Thin-slice Two-dimensional T2-weighted Imaging with Deep Learning-based Reconstruction: Improved Lesion Detection in the Brain of Patients with Multiple Sclerosis
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- Iwamura Masatoshi
- Department of Radiology, Hirosaki University Graduate School of Medicine Department of Radiology, Aomori Prefectural Central Hospital
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- Ide Satoru
- Department of Radiology, University of Occupational and Environmental Health, School of Medicine
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- Sato Kenya
- Department of Radiology, Aomori Prefectural Central Hospital
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- Kakuta Akihisa
- Department of Radiology, Aomori Prefectural Central Hospital
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- Tatsuo Soichiro
- Department of Radiology, Hirosaki University Graduate School of Medicine
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- Nozaki Atsushi
- MR Application and Workflow, GE Healthcare
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- Wakayama Tetsuya
- MR Application and Workflow, GE Healthcare
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- Ueno Tatsuya
- Department of Neurology, Aomori Prefectural Central Hospital
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- Haga Rie
- Department of Neurology, Aomori Prefectural Central Hospital
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- Kakizaki Misako
- Department of Radiology, Aomori Prefectural Central Hospital
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- Yokoyama Yoko
- Department of Radiology, Aomori Prefectural Central Hospital
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- Yamauchi Ryoichi
- Department of Radiology, Aomori Prefectural Central Hospital
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- Tsushima Fumiyasu
- Department of Radiology, Hirosaki University Graduate School of Medicine
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- Shibutani Koichi
- Department of Radiology, Aomori Prefectural Central Hospital
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- Tomiyama Masahiko
- Department of Neurology, Hirosaki University Graduate School of Medicine
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- 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>
収録刊行物
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- Magnetic Resonance in Medical Sciences
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Magnetic Resonance in Medical Sciences 23 (2), 184-192, 2024
日本磁気共鳴医学会