A Case in Which Identification of Cardiac Scar Tissue by MDCT Was Effective in Ablation for Ventricular Tachycardia
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- Iseda Takahiro
- Department of Cardiology, Japanese Red Cross Wakayama Medical Center
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- Hanazawa Kouji
- Department of Cardiology, Japanese Red Cross Wakayama Medical Center
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- Suenaga Akihira
- Department of Cardiology, Japanese Red Cross Wakayama Medical Center
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- Kobayashi Hiroyuki
- Department of Radiology, Japanese Red Cross Wakayama Medical Center
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- Shima Seiji
- Department of Laboratory, Japanese Red Cross Wakayama Medical Center
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- Kuribayashi Tomonari
- Department of Laboratory, Japanese Red Cross Wakayama Medical Center
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- Toyofuku Mamoru
- Department of Cardiology, Japanese Red Cross Wakayama Medical Center
Bibliographic Information
- Other Title
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- MDCTによる心臓瘢痕組織の同定が心室頻拍に対するアブレーションで有効であった1例
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Abstract
<p>During catheterization of ventricular tachycardia, we have often found it difficult to identify the origin of ventricular tachycardia when tachycardia is not induced during the procedure or hemodynamics are disrupted. Late gadolinium enhancement(LGE)in cardiac MRI and late Iodine enhancement(LIE)in cardiac CT are reportedly performed to identify myocardial scar tissue and estimate the origin of ventricular tachycardia preoperatively. However, although LGE is useful for identifying the origin of tachycardia, the slice thickness is large and imaging takes a long time, and if a premature beat occurs or the device is inserted during imaging, a good image cannot be obtained. On the other hand, LIE also has poor resolution, making it difficult to take clear images. In this case report, the origin of ventricular tachycardia was presumed preoperatively using a new image processing method called Subtraction Myocardial Image for Late Iodine Enhancement(SMILIE)using a 320-row Area Detector CT, which was useful during catheter ablation.</p>
Journal
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- Japanese Journal of Electrocardiology
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Japanese Journal of Electrocardiology 42 (4), 218-225, 2022-12-23
Japanese Heart Rhythm Society
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Details 詳細情報について
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- CRID
- 1390294562479786240
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- ISSN
- 18842437
- 02851660
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed