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研究生: 林冠宏
Lin, Guan-Hung
論文名稱: 肝癌患者之認知神經功能、身體功能與健康相關生活品質關聯之探討
Investigation of Associations Between Neurocognitive Function, Physical Performance, and Health-Related Quality of Life in Hepatocellular Carcinoma Patients
指導教授: 王駿濠
Wang, Chun-Hao
郭欣瑜
Kuo, Shi-Yu
學位類別: 碩士
Master
系所名稱: 管理學院 - 體育健康與休閒研究所
Institute of Physical Education, Health & Leisure Studies
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 70
中文關鍵詞: 肝細胞癌認知功能身體功能測驗旁側抑制作業事件相關電位
外文關鍵詞: hepatocellular carcinoma, cognitive function, physical performance tests, Flanker task, event-related potential
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  • 研究背景:肝細胞癌 (Hepatocellular Carcinoma, HCC),又簡稱肝癌,是癌症死亡率全球排名第四的癌症,在臺灣也有著相當高的盛行及死亡率。肝癌除了會造成病理上的不適之外,也可能進一步導致患者身體功能急遽下降,甚至失能而造成生活無法自理或難以獨立應對生活日常所需要面對的挑戰。此外,HCC患者也常伴有認知功能衰退和心理健康問題,可能進一步影響其生活質量和治療結果。過去許多研究已證實較佳的身體功能與認知功能有關,然而HCC患者的身體功能、認知神經功能及健康相關生活品質之關聯性仍有待研究進一步釐清。
    研究目的:探討肝癌患者的認知神經功能、身體功能表現、健康相關生活品質以及其他病理、身體活動量之相關性。
    研究方法:本研究自國立成功大學醫學院附設醫院招募所有階段的肝細胞癌患者,並記錄其罹患疾病之時間、BCLC/ Child-Pugh分級、治療方法、治療階段等。當實驗參與者熟悉實驗流程且確認參與意願後,實驗參與者將依以下流程進行實驗:填寫中文版EORTC QLQ-C30、EORTC QLQ-HCC18健康相關生活品質問卷、IPAQ簡版問卷、MMSE簡易認知能力評估問卷、認知能力測驗flanker task並以事件相關電位N2、P3成分波加以分析探討。最後將依順序進行左右手握力、SPPB、TUG test、6公尺步態速度等身體功能測驗。而後以JASP統計軟體進行分析。本研究預期HCC患者的旁側抑制作業之行為表現與身體功能表現、健康相關生活品質之間具有顯著相關,且身體功能表現、健康相關生活品質得分與ERP成分波亦有所關聯。
    研究結果:本實驗將共計30位實驗參與者納入分析,參與者平均年齡為64.67歲 (SD = 10.33),年齡分布介於38~86歲實驗。其中參與者男性占比為86%、女性占比為14%。本研究發現SPPB與一致性任務情境之反應時間 (r = -0.514;p = .004)、反應時間標準差 (r = -0.457;p = .01)、不一致性任務情境之正確率 (r = 0.667;p < .001)、反應時間 (r = -0.563;p = .001)、反應時間標準差 (r = -0.548;p = .002),與旁側干擾之反應時間 (r = -0.405;p = .026) 及標準差 (r = -0.444;p = .014) 達顯著相關。而6公尺步態速度與一致性任務情境之正確率 (r = -0.425;p = .019)、反應時間 (r = 0.595;p <.001)、反應時間標準差 (r = 0.535;p = .002)、不一致性任務情境之正確率 (r = -0.533;p = .002)、反應時間(r = 0.640;p < .001)、反應時間標準差 (r = 0.621; p < .001),以及旁側干擾反應時間 (r = 0.446;p = .014) 及標準差 (r = 0.489;p = .006) 達顯著相關。在兩種任務情境中,N2潛時 (p = .002)、P3振幅 (p < .001) 及P3潛時 (p = .005) 有顯著情境間差異。此外,本研究進一步將HCC患者的身體功能、行為表現與成分波的旁側干擾情境間差異進行相關性探討,發現N2成分波之旁側干擾效應之振幅 (flanker effect of N2 amplitude) 對於6公尺步態速度與行為表現之旁側干擾效應的中介效果接近顯著 (coefficient = 12.08, 95% CI [-0.33, 30.58])。
    研究結論:本研究發現HCC患者的身體功能表現與意志控制這項認知能力有顯著正相關,亦即身體功能越好、認知能力越佳。此外,在ERP成分波的分析中,本研究發現HCC患者的旁側干擾情境間差異主要體現於P3成分波,顯示HCC患者在抑制控制這項認知能力的下降或許是與大腦較為後期的整體神經資源整合有關。本研究亦發現N2成分波之旁側干擾效應之振幅對於6公尺步態速度與行為表現之旁側干擾效應之間的關聯性有中介效果的趨勢,可做為未來研究與進一步探討HCC患者的認知退化腦神經機制方向。

    Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, especially in Taiwan, and is associated with impaired physical and cognitive function, affecting quality of life (QoL). This study examined the relationships among cognitive function, physical performance, and health-related QoL in HCC patients.
