T1 mapping from routine 3D T1-weighted inversion recovery sequences in clinical practice: comparison against reference inversion recovery fast field echo T1 scans and feasibility in multiple sclerosis.

IF 2.4 3区 医学 Q2 CLINICAL NEUROLOGY Neuroradiology Pub Date : 2024-10-01 Epub Date: 2024-06-17 DOI:10.1007/s00234-024-03400-4
Griffin Young, Vivian S Nguyen, Quentin Howlett-Prieto, Amanda Frisosky Abuaf, Timothy J Carroll, Keigo Kawaji, Adil Javed
{"title":"T1 mapping from routine 3D T1-weighted inversion recovery sequences in clinical practice: comparison against reference inversion recovery fast field echo T1 scans and feasibility in multiple sclerosis.","authors":"Griffin Young, Vivian S Nguyen, Quentin Howlett-Prieto, Amanda Frisosky Abuaf, Timothy J Carroll, Keigo Kawaji, Adil Javed","doi":"10.1007/s00234-024-03400-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and purpose: </strong>Quantitative T1 mapping can be an essential tool for assessing tissue injury in multiple sclerosis (MS). We introduce T1-REQUIRE, a method that converts a single high-resolution anatomical 3D T1-weighted Turbo Field Echo (3DT1TFE) scan into a parametric T1 map that could be used for quantitative assessment of tissue damage. We present the accuracy and feasibility of this method in MS.</p><p><strong>Methods: </strong>14 subjects with relapsing-remitting MS and 10 healthy subjects were examined. T1 maps were generated from 3DT1TFE images using T1-REQUIRE, which estimates T1 values using MR signal equations and internal tissue reference T1 values. Estimated T1 of lesions, white, and gray matter regions were compared with reference Inversion-Recovery Fast Field Echo T1 values and analyzed via correlation and Bland-Altman (BA) statistics.</p><p><strong>Results: </strong>159 T1-weighted (T1W) hypointense MS lesions and 288 gray matter regions were examined. T1 values for MS lesions showed a Pearson's correlation of r = 0.81 (p < 0.000), R<sup>2</sup> = 0.65, and Bias = 4.18%. BA statistics showed a mean difference of -53.95 ms and limits of agreement (LOA) of -344.20 and 236.30 ms. Non-lesional normal-appearing white matter had a correlation coefficient of r = 0.82 (p < 0.000), R<sup>2</sup> = 0.67, Bias = 8.78%, mean difference of 73.87 ms, and LOA of -55.67 and 203.41 ms.</p><p><strong>Conclusions: </strong>We demonstrate the feasibility of retroactively derived high-resolution T1 maps from routinely acquired anatomical images, which could be used to quantify tissue pathology in MS. The results of this study will set the stage for testing this method in larger clinical studies for examining MS disease activity and progression.</p>","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroradiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00234-024-03400-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/17 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background and purpose: Quantitative T1 mapping can be an essential tool for assessing tissue injury in multiple sclerosis (MS). We introduce T1-REQUIRE, a method that converts a single high-resolution anatomical 3D T1-weighted Turbo Field Echo (3DT1TFE) scan into a parametric T1 map that could be used for quantitative assessment of tissue damage. We present the accuracy and feasibility of this method in MS.

Methods: 14 subjects with relapsing-remitting MS and 10 healthy subjects were examined. T1 maps were generated from 3DT1TFE images using T1-REQUIRE, which estimates T1 values using MR signal equations and internal tissue reference T1 values. Estimated T1 of lesions, white, and gray matter regions were compared with reference Inversion-Recovery Fast Field Echo T1 values and analyzed via correlation and Bland-Altman (BA) statistics.

Results: 159 T1-weighted (T1W) hypointense MS lesions and 288 gray matter regions were examined. T1 values for MS lesions showed a Pearson's correlation of r = 0.81 (p < 0.000), R2 = 0.65, and Bias = 4.18%. BA statistics showed a mean difference of -53.95 ms and limits of agreement (LOA) of -344.20 and 236.30 ms. Non-lesional normal-appearing white matter had a correlation coefficient of r = 0.82 (p < 0.000), R2 = 0.67, Bias = 8.78%, mean difference of 73.87 ms, and LOA of -55.67 and 203.41 ms.

Conclusions: We demonstrate the feasibility of retroactively derived high-resolution T1 maps from routinely acquired anatomical images, which could be used to quantify tissue pathology in MS. The results of this study will set the stage for testing this method in larger clinical studies for examining MS disease activity and progression.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
临床实践中常规三维 T1 加权反转恢复序列的 T1 映射:与参考反转恢复快速场回波 T1 扫描的比较以及在多发性硬化症中的可行性。
背景和目的:定量 T1 图谱是评估多发性硬化症(MS)组织损伤的重要工具。我们介绍了 T1-REQUIRE,这是一种将单次高分辨率解剖三维 T1 加权涡轮场回波(3DT1TFE)扫描转换成参数 T1 图的方法,可用于组织损伤的定量评估。我们介绍了这种方法在多发性硬化症中的准确性和可行性。方法:我们对 14 名复发缓解型多发性硬化症患者和 10 名健康患者进行了研究。T1-REQUIRE使用磁共振信号方程和内部组织参考T1值估算T1值,通过3DT1TFE图像生成T1图。将病变、白质和灰质区域的估计 T1 与参考反相恢复快场回波 T1 值进行比较,并通过相关性和布兰-阿尔特曼(Bland-Altman,BA)统计进行分析:对 159 个 T1 加权(T1W)低密度多发性硬化症病灶和 288 个灰质区域进行了检查。多发性硬化病灶的 T1 值显示皮尔逊相关性为 r = 0.81(p 2 = 0.65,偏差 = 4.18%)。BA 统计显示,平均差异为 -53.95 ms,一致性极限 (LOA) 为 -344.20 和 236.30 ms。非病变正常外观白质的相关系数为 r = 0.82(p 2 = 0.67,Bias = 8.78%,平均差为 73.87 ms,LOA 为 -55.67 和 203.41 ms):我们证明了从常规获取的解剖图像中追溯得出高分辨率 T1 图的可行性,该图可用于量化多发性硬化症的组织病理。这项研究的结果将为在更大规模的临床研究中测试这种方法以检查多发性硬化症的疾病活动和进展奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Neuroradiology
Neuroradiology 医学-核医学
CiteScore
5.30
自引率
3.60%
发文量
214
审稿时长
4-8 weeks
期刊介绍: Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.
期刊最新文献
Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features. Pineal gland ADC values in children aged 0 to 4 years: normative data and usefulness in the differential diagnosis with trilateral retinoblastoma. MR-Neurography of the facial nerve in parotid tumors: intra-parotid nerve visualization and surgical correlation. A Comparative Study of AI-Based Automated and Manual Postprocessing of Head and Neck CT Angiography: An Independent External Validation with Multi-Vendor and Multi-Center Data. CT-guided radiofrequency ablation of facial and mandibular nerves in the treatment of compound Meige's syndrome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1