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Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software

OBJECTIVE: To confirm the feasibility and accuracy of the method for evaluating blood supply and embolization rate of liver cancer based on I-flow software through animal experiments and clinical study. METHODS: Rabbits underwent selective angiography under different perfusion conditions in the same...

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Autores principales: Li, Yong, Zhou, Feifan, Liu, Fang, Wang, Meng, Xing, Wenge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672766/
https://www.ncbi.nlm.nih.gov/pubmed/33174500
http://dx.doi.org/10.1177/1533033820970665
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author Li, Yong
Zhou, Feifan
Liu, Fang
Wang, Meng
Xing, Wenge
author_facet Li, Yong
Zhou, Feifan
Liu, Fang
Wang, Meng
Xing, Wenge
author_sort Li, Yong
collection PubMed
description OBJECTIVE: To confirm the feasibility and accuracy of the method for evaluating blood supply and embolization rate of liver cancer based on I-flow software through animal experiments and clinical study. METHODS: Rabbits underwent selective angiography under different perfusion conditions in the same kidney. The blood supply level was evaluated by I-flow software method. The results were analyzed for coefficient of variation. Thirty patients with liver cancer who underwent selective hepatic artery embolization were enrolled. The mathematical methods and 3 diagnostic specialists were used to evaluate the preoperative blood supply level and embolization rate. The results were recorded and the results were tested for consistency. RESULTS: Animal experiments confirmed that the blood supply level analysis method designed by the research team was consistent under different contrast conditions (including total contrast agent, contrast medium perfusion rate, and limiting pressure) (coefficient of variation: 8.55%). The mathematical calculation results of preoperative blood supply level and embolization ratio of liver cancer are consistent with the average value of visual judgment results of diagnostic experts. (Preoperative blood supply level: concordance coefficient = 0.284, P = 0.003; embolization ratio: concordance coefficient = 0.218, P = 0.011). CONCLUSION: Based on I-flow software, the mathematical calculation method designed by this research group can effectively estimate the preoperative blood supply level of liver cancer and the embolization rate of single vascular embolization treatment, which can provide reliable data support for embolization treatment of liver cancer.
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spelling pubmed-76727662020-11-24 Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software Li, Yong Zhou, Feifan Liu, Fang Wang, Meng Xing, Wenge Technol Cancer Res Treat Original Article OBJECTIVE: To confirm the feasibility and accuracy of the method for evaluating blood supply and embolization rate of liver cancer based on I-flow software through animal experiments and clinical study. METHODS: Rabbits underwent selective angiography under different perfusion conditions in the same kidney. The blood supply level was evaluated by I-flow software method. The results were analyzed for coefficient of variation. Thirty patients with liver cancer who underwent selective hepatic artery embolization were enrolled. The mathematical methods and 3 diagnostic specialists were used to evaluate the preoperative blood supply level and embolization rate. The results were recorded and the results were tested for consistency. RESULTS: Animal experiments confirmed that the blood supply level analysis method designed by the research team was consistent under different contrast conditions (including total contrast agent, contrast medium perfusion rate, and limiting pressure) (coefficient of variation: 8.55%). The mathematical calculation results of preoperative blood supply level and embolization ratio of liver cancer are consistent with the average value of visual judgment results of diagnostic experts. (Preoperative blood supply level: concordance coefficient = 0.284, P = 0.003; embolization ratio: concordance coefficient = 0.218, P = 0.011). CONCLUSION: Based on I-flow software, the mathematical calculation method designed by this research group can effectively estimate the preoperative blood supply level of liver cancer and the embolization rate of single vascular embolization treatment, which can provide reliable data support for embolization treatment of liver cancer. SAGE Publications 2020-11-11 /pmc/articles/PMC7672766/ /pubmed/33174500 http://dx.doi.org/10.1177/1533033820970665 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Li, Yong
Zhou, Feifan
Liu, Fang
Wang, Meng
Xing, Wenge
Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software
title Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software
title_full Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software
title_fullStr Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software
title_full_unstemmed Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software
title_short Experimental Study on Evaluation of Blood Supply Level and Embolization Ratio of Liver Cancer Based on I-Flow Software
title_sort experimental study on evaluation of blood supply level and embolization ratio of liver cancer based on i-flow software
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672766/
https://www.ncbi.nlm.nih.gov/pubmed/33174500
http://dx.doi.org/10.1177/1533033820970665
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