    Purpose: To investigate associations between motor function, cognitive performance, QoL, and neural activity in patients with HCC.
    Methods: Thirty HCC patients (mean age = 64.67 years) were recruited. Assessments included QoL questionnaires (EORTC QLQ-C30/HCC18), IPAQ, MMSE, Flanker task with ERP (N2, P3), and physical tests (grip strength, SPPB, TUG, gait speed). Correlation and mediation analyses were conducted.
    Results: SPPB scores were significantly associated with Flanker performance, including reaction time and accuracy across conditions (p < .05). Gait speed was similarly correlated with cognitive performance measures. ERP analysis revealed significant task-related differences in N2 latency (p = .002), P3 amplitude (p < .001), and P3 latency (p = .005). Mediation analysis suggested a potential role of N2 amplitude in linking gait speed to behavioral interference effects.
    Conclusion: Better physical function in HCC patients was strongly associated with enhanced inhibitory control. ERP findings highlight the P3 component as a neural marker of cognitive decline, while N2 amplitude may mediate motor-cognitive interactions. These results provide insight into the neurocognitive mechanisms underlying functional decline in HCC, supporting integrative approaches to patient care.

    中文摘要 I 英文摘要 III 目錄 VII 圖目錄 IX 致謝 X 第壹章 緒論 第一節 研究背景 1 第二節 研究目的 5 第三節 研究假設 6 第四節 名詞操作型定義 6 第貳章 文獻探討 第一節 肝癌簡介 9 第二節 健康相關生活品質問卷對肝癌患者的預後價值 9 第三節 肝癌與身體功能之間的關聯 10 第四節 肝癌患者的認知功能表現 11 第五節 抑制控制與事件相關電位 12 總結 13 第參章 研究方法 第一節 研究架構 14 第二節 研究流程 15 第三節 研究對象 15 第四節 研究工具與測驗方式 15 第五節 資料處理與分析 21 第肆章 結果 第一節 人口學變項 23 第二節 行為表現結果 24 第三節 行為表現與身體功能之相關性分析 24 第四節 健康相關生活品質與行為表現及身體功能之相關性分析 30 第五節 ERP成分波量化分析 30 第六節 平均腦電圖成分波 33 第七節 身體功能測驗與ERP量化結果之相關性分析 34 第八節 身體功能測驗與行為表現之中介變項分析 35 第伍章 討論 第一節 行為表現與身體功能測驗之關聯 36 第二節 健康相關生活品質問卷分析結果 38 第三節 ERP成分波量化分析結果 38 第四節 ERP成分波做為身體功能測驗與行為表現之中介變項分析 40 第陸章 結論與建議 第一節 研究結論 41 第二節 研究限制 41 第三節 未來展望 42 附錄 44 參考文獻 一、中文文獻 50 二、外文文獻 50

    一、中文文獻
    巫翰明、張鈺珮、林益卿 & 楊佩玉 (2021)。肌少症篩檢及診斷2019最新標準。家庭醫學與基層醫療,36(1),9-14。https://www.airitilibrary.com/Article/Detail?DocID=P20090727001-202101-202101280013-202101280013-9-14
    林志陵 & 高嘉宏 (2008)。肝癌的流行病學。中華民國癌症醫學會雜誌,24(5),277-281。https://doi.org/10.6588/JCOS.2008.24.5.1
    劉鐘軒、蔡正中 & 陳海雄 (2013)。肝癌的診斷及治療最新發展。內科學誌,24(2),85-94。https://doi.org/10.6314/JIMT.2013.24(2).02
    賴慧倫 & 林淑媛 (2007)。肝癌非手術治療與其護理。嘉基護理,7(1),1-7。https://doi.org/10.29936/DMFCCHJN.200705.0001

    二、外文文獻
    Atkinson, H. H., Rosano, C., Simonsick, E. M., Williamson, J. D., Davis, C., Ambrosius, W. T., Rapp, S. R., Cesari, M., Newman, A. B., & Harris, T. B. (2007). Cognitive function, gait speed decline, and comorbidities: The health, aging and body composition study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 62(8), 844–850. https://doi.org/10.1093/gerona/62.8.844
    Asanowicz, D., Panek, B., & Kotlewska, I. (2021). Selection for action: The medial frontal cortex is an executive hub for stimulus and response selection. Journal of Cognitive Neuroscience, 33(8), 1442-1469. https://doi.org/10.1162/jocn_a_01727
    Ayan, C., Cancela, J., Gutiérrez, A., & Prieto, I. (2013). Influence of the cognitive impairment level on the performance of the Timed “Up & Go” Test (TUG) in elderly institutionalized people. Archives of Gerontology and Geriatrics, 56(1), 44–49. https://doi.org/10.1016/j.archger.2012.06.005
