Experimental Study of Detectability of Simulated Lung Nodule on Computed Radiography System Using Various X-ray Beam Qualities
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- Fujimoto Koya
- School of Health Sciences, Faculty of Medicine, The University of Tokushima Current address: Department of Radiological Technology, Yamaguchi University Hospital
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- Nishihara Sadamitsu
- Institute of Health Biosciences, The University of Tokushima Graduate School
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- Yagi Hirofumi
- Institute of Health Biosciences, The University of Tokushima Graduate School
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- Soga Akira
- School of Health Sciences, Faculty of Medicine, The University of Tokushima Current address: Bell Land General Hospital
Bibliographic Information
- Other Title
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- 異なる線質で撮影したCRシステムにおける模擬肺結節陰影の検出能に関する実験的研究
- 臨床技術 異なる線質で撮影したCRシステムにおける模擬肺結節陰影の検出能に関する実験的研究
- リンショウ ギジュツ コトナル センシツ デ サツエイ シタ CR システム ニ オケル モギ ハイ ケッセツ インエイ ノ ケンシュツノウ ニ カンスル ジッケンテキ ケンキュウ
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Abstract
The purpose of this study was to discuss the optimal X-ray beam quality for detection of simulated lung nodule on a computed radiography system. We set up four types of X-ray beam quality (90 kV, 120 kV, 150 kV, and 120 kV + gadolinium filter), and kept the incident dose on the patient at 0.3 mGy. A receiver operating characteristic (ROC) analysis and a granularity measurement were used to evaluate the relationship between the detection of a low-contrast object and X-ray beam quality. As a result, the areas under the ROC curve (AUC) of 90 kV and 120 kV + gadolinium filter were significantly superior to those of 120 kV and 150 kV (p<0.05). However, a significant difference was not observed between 90 kV and 120 kV + gadolinium filter, 120 kV and 150 kV. The order of the granularity values gave good agreement with the results of visual evaluation. In conclusion, we considered that the optimal X-ray beam quality was 90 kV or 120 kV + gadolinium filter.
Journal
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- Japanese Journal of Radiological Technology
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Japanese Journal of Radiological Technology 66 (11), 1480-1484, 2010
Japanese Society of Radiological Technology
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Details 詳細情報について
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- CRID
- 1390001206363190272
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- NII Article ID
- 10026964937
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- NII Book ID
- AN00197784
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- ISSN
- 18814883
- 03694305
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- NDL BIB ID
- 10921748
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed