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Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography
To determine the utility of low kilovoltage computed tomographic venography (CTV) for the detection of deep venous thrombus in the lower limbs. Twenty-one thrombi in 19 enrolled patients were investigated in this retrospective study. Patients were initially scanned using CTV at 100 kVp, at the femur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944700/ https://www.ncbi.nlm.nih.gov/pubmed/29419670 http://dx.doi.org/10.1097/MD.0000000000009775 |
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author | Sasaki, Tomoaki Fujimoto, Yasuomi Ishitoya, Shunta Nabaa, Basim Watanabe, Naofumi Yamaki, Toshihiro Takahashi, Koji |
author_facet | Sasaki, Tomoaki Fujimoto, Yasuomi Ishitoya, Shunta Nabaa, Basim Watanabe, Naofumi Yamaki, Toshihiro Takahashi, Koji |
author_sort | Sasaki, Tomoaki |
collection | PubMed |
description | To determine the utility of low kilovoltage computed tomographic venography (CTV) for the detection of deep venous thrombus in the lower limbs. Twenty-one thrombi in 19 enrolled patients were investigated in this retrospective study. Patients were initially scanned using CTV at 100 kVp, at the femur level, followed by an immediate switch to 80 kVp. We assessed the CT values of thrombi and veins and performed subjective evaluation for detecting thrombi using a 5-point scoring system: 1, unable to evaluate due to noise or artifacts; 2, equivocal venous thrombus; 3, possible venous thrombus; 4, probable venous thrombus; and 5, definite venous thrombus. Venous density on 100-kVp images (mean ± SD [standard deviation]: 122 ± 23 HU, 95% confidence interval [CI]: 111–133 Hounsfield unit [HU]) was significantly lower than that on 80-kVp images (136 ± 24 HU, 95% CI: 125–147 HU, P < .001). There was no significant difference in thrombi between 100-kVp images (55 ± 14 HU, 95% CI: 49–61 HU) and 80-kVp images (57 ± 16, 95% CI: 50–64 HU, P = .168). The thrombus to vein ratio on 100-kVp images (0.47 ± 0.20, 95% CI: 0.39–0.56) was significantly higher than that on 80-kVp images (0.44 ± 0.16, 95% CI: 0.37–0.51, P = .048). The mean 5-point score was significantly higher on the 80-kVp images (4.76) than on the 100-kVp images (4.45, P = .016). Lower kilovoltage CTV significantly improved thrombotic to venous contrasts in the lower limbs. |
format | Online Article Text |
id | pubmed-5944700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-59447002018-05-17 Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography Sasaki, Tomoaki Fujimoto, Yasuomi Ishitoya, Shunta Nabaa, Basim Watanabe, Naofumi Yamaki, Toshihiro Takahashi, Koji Medicine (Baltimore) Research Article To determine the utility of low kilovoltage computed tomographic venography (CTV) for the detection of deep venous thrombus in the lower limbs. Twenty-one thrombi in 19 enrolled patients were investigated in this retrospective study. Patients were initially scanned using CTV at 100 kVp, at the femur level, followed by an immediate switch to 80 kVp. We assessed the CT values of thrombi and veins and performed subjective evaluation for detecting thrombi using a 5-point scoring system: 1, unable to evaluate due to noise or artifacts; 2, equivocal venous thrombus; 3, possible venous thrombus; 4, probable venous thrombus; and 5, definite venous thrombus. Venous density on 100-kVp images (mean ± SD [standard deviation]: 122 ± 23 HU, 95% confidence interval [CI]: 111–133 Hounsfield unit [HU]) was significantly lower than that on 80-kVp images (136 ± 24 HU, 95% CI: 125–147 HU, P < .001). There was no significant difference in thrombi between 100-kVp images (55 ± 14 HU, 95% CI: 49–61 HU) and 80-kVp images (57 ± 16, 95% CI: 50–64 HU, P = .168). The thrombus to vein ratio on 100-kVp images (0.47 ± 0.20, 95% CI: 0.39–0.56) was significantly higher than that on 80-kVp images (0.44 ± 0.16, 95% CI: 0.37–0.51, P = .048). The mean 5-point score was significantly higher on the 80-kVp images (4.76) than on the 100-kVp images (4.45, P = .016). Lower kilovoltage CTV significantly improved thrombotic to venous contrasts in the lower limbs. Wolters Kluwer Health 2018-02-09 /pmc/articles/PMC5944700/ /pubmed/29419670 http://dx.doi.org/10.1097/MD.0000000000009775 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-nc-sa/4.0 |
spellingShingle | Research Article Sasaki, Tomoaki Fujimoto, Yasuomi Ishitoya, Shunta Nabaa, Basim Watanabe, Naofumi Yamaki, Toshihiro Takahashi, Koji Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
title | Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
title_full | Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
title_fullStr | Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
title_full_unstemmed | Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
title_short | Improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
title_sort | improved detectability of thromboses of the lower limb using low kilovoltage computed tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944700/ https://www.ncbi.nlm.nih.gov/pubmed/29419670 http://dx.doi.org/10.1097/MD.0000000000009775 |
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