    Bartholow, B. D., Pearson, M. A., Dickter, C. L., Sher, K. J., Fabiani, M., & Gratton, G. (2005). Strategic control and medial frontal negativity: Beyond errors and response conflict. Psychophysiology, 42(1), 33–42. https://doi.org/10.1111/j.1469-8986.2004.00261.x
    Biasiucci, A., Franceschiello, B., & Murray, M. M. (2019). Electroencephalography. Current Biology, 29(3), R80–R85. https://doi.org/10.1016/j.cub.2018.11.052
    Büchel, D., Gokeler, A., Heuvelmans, P., & Baumeister, J. (2022). Increased cognitive demands affect agility performance in female athletes—Implications for testing and training of agility in team ball sports. Perceptual and Motor Skills, 129(4), 1074–1088. https://doi.org/10.1177/00315125221084068
    Chang, K.-V., Chen, J.-D., Wu, W.-T., Huang, K.-C., Hsu, C.-T., & Han, D.-S. (2018). Association between loss of skeletal muscle mass and mortality and tumor recurrence in hepatocellular carcinoma: A systematic review and meta-analysis. Liver Cancer, 7(1), 90–103. https://doi.org/10.1159/000484773
    Chapman, B., Louis, C. C., Moser, J., Grunfeld, E. A., & Derakshan, N. (2023). Benefits of adaptive cognitive training on cognitive abilities in women treated for primary breast cancer: Findings from a 1‐year randomised control trial intervention. Psycho‐Oncology, 32(12), 1848–1857. https://doi.org/10.1002/pon.6265
    Chaudhary, S., Roy, A., Summers, C., Ahles, T., Li, C.-S. R., & Chao, H. H. (2022). Effects of androgen deprivation on white matter integrity and processing speed in prostate cancer patients. American Journal of Cancer Research, 12(10), 4802. https://pmc.ncbi.nlm.nih.gov/articles/PMC9641391/
    Coxon, J. P., Goble, D. J., Leunissen, I., Van Impe, A., Wenderoth, N., & Swinnen, S. P. (2016). Functional brain activation associated with inhibitory control deficits in older adults. Cerebral Cortex, 26(1), 12–22. https://doi.org/10.1093/cercor/bhu195
    Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750
    Dietrich, J., Monje, M., Wefel, J., & Meyers, C. (2008). Clinical patterns and biological correlates of cognitive dysfunction associated with cancer therapy. The oncologist, 13(12), 1285-1295. https://doi.org/10.1634/theoncologist.2008-0130
    DiJoseph, K., Thorp, A., Harrington, A., Schmitz, K. H., Chinchilli, V. M., & Stine, J. G. (2023). Physical activity and risk of hepatocellular carcinoma: A systematic review and meta-analysis. Digestive Diseases and Sciences, 68(3), 1051–1059. https://doi.org/10.1007/s10620-022-07686-4
    Evans, E. S., Little, J., McNeill, K. T., Poole, C., Ramos, T., Hall, E. E., Overman, A. A., & Bailey, S. P. (2018). Comparison of Objective and Subjective Measures of Cognitive Function in Women with and without a History of Breast Cancer. The FASEB Journal, 32, 877.812–877.812. https://doi.org/10.1096/fasebj.2018.32.1_supplement.877.12
    Fan, S. Y., Eiser, C., & Ho, M. C. (2010). Health-related quality of life in patients with hepatocellular carcinoma: A systematic review. Clinical Gastroenterology and Hepatology, 8(7), 559–564.e510. https://doi.org/10.1016/j.cgh.2010.03.018
