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  1. NTU Theses and Dissertations Repository
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  3. 流行病學與預防醫學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99915
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor郭柏秀zh_TW
dc.contributor.advisorPo-Hsiu Kuoen
dc.contributor.author林傳益zh_TW
dc.contributor.authorChuan-Yi Linen
dc.date.accessioned2025-09-19T16:17:11Z-
dc.date.available2025-09-20-
dc.date.copyright2025-09-19-
dc.date.issued2025-
dc.date.submitted2025-07-29-
dc.identifier.citation1. Wei WI, Sham JS. Nasopharyngeal carcinoma. Lancet. 2005;365(9476):2041-2054.
2. Huang WB, Chan JYW, Liu DL. Human papillomavirus and World Health Organization type III nasopharyngeal carcinoma: Multicenter study from an endemic area in Southern China. Cancer. 2018;124(3):530-536.
3. Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74(3):229-263.
4. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394-424.
5. Chen YP, Chan ATC, Le QT, Blanchard P, Sun Y, Ma J. Nasopharyngeal carcinoma. Lancet. 2019;394(10192):64-80.
6. Health Promotion Administration MoHaW. Taiwan Cancer Registry Annual Report.2021. 2021.
7. Lee CC, Su YC, Ho HC, et al. Increased risk of ischemic stroke in young nasopharyngeal carcinoma patients. Int J Radiat Oncol Biol Phys. 2011;81(5):e833-838.
8. Blanchard P, Lee A, Marguet S, et al. Chemotherapy and radiotherapy in nasopharyngeal carcinoma: an update of the MAC-NPC meta-analysis. Lancet Oncol. 2015;16(6):645-655.
9. Caudell JJ, Gillison ML, Maghami E, et al. NCCN Guidelines® Insights: Head and Neck Cancers, Version 1.2022. J Natl Compr Canc Netw. 2022;20(3):224-234.
10. Huang WY, Lin CL, Lin CY, et al. Survival outcome of patients with nasopharyngeal carcinoma: a nationwide analysis of 13 407 patients in Taiwan. Clin Otolaryngol. 2015;40(4):327-334.
11. Lee CC, Huang TT, Lee MS, et al. Survival rate in nasopharyngeal carcinoma improved by high caseload volume: a nationwide population-based study in Taiwan. Radiat Oncol. 2011;6:92.
12. Ng WT, Tsang RKY, Beitler JJ, et al. Contemporary management of the neck in nasopharyngeal carcinoma. Head Neck. 2021;43(6):1949-1963.
13. Lin F, Qiu Z, Xie D, et al. Distribution of regional lymph lode metastasis in unilateral nasopharyngeal carcinoma and the suggestions for selective prophylactic irradiation with intensity-modulated radiotherapy. Cancer Med. 2023;12(21):20511-20520.
14. Au KH, Ngan RKC, Ng AWY, et al. Treatment outcomes of nasopharyngeal carcinoma in modern era after intensity modulated radiotherapy (IMRT) in Hong Kong: A report of 3328 patients (HKNPCSG 1301 study). Oral Oncol. 2018;77:16-21.
15. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2133-2161.
16. Fan J, Li X, Yu X, et al. Global Burden, Risk Factor Analysis, and Prediction Study of Ischemic Stroke, 1990-2030. Neurology. 2023;101(2):e137-e150.
17. Yeh TL, Hsieh CT, Hsu HY, et al. The Risk of Ischemic Stroke in Head and Neck Cancer Patients and Those Who Were Treated with Radiotherapy: A Population-Based Cohort Study. Cancer Epidemiol Biomarkers Prev. 2022;31(5):1111-1118.
18. He QS, Wang ZP, Li ZJ, et al. Increased risk of cerebrovascular mortality in head and neck cancer survivors aged ≥ 65 years treated with definitive radiotherapy: a population-based cohort study. Radiat Oncol. 2021;16(1):185.
19. Huang YS, Lee CC, Chang TS, et al. Increased risk of stroke in young head and neck cancer patients treated with radiotherapy or chemotherapy. Oral Oncol. 2011;47(11):1092-1097.
20. Katayama I, Hotokezaka Y, Matsuyama T, Sumi T, Nakamura T. Ionizing radiation induces macrophage foam cell formation and aggregation through JNK-dependent activation of CD36 scavenger receptors. Int J Radiat Oncol Biol Phys. 2008;70(3):835-846.
21. Witte L, Fuks Z, Haimovitz-Friedman A, Vlodavsky I, Goodman DS, Eldor A. Effects of irradiation on the release of growth factors from cultured bovine, porcine, and human endothelial cells. Cancer Res. 1989;49(18):5066-5072.
22. Moritz MW, Higgins RF, Jacobs JR. Duplex imaging and incidence of carotid radiation injury after high-dose radiotherapy for tumors of the head and neck. Arch Surg. 1990;125(9):1181-1183.
