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利用颈 MRI 的多模态放射组学技术诊断颈脊髓损伤和脊髓震荡。

Utilizing multimodal radiomics technology from cervical MRI for diagnosis of cervical spinal cord injury and spinal cord concussion.

机构信息

Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.

Department of Orthopaedic Surgery, The Second Affiliated Hospital of Fujian Medical University, No.34, Zhongshanbeilu, Quanzhou, 36200, Fujian, China.

出版信息

Sci Rep. 2024 Aug 12;14(1):18686. doi: 10.1038/s41598-024-69784-8.

DOI:10.1038/s41598-024-69784-8
PMID:39134616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11319766/
Abstract

The primary aim of this study is to assess the viability of employing multimodal radiomics techniques for distinguishing between cervical spinal cord injury and spinal cord concussion in cervical magnetic resonance imaging. This is a multicenter study involving 288 patients from a major medical center as the training group, and 75 patients from two other medical centers as the testing group. Data regarding the presence of spinal cord injury symptoms and their recovery status within 72 h were documented. These patients underwent sagittal T1-weighted and T2-weighted imaging using cervical magnetic resonance imaging. Radiomics techniques are used to help diagnose whether these patients have cervical spinal cord injury or spinal cord concussion. 1197 radiomics features were extracted for each modality of each patient. The accuracy of T1 modal in testing group is 0.773, AUC is 0.799. The accuracy of T2 modal in testing group is 0.707, AUC is 0.813. The accuracy of T1 + T2 modal in testing group is 0.800, AUC is 0.840. Our research indicates that multimodal radiomics techniques utilizing cervical magnetic resonance imaging can effectively diagnose the presence of cervical spinal cord injury or spinal cord concussion.

摘要

本研究的主要目的是评估多模态放射组学技术在颈椎磁共振成像中鉴别颈脊髓损伤和脊髓震荡的可行性。这是一项多中心研究,涉及来自一家主要医学中心的 288 例患者作为训练组,以及来自另外两家医学中心的 75 例患者作为测试组。记录了患者存在脊髓损伤症状及其在 72 小时内的恢复情况。这些患者接受了颈椎磁共振成像的矢状 T1 加权和 T2 加权成像。放射组学技术用于帮助诊断这些患者是否患有颈脊髓损伤或脊髓震荡。为每位患者的每种模态提取了 1197 个放射组学特征。T1 模态在测试组中的准确率为 0.773,AUC 为 0.799。T2 模态在测试组中的准确率为 0.707,AUC 为 0.813。T1+T2 模态在测试组中的准确率为 0.800,AUC 为 0.840。我们的研究表明,利用颈椎磁共振成像的多模态放射组学技术可以有效诊断颈脊髓损伤或脊髓震荡的存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/32faafd6edd6/41598_2024_69784_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/9fd3d4b771e7/41598_2024_69784_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/238de5692abe/41598_2024_69784_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/dfe97e794185/41598_2024_69784_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/727116037f40/41598_2024_69784_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/9a3a8b01d3c2/41598_2024_69784_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/32faafd6edd6/41598_2024_69784_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/9fd3d4b771e7/41598_2024_69784_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/238de5692abe/41598_2024_69784_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/dfe97e794185/41598_2024_69784_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/727116037f40/41598_2024_69784_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/9a3a8b01d3c2/41598_2024_69784_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558f/11319766/32faafd6edd6/41598_2024_69784_Fig6_HTML.jpg

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本文引用的文献

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Prognostic MRI parameters in acute traumatic cervical spinal cord injury.急性创伤性颈脊髓损伤的预后 MRI 参数。
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Deep Learning Algorithm for Identifying Cervical Cord Compression Due to Degenerative Canal Stenosis on Radiography.
用于在X线片上识别退行性椎管狭窄导致的颈髓压迫的深度学习算法
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Determining the short-term neurological prognosis for acute cervical spinal cord injury using machine learning.利用机器学习技术预测急性颈脊髓损伤的短期神经预后。
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