| 研究生: |
蔡宜珊 Tsai, Yi-Shan |
|---|---|
| 論文名稱: |
應用電阻抗斷層掃描系統分析慢性阻塞性肺疾病 The Application of Electrical Impedance Tomograph for Chronic Obstructive Pulmonary Disease Analysis |
| 指導教授: |
鄭國順
Cheng, Kuo-Sheng |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 生物醫學工程學系 Department of BioMedical Engineering |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 英文 |
| 論文頁數: | 49 |
| 中文關鍵詞: | 慢性阻塞性肺疾病 、電阻抗斷層影像 |
| 外文關鍵詞: | COPD, EIT |
| 相關次數: | 點閱:63 下載:11 |
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慢性阻塞性肺疾病,簡稱為COPD,為一種進行性、不可逆的肺部疾病,患者因為長期的肺部發炎導致呼吸道的阻塞,使氣體無法通暢的進出呼吸道,本研究應用電阻抗斷層成像技術,此項技術是一種基於生物組織電特性的醫學成像技術,它根據待測物內部的導電特性的不同,透過電極施加一個安全穩定的電流,經量測電極獲得電壓,得知待測物內部電阻抗的分佈,進一步重建出待測物內部斷層的影像,是一種非侵入式、沒有輻射線以及可以動態即時量測的肺部通氣的工具,量測COPD患者於進行肺量計檢查時及時的胸腔斷層影像,並經過數據分析觀察進行肺量計檢查時肺部內各區域的通氣速度、通氣量及通氣順序,進行定性比較,並利用時序不同,將流入與流出肺泡的氣體以不同顏色區分,藉以區辨局部肺部通氣狀況。同時蒐集呼吸困難評估量表 (The modified British Medical Research Council,簡稱mMRC)問卷、COPD評估測試問卷(COPD Assessment Test,簡稱CAT),於病歷系統中回溯個案於六個月內進行之胸腔電腦斷層影像,以利了解從電阻抗影像所得之成像變化是否與肺部組織變化、肺容量及患者日常生活中呼吸困難程度有關,根據其間之相關性,用於對不同亞型的患者進行分析。
Chronic obstructive pulmonary disease, referred to as COPD, is a progressive and irreversible lung disease. The patient's airway is blocked due to long-term lung inflammation, making it impossible for the air to enter and exit the airway smoothly. This study used electrical impedance tomography technology. The thoracic tomographic images, and the data analysis to observe the ventilation rate, ventilation volume and ventilation sequence of each area in the lung during the spirometer examination, make a qualitative comparison, and use the different time series to distinguish the gas flowing into and out of the alveoli with different colors . To distinguish the local lung ventilation. At the same time, the questionnaire were collected, and the chest CT images performed within six months of the case were retrospectively collected in the medical record system.
[1] A. Davies and C. Moores, "2 - STRUCTURE OF THE RESPIRATORY SYSTEM, RELATED TO FUNCTION," in The Respiratory System (Second Edition), A. Davies and C. Moores Eds.: Churchill Livingstone, 2010, pp. 11-28.
[2] J. Michael Jaeger, B. J. Titus, and R. S. Blank, "Essential Anatomy and Physiology of the Respiratory System and the Pulmonary Circulation," in Principles and Practice of Anesthesia for Thoracic Surgery, P. Slinger Ed. Cham: Springer International Publishing, 2019, pp. 65-92.
[3] N. A. Siddiqui, M. K. Mansour, and V. Nookala, "Bullous Emphysema," in StatPearls. Treasure Island (FL): StatPearls Publishing
Copyright © 2022, StatPearls Publishing LLC., 2022.
[4] L. Danaher, Bell, D. "Pulmonary emphysema." https://radiopaedia.org/articles/9187 (accessed.
[5] 蘇柏嵐 and 張漢煜, "死腔通氣:無效的呼吸!," (in 繁體中文), 內科學誌, vol. 26, no. 2, pp. 69-76, 2015, doi: 10.6314/jimt.2015.26(2).02.
[6] B. D. Kent, P. D. Mitchell, and W. T. McNicholas, "Hypoxemia in patients with COPD: cause, effects, and disease progression," (in English), Int. J. Chronic Obstr. Pulm. Dis., Review vol. 6, pp. 199-208, 2011, doi: 10.2147/copd.S10611.