23. Dubec JJ, Munk PL, Tsang V, et al. Carotid artery stenosis in patients who have undergone radiation therapy for head and neck malignancy. Br J Radiol. 1998;71(848):872-875.
24. Akhavan A, Farghadani M, Emami H, Naderi Beni Z, Naderi Beni A. Effects of Neck Radiation on Result of Doppler Sonography of Carotid Arteries in Head and Neck Cancer Patients. J Stroke Cerebrovasc Dis. 2021;30(4):105607.
25. Texakalidis P, Giannopoulos S, Tsouknidas I, et al. Prevalence of carotid stenosis following radiotherapy for head and neck cancer: A systematic review and meta-analysis. Head Neck. 2020;42(5):1077-1088.
26. Liang H, Zhou Y, Xiong W, Zheng S. Impact of radiotherapy for nasopharyngeal carcinoma on carotid stenosis risk: a meta-analysis. Braz J Otorhinolaryngol. 2022;88 Suppl 4(Suppl 4):S98-s107.
27. Lam WW, Leung SF, So NM, et al. Incidence of carotid stenosis in nasopharyngeal carcinoma patients after radiotherapy. Cancer. 2001;92(9):2357-2363.
28. Zhou L, Xing P, Chen Y, Xu X, Shen J, Lu X. Carotid and vertebral artery stenosis evaluated by contrast-enhanced MR angiography in nasopharyngeal carcinoma patients after radiotherapy: a prospective cohort study. Br J Radiol. 2015;88(1050):20150175.
29. Fairhead JF, Rothwell PM. The need for urgency in identification and treatment of symptomatic carotid stenosis is already established. Cerebrovasc Dis. 2005;19(6):355-358.
30. Chen MC, Kuan FC, Huang SF, et al. Accelerated Risk of Premature Ischemic Stroke in 5-Year Survivors of Nasopharyngeal Carcinoma. Oncologist. 2019;24(9):e891-e897.
31. Libby P. The changing landscape of atherosclerosis. Nature. 2021;592(7855):524-533.
32. Libby P, Hansson GK. From Focal Lipid Storage to Systemic Inflammation: JACC Review Topic of the Week. J Am Coll Cardiol. 2019;74(12):1594-1607.
33. Ketelhuth DF, Hansson GK. Adaptive Response of T and B Cells in Atherosclerosis. Circ Res. 2016;118(4):668-678.
34. Qureshi AI, Alexandrov AV, Tegeler CH, Hobson RW, 2nd, Dennis Baker J, Hopkins LN. Guidelines for screening of extracranial carotid artery disease: a statement for healthcare professionals from the multidisciplinary practice guidelines committee of the American Society of Neuroimaging; cosponsored by the Society of Vascular and Interventional Neurology. J Neuroimaging. 2007;17(1):19-47.
35. de Weerd M, Greving JP, Hedblad B, et al. Prevalence of asymptomatic carotid artery stenosis in the general population: an individual participant data meta-analysis. Stroke. 2010;41(6):1294-1297.
36. Song P, Fang Z, Wang H, et al. Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta-analysis, and modelling study. Lancet Glob Health. 2020;8(5):e721-e729.
37. de Weerd M, Greving JP, de Jong AW, Buskens E, Bots ML. Prevalence of asymptomatic carotid artery stenosis according to age and sex: systematic review and metaregression analysis. Stroke. 2009;40(4):1105-1113.
38. Woo SY, Joh JH, Han SA, Park HC. Prevalence and risk factors for atherosclerotic carotid stenosis and plaque: A population-based screening study. Medicine (Baltimore). 2017;96(4):e5999.
39. Paraskevas KI, Eckstein HH, Mikhailidis DP, Veith FJ, Spence JD. Rationale for screening selected patients for asymptomatic carotid artery stenosis. Curr Med Res Opin. 2020;36(3):361-365.
40. Derdeyn CP, Powers WJ, Moran CJ, Cross DT, 3rd, Allen BT. Role of Doppler US in screening for carotid atherosclerotic disease. Radiology. 1995;197(3):635-643.
41. Scoutt LM, Gunabushanam G. Carotid Ultrasound. Radiol Clin North Am. 2019;57(3):501-518.
42. Grant EG, Benson CB, Moneta GL, et al. Carotid artery stenosis: gray-scale and Doppler US diagnosis--Society of Radiologists in Ultrasound Consensus Conference. Radiology. 2003;229(2):340-346.
43. Gelosa P, Cimino M, Pignieri A, Tremoli E, Guerrini U, Sironi L. The role of HMG-CoA reductase inhibition in endothelial dysfunction and inflammation. Vasc Health Risk Manag. 2007;3(5):567-577.
44. Oesterle A, Laufs U, Liao JK. Pleiotropic Effects of Statins on the Cardiovascular System. Circ Res. 2017;120(1):229-243.