    Fritz, S., & Lusardi, M. M. (2009). White paper: “Walking speed: The sixth vital sign”. Journal of Geriatric Physical Therapy, 32(2), 2–5. https://journals.lww.com/jgpt/Fulltext/2009/32020/White_Paper__Walking_Speed__The_Sixth_Vital_Sign.2.aspx
    Groom, M. J., & Cragg, L. (2015). Differential modulation of the N2 and P3 event-related potentials by response conflict and inhibition. Brain and Cognition, 97, 1–9. https://doi.org/10.1016/j.bandc.2015.03.009
    Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., Scherr, P. A., & Wallace, R. B. (1994). A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. Journal of Gerontology, 49(2), M85–M94. https://doi.org/10.1093/geronj/49.2.M85
    Huster, R. J., Eichele, T., Enriquez-Geppert, S., Wollbrink, A., Kugel, H., Konrad, C., & Pantev, C. (2011). Multimodal imaging of functional networks and event-related potentials in performance monitoring. NeuroImage, 56(3), 1588–1597. https://doi.org/10.1016/j.neuroimage.2011.03.059
    Jamali, T., Raasikh, T., Bustamante, G., Sisson, A., Tandon, P., Duarte-Rojo, A., & Hernaez, R. (2022). Outcomes of exercise interventions in patients with advanced liver disease: A systematic review of randomized clinical trials. Official Journal of the American College of Gastroenterology| ACG, 117(10), 1614–1620. https://doi.org/10.14309/ajg.0000000000001847
    Janelsins, M. C., Kesler, S. R., Ahles, T. A., & Morrow, G. R. (2014). Prevalence, mechanisms, and management of cancer-related cognitive impairment. International review of psychiatry, 26(1), 102-113. https://doi.org/10.3109/09540261.2013.864260
    Kok, A. (2001). On the utility of P3 amplitude as a measure of processing capacity. Psychophysiology, 38(3), 557–577. https://doi.org/10.1111/1469-8986.3830557
    Kopp, B., Rist, F., & Mattler, U. (1996). N200 in the flanker task as a neurobehavioral tool for investigating executive control. Psychophysiology, 33(3), 282–294. https://doi.org/10.1111/j.1469-8986.1996.tb02138.x
    Li, L., Mo, F. K., Chan, S. L., Hui, E. P., Tang, N. S., Koh, J., Leung, L. K., Poon, A. N., Hui, J., & Chu, C. M. (2017). Prognostic values of EORTC QLQ-C30 and QLQ-HCC18 index-scores in patients with hepatocellular carcinoma–clinical application of health-related quality-of-life data. BMC Cancer, 17, 1–11. https://doi.org/10.1186/s12885-017-3710-8
    Lustig, C., Hasher, L., & Zacks, R. T. (2007). Inhibitory deficit theory: Recent developments in a "new view". https://doi.org/10.1037/11587-008
    Marcantei, C., Couret, A., King, J., Mazeaud, S., Armand, A., & Ennequin, G. (2024). Effects of Exercise Training on Muscle Mass and Physical Function in Patients with Hepatocellular Carcinoma After Diagnosis: A Systematic Review. Digestive Diseases and Sciences, 1–14. https://doi.org/10.1007/s10620-024-08291-9
    Marrero, J. A., Kulik, L. M., Sirlin, C. B., Zhu, A. X., Finn, R. S., Abecassis, M. M., Roberts, L. R., & Heimbach, J. K. (2018). Diagnosis, S taging, and M anagement of H epatocellular C arcinoma: 2018 P ractice G uidance by the A merican A ssociation for the S tudy of L iver D iseases. Hepatology, 68(2), 723-750. https://doi.org/10.1002/hep.29913
    McGough, E. L., Kelly, V. E., Logsdon, R. G., McCurry, S. M., Cochrane, B. B., Engel, J. M., & Teri, L. (2011). Associations between physical performance and executive function in older adults with mild cognitive impairment: Gait speed and the timed “up & go” test. Physical Therapy, 91(8), 1198–1207. https://doi.org/10.2522/ptj.20100314