[7] J. Vestbo et al., "Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease," American Journal of Respiratory and Critical Care Medicine, vol. 187, no. 4, pp. 347-365, 2013, doi: 10.1164/rccm.201204-0596PP.
[8] R. C. Langan and A. J. Goodbred, "Office spirometry: indications and interpretation," American family physician, vol. 101, no. 6, pp. 362-368, 2020.
[9] G. R. Washko, "Diagnostic imaging in COPD," (in eng), Semin Respir Crit Care Med, vol. 31, no. 3, pp. 276-85, Jun 2010, doi: 10.1055/s-0030-1254068.
[10] P. Whiting, N. Singatullina, and J. Rosser, "Computed tomography of the chest: I. Basic principles," BJA Education, vol. 15, no. 6, pp. 299-304, 2015, doi: 10.1093/bjaceaccp/mku063.
[11] S. Kumar, G. Liney, R. Rai, L. Holloway, D. Moses, and S. K. Vinod, "Magnetic resonance imaging in lung: a review of its potential for radiotherapy," (in eng), Br J Radiol, vol. 89, no. 1060, pp. 20150431-20150431, 2016, doi: 10.1259/bjr.20150431.
[12] I. Frerichs et al., "Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group," Thorax, vol. 72, no. 1, pp. 83-93, 2017.
[13] D. S. Holder, Electrical impedance tomography: methods, history and applications. CRC Press, 2004.
[14] Z. Sun, J. Ye, X. Zhang, J. Luo, X. Che, and R. Wu, "Progress and Application of Bioelectrical Impedance Measurement Methods," Zhongguo yi Liao qi xie za zhi= Chinese Journal of Medical Instrumentation, vol. 45, no. 3, pp. 296-300, 2021.
[15] S. Leonhardt and B. Lachmann, "Electrical impedance tomography: the holy grail of ventilation and perfusion monitoring?," (in eng), Intensive Care Med, vol. 38, no. 12, pp. 1917-29, Dec 2012, doi: 10.1007/s00134-012-2684-z.
[16] M. I. Eckhard Teschner, Steffen Leonhardt. Electrical Impedance Tomography: The realisation of regional ventilation monitoring
[17] G. Y. Jang et al., "Integrated EIT system for functional lung ventilation imaging," (in eng), Biomed Eng Online, vol. 18, no. 1, p. 83, Jul 25 2019, doi: 10.1186/s12938-019-0701-y.
[18] J. C. Richard et al., "Electrical impedance tomography compared to positron emission tomography for the measurement of regional lung ventilation: an experimental study," (in eng), Crit Care, vol. 13, no. 3, p. R82, 2009, doi: 10.1186/cc7900.
[19] J. A. Victorino et al., "Imbalances in regional lung ventilation: a validation study on electrical impedance tomography," (in eng), Am J Respir Crit Care Med, vol. 169, no. 7, pp. 791-800, Apr 1 2004, doi: 10.1164/rccm.200301-133OC.
[20] K. R. Dunster, M. E. Friese, J. F. Fraser, G. J. Galloway, G. J. Cowin, and A. Schibler, "Ventilation distribution in rats: Part 2--A comparison of electrical impedance tomography and hyperpolarised helium magnetic resonance imaging," (in eng), Biomed Eng Online, vol. 11, p. 68, Sep 11 2012, doi: 10.1186/1475-925x-11-68.
[21] V. Tomicic and R. Cornejo, "Lung monitoring with electrical impedance tomography: technical considerations and clinical applications," (in eng), J Thorac Dis, vol. 11, no. 7, pp. 3122-3135, Jul 2019, doi: 10.21037/jtd.2019.06.27.
[22] L. Gallardo Estrella et al., "Computed tomography quantification of tracheal abnormalities in COPD and their influence on airflow limitation," (in eng), Med Phys, vol. 44, no. 7, pp. 3594-3603, Jul 2017, doi: 10.1002/mp.12274.
[23] Z. Zhao, U. Müller-Lisse, I. Frerichs, R. Fischer, and K. Möller, "Regional airway obstruction in cystic fibrosis determined by electrical impedance tomography in comparison with high resolution CT," (in eng), Physiol Meas, vol. 34, no. 11, pp. N107-14, Nov 2013, doi: 10.1088/0967-3334/34/11/n107.
