与矢状面t2加权TSE和STIR序列相比,在多发性硬化症中使用轴向t2加权TSE序列与全脊髓覆盖改善脊髓病变的检测:一项前瞻性研究。

IF 2.6 3区 医学 Q2 CLINICAL NEUROLOGY
Christian Thaler, Vincent Geest, Lukas Meyer, Charlotte Schubert, Christoph Heesen, Jens Fiehler, Susanne Gellißen
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引用次数: 0

摘要

目的:本研究旨在比较矢状位T2w-TSE和矢状位短tau倒置恢复(STIR)序列与全脊髓覆盖的轴向T2w-TSE序列在识别疑似脱髓鞘疾病和诊断为多发性硬化症(MS)患者脊髓病变中的检出率和间率。方法:104例患者前瞻性纳入本研究,并接受MRI检查,包括矢状T2w-TSE和STIR序列,以及全脊髓覆盖的轴向T2w-TSE序列。两名经验丰富的神经放射学家,不知道临床参数,在不同的会议中独立评估扫描结果。盲法读数后,评分者重新评估所有序列,以评估是否可以在其他序列中回顾性识别病变。结果:81例患者出现脊髓损伤。矢状面T2w-TSE序列的信度最高(κ = 0.73, 95%-CI 0.66 ~ 0.79),其次是轴向T2w-TSE序列(κ = 0.71, 95%-CI 0.63 ~ 0.79)和矢状面STIR序列(κ = 0.65, 95%-CI 0.58 ~ 0.73)。轴向T2w-TSE序列显示出更高的病变检出率,与STIR序列(n = 293)和T2w-TSE矢状序列(n = 224)相比,发现的病变明显更多(n = 361) (p)。结论:与矢状序列相比,全脊髓覆盖的T2w-TSE轴向序列提供了更好的病变检出率,应纳入MS患者的标准MRI方案。它们可以加速满足MS的MRI标准,改善疾病进展的监测,并增强对未来残疾的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved detection of spinal cord lesions using an axial T2-weighted TSE sequence with full spinal cord coverage compared to sagittal T2-weighted TSE and STIR sequences in multiple sclerosis: a prospective study.

Objective: This study aimed to compare the detection rates and inter-rater agreements of the sagittal T2w-TSE and sagittal short tau inversion recovery (STIR) sequence versus the axial T2w-TSE sequence with full spinal cord coverage in identifying spinal cord lesions in patients with suspected demyelinating diseases and diagnosed multiple sclerosis (MS).

Methods: 104 patients were prospectively enrolled in this study and underwent MRI, including a sagittal T2w-TSE and STIR sequence, as well as an axial T2w-TSE sequence with full spinal cord coverage. Two experienced neuroradiologists, blinded to clinical parameters, independently evaluated the scans in separate sessions. After blinded readings, raters re-evaluated all sequences to assess if lesions could be retrospectively identified in other sequences.

Results: Spinal cord lesions were found in 81 patients. The highest inter-rater reliability was observed for the sagittal T2w-TSE sequence (κ = 0.73, 95%-CI 0.66-0.79), followed by the axial T2w-TSE (κ = 0.71, 95%-CI 0.63-0.79) and the sagittal STIR sequence (κ = 0.65, 95%-CI 0.58-0.73). The axial T2w-TSE sequence demonstrated superior lesion detection rates, identifying significantly more lesions (n = 361) compared to the STIR (n = 293) and T2w-TSE sagittal (n = 224) sequence (p < 0.001).

Conclusion: Axial T2w-TSE sequences with full spinal cord coverage provide superior lesion detection compared to sagittal sequences and should be included in standard MRI protocols for MS patients. They may accelerate meeting MRI criteria for MS, improve monitoring of disease progression, and enhance prediction of future disability.

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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.
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