Thin-slice Two-dimensional T2-weighted Imaging with Deep Learning-based Reconstruction: Improved Lesion Detection in the Brain of Patients with Multiple Sclerosis

  • Iwamura Masatoshi
    Department of Radiology, Hirosaki University Graduate School of Medicine Department of Radiology, Aomori Prefectural Central Hospital
  • Ide Satoru
    Department of Radiology, University of Occupational and Environmental Health, School of Medicine
  • Sato Kenya
    Department of Radiology, Aomori Prefectural Central Hospital
  • Kakuta Akihisa
    Department of Radiology, Aomori Prefectural Central Hospital
  • Tatsuo Soichiro
    Department of Radiology, Hirosaki University Graduate School of Medicine
  • Nozaki Atsushi
    MR Application and Workflow, GE Healthcare
  • Wakayama Tetsuya
    MR Application and Workflow, GE Healthcare
  • Ueno Tatsuya
    Department of Neurology, Aomori Prefectural Central Hospital
  • Haga Rie
    Department of Neurology, Aomori Prefectural Central Hospital
  • Kakizaki Misako
    Department of Radiology, Aomori Prefectural Central Hospital
  • Yokoyama Yoko
    Department of Radiology, Aomori Prefectural Central Hospital
  • Yamauchi Ryoichi
    Department of Radiology, Aomori Prefectural Central Hospital
  • Tsushima Fumiyasu
    Department of Radiology, Hirosaki University Graduate School of Medicine
  • Shibutani Koichi
    Department of Radiology, Aomori Prefectural Central Hospital
  • Tomiyama Masahiko
    Department of Neurology, Hirosaki University Graduate School of Medicine
  • Kakeda Shingo
    Department of Radiology, Hirosaki University Graduate School of Medicine

抄録

<p>Purpose: Brain MRI with high spatial resolution allows for a more detailed delineation of multiple sclerosis (MS) lesions. The recently developed deep learning-based reconstruction (DLR) technique enables image denoising with sharp edges and reduced artifacts, which improves the image quality of thin-slice 2D MRI. We, therefore, assessed the diagnostic value of 1 mm-slice-thickness 2D T2-weighted imaging (T2WI) with DLR (1 mm T2WI with DLR) compared with conventional MRI for identifying MS lesions.</p><p>Methods: Conventional MRI (5 mm T2WI, 2D and 3D fluid-attenuated inversion recovery) and 1 mm T2WI with DLR (imaging time: 7 minutes) were performed in 42 MS patients. For lesion detection, two neuroradiologists counted the MS lesions in two reading sessions (conventional MRI interpretation with 5 mm T2WI and MRI interpretations with 1 mm T2WI with DLR). The numbers of lesions per region category (cerebral hemisphere, basal ganglia, brain stem, cerebellar hemisphere) were then compared between the two reading sessions.</p><p>Results: For the detection of MS lesions by 2 neuroradiologists, the total number of detected MS lesions was significantly higher for MRI interpretation with 1 mm T2WI with DLR than for conventional MRI interpretation with 5 mm T2WI (765 lesions vs. 870 lesions at radiologist A, < 0.05). In particular, of the 33 lesions in the brain stem, radiologist A detected 21 (63.6%) additional lesions by 1 mm T2WI with DLR.</p><p>Conclusion: Using the DLR technique, whole-brain 1 mm T2WI can be performed in about 7 minutes, which is feasible for routine clinical practice. MRI with 1 mm T2WI with DLR enabled increased MS lesion detection, particularly in the brain stem.</p>

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