[24] L. Sang, Z. Zhao, Z. Lin, X. Liu, N. Zhong, and Y. Li, "A narrative review of electrical impedance tomography in lung diseases with flow limitation and hyperinflation: methodologies and applications," (in eng), Ann Transl Med, vol. 8, no. 24, p. 1688, Dec 2020, doi: 10.21037/atm-20-4984.
[25] D. Singh et al., "Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease: the GOLD science committee report 2019," (in eng), Eur Respir J, vol. 53, no. 5, May 2019, doi: 10.1183/13993003.00164-2019.
[26] S. Lehmann et al., "Global and regional lung function in cystic fibrosis measured by electrical impedance tomography," (in eng), Pediatr Pulmonol, vol. 51, no. 11, pp. 1191-1199, Nov 2016, doi: 10.1002/ppul.23444.
[27] B. Vogt, Z. Zhao, P. Zabel, N. Weiler, and I. Frerichs, "Regional lung response to bronchodilator reversibility testing determined by electrical impedance tomography in chronic obstructive pulmonary disease," American Journal of Physiology-Lung Cellular and Molecular Physiology, vol. 311, no. 1, pp. L8-L19, 2016, doi: 10.1152/ajplung.00463.2015.
[28] Z. Zhao, K. Möller, D. Steinmann, and J. Guttmann, "Global and local inhomogeneity indices of lung ventilation based on electrical impedance tomography," in 4th European Conference of the International Federation for Medical and Biological Engineering, 2009: Springer, pp. 256-259.
[29] C. Zhang et al., "Global and regional degree of obstruction determined by electrical impedance tomography in patients with obstructive ventilatory defect," (in eng), PLoS One, vol. 13, no. 12, p. e0209473, 2018, doi: 10.1371/journal.pone.0209473.
[30] S. Milne et al., "Time-based pulmonary features from electrical impedance tomography demonstrate ventilation heterogeneity in chronic obstructive pulmonary disease," J Appl Physiol (1985), vol. 127, no. 5, pp. 1441-1452, Nov 1 2019, doi: 10.1152/japplphysiol.00304.2019.
[31] I. Grygus, M. Maistruk, and W. Zukow, "Effect of physical therapy on respiratory function in patients with chronic obstructive pulmonary disease," Collegium Antropologicum, vol. 41, no. 3, pp. 255-261, 2017.
[32] W. Khan, A. Arsh, S. M. Hammad, S. A. Shah, S. Khan, and A. Haq, "Effectiveness of chest physical therapy in improving quality of life and reducing patient hospital stay in chronic obstructive pulmonary disease," Journal of the Dow University of Health Sciences (JDUHS), vol. 12, no. 2, pp. 38-41, 2018.
[33] E. Crisafulli and G. Sartori, "A shadow in the GOLD ABCD classification system: measurement of perception of symptoms in COPD," (in eng
por), J Bras Pneumol, vol. 47, no. 5, p. e20210389, Dec 1 2021, doi: 10.36416/1806-3756/e20210389.
[34] D. Langer et al., "Inspiratory muscle training reduces diaphragm activation and dyspnea during exercise in COPD," (in eng), J Appl Physiol (1985), vol. 125, no. 2, pp. 381-392, Aug 1 2018, doi: 10.1152/japplphysiol.01078.2017.
[35] Z. Zhao, R. Fischer, I. Frerichs, U. Müller-Lisse, and K. Möller, "Regional ventilation in cystic fibrosis measured by electrical impedance tomography," Journal of Cystic Fibrosis, vol. 11, no. 5, pp. 412-418, 2012.
[36] Y. K. Wu, W. L. Su, M. C. Yang, S. Y. Chen, C. W. Wu, and C. C. Lan, "Characterization Associated with the Frequent Severe Exacerbator Phenotype in COPD Patients," (in eng), Int J Chron Obstruct Pulmon Dis, vol. 16, pp. 2475-2485, 2021, doi: 10.2147/copd.S317177.
[37] I. Frerichs, L. Lasarow, C. Strodthoff, B. Vogt, Z. Zhao, and N. Weiler, "Spatial Ventilation Inhomogeneity Determined by Electrical Impedance Tomography in Patients With Chronic Obstructive Lung Disease," (in eng), Front Physiol, vol. 12, p. 762791, 2021, doi: 10.3389/fphys.2021.762791.