    Medrano, F. (2024). Flanker Task Performance in Young and Older Adults: A Behavioral and ERP Study. https://academicworks.cuny.edu/gc_etds/5841
    Mirelman, A., Weiss, A., Buchman, A. S., Bennett, D. A., Giladi, N., & Hausdorff, J. M. (2014). Association between performance on Timed Up and Go subtasks and mild cognitive impairment: Further insights into the links between cognitive and motor function. Journal of the American Geriatrics Society, 62(4), 673–678. https://doi.org/10.1111/jgs.12758
    Morley, J. E., Morris, J. C., Berg-Weger, M., Borson, S., Carpenter, B. D., Del Campo, N., Dubois, B., Fargo, K., Fitten, L. J., & Flaherty, J. H. (2015). Brain health: The importance of recognizing cognitive impairment: An IAGG consensus conference. Journal of the American Medical Directors Association, 16(9), 731–739. https://doi.org/10.1016/j.jamda.2015.06.016
    Oh, J. H., & Jun, D. W. (2023). The latest global burden of liver cancer: A past and present threat. Clinical and Molecular Hepatology, 29(2), 355. https://doi.org/10.3350/cmh.2023.0078
    Pavasini, R., Guralnik, J., Brown, J. C., Di Bari, M., Cesari, M., Landi, F., Vaes, B., Legrand, D., Verghese, J., & Wang, C. (2016). Short physical performance battery and all-cause mortality: Systematic review and meta-analysis. BMC Medicine, 14, 1–9. https://doi.org/10.1186/s12916-016-0645-x
    Peel, N. M., Alapatt, L. J., Jones, L. V., & Hubbard, R. E. (2019). The association between gait speed and cognitive status in community-dwelling older people: A systematic review and meta-analysis. The Journals of Gerontology: Series A, 74(6), 943–948. https://doi.org/10.1093/gerona/gly168
    Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Miller, G. A., Ritter, W., Ruchkin, D., & Rugg, M. (2000). Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria. Psychophysiology, 37(2), 127–152. https://doi.org/10.1111/1469-8986.3720127
    Pires, L., Leitão, J., Guerrini, C., & Simões, M. R. (2014). Event-related brain potentials in the study of inhibition: Cognitive control, source localization and age-related modulations. Neuropsychology Review, 24, 461–490. https://doi.org/10.1007/s11065-014-9274-z
    Polich, J. (2007). Updating P300: An integrative theory of P3a and P3. Clinical Neurophysiology, 118(10), 2128–2148. https://doi.org/10.1016/j.clinph.2007.03.034
    Prakash, R., & Mullen, K. D. (2010). Mechanisms, diagnosis and management of hepatic encephalopathy. Nature Reviews Gastroenterology & Hepatology, 7(9), 515–525. https://doi.org/10.1038/nrgastro.2010.114
    Revoredo, S., & Del Fabbro, E. (2023). Hepatocellular carcinoma and sarcopenia: A narrative review. Annals of Palliative Medicine, 12(6), 1295309–1291309. https://doi.org/10.21037/apm-23-272
    Ridderinkhof, K. R., Wylie, S. A., van den Wildenberg, W. P., Bashore, T. R., & van der Molen, M. W. (2021). The arrow of time: Advancing insights into action control from the arrow version of the Eriksen flanker task. Attention, Perception, & Psychophysics, 83, 700–721. https://doi.org/10.3758/s13414-020-02165-6