45. Kim JH, Jenrow KA, Brown SL. Mechanisms of radiation-induced normal tissue toxicity and implications for future clinical trials. Radiat Oncol J. 2014;32(3):103-115.
46. Greenwood J, Mason JC. Statins and the vascular endothelial inflammatory response. Trends Immunol. 2007;28(2):88-98.
47. Davignon J, Jacob RF, Mason RP. The antioxidant effects of statins. Coron Artery Dis. 2004;15(5):251-258.
48. Addison D, Lawler PR, Emami H, et al. Incidental Statin Use and the Risk of Stroke or Transient Ischemic Attack after Radiotherapy for Head and Neck Cancer. J Stroke. 2018;20(1):71-79.
49. Boulet J, Peña J, Hulten EA, et al. Statin Use and Risk of Vascular Events Among Cancer Patients After Radiotherapy to the Thorax, Head, and Neck. J Am Heart Assoc. 2019;8(13):e005996.
50. Bourguillon RO, Stokes WA, Dorth J, Schmitt NC. Repurposing Statin Drugs to Decrease Toxicity and Improve Survival Outcomes in Head and Neck Cancer. OTO Open. 2021;5(4):2473974x211065715.
51. AbuRahma AF, Avgerinos ED, Chang RW, et al. Society for Vascular Surgery clinical practice guidelines for management of extracranial cerebrovascular disease. J Vasc Surg. 2022;75(1s):4s-22s.
52. Chiang CJ, You SL, Chen CJ, Yang YW, Lo WC, Lai MS. Quality assessment and improvement of nationwide cancer registration system in Taiwan: a review. Jpn J Clin Oncol. 2015;45(3):291-296.
53. Lin KC, Chen TM, Yuan KS, Wu ATH, Wu SY. Assessment of Predictive Scoring System for 90-Day Mortality Among Patients With Locally Advanced Head and Neck Squamous Cell Carcinoma Who Have Completed Concurrent Chemoradiotherapy. JAMA Netw Open. 2020;3(3):e1920671.
54. Hsing AW, Ioannidis JP. Nationwide Population Science: Lessons From the Taiwan National Health Insurance Research Database. JAMA Intern Med. 2015;175(9):1527-1529.
55. Hsieh CY, Su CC, Shao SC, et al. Taiwan's National Health Insurance Research Database: past and future. Clin Epidemiol. 2019;11:349-358.
56. Zhang Y, Chen L, Hu GQ, et al. Final Overall Survival Analysis of Gemcitabine and Cisplatin Induction Chemotherapy in Nasopharyngeal Carcinoma: A Multicenter, Randomized Phase III Trial. J Clin Oncol. 2022;40(22):2420-2425.
57. Zhang Y, Chen L, Hu GQ, et al. Gemcitabine and Cisplatin Induction Chemotherapy in Nasopharyngeal Carcinoma. N Engl J Med. 2019;381(12):1124-1135.
58. Schachter M. Chemical, pharmacokinetic and pharmacodynamic properties of statins: an update. Fundam Clin Pharmacol. 2005;19(1):117-125.
59. ROSENBAUM PR, RUBIN DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41-55.
60. Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res. 2011;46(3):399-424.
61. Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015;34(28):3661-3679.
62. Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550-560.
63. Fine JP, Gray RJ. A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association. 1999;94(446):496-509.
64. Collignon O, Monnez J-M. Clustering of the values of a response variable and simultaneous covariate selection using a stepwise algorithm. Applied Mathematics. 2016;7(15):1639-1648.
65. Fernandez-Felix BM, García-Esquinas E, Muriel A, Royuela A, Zamora J. Bootstrap internal validation command for predictive logistic regression models. The Stata Journal. 2021;21(2):498-509.
66. Pencina MJ, D'Agostino RB, Sr. Evaluating Discrimination of Risk Prediction Models: The C Statistic. Jama. 2015;314(10):1063-1064.
67. Gerds TA, Cai T, Schumacher M. The performance of risk prediction models. Biom J. 2008;50(4):457-479.
68. Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology. 2010;21(1):128-138.
69. Pepe MS, Feng Z, Huang Y, et al. Integrating the predictiveness of a marker with its performance as a classifier. Am J Epidemiol. 2008;167(3):362-368.
70. Huang Y, Sullivan Pepe M, Feng Z. Evaluating the predictiveness of a continuous marker. Biometrics. 2007;63(4):1181-1188.
71. Ding X, Cui X, Cui X, Wang S. Efficacy and toxicities of elective upper-neck irradiation versus whole-neck irradiation of the uninvolved neck in patients with nasopharyngeal carcinoma: A meta-analysis. Radiother Oncol. 2023;188:109860.
72. Tang LL, Huang CL, Zhang N, et al. Elective upper-neck versus whole-neck irradiation of the uninvolved neck in patients with nasopharyngeal carcinoma: an open-label, non-inferiority, multicentre, randomised phase 3 trial. Lancet Oncol. 2022;23(4):479-490.
