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研究生: 薛宇翔
Xue, Yu-Xiang
論文名稱: 基於商業智慧法之血清腫瘤標記CA19-9於胰臟癌診斷及癒後分析
Analysis of Serum Tumor Marker CA19-9 in the Diagnosis and Prognosis of Pancreatic Cancer-A Business Intelligence Approach
指導教授: 李昇暾
Li, Sheng-Tun
學位類別: 碩士
Master
系所名稱: 管理學院 - 高階管理碩士在職專班(EMBA)
Executive Master of Business Administration (EMBA)
論文出版年: 2017
畢業學年度: 105
語文別: 中文
論文頁數: 55
中文關鍵詞: 商業智慧CA 19-9胰臟癌
外文關鍵詞: business intelligence, CA 19-9, pancreatic cancer
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  • 胰臟癌是高度惡性癌症,且其早期通常並無症狀,直至末期才有較顯著的臨床症狀,早期胰臟癌通常沒有明顯的症狀,之後也缺乏顯著或者確定的症狀,因此胰臟癌經常到晚期才能被正確診斷。由於症狀不明顯、診斷不易,再加上病程進展快速且無有效治療方式,使其五年存活率極低,故能早期診斷與治療是一大難題。國外多篇研究指出目前並沒有可用來篩選高危險胰臟癌患者的標準程序,在最近幾年中,已經有學者提出可大量使用於胰臟癌診斷的生物標誌物,但大多數缺乏大規模人體實驗驗證。因此,儘管具有診斷限制,CA 19-9仍是實際在臨床使用中唯一的胰臟癌生物標誌物。
    巨量資料的時代已經來臨,如何將無時無刻產出的檢驗資料,藉由商業智慧分析工具將大量且複雜的數據進行切割、鑽取,並且能夠迅速產出有用及正確的資訊,提供臨床診斷與治療方向決策的依據,也是一大挑戰。
    研究結果顯示, CA19-9異常數值分析發現以中老年人為主,男性略多於女性,分析CA19-9檢驗結果與胰臟癌分期及發生位置之關聯性,可以發現CA19-9檢驗結果值以胰臟體部腫瘤及第三期為最高。進一步分析胰臟癌發生位置、分期與存活時間之關係。可以發現胰臟尾部腫瘤及第三期的存活時間最長。根據以上的分析可以發現CA19-9檢驗數值對於胰臟癌診斷並無專一性,但若發現異常高值時,可合併CT、PET-CT或MRI等影像學工具輔助診斷,提高診斷準確率,以早期發現早期治療。
    藉由這套線上即時分析系統,可以了解各科別甚至每位醫師開立CA19-9這個檢驗項目的數量,再結合病歷診斷來了解其開單是否符合臨床診斷需求,是否有被健保核刪風險,醫院經營管理者可以針對有核刪高風險的單位或個人提出改善建議,以降低健保核刪,得到所應得的健保給付,以利醫院永續經營。

    (1) Scope and Objectives: Pancreatic cancer is a highly malignant cancer, and it is usually symptomless in the early stage, and only becomes clinically evident until the end phase of the disease course. The aim of this research is to construct a set of online analysis processing system based on the concept of business intelligence, we can analyze the diagnosis and prognosis of pancreatic cancer from different aspects, analyze the influence of different stages of pancreatic cancer, and explore the relationship between CA19-9 and survival time. (2) Methods: 812 CA19-9 abnormal results and diagnosis, were collected from a regional teaching hospital in the southern Taiwan from 2010 to 2012. The relationship between the variables was analyzed by chi-square test and independent T-test. Linear regression and support vector regression were used to analyze the prognosis of the patients. (3) Results: The risk of pancreatic cancer is increased in those patients with abnormal high CA19-9 value. Analysis of CA19-9 results and pancreatic cancer staging and location of the association, CA19-9 result can be found in the value of the pancreatic body tumor as the highest, the lowest for pancreatic head cancer. If the stage of pancreatic cancer, then the highest for the third period, the first phase of the lowest. (4) Conclusions: Based on the above analysis, we can found that CA19-9 values are not specific for the diagnosis of pancreatic cancer. If CA19-9 value is abnormal high, it can combine CT, PET-CT or MRI and other imaging tools to help diagnosis, and improve the diagnostic accuracy, In order to achieve the purpose of early diagnosis and early treatment.

    摘 要 I Abstract II 誌 謝 V 目 錄 VI 表 目 錄 VIII 圖 目 錄 IX 第一章 緒論 I 1.1 研究背景與動機 1 1.2 研究目的 3 1.3 研究範圍與限制 4 1.4 研究架構 5 1.4.1檢驗資料庫中「檢驗結果檔」之商業智慧系統 5 1.4.2 CA19-9檢驗結果與胰臟癌診斷之關係分析 5 1.4.3 CA19-9檢驗結果與胰臟癌病人診斷分期之關係分析 5 1.4.4 CA19-9檢驗結果與胰臟癌病人存活年限之關係分析 5 1.5 研究流程 8 第二章 文獻回顧 10 2.1 胰臟癌之診斷治療 10 2.1.1 胰臟癌的血液檢查 11 2.1.2 胰臟癌的近期研究發展 11 2.1.3 存活時間定義 12 2.2 血清腫瘤標記CA19-9在臨床診斷上之應用 12 2.2.1 CA19-9在生化與臨床上之研究 13 2.2.2 CA19-9用於胰臟癌和慢性胰臟炎之鑑別診斷 13 2.3 商業智慧 14 2.3.1 商業智慧之定義 14 2.3.2 線上分析處理 15 2.3.3 商業智慧於醫療照護產業之應用 15 2.4 資料探勘 16 2.4.1 資料探勘之定義 16 2.4.2 預測 18 2.5本研究預期之貢獻 21 第三章 研究方法 22 3.1 研究資料變數之選定 22 3.2 決策問題之確立 23 3.3 商業智慧雛形系統之建置 23 3.4 研究工具 25 第四章 研究結果 27 4.1 檢驗資料庫「檢驗結果檔」商業智慧雛形系統 27 4.2 不同疾病與CA19-9檢驗結果之分析 29 4.3 疾病診斷、病人性別與年齡之分佈 31 4.4 胰臟癌病人CA19-9檢驗結果之分析 34 4.5 胰臟癌發生位置、分級、CA19-9數值與存活時間之相關性研究 36 第五章 結論與建議 48 5.1 結論 48 5.2 管理意涵 50 5.3 後續研究建議 51 參考文獻 53

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