算机断层扫描图像进行自动分割
J Comput Assist Tomogr. 2018 Jan/Feb;42(1):104-110. doi: 10.1097/RCT.0000000000000660.
7
Histogram-based comparison between dynamic and static lung perfused blood volume images using dual energy CT.基于双能 CT 的动态与静态肺灌注血容量图像直方图比较。
Eur J Radiol. 2018 Nov;108:269-275. doi: 10.1016/j.ejrad.2018.08.012. Epub 2018 Aug 13.
8
Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: An exploratory study.基于每日CT定量影像组学分析的胰腺癌放化疗期间治疗反应评估:一项探索性研究。
PLoS One. 2017 Jun 2;12(6):e0178961. doi: 10.1371/journal.pone.0178961. eCollection 2017.
9
CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical Outcomes.大型原发性肾细胞癌的CT纹理分析:治疗前肿瘤异质性与组织学结果及临床结局相关
AJR Am J Roentgenol. 2016 Jul;207(1):96-105. doi: 10.2214/AJR.15.15451. Epub 2016 May 4.
10
Quantitative CT density histogram values and standardized uptake values of FDG-PET/CT with respiratory gating can distinguish solid adenocarcinomas from squamous cell carcinomas of the lung.定量 CT 密度直方图值和 FDG-PET/CT 的标准化摄取值与呼吸门控技术相结合可以区分肺的实性腺癌和鳞状细胞癌。
Eur J Radiol. 2018 Mar;100:108-115. doi: 10.1016/j.ejrad.2018.01.021. Epub 2018 Jan 31.

引用本文的文献

1
Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning model.使用深度学习模型对2岁儿童脑CT体积进行自动分割和定量分析。
Front Neurol. 2025 Apr 24;16:1573060. doi: 10.3389/fneur.2025.1573060. eCollection 2025.
2
Pitfalls in the interpretation of pediatric head CTs: what the emergency radiologist needs to know.儿科头部 CT 解读中的陷阱:急诊放射科医生需要了解的内容。
Emerg Radiol. 2022 Aug;29(4):729-742. doi: 10.1007/s10140-022-02042-4. Epub 2022 Apr 8.
3
Zika virus vertical transmission in interferon receptor1-antagonized Rag1 mice results in postnatal brain abnormalities and clinical disease.干扰素受体 1 拮抗剂 Rag1 小鼠中的寨卡病毒垂直传播可导致产后大脑异常和临床疾病。
Acta Neuropathol Commun. 2022 Apr 4;10(1):46. doi: 10.1186/s40478-022-01351-6.
4
Head CT: Toward Making Full Use of the Information the X-Rays Give.头部CT:迈向充分利用X射线所提供的信息
AJNR Am J Neuroradiol. 2021 Aug;42(8):1362-1369. doi: 10.3174/ajnr.A7153. Epub 2021 Jun 17.
5
The effects of the skull on CT imaging of the brain: a skull and brain phantom study.颅骨对脑部 CT 成像的影响:颅骨和脑部成像研究。
Br J Radiol. 2021 Mar 1;94(1119):20200714. doi: 10.1259/bjr.20200714. Epub 2021 Feb 3.
6
Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression.儿科头部 CT:分位数回归的自动定量分析。
AJNR Am J Neuroradiol. 2021 Jan;42(2):382-388. doi: 10.3174/ajnr.A6885. Epub 2020 Dec 10.
7
Aging and the Brain: A Quantitative Study of Clinical CT Images.脑老化与脑:临床 CT 图像的定量研究。
AJNR Am J Neuroradiol. 2020 May;41(5):809-814. doi: 10.3174/ajnr.A6510. Epub 2020 Apr 23.
8
A Radiodensity Histogram Study of the Brain in Multiple Sclerosis.多发性硬化症脑部的放射密度直方图研究
Tomography. 2018 Dec;4(4):194-203. doi: 10.18383/j.tom.2018.00050.