73. Weng JJ, Wei JZ, Li M, et al. Prognostic value of hypothyroidism in patients undergoing intensity-modulated radiation therapy for nasopharyngeal carcinoma. Head Neck. 2022;44(5):1114-1123.
74. Lee CC, Ho CY. Post-treatment late complications of nasopharyngeal carcinoma. Eur Arch Otorhinolaryngol. 2012;269(11):2401-2409.
75. Wang X, Sun W. Radiotherapy-induced bilateral hypoglossal nerve palsy with xerostomia and xerophthalmia. Oral Oncol. 2022;133:106022.
76. Chow JCH, Cheung KM, Au KH, et al. Radiation-induced hypoglossal nerve palsy after definitive radiotherapy for nasopharyngeal carcinoma: Clinical predictors and dose-toxicity relationship. Radiother Oncol. 2019;138:93-98.
77. Lee AW, Lin JC, Ng WT. Current management of nasopharyngeal cancer. Semin Radiat Oncol. 2012;22(3):233-244.
78. Lee AW, Ng WT, Pan JJ, et al. International guideline for the delineation of the clinical target volumes (CTV) for nasopharyngeal carcinoma. Radiother Oncol. 2018;126(1):25-36.
79. Chen YH, Luo SD, Wu SC, et al. Clinical Characteristics and Predictive Outcomes of Recurrent Nasopharyngeal Carcinoma-A Lingering Pitfall of the Long Latency. Cancers (Basel). 2022;14(15).
80. Berry SD, Ngo L, Samelson EJ, Kiel DP. Competing risk of death: an important consideration in studies of older adults. J Am Geriatr Soc. 2010;58(4):783-787.
81. Austin PC, Lee DS, Fine JP. Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Circulation. 2016;133(6):601-609.
82. Boulet J, Pena J, Hulten EA, et al. Statin Use and Risk of Vascular Events Among Cancer Patients After Radiotherapy to the Thorax, Head, and Neck. J Am Heart Assoc. 2019;8(13):e005996.
83. Fine JP, and Gray RJ. A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association. 1999;94(446):496-509.
84. Yeganeh B, Wiechec E, Ande SR, et al. Targeting the mevalonate cascade as a new therapeutic approach in heart disease, cancer and pulmonary disease. Pharmacol Ther. 2014;143(1):87-110.
85. Bibbins-Domingo K, Grossman DC, Curry SJ, et al. Statin Use for the Primary Prevention of Cardiovascular Disease in Adults: US Preventive Services Task Force Recommendation Statement. Jama. 2016;316(19):1997-2007.
86. Collins R, Reith C, Emberson J, et al. Interpretation of the evidence for the efficacy and safety of statin therapy. Lancet. 2016;388(10059):2532-2561.
87. Liao JK, Laufs U. Pleiotropic effects of statins. Annu Rev Pharmacol Toxicol. 2005;45:89-118.
88. Ping Z, Peng Y, Lang H, et al. Oxidative Stress in Radiation-Induced Cardiotoxicity. Oxid Med Cell Longev. 2020;2020:3579143.
89. Stępień K, Siudut J, Konieczyńska M, Nowak K, Zalewski J, Undas A. Effect of high-dose statin therapy on coagulation factors: Lowering of factor XI as a modifier of fibrin clot properties in coronary artery disease. Vascul Pharmacol. 2023;149:107153.
90. Nenna A, Nappi F, Lusini M, et al. Effect of Statins on Platelet Activation and Function: From Molecular Pathways to Clinical Effects. Biomed Res Int. 2021;2021:6661847.
91. Pugsley MK, Tabrizchi R. The vascular system. An overview of structure and function. J Pharmacol Toxicol Methods. 2000;44(2):333-340.
92. Minelli S, Minelli P, Montinari MR. Reflections on Atherosclerosis: Lesson from the Past and Future Research Directions. J Multidiscip Healthc. 2020;13:621-633.
93. Thomas E, Forbus WD. Irradiation injury to the aorta and the lung. AMA Arch Pathol. 1959;67(3):256-263.
94. Gujral DM, Chahal N, Senior R, Harrington KJ, Nutting CM. Radiation-induced carotid artery atherosclerosis. Radiother Oncol. 2014;110(1):31-38.
95. Leboucher A, Sotton S, Gambin Flandrin I, Magné N. Head and neck radiotherapy-induced carotid toxicity: Pathophysiological concepts and clinical syndromes. Oral Oncol. 2022;129:105868.
96. Chang RW, Tucker LY, Rothenberg KA, et al. Incidence of Ischemic Stroke in Patients With Asymptomatic Severe Carotid Stenosis Without Surgical Intervention. Jama. 2022;327(20):1974-1982.
97. Rothwell PM. Prediction and prevention of stroke in patients with symptomatic carotid stenosis: the high-risk period and the high-risk patient. Eur J Vasc Endovasc Surg. 2008;35(3):255-263.
98. Dharmakidari S, Bhattacharya P, Chaturvedi S. Carotid Artery Stenosis: Medical Therapy, Surgery, and Stenting. Curr Neurol Neurosci Rep. 2017;17(10):77.
99. Wong KS, Chen C, Fu J, et al. Clopidogrel plus aspirin versus aspirin alone for reducing embolisation in patients with acute symptomatic cerebral or carotid artery stenosis (CLAIR study): a randomised, open-label, blinded-endpoint trial. Lancet Neurol. 2010;9(5):489-497.
100. Aboyans V, Ricco JB, Bartelink MEL, et al. 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in collaboration with the European Society for Vascular Surgery (ESVS): Document covering atherosclerotic disease of extracranial carotid and vertebral, mesenteric, renal, upper and lower extremity arteriesEndorsed by: the European Stroke Organization (ESO)The Task Force for the Diagnosis and Treatment of Peripheral Arterial Diseases of the European Society of Cardiology (ESC) and of the European Society for Vascular Surgery (ESVS). Eur Heart J. 2018;39(9):763-816.
101. Stoberock K, Debus ES, Atlihan G, et al. Gender differences in patients with carotid stenosis. Vasa. 2016;45(1):11-16.
102. Suzuki M, Okawa M, Okuno Y, et al. Prevalence of carotid artery stenosis with coronary artery disease in Japanese patients: A single-center study. J Neurol Sci. 2022;443:120492.
103. Tanimoto S, Ikari Y, Tanabe K, et al. Prevalence of carotid artery stenosis in patients with coronary artery disease in Japanese population. Stroke. 2005;36(10):2094-2098.
104. Craven TE, Ryu JE, Espeland MA, et al. Evaluation of the associations between carotid artery atherosclerosis and coronary artery stenosis. A case-control study. Circulation. 1990;82(4):1230-1242.
105. Després JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444(7121):881-887.
106. Powell-Wiley TM, Poirier P, Burke LE, et al. Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 2021;143(21):e984-e1010.
107. Savica V, Bellinghieri G, Kopple JD. The effect of nutrition on blood pressure. Annu Rev Nutr. 2010;30:365-401.
108. Papakonstantinou E, Oikonomou C, Nychas G, Dimitriadis GD. Effects of Diet, Lifestyle, Chrononutrition and Alternative Dietary Interventions on Postprandial Glycemia and Insulin Resistance. Nutrients. 2022;14(4).
109. Zhong P, Tan S, Zhu Z, et al. Normal-weight central obesity and risk of cardiovascular and microvascular events in adults with prediabetes or diabetes: Chinese and British cohorts. Diabetes Metab Res Rev. 2023;39(8):e3707.
110. Kouli GM, Panagiotakos DB, Kyrou I, et al. Visceral adiposity index and 10-year cardiovascular disease incidence: The ATTICA study. Nutr Metab Cardiovasc Dis. 2017;27(10):881-889.
111. Li Y, Gui J, Liu H, et al. Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study. Front Endocrinol (Lausanne). 2023;14:1201132.
112. Wan H, Wang Y, Xiang Q, et al. Associations between abdominal obesity indices and diabetic complications: Chinese visceral adiposity index and neck circumference. Cardiovasc Diabetol. 2020;19(1):118.
113. Rovella V, Anemona L, Cardellini M, et al. The role of obesity in carotid plaque instability: interaction with age, gender, and cardiovascular risk factors. Cardiovasc Diabetol. 2018;17(1):46.
114. Ferreira J, Cunha P, Carneiro A, et al. Is Obesity a Risk Factor for Carotid Atherosclerotic Disease?-Opportunistic Review. J Cardiovasc Dev Dis. 2022;9(5).
115. Imai A, Komatsu S, Ohara T, et al. Visceral abdominal fat accumulation predicts the progression of noncalcified coronary plaque. Atherosclerosis. 2012;222(2):524-529.
116. Figueroa AL, Takx RA, MacNabb MH, et al. Relationship Between Measures of Adiposity, Arterial Inflammation, and Subsequent Cardiovascular Events. Circ Cardiovasc Imaging. 2016;9(4):e004043.
117. He W, Zhang S, Song A, et al. Greater abdominal fat accumulation is associated with higher metabolic risk in Chinese than in white people: an ethnicity study. PLoS One. 2013;8(3):e58688.
118. Lu Y, Li N, Kamishima T, et al. Visceral Obesity and Lipid Profiles in Chinese Adults with Normal and High Body Mass Index. Diagnostics (Basel). 2022;12(10).
119. Chang CJ, Wu CH, Chang CS, et al. Low body mass index but high percent body fat in Taiwanese subjects: implications of obesity cutoffs. Int J Obes Relat Metab Disord. 2003;27(2):253-259.
120. He M, Tan KC, Li ET, Kung AW. Body fat determination by dual energy X-ray absorptiometry and its relation to body mass index and waist circumference in Hong Kong Chinese. Int J Obes Relat Metab Disord. 2001;25(5):748-752.
121. Huang KC. Obesity and its related diseases in Taiwan. Obes Rev. 2008;9 Suppl 1:32-34.
122. Ji R, Pan Y, Yan H, et al. Current smoking is associated with extracranial carotid atherosclerotic stenosis but not with intracranial large artery disease. BMC Neurol. 2017;17(1):120.
123. Mast H, Thompson JL, Lin IF, et al. Cigarette smoking as a determinant of high-grade carotid artery stenosis in Hispanic, black, and white patients with stroke or transient ischemic attack. Stroke. 1998;29(5):908-912.
124. Poorthuis MHF, Sherliker P, Morris DR, et al. Development and Internal Validation of a Risk Score to Detect Asymptomatic Carotid Stenosis. Eur J Vasc Endovasc Surg. 2021;61(3):365-373.
125. Poorthuis MHF, Hageman SHJ, Fiolet ATL, et al. Prediction of Severe Baseline Asymptomatic Carotid Stenosis and Subsequent Risk of Stroke and Cardiovascular Disease. Stroke. 2024;55(11):2632-2640.
126. Sreckovic B, Sreckovic VD, Soldatovic I, et al. Homocysteine is a marker for metabolic syndrome and atherosclerosis. Diabetes Metab Syndr. 2017;11(3):179-182.
127. Kimura Y, Tsukui D, Kono H. Uric Acid in Inflammation and the Pathogenesis of Atherosclerosis. Int J Mol Sci. 2021;22(22).
128. Kim J, Kim H, Roh H, Kwon Y. Causes of hyperhomocysteinemia and its pathological significance. Arch Pharm Res. 2018;41(4):372-383.
129. Sautin YY, Nakagawa T, Zharikov S, Johnson RJ. Adverse effects of the classic antioxidant uric acid in adipocytes: NADPH oxidase-mediated oxidative/nitrosative stress. Am J Physiol Cell Physiol. 2007;293(2):C584-596.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99915-
dc.description.abstract背景:在台灣,鼻咽癌是第二常見的頭頸癌,佔所有癌症病例的5%以及頭頸癌的50%。放射治療是治療鼻咽癌最有效的方法,然而放射線治療照射部位包含顱底與頸部可能導致頸動脈狹窄,進而增加缺血性中風的風險。在現代,結合強度調控放射治療與全身化學治療,非遠端轉移的末期鼻咽癌患者的預後極佳。隨著長期存活者人數增加,預測與預防晚期放射治療相關併發症的重要性日益提升。
研究目的與方法:第一個研究目標(研究一)是評估在接受標準同步化學放射治療之晚期鼻咽癌患者中,使用他汀類藥物對缺血性中風風險的影響。在研究一中,我們使用了台灣癌症登記資料庫(TCRD)與台灣全民健康保險研究資料庫(NHIRD)連結的全國性資料。我們採用逆機率加權(IPTW)Cox 回歸分析,以探討在同步化學放射治療期間使用他汀類藥物與缺血性中風風險之間的關聯性。第二個研究目標(研究二)是建立一套風險預測模型,以辨識在接受放射治療後可能發展為中度以上內頸動脈狹窄的高風險鼻咽癌患者族群。研究二的資料來源為台大醫院整合醫療資料庫(NTUH-iMD)中的電子病歷資料。我們分析接受放射治療後鼻咽癌患者頸內動脈狹窄的風險因子,並利用逐步變數選擇法建立 Cox 比例風險模型的風險預測模型。此外,我們建立了接收者操作特徵曲線(ROC curve)與布萊爾分數(Brier score),以評估該風險預測模型的判別能力與整體表現。第三個研究目標(屬於研究二)是釐清接受放射治療後鼻咽癌患者進行頸動脈超音波篩檢的最佳起始時機。為了闡明風險的時間分布,我們應用多變量廣義線性混合模型(Generalized Linear Mixed Model, GLMM),以判定放射治療後與發生中度以上內頸動脈狹窄最密切相關的年度時間點。
結果:在研究一中,相較於未使用他汀類藥物的族群,使用他汀類藥物患者的缺血性中風調整後風險比(aHR)為0.70(95%信賴區間:0.54–0.92;P 值為 0.0107)。累積規定日劑量(cDDD)分析顯示劑量反應關係,在 cDDD 較高的四分位數中觀察到較低的缺血性中風風險。此外,日定義劑量(DDD)大於 1 的患者缺血性中風風險降低,其 aHR 為 0.49(95%CI:0.31–0.63);而DDD 小於或等於 1 的患者,其 aHR 為 0.59(95% CI:0.40–0.84)。在研究二中,根據我們建立的預測模型,風險分數達 5 分以上的高風險族群,其發生中度或以上內頸動脈狹窄的風險明顯增加,且可能在接受放射治療後的第四年即開始出現。此外,我們發現,相較於整體族群的平均風險,發生中度或以上內頸動脈狹窄的風險大約在放射治療後第七年左右開始顯著且持續上升。
結論:我們的研究一提供了證據,支持在接受標準同步化學放射治療的晚期鼻咽癌患者中,他汀類藥物於治療期間使用,能有效降低放射治療引起的缺血性中風風險。在研究二中,根據我們提出的風險預測模型,我們建議鼻咽癌患者於放射治療後第七年開始進行頸動脈超音波篩檢,而高風險族群患者則應提早開始於放數線治療後第四年即開始篩檢。
zh_TW
dc.description.abstractIntroduction: In Taiwan, nasopharyngeal carcinoma (NPC) is the second most common type of head and neck cancer, accounting for approximately 5% of all cancer cases and representing nearly 50% of all head and neck malignancies. Radiotherapy (RT) serves as the most effective treatment for NPC but can induce carotid stenosis and increase the risk of ischemic stroke. In modern era of intensity modulated radiation therapy (IMRT) and effective systemic chemotherapy, prognosis of patients with localized NPC is excellent. With larger number of long-term survivors, the prediction and prevention of late RT-related complications has become important.