    Simó, M., Gurtubay-Antolin, A., Vaquero, L., Bruna, J., & Rodríguez-Fornells, A. (2018). Performance monitoring in lung cancer patients pre-and post-chemotherapy using fine-grained electrophysiological measures. NeuroImage: Clinical, 18, 86–96. https://doi.org/10.1016/j.nicl.2017.11.027
    Sternby Eilard, M., Hagström, H., Mortensen, K. E., Wilsgaard, T., Vagnildhaug, O. M., Dajani, O., Stål, P., & Rizell, M. (2018). Quality of life as a prognostic factor for survival in hepatocellular carcinoma. Liver International, 38(5), 885–894. https://doi.org/10.1111/liv.13583
    Tan, D. J. H., Quek, S. X. Z., Yong, J. N., Suresh, A., Koh, K. X. M., Lim, W. H., Quek, J., Tang, A., Tan, C., & Nah, B. (2022). Global prevalence of depression and anxiety in patients with hepatocellular carcinoma: Systematic review and meta-analysis. Clinical and Molecular Hepatology, 28(4), 864. https://doi.org/10.3350/cmh.2022.0191
    Tanaka, S., & Tatematsu, N. (2023). Sarcopenia and Physical Performance in Patients with Cancer. In Physical Therapy and Research in Patients with Cancer (pp. 513–533). Springer. https://doi.org/10.1007/978-981-19-9481-9_24
    Tillman, C. M., & Wiens, S. (2011). Behavioral and ERP indices of response conflict in Stroop and flanker tasks. Psychophysiology, 48(10), 1405–1411. https://doi.org/10.1111/j.1469-8986.2011.01210.x
    Van Veen, V., & Carter, C. S. (2002). The anterior cingulate as a conflict monitor: fMRI and ERP studies. Physiology & behavior, 77(4-5), 477-482. https://doi.org/10.1016/S0031-9384(02)00930-7
    Verweij, N. M., Schiphorst, A. H., Pronk, A., van den Bos, F., & Hamaker, M. E. (2016). Physical performance measures for predicting outcome in cancer patients: A systematic review. Acta Oncologica, 55(12), 1386–1391. https://doi.org/10.1080/0284186X.2016.1215456
    Wang, C.-H., Yang, C.-T., Moreau, D., & Muggleton, N. G. (2017). Motor expertise modulates neural oscillations and temporal dynamics of cognitive control. NeuroImage, 158, 260–270. https://doi.org/10.1016/j.neuroimage.2017.07.039
    Welch, S. A., Ward, R. E., Beauchamp, M. K., Leveille, S. G., Travison, T., & Bean, J. F. (2021). The Short Physical Performance Battery (SPPB): A quick and useful tool for fall risk stratification among older primary care patients. Journal of the American Medical Directors Association, 22(8), 1646–1651. https://doi.org/10.1016/j.jamda.2021.03.023
    Western, M. J., & Malkowski, O. S. (2022). Associations of the short physical performance battery (SPPB) with adverse health outcomes in older adults: A 14-year follow-up from the English longitudinal study of ageing (ELSA). International Journal of Environmental Research and Public Health, 19(23), 16319. https://doi.org/10.3390/ijerph192316319
    Wild-Wall, N., Falkenstein, M., & Hohnsbein, J. (2008). Flanker interference in young and older participants as reflected in event-related potentials. Brain Research, 1211, 72–84. https://doi.org/10.1016/j.brainres.2008.03.020
    Zhao, J., Xu, L., Sun, J., Song, M., Wang, L., Yuan, S., Zhu, Y., Wan, Z., Larsson, S. C., & Tsilidis, K. K. (2023). The global trends in incidence, death, burden and risk factors of early-onset cancer from 1990 to 2019. BMJ Oncology, 2, e000049. https://doi.org/10.1136/bmjoncology-2023-000049

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