本文引用的文献

1
Automated Segmentation of Head Computed Tomography Images Using FSL.使用FSL对头计算机断层扫描图像进行自动分割
J Comput Assist Tomogr. 2018 Jan/Feb;42(1):104-110. doi: 10.1097/RCT.0000000000000660.
2
Gray matter volume alterations in first-episode drug-naïve patients with deficit and nondeficit schizophrenia.首发未用药的缺损型和非缺损型精神分裂症患者的灰质体积改变
Psychiatry Res. 2015 Nov 30;234(2):219-226. doi: 10.1016/j.pscychresns.2015.09.015. Epub 2015 Sep 11.
3
Validated automatic brain extraction of head CT images.头部CT图像的经验证的自动脑提取
Neuroimage. 2015 Jul 1;114:379-85. doi: 10.1016/j.neuroimage.2015.03.074. Epub 2015 Apr 7.
4
Structural growth trajectories and rates of change in the first 3 months of infant brain development.婴儿大脑发育前3个月的结构生长轨迹及变化率。
JAMA Neurol. 2014 Oct;71(10):1266-74. doi: 10.1001/jamaneurol.2014.1638.
5
Regional infant brain development: an MRI-based morphometric analysis in 3 to 13 month olds.基于 MRI 的 3 至 13 月龄婴儿脑区域性发育的形态学分析。
Cereb Cortex. 2013 Sep;23(9):2100-17. doi: 10.1093/cercor/bhs197. Epub 2012 Jul 6.
6
Brain gray matter deficits at 33-year follow-up in adults with attention-deficit/hyperactivity disorder established in childhood.对童年期确诊的注意力缺陷多动障碍成年人进行33年随访后的脑灰质缺陷
Arch Gen Psychiatry. 2011 Nov;68(11):1122-34. doi: 10.1001/archgenpsychiatry.2011.117.
7
FSL.束流输送系统。
Neuroimage. 2012 Aug 15;62(2):782-90. doi: 10.1016/j.neuroimage.2011.09.015. Epub 2011 Sep 16.
8
Infant brain atlases from neonates to 1- and 2-year-olds.婴儿脑图谱:从新生儿到 1 岁和 2 岁儿童。
PLoS One. 2011 Apr 14;6(4):e18746. doi: 10.1371/journal.pone.0018746.
9
A structural MRI study of human brain development from birth to 2 years.一项关于人类从出生到2岁大脑发育的结构磁共振成像研究。
J Neurosci. 2008 Nov 19;28(47):12176-82. doi: 10.1523/JNEUROSCI.3479-08.2008.
10
Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain.新生儿大脑区域灰质生长、性别差异及脑不对称性
J Neurosci. 2007 Feb 7;27(6):1255-60. doi: 10.1523/jneurosci.3339-06.2007.

使用 CT 对早期产后大脑生长和发育进行建模:出生至 2 岁时脑密度直方图的变化。

Modeling Early Postnatal Brain Growth and Development with CT: Changes in the Brain Radiodensity Histogram from Birth to 2 Years.

机构信息

From the Department of Radiology (K.A.C., S.W.F.)

Biomedical & Translational Informatics (Y.H.).

出版信息

AJNR Am J Neuroradiol. 2018 Apr;39(4):775-781. doi: 10.3174/ajnr.A5559. Epub 2018 Feb 15.

DOI:10.3174/ajnr.A5559
PMID:29449277
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7410787/
Abstract

BACKGROUND AND PURPOSE

The majority of brain growth and development occur in the first 2 years of life. This study investigated these changes by analysis of the brain radiodensity histogram of head CT scans from the clinical population, 0-2 years of age.

MATERIALS AND METHODS

One hundred twenty consecutive head CTs with normal findings meeting the inclusion criteria from children from birth to 2 years were retrospectively identified from 3 different CT scan platforms. Histogram analysis was performed on brain-extracted images, and histogram mean, mode, full width at half maximum, skewness, kurtosis, and SD were correlated with subject age. The effects of scan platform were investigated. Normative curves were fitted by polynomial regression analysis.

RESULTS

Average total brain volume was 360 cm at birth, 948 cm at 1 year, and 1072 cm at 2 years. Total brain tissue density showed an 11% increase in mean density at 1 year and 19% at 2 years. Brain radiodensity histogram skewness was positive at birth, declining logarithmically in the first 200 days of life. The histogram kurtosis also decreased in the first 200 days to approach a normal distribution. Direct segmentation of CT images showed that changes in brain radiodensity histogram skewness correlated with, and can be explained by, a relative increase in gray matter volume and an increase in gray and white matter tissue density that occurs during this period of brain maturation.

CONCLUSIONS

Normative metrics of the brain radiodensity histogram derived from routine clinical head CT images can be used to develop a model of normal brain development.

摘要

背景与目的

大脑的大部分生长和发育发生在生命的头 2 年。本研究通过分析临床人群(0-2 岁)头部 CT 扫描的脑放射密度直方图来研究这些变化。

材料与方法

从 3 种不同的 CT 扫描平台中,回顾性地确定了 120 例符合纳入标准的 0-2 岁正常头部 CT。对脑提取图像进行直方图分析,将直方图均值、模式、半峰全宽、偏度、峰度和标准差与受试者年龄相关联。研究了扫描平台的影响。通过多项式回归分析拟合正态曲线。

结果

出生时平均总脑容量为 360cm,1 岁时为 948cm,2 岁时为 1072cm。总脑组织密度在 1 岁时平均密度增加 11%,在 2 岁时增加 19%。脑放射密度直方图偏度在出生时为正,在生命的头 200 天内呈对数下降。直方图峰度也在头 200 天内下降,接近正态分布。CT 图像的直接分割显示,脑放射密度直方图偏度的变化与这一期间脑成熟过程中灰质体积的相对增加以及灰质和白质组织密度的增加相关,并可对此进行解释。

结论

从常规临床头部 CT 图像得出的脑放射密度直方图的正常度量标准可用于建立正常脑发育模型。