Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life

In order to explore the influence of intelligent imaging diagnosis systems on comprehensive nursing intervention for patients with late-stage lung cancer, the system uses ITK and VTK toolkit to realize image reading, display, image marking, and interactive functions. The optimal threshold method and...

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Autores principales:	Ruxia Guo, Hui Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/151d20c9a42c4036acb7ea1351c3476b
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spelling	oai:doaj.org-article:151d20c9a42c4036acb7ea1351c3476b2021-11-29T00:55:58ZAnalysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life1555-431710.1155/2021/6750934https://doaj.org/article/151d20c9a42c4036acb7ea1351c3476b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6750934https://doaj.org/toc/1555-4317In order to explore the influence of intelligent imaging diagnosis systems on comprehensive nursing intervention for patients with late-stage lung cancer, the system uses ITK and VTK toolkit to realize image reading, display, image marking, and interactive functions. The optimal threshold method and regional connectivity algorithm were used to segment the lung region, and then, the cavity filling algorithm and repair algorithm were used to repair the lung region. A variable ring filter was used to detect suspected shadows in the lungs. Finally, the classifier proposed in this paper is used to classify benign and malignant. The system has good sensitivity by detecting the images of real patients. 100 patients with advanced lung cancer were randomly divided into control group and nursing intervention group 50 cases each. Patients in the control group received routine radiotherapy and chemotherapy and routine nursing intervention. Patients in the nursing intervention group were given comprehensive nursing intervention on the basis of routine intervention in the control group for 2 consecutive months. Pittsburgh sleep quality index, pain degree, quality of life, and complications after intervention were compared between the 2 groups before and after intervention. The experimental results showed that the sleep quality, pain degree, quality of life, and complications in 2 groups were significantly improved after intervention (P<0.05), and the improvement degree in the nursing intervention group was higher than that in the control group (P<0.05). It is proved that comprehensive nursing intervention has a good effect on improving sleep quality, relieving physical pain, improving the quality of life, and reducing complications of lung cancer patients and can effectively improve the quality of life of lung cancer patients.Ruxia GuoHui WangHindawi-WileyarticleMedical technologyR855-855.5ENContrast Media & Molecular Imaging, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medical technology R855-855.5
spellingShingle	Medical technology R855-855.5 Ruxia Guo Hui Wang Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life
description	In order to explore the influence of intelligent imaging diagnosis systems on comprehensive nursing intervention for patients with late-stage lung cancer, the system uses ITK and VTK toolkit to realize image reading, display, image marking, and interactive functions. The optimal threshold method and regional connectivity algorithm were used to segment the lung region, and then, the cavity filling algorithm and repair algorithm were used to repair the lung region. A variable ring filter was used to detect suspected shadows in the lungs. Finally, the classifier proposed in this paper is used to classify benign and malignant. The system has good sensitivity by detecting the images of real patients. 100 patients with advanced lung cancer were randomly divided into control group and nursing intervention group 50 cases each. Patients in the control group received routine radiotherapy and chemotherapy and routine nursing intervention. Patients in the nursing intervention group were given comprehensive nursing intervention on the basis of routine intervention in the control group for 2 consecutive months. Pittsburgh sleep quality index, pain degree, quality of life, and complications after intervention were compared between the 2 groups before and after intervention. The experimental results showed that the sleep quality, pain degree, quality of life, and complications in 2 groups were significantly improved after intervention (P<0.05), and the improvement degree in the nursing intervention group was higher than that in the control group (P<0.05). It is proved that comprehensive nursing intervention has a good effect on improving sleep quality, relieving physical pain, improving the quality of life, and reducing complications of lung cancer patients and can effectively improve the quality of life of lung cancer patients.
format	article
author	Ruxia Guo Hui Wang
author_facet	Ruxia Guo Hui Wang
author_sort	Ruxia Guo
title	Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life
title_short	Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life
title_full	Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life
title_fullStr	Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life
title_full_unstemmed	Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life
title_sort	analysis of lung imaging intelligent diagnosis system for nursing intervention of lung cancer patients’ quality of life
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/151d20c9a42c4036acb7ea1351c3476b
work_keys_str_mv	AT ruxiaguo analysisoflungimagingintelligentdiagnosissystemfornursinginterventionoflungcancerpatientsqualityoflife AT huiwang analysisoflungimagingintelligentdiagnosissystemfornursinginterventionoflungcancerpatientsqualityoflife
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Analysis of Lung Imaging Intelligent Diagnosis System for Nursing Intervention of Lung Cancer Patients’ Quality of Life

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