ID | 116816 |
Author |
Ogura, K
Kanaiso Hospital
Bando, Hiroshi
Kanaiso Hospital|Tokushima University|Integrative Medicine Japan
KAKEN Search Researchers
Obonai, T
Kanaiso Hospital
Kato, Y
Kanaiso Hospital
Kato, Y
Kanaiso Hospital
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Keywords | Three-Dimensional Image Analysis
SYNAPSE Vincent
Computed Tomography Colonography (CTC)
Colorectal Cancer (CRC)
Gastrografin
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Content Type |
Journal Article
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Description | Background: For three-dimensional image analysis, SYNAPSE VINCENT (Fujifilm, Japan) has been applied. Authors have continued various clinical practice and research with image study by computer analysis.
Patient and Method: The patient is a 65-year-old female with further evaluation of colon. Method included abdominal computed tomography (CT) scan associated with injecting necessary amount of air from the anus. With maintaining this condition, CT scan was conducted two times of supine position and prone position. Results: The case had sigmoid cancer, which was presented irregular surface texture. Further, she had colon polyp in the sigmoid colon and diverticula in the descending colon. These images were presented in the display associated with i) the position and direction for observation, ii) CT image of the corresponding point, iii) endoscopic image for the corresponding region. Discussion: This image analysis system would be useful for clinical diagnosis, because the images have multiple angles and related situations of colon mucosa, folds, and stiffness and so on. The combined data can provide significant information including coronal, horizontal and sagittal planes. When the surgeon operates colon cancer, he can make the correct imagination of the lesion in advance. It seems to be beneficial for smooth treatment of surgical operation. |
Journal Title |
International Journal of Case Reports and Clinical Images
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ISSN | 26943816
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Publisher | Pubtexto Publishers
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Volume | 4
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Issue | 1
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Start Page | 170
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Published Date | 2022-01-05
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Rights | This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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DOI (Published Version) | |
URL ( Publisher's Version ) | |
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language |
eng
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TextVersion |
Publisher
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departments |
Medical Sciences
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