Study Aims and Methods: The aim 1 of this doctoral dissertation (study 1) is to evaluate the impact of statin use on ischemic stroke risk in patients with advanced NPC undergoing standard concurrent chemoradiotherapy (CCRT). In the first study, we utilized nationwide data from the Taiwan Cancer Registry Database (TCRD), which was linked to the National Health Insurance Research Database (NHIRD) of Taiwan. In Study 1, We applied an inverse probability of treatment-weighted (IPTW) Cox-proportional hazards regression model to examine the association between statin use during CCRT and the risk of ischemic stroke. The aim 2 of this doctoral dissertation (Study 2) is to develop a risk prediction model to identify high-risk groups of NPC patients who are likely to develop moderate or greater internal carotid artery (ICA) stenosis after receiving RT. In the second study, the data source is from electronic medical record from National Taiwan University Hospital, integrative Medical Database (NTUH-iMD). We investigated the risk factors of ICA stenosis in post-RT NPC patients and developed risk prediction model by using stepwise variable selection in Cox proportional hazard model. The Receiver Operating Characteristic (ROC) curve and integrated Brier score were constructed to assess the discriminatory ability and overall performance of our risk prediction model. The aim 3 of this doctoral dissertation (study 2) is to determine the optimal timing for initiating carotid ultrasound screening in post RT NPC patients. To elucidate the temporal pattern of risk, a multivariable Generalized Linear Mixed Model (GLMM) was applied to determine the post-radiotherapy year most strongly associated with the onset of moderate or greater ICA stenosis.
Results: In Study 1, the adjusted hazard ratios (aHR) for ischemic stroke in the statin group compared to the non-statin group was 0.70 (95% CI: 0.54–0.92). Analysis based on cumulative defined daily doses (cDDD) demonstrated a clear dose–response relationship, with a progressively lower risk of stroke observed in higher cDDD quartiles. Furthermore, patients with a daily defined dose (DDD) greater than 1 had a significantly reduced stroke risk (aHR: 0.49; 95% CI: 0.31–0.63), whereas those with a DDD of 1 or less also showed a protective effect (aHR: 0.59; 95% CI: 0.40–0.84). In study 2, according to our predictive model, patients in the high-risk group (risk score≥5) have significantly increased risk of moderate or greater ICA stenosis, which may begin to manifest as early as the fourth year after receiving radiation therapy. Additionally, we found that, compared to the average risk of the entire cohort, the risk of developing moderate-to-severe ICA stenosis began to increase significantly and persistently around the seventh year after radiotherapy.
Conclusions: Study 1 provides compelling evidence supporting the beneficial effects of statin use during the CCRT period in reducing the risk of radiation-induced ischemic stroke among patients with advanced NPC undergoing definitive CCRT.
In the study 2, according to our proposed risk prediction model, we recommend that carotid ultrasound screening begin in the seventh year following radiation therapy, while high-risk patients should start screening earlier, beginning in the fourth year.
