Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.

Journal: AJNR. American journal of neuroradiology
Published Date: Jun 3, 2025

Abstract

BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across time, with MRI techniques playing a pivotal role in enhancing lesion detection. However, the impact of deep learning (DL)-based reconstruction on 3D double inversion recovery (DIR) imaging for inflammatory myelopathies remains unassessed. This study aimed to compare the acquisition time, image quality, diagnostic confidence, and lesion detection rates among sagittal T2WI, standard DIR, and DL-reconstructed DIR in patients with inflammatory myelopathies.

Authors

  • Qiang Fang
  • Qing Yang
    School of Nursing, Chengdu Medical College, Chengdu, China.
  • Bao Wang
    Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA.
  • Bing Wen
    Department of Radiology, Yiyang Central Hospital, Yiyang, China.
  • Guangrun Xu
    Department of Neurology (B. Wen, G.X.), Qilu Hospital of Shandong University, Jinan, Shandong Province, China.
  • Jingzhen He
    From the Department of Radiology (Q.F., Q.Y., B. Wang, J.H.), Qilu Hospital of Shandong University, Jinan, Shandong Province, China hjzhhjzh@163.com.

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