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dc.description.tableofcontents致謝 I
中文摘要 II
ABSTRACT IV
CONTENTS VI
CONTENTS OF TABLES IX
CONTENTS OF FIGURES X
CHAPTER 1. INTRODUCTION 1
1.1 Nasopharyngeal carcinoma and radiotherapy 1
1.2 Head and neck irradiation increase risk of carotid artery stenosis and ischemic stroke 2
1.3 Pathogenesis of carotid artery stenosis 3
1.4 Screening for carotid artery stenosis in high-risk populations is cost-effectiveness 3
1.5 Potential protective effects of Statins against ischemic stroke 4
1.6 Knowledge gap regarding Statins prevent ischemic stroke event in post radiation therapy nasopharyngeal carcinoma patients 5
1.7 No surveillance protocol to keep post radiation therapy nasopharyngeal carcinoma away from risk of ischemic stroke 5
1.8 Study aims 6
CHAPTER 2. METHODS 7
2.1 Methods of Study 1 7
2.1.1 Data source 7
2.1.2 Eligibility criteria 7
2.1.3 Covariates 8
2.1.4 Primary outcome 9
2.1.5 The utilization of statins during the CCRT period 9
2.1.6 Statistical analysis 10
2.2 Methods of study 2 12
2.2.1 Data source 12
2.2.2 Study population and follow-up time 13
2.2.3 Primary outcome 13
2.2.4 Risk factors of carotid artery stenosis 13
2.2.5 Statistical analysis 14
CHAPTER 3. RESULTS 17
3.1 Results of study 1 17
3.1.1 Patient characteristics 17
3.1.2 Risk of ischemic stroke in statin user versus non-statin user 17
3.1.3 Dose-response protective effect of Statins 18
3.2 Results of study 2 19
3.2.1 Baseline characteristics of participants 19
3.2.2 Cox regression analysis of risk factors for moderate or greater ICA stenosis from training data set 19
3.2.3 Risk prediction model for moderate or greater ICA stenosis in post-RT NPC patients 20
3.2.4 Performance of this risk prediction model 20
3.2.5 Time to onset of significant ICA stenosis post-radiotherapy 22
3.2.6 Sensitivity Analysis: Severe Internal Carotid Artery Stenosis as Primary Outcome 23
CHAPTER 4. DISCUSSION 24
4.1 Discussion of study 1 24
4.1.1 Late sequelae of radiotherapy for nasopharyngeal carcinoma 24
4.1.2 A more homogeneous study population with a longer follow-up period 24
4.1.3 The pathophysiological mechanisms of statins in the prevention of ischemic stroke 26
4.1.4 The innovative contributions of study 1 27
4.1.5 The strengths of study 1 28
4.1.6 The limitations of study 1 29
4.2 Discussion of study 2 31
4.2.1 The main findings of study 2 31
4.2.3 Recommendations for carotid artery surveillance in high-risk groups 33
4.2.4 Identifying risk factors for significant ICA stenosis in post-RT NPC patients using our predictive model 33
4.2.5 The performance of risk predication model in study 2 35
4.2.6 The strengths of study 2 36
4.2.7 The limitations of study 2 36
CHAPTER 5. CONCLUSION 39
CHAPTER 6. REFERENCE 41
CONTENT OF APPENDIX 77
I. Supplement tables 77
Table S1. Characteristics of Nasopharyngeal Cancer Patients Enrolled (outcome = severe ICA stenosis) 77
Table S2. Risk factors for severe ICA stenosis in post radiation therapy nasopharyngeal cancer patients (N=636) 80
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dc.language.isoen-
dc.subject鼻咽癌zh_TW
dc.subject放射線治療的晚期併發症zh_TW
dc.subject缺血性中風zh_TW
dc.subject他汀類藥物zh_TW
dc.subject頸動脈狹窄zh_TW
dc.subject頸動脈杜卜勒超音波zh_TW
dc.subjectcarotid artery stenosisen
dc.subjectischemic strokeen
dc.subjectstatinsen
dc.subjectcarotid doppler ultrasounden
dc.subjectnasopharyngeal carcinomaen
dc.subjectlate complication of radiotherapyen
dc.title鼻咽癌患者經放射治療後缺血性腦中風的預防與預測zh_TW
dc.titlePrevention and Prediction of Ischemic Stroke in post Radiotherapy Nasopharyngeal Carcinoma Patientsen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree博士-
dc.contributor.oralexamcommittee張慶國;李文宗;吳思遠;柯政郁zh_TW
dc.contributor.oralexamcommitteeChin-Kuo Chang;Wen-Chung Li;Szu-Yuan Wu;Jenq-Yuh Koen
dc.subject.keyword鼻咽癌,放射線治療的晚期併發症,缺血性中風,他汀類藥物,頸動脈狹窄,頸動脈杜卜勒超音波,zh_TW
dc.subject.keywordnasopharyngeal carcinoma,late complication of radiotherapy,ischemic stroke,statins,carotid artery stenosis,carotid doppler ultrasound,en
dc.relation.page80-
dc.identifier.doi10.6342/NTU202502602-
dc.rights.note未授權-
dc.date.accepted2025-07-29-
dc.contributor.author-college公共衛生學院-
dc.contributor.author-dept流行病學與預防醫學研究所-
dc.date.embargo-liftN/A-
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