DBを用いた確定診断情報の蓄積および検索によるPET読影支援手法
全文
(2) ലߥᬌ⚝ߦࠃࠆ⸻ᢿᡰេࠍታߒߡ߈ߚ㧚ߒ߆ ߒ 㧘ታ 㓙 ߩ PET ↹ ⸻ ᢿ ߦ ߅ ߡ ߪ 㧘⺒ ᓇ ߔ ࠆ කᏧߣ⏕ቯ⸻ᢿࠍⴕ߁කᏧ߇ሽߔࠆ߇㧘⺒ᓇ ක߳ߩ⏕ቯ⸻ᢿᖱႎߩવ㆐߇ⴕࠊࠇߡߥߩ ߇ ⁁ ߢ ࠆ 㧚ߘ ߎ ߢ ᚒ ߪ ޘPET ⸻ ᢿ ᓟ ߩ ⏕ ቯ ⸻ᢿߩ߿ᬌ⚝ࠍน⢻ߦߔࠆߎߣߢ㧘⏕ቯ⸻ ᢿ⚿ᨐࠍ⺒ᓇකߦࡈࠖ࠼ࡃ࠶ࠢߔࠆߚߩᚻ ᴺࠍឭ᩺ߔࠆ㧚 ታ 㓙 ߩ ක ≮ ႐ ߢ ߪ 㧘 PET ↹ ߢ ⇣ Ᏹ ࠍ ⇼ ߁ ႐วߢߞߡ߽㧘⏕ቯ⸻ᢿߩ⚿ᨐ㧘ታ㓙ߦ≸ߢ ߥߣ߁ࠃ߁ߥߎߣ߽ᄙ㧚ᧄឭ᩺ᚻᴺߦࠃ ࠅ㧘ㆊߩ⸻ᢿᖱႎߦ߅ߡ㧘ன㓁ᕈ߿ன㒶ᕈ ߩ⏕ߣߞߚߎߣ߇น⢻ߣߥࠆ㧚߹ߚ㧘ㆊ ߩ ⸻ ᢿ ᖱ ႎ ߆ ࠄ 㧘 ⇣ Ᏹ ߥ ∝ ߩ SUV MAX ߩ ߺ ߥ ࠄ ߕ ᱜ Ᏹ ߥ ∝ ߩ SUV MAX ߽ ⫾ Ⓧ ߐ ࠇ ࠆ ߎ ߣ ߦ ࠃ ࠅ 㧘 ㇱ Ფ ߦ ⇣ Ᏹ ᱜ Ᏹ ߩ SUV MAX ▸ ࿐ ߩ⏕ߣߞߚߎߣ߇ታน⢻ߣߥࠆ㧚ߎࠇࠄ ߩߎߣߪ㧘ታ㓙ߦ႐ߩකᏧ߆ࠄߩᦸჿ߽ ߇ߞߡࠆ㗴ߢࠅ㧘⺒ᓇߩ⾰ߩะߣ߁ ⷰὐߢ߽㊀ⷐߢࠆ㧚 ߘ ߎ ߢ ᧄ Ⓜ ߢ ߪ 㧘 PET ߩ ⷐ ߣ ߘ ߩ ⺒ ᓇ ߩ 㗴ὐߦߟߡࠄ߆ߦߒ㧘ߘߩߢ㧘⸥ߩࠃ ߁ߥ⏕ቯ⸻ᢿߩߣᬌ⚝ࠍታߔࠆߚߦ㧘 ⛔৻⊛ߥකቇ⍮⼂ࠍࡌࠬߦోᖱႎࠍ⫾Ⓧߢ߈ ࠆ DB ࡕ ࠺ ࡞ ࠍ ឭ ᩺ ߔ ࠆ 㧚 ߹ ߕ 㧘 ታ 㓙 ߩ ක Ꮷ ߩ ᚲࡐ࠻ࠍෳ⠨ߦ⏕ቯ⸻ᢿߩࡕ࠺࡞ൻࠍⴕ 㧘 ߘ ࠇ ࠍ ర ߦ DB ߩ ⸳ ⸘ ታ ⵝ ࠍ ⴕ ߁ 㧚 ߎ ࠇ ߦ ࠃ ࠅ 㧘⏕ ቯ ⸻ ᢿ ᖱ ႎ ߆ ࠄ ࠊ ߆ ࠆ PET ⸻ ᢿ ߦ ߅ ߌࠆன㓁ᕈ߿ౖဳ⊛ߥ⇣Ᏹ㧘․ቯㇱߩ∛ ∝ߣߞߚᬌ⚝߿㧘ฦ⤳ེߩ⇣ᏱᱜᏱ ߩ SUV MAX ߩ ▸ ࿐ ࠍ ᬌ ⚝ ߦ ࠃ ࠅ ⍮ ࠆ ߎ ߣ ߇ น ⢻ ߣ ߥ ࠅ 㧘 PET ⺒ ᓇ ߩ ᡰ េ ߦ ߥ ࠆ ߣ ⠨ ߃ ࠆ 㧚 ߘ ߒ ߡ 㧘 PET ⸻ ᢿ DB ߢ ⏕ ቯ ⸻ ᢿ ⚿ ᨐ ࠍ ▤ ℂ ߔ ࠆ ߚߦᔅⷐߥᯏ⢻ߦߟߡ⠨ኤߒ㧘ߎࠇࠍታ ߔࠆߚߩ⊓㍳ᬌ⚝ࠗࡦ࠲ࡈࠚࠬߩ⸳⸘ ታⵝࠍⴕ㧘ߘߩᯏ⢻ߦߟߡߩലᕈߩ⹏ଔ ࠍⴕ߁㧚ᦨᓟߦ㧘ᧄ⎇ⓥߩ߹ߣߣᓟߩ⺖㗴 ߦߟߡㅀߴࠆ㧚. 2. ో り PET ↹ ߩ ⺒ ᓇ 2.1. FDG-PET 㓁 㔚 ሶ ᢿ ጀ ᓇ (Positron Emission Tomography: PET)ߣ ߪ 㧘 ߹ ߕ 㧘 ࡈ ࡞ ࠝ ࡠ ࠺ ࠝ ࠠ ࠪ ࠣ ࡞ ࠦ ࠬ (FDG㧕ߣ ߁ ࡉ ࠼ ࠙ ♧ ߦ ࠃ ߊ ૃ ߚ ᕈߩ⮎ࠍᖚ⠪ߦᛩਈߔࠆ㧚߇ࠎ⚦⢩ߪᱜ Ᏹߥ⚦⢩ࠃࠅ߽ᄙߊߩࡉ࠼࠙♧ࠍઍ⻢ߔࠆߣ ߁ ᕈ ⾰ ߇ ࠆ ߚ 㧘߇ ࠎ ߩ ㇱ ߦ FDG ߇ ᄙ ߊ 㓸 Ⓧ ߔ ࠆ 㧚ߘ ߎ ߢ 㧘FDG ߩ ౝ ಽ Ꮣ ࠍ ࠬ ࠠ ࡖ ࠽ ߢ ᓇߔࠆߎߣߦࠃߞߡ㧘߇ࠎߩㇱࠍ⍮ࠆߎߣ ߇ ߢ ߈ ࠆ 㧚PET ߪ FDG ߩ 㓸 Ⓧ ߩ ᐲ ว ߆ ࠄ ♧ ઍ ⻢ߣ߁りߩޟᯏ⢻ࠍޠᓇߔࠆߚ㧘ᒻᘒ ߩᄌൻ߆ࠄߛߌߢߪ್ቯ߇࿎㔍ߥ߇ࠎߩㅴⴕᐲ ߿㧘߹ߛᒻᘒߩᄌൻ߇߅߈ߡߥࠃ߁ߥೋᦼ ߩዊߐߥ߇ࠎߩ⊒ߦലߢࠆߣᦼᓙߐࠇߡ ࠆ [3]㧚 ߹ ߚ 㧘 ᛩ ਈ ߐ ࠇ ߚ FDG ߪ ో り ߦ ಽ Ꮣ ߔࠆߚ㧘৻ᐲߩᬌᩏߢోりࠍᓇߔࠆߎߣ߇ น⢻ߢࠆ㧚. PET ߪ ≸ ߩ ⊒ ߦ ല ߥ ᓇ ᴺ ߢ ࠆ ߇ 㧘 ቢ ో ߣ ߁ ࠊ ߌ ߢ ߪ ߥ 㧚߹ ߕ 㧘PET ߪ り ߩ ޟᯏ ⢻ࠍޠᓇߔࠆߚ㧘㓸Ⓧߒߚ႐ᚲ߇⸃೬ቇ⊛ ߦ ߤ ߎ ߥ ߩ ߆ ෩ ኒ ߥ ⏕ ቯ ߇ 㔍 ߒ 㧚 ᰴ ߦ 㧘 PET ߪ FDG ߩ 㓸 Ⓧ ౕ ว ࠍ ᓇ ߔ ࠆ ߚ 㧘⣾ ⢲ ߩ ࠃ ߁ ߥዩࠍಣℂߔࠆ⤳ེ߿⣖ߩࠃ߁ߥ᥉Ბ߆ࠄࡉ࠼ ࠙♧ࠍᄙߊᶖ⾌ߔࠆ⤳ེߢߪ㧘ౝߩᱜᏱߥ ⽎ ߣ ߒ ߡ FDG ߩ 㓸 Ⓧ (↢ ℂ ⊛ 㓸 Ⓧ ߣ ߱ )߇ ߎ ࠆ 㧚߹ ߚ 㧘Ἳ ∝ ߥ ߤ ߦ ࠃ ߞ ߡ FDG ߇ 㓸 Ⓧ ߔ ࠆ ႐ ว߽ࠆ㧚 PET ߩ ⺒ ᓇ ߦ ߪ ↢ ℂ ⊛ 㓸 Ⓧ ߣ ⇣ Ᏹ 㓸 Ⓧ ߩ 㐓 ߩߚߦ㧘ߘߩ㓸Ⓧߩᒝߐࠍ⹏ଔߔࠆᔅⷐ߇ ࠅ [4]㧘ߘ ߩ ߚ ߩ ୯ ߣ ߒ ߡ 㧘Standardized Uptake Value(SUV)߇ ↪ ࠄ ࠇ ࠆ 㧚SUV ߪ ᖚ ⠪ ߩ ㊀ ߣ Radio Isotope(RI)ᛩ ਈ ㊂ ߢ ᮡ Ḱ ൻ ߒ ߚ 㧘⮎ ߩ 㓸 Ⓧᐲࠍߔ߽ߩߢࠅ㧘หߓᖚ⠪ߩหߓㇱߢ ߞߡ߽㧘ᬌᩏᲤߦ⇣ߥࠆ㧚߹ߚ㧘↢ℂ⊛㓸Ⓧ ߩᒝߐ߇⤳ེᲤߦ⇣ߥࠆߚ㧘⤳ེᲤߦขࠅᓧ ࠆ SUV ߩ ▸ ࿐ ߽ ⇣ ߥ ࠆ 㧚 ߘ ߩ ߚ 㧘 SUV ߇ ࠆ୯એߢࠇ߫ᔅߕ⇣Ᏹߢࠆߣߞߚ㧘৻ ᗧߥ㑣୯ࠍࠆߎߣߪߢ߈ߥ㧚කቇ⊛ⷰὐ ߆ ࠄ ߩ ⇣ Ᏹ 㓸 Ⓧ ߣ SUV ߣ ߩ 㑐 ㅪ ߪ 㧘 ᭽ ߥ ޘ ⎇ⓥ߇ㅴࠄࠇߡ߅ࠅ㧘ߘߩࠃ߁ߥ⎇ⓥߩߣ ߒ ߡ 㧘 ≸ ᕈ ⣻ ⤑ Ἳ ߣ SUV MAX ߣ ߩ 㑐 ㅪ ߦ 㑐 ߔ ࠆ ⎇ ⓥ [5]߇ ߍ ࠄ ࠇ ࠆ 㧚߹ ߚ 㧘PET ߇ ല ߥ ∝ ߣലߢߥ∝ߦߟߡ߹ߣߚࠟࠗ࠼ࠗ ࡦ ߩ ╷ ቯ [6]߽ ⴕ ࠊ ࠇ ߡ ࠆ 㧚 ߎ ߩ ࠃ ߁ ߦ 㧘PET ↹ ߩ ⸻ ᢿ ߦ ߅ ߡ ߪ 㧘PET ߦ㑐ߒߡኾ㐷⊛ߥ⍮⼂ࠍߒ㧘߹ߚࠆ⒟ᐲߩ ⚻ 㛎 ࠍ Ⓧ ࠎ ߛ PET ↹ ኾ 㐷 ߩ ⺒ ᓇ ක ߇ ⴕ ߁ ᔅ ⷐ ߇ࠆ㧚߽ߒකᏧ߇ߦޘᜬߟߎߩࠃ߁ߥ⍮⼂ ߿⚻㛎ࠍකᏧోߢߒ㧘⺒ᓇᤨߩෳ⠨ߣߔ ࠆߎߣ߇ߢ߈ࠇ߫㧘⺒ᓇߩᡰេߦߥࠆߣ⠨߃ࠄ ࠇࠆ㧚߹ߚ㧘⺒ᓇක߇ㆊߩᚲࠍෳᾖน⢻ߣ ߔࠆߎߣߪ㧘ᚲ㑆ߩ⍦⋫ࠍᷫዋߐߖ㧘⥄Ꮖቇ ⠌ߩᯏળࠍਈ߃ࠆߎߣ߇ߢ߈ࠆߣ߁ὐߢ㧘ᄢ ߈ߥࡔ࠶࠻ࠍߔࠆ㧚 ৻ᣇߢ㧘ߩක≮ߢߪ㧘㜞ᐲߦኾ㐷ൻߒߚ කᏧ߇ฦ⥄ߩኾ㐷ಽ㊁ߦ․ൻߒߚක≮ᬺോࠍⴕ ߁ ߎ ߣ ߇ ᄙ 㧚 ߃ ߫ PET ߢ ߪ ೨ ㅀ ߩ ࠃ ߁ ߥ ℂ ↱ ߦ ࠃ ࠅ 㧘 ⺒ ᓇ ࠍ ኾ 㐷 ߣ ߔ ࠆ ක Ꮷ ߇ ᄙ ㊂ ߩ PET ↹࠺࠲߆ࠄ⇣ᏱᱜᏱߩ㐓ࠍⴕ㧘ࡐ ࠻ߩᒻᑼߢઁߩකᏧߦ⚿ᨐવ㆐ࠍⴕߞߡࠆ㧚 ߎߩ㓙㧘 ޟPET ߢ ⇼ ޡ㓁 ᕈ ⸻ ߣޢᢿ ߐ ࠇ ߚ ㇱ ߦ ߟ ߡ 㧘ᓟ ߩ ᚻ ⴚ ߢ ⤳ ེ ⚵ ❱ ࠍ ♖ ᩏ ߒ ߚ ߣ ߎ ࠈ 㧘 㒶ᕈߢࠆߎߣ߇⏕ߐࠇߚߥ߁ࠃ߁ߣޠ ⽎߇↢ߓᓧࠆ㧚ߎߩ᭽ߦ㧘ታ㓙ߦߪߤ߁ߛߞߚ ߆ࠍ␜ߔ⸻ᢿࠍ⏕ቯ⸻ᢿߣ߱㧚৻⥸ߦ㧘⏕ቯ ⸻ ᢿ ࠍ ਅ ߔ ක Ꮷ ߪ 㧘ᦨ ೋ ߦ PET ⺒ ᓇ ߒ ߚ ක Ꮷ ߣ ߪ ⇣ ߥ ࠆ ߎ ߣ ߇ ᄙ ߊ 㧘 ߹ ߚ 㧘 PET ⺒ ᓇ ක ߦ ో ߡ ߩ⏕ቯ⸻ᢿᖱႎ߇ࡈࠖ࠼ࡃ࠶ࠢߐࠇࠆߣߪ㒢 ࠄߥߩ߇⁁ߢࠆ㧚 ߘ ߎ ߢ ᚒ ߪ ޘ㧘 DB ࠍ ↪ ߒ ߡ ㆊ ߩ ⺒ ᓇ ᖱ ႎࠍකᏧ㑆ߢน⢻ߣߔࠆߎߣߢ㧘ᬌ⚝ߦࠃ ࠆ⺒ᓇᡰេߩታࠍ⋡ᜰߔ㧚. - 2−118−.
(3) 2.2. PET ⸻ ᢿ ߣ ⏕ ቯ ⸻ ᢿ ߹ ߢ ߩ ࡊ ࡠ ࠬ PET ⸻ ᢿ ߪ ᄢ ߈ ߊ (1)↹ ᓇ 㧘(2) ᓇ ߒ ߚ ↹ ߩ ⺒ ᓇ 㧘߅ ࠃ ߮ 㧘(3)PET એ ᄖ ߩ ࡕ ࠳ ࠹ ࠖ ߦ ࠃࠆ⏕ቯ⸻ᢿ㧘ߩ 3 ߟߩࡊࡠࠬߦಽߌࠆߎߣ ߇ ߢ ߈ ࠆ (࿑ 1)㧚એ ਅ ߢ ߪ ߘ ࠇ ߙ ࠇ ߩ ࡊ ࡠ ࠬ ߦ ߟߡㅀߴࠆ㧚 [↹ ᓇ ] FDG ࠍ ᖚ ⠪ ߦ ᛩ ਈ ߒ ߚ ᓟ 㧘ߘ ߩ ಽ Ꮣ ߩ ᢿ ጀ ᓇ ࠍ ⴕ ߁ 㧚ో り PET ᬌ ᩏ ߢ ߪ 㧘 ᓇ ߦ ࠃ ߞ ߡ 295 ᨎߩࠬࠗࠬ↹߇↢ᚑߐࠇࠆ㧚ࠬࠗࠬ↹ ߩ ↹ ⚛ ୯ ߪ 㧘ߘ ߩ ⟎ ߩ SUV ࠍ ߒ ߡ ࠆ 㧚ᬌ ᩏ ⚿ ᨐ ߩ ↹ ߪ 㧘 ᖚ ⠪ ᖱ ႎ (ᖚ ⠪ ID㧘 ᳁ ฬ 㧘 ↢ ᐕ ᣣ ߥ ߤ )߿ ᬌ ᩏ ᖱ ႎ (ᬌ ᩏ ᣣ ᤨ ߥ ߤ )߇ ઃ ട ߐ ࠇ ߚ Digital Imaging and Communications in Medicine (DICOM)ࡈ ࠔ ࠗ ࡞ ࡈ ࠜ ࡑ ࠶ ࠻ [7]ߢ 㧘 ࠬࠗࠬᲤߦജߐࠇࠆ㧚 [⺒ ᓇ ] ⺒ᓇߩଐ㗬߇᧪ࠆߣ㧘⺒ᓇකߪᓇߐࠇߚ↹ ࠍ⺒ᓇࠦࡦ࠰࡞ࠍ↪ߒߡ⺒ᓇࠍⴕ߁㧚⺒ ᓇ ߢ ߪ 㧘↹ ਛ ߩ FDG 㓸 Ⓧ ㇱ ߦ ᵈ ⋡ ߒ 㧘ߘ ߩ 㓸 Ⓧ߇⇣Ᏹߥߩ߆ߤ߁߆ࠍ್ᢿߒߡߊ㧚್ᢿߩ ၮḰߣߒߡ㧘⺒ᓇකߪ㓸Ⓧㇱߦࡑ࠙ࠬࠍߞߡ 㑐 ᔃ 㗔 ၞ (Region of Interest : ROI)ࠍ ⸳ ቯ ߒ 㧘 ߘ ߩ 㗔 ၞ ౝ ߩ ↹ ⚛ ⟲ ߇ ᜬ ߟ ᦨ ᄢ ߩ SUV(SUV MAX ) ࠍ ↪ ߔ ࠆ 㧚 SUV MAX ࠍ ⸻ ᢿ ߩ ၮ Ḱ ߦ ↪ ߔ ࠆ ߎ ߣ ߦ ࠃ ߞ ߡ 㧘 ROI ߩ ⸳ ቯ ᴺ ߦ ࠃ ࠆ ⸻ ᢿ ၮ Ḱ ߩ ᄌൻࠍᛥ߃ࠆߎߣ߇ߢ߈ࠆ㧚 ߎ ߩ ߣ ߈ 㧘 ⇣ Ᏹ ߇ ⇼ ࠊ ࠇ ࠆ SUV MAX ߪ 㧘 ⤳ ེ ߦࠃߞߡ⇣ߥࠆߚ㧘කᏧߪ↹ਛߦ㓸Ⓧࠍ ࠆߣ㧘߹ߕߘߩ㓸Ⓧ߇ߤߩ⤳ེߦߎߞߡ ࠆߩ߆ࠍ↹ਛߢߩ⟎߆ࠄ್ᢿߔࠆ㧚ߘߩ ߢ 㧘 ߘ ߩ ⤳ ེ ߦ ߅ ߡ ߘ ߩ SUV MAX ࠍ ᜬ ߟ 㓸 Ⓧ ߇⇣Ᏹߥߩ߆ߤ߁߆ࠍ್ᢿߔࠆ㧚 [⏕ ቯ ⸻ ᢿ ] PET ⺒ ᓇ ߦ ࠃ ࠆ ࠟ ࡦ ߩ ή ߩ ್ ቯ ߩ ᓟ 㧘 ↢ ᬌ ߿ઁߩࡕ࠳࠹ࠖߢߩㅊടߩᬌᩏ╬ࠍⴕ߁႐ว ߇ࠆ㧚ߎࠇߦࠃࠅ㧘∛∝ߩ⏕ቯ⸻ᢿࠍᓧࠆ㧚 㓸 Ⓧ ߇ ߈ ߡ ࠆ ⤳ ེ ߦ ࠃ ߞ ߡ ߪ 㧘 PET ߢ 㒶 ᕈ ߛߞߚᬌᩏߢ߽ታ㓙ߦߪ⇣Ᏹ߇ሽߔࠆ႐ว 㧔 PET ன 㒶 ᕈ 㧕߿ 㧘ߘ ߩ ㅒ ߩ ႐ ว㧔 PET ன 㓁 ᕈ 㧕 ߽ሽߔࠆ㧚 ৻ ⥸ ߦ 㧘⏕ ቯ ⸻ ᢿ ࠍ ⴕ ߁ ක Ꮷ ߪ PET ߩ ⺒ ᓇ ක ߣߪߩකᏧߢࠆߎߣ߇ᄙ㧚ߘߩߚ㧘⏕ ቯ⸻ᢿߩ⚿ᨐߪࠆࠃߦ̖ޟᬌᩏߩ⚿ᨐ㧘ฝ⢖ߦ Ἳ ∝ ࠍ ߚ ߦ ߁ ࠃ ߚ ߞ ߣ ޠ㧘 PET ⺒ ᓇ ߩ ᖱ ႎߣߪ⋥ធ㑐ㅪࠍᜬߚߕ㧘⁛┙ߦ⸥ㅀߐࠇࠆ߽ ߩߦߥࠆߣ⠨߃ࠄࠇࠆ㧚ߘߩߚ㧘⺒ᓇකߪㆊ ߦⴕߞߚ⺒ᓇߦኻߔࠆ⏕ቯ⸻ᢿ⚿ᨐߩ৻ߟ৻ ߟࠍ⍮ࠆߎߣ߇࿎㔍ߢࠆ㧚 ߘߎߢ㧘⏕ቯ⸻ᢿߩ⚿ᨐࠍ⺒ᓇකߦ⍮ࠄߖࠆㇱ ಽߢࠨࡐ࠻ߔࠆߎߣߦࠃࠅ㧘⺒ᓇකߪ⥄ࠄߩ ⺒ᓇ⚿ᨐ߇ᱜߒ߆ߞߚߩ߆ߤ߁߆ࠍ⍮ࠆߎߣ߇ ߢ߈ࠆ㧚ߎߩࠃ߁ߥ⺒ᓇක߳ߩ⏕ቯ⸻ᢿ⚿ᨐߩ ࡈࠖ࠼ࡃ࠶ࠢߪ㧘⺒ᓇߩ⾰ߩะߦᓎ┙ߟߣ ࠊ ࠇ ߡ ࠆ [8]㧚. ࿑ 1 PET ⸻ ᢿ ࡊ ࡠ ࠬ ࿑ 2.3. PET ↹ DB 䉕↪ 䈇䈢⸻ ᢿ ᡰ េ 2.2 ߢ ㅀ ߴ ߚ ࠃ ߁ ߦ 㧘 ⺒ ᓇ ᤨ ߦ ↢ ߓ ࠆ ක Ꮷ ߩ ⚻ 㛎⊛⍮⼂ࠍ␜⊛ߥ࠺࠲ߣߒߡ⫾Ⓧߢ߈ࠇ߫㧘 ⺒ ᓇ ߩ ᡰ េ ߦ ߥ ࠆ ߣ ⠨ ߃ ࠄ ࠇ ࠆ 㧚ߘ ߎ ߢ ᚒ ߪ ޘ㧘 කቇ⍮⼂ߣ↹࠺࠲ࠍ㧘⺒ᓇᤨߦ⊒↢ߔࠆක Ꮷߩ⍮⼂ߣ⚿߮ߟߌߡ⫾Ⓧߔࠆߎߣߦࠃࠅ㧘 ޟ㑐 ᔃ 㗔 ၞ ߇ ߤ ߩ 㓸 Ⓧ ߦ ⸳ ቯ ߐ ࠇ ߚ ߩ ߆ 㧫 ޠ㧘 ޟฝ ⢖ ߩ⇣Ᏹ㓸Ⓧࠍ␜ߔ㑐ᔃ㗔ၞߩ↹ߪ㧫ߞߣޠ ߚ ᬌ ⚝ ࠍ ታ ߔ ࠆ ߎ ߣ ࠍ ⋡ ᜰ ߒ 㧘 PET ⸻ ᢿ DB ࠍឭ᩺ߒߡ߈ߚ㧚 PET ⸻ ᢿ DB ߪ 㧘ⶄ 㔀 ߥ ක ቇ ⊛ ⍮ ⼂ ߣ ᬌ ᩏ ↹ ࠺ ࠲ ࠍ ⚿ ߮ ઃ ߌ ߡ ߔ ࠆ ߚ ߦ 㧘 ޟ⍮ ⼂ ጀ ޠ ⺒ ޟᓇ ጀ ޟޠRaw Data ጀ ߁ ߣ ޠਃ ߟ ߩ ⺰ ℂ ጀ ߢ ᭴ ᚑ ߐ ࠇ ࠆ [9]㧚 ߎ ߩ ࠃ ߁ ߦ ߔ ࠆ ߎ ߣ ߢ 㧘ᚲ ࡐ ࠻ ਛ ߦ ࠄ ࠇࠆࠃ߁ߥකቇ↪⺆කቇ⊛⍮⼂ߦၮߠߡ㧘 ታ㓙ߩᬌᩏ↹ࠍᬌ⚝ߔࠆߎߣ߇น⢻ߢࠆ㧚 ᧄࡕ࠺࡞ߢߪ㧘ߎߩࠃ߁ߥ↹ߣᚲߩ㑐ㅪࠍ ࠺࠲ߣߒߡᛒ߁ߎߣߢ㧘⺒ᓇකߩ⺒ᓇࡊࡠ ࠬࠍน⢻ߣߒ㧘ᬌ⚝ߦࠃߞߡ⺒ᓇࠍᡰេߔ ࠆߎߣࠍ⋡⊛ߣߔࠆ㧚. 3. PET ↹ DB ࠍ ↪ ߚ ⺒ ᓇ ᡰ េ ᚻ ᴺ 2 ┨ ߢ ㅀ ߴ ߚ PET ⸻ ᢿ DB ߦ ࠃ ߞ ߡ 㧘 PET ↹ ߩᚲߩ߿ᬌ⚝ߪታߐࠇߚ㧚ߘࠇߦട ߃ 㧘 ᧄ ⎇ ⓥ ߢ ߪ PET ⸻ ᢿ ᓟ ߩ ⏕ ቯ ⸻ ᢿ ᖱ ႎ ࠍ DB ߦ ⫾ Ⓧ ߔ ࠆ ߎ ߣ ߦ ࠃ ࠅ ߒ 㧘 ᬌ ⚝ ߦ ࠃ ࠅ ↪ߔࠆߎߣߦࠃߞߡ⺒ᓇᤨߩᡰេߣߥࠆߣ⠨ ߃ࠆ㧚 ⏕ቯ⸻ᢿߩߣᬌ⚝ࠍታߔࠆߚߦ㧘ᧄ Ⓜ ߢ ߪ 㧘⏕ ቯ ⸻ ᢿ ߣ PET ᚲ ߩ 㑐 ㅪ ࠍ ࡕ ࠺ ࡞ ൻ ߒ 㧘 ߘ ߩ ࡕ ࠺ ࡞ ߦ ၮ ߠ ߡ DB ߩ ⸳ ⸘ ߣ ታ ⵝ ࠍ ⴕ ߁ 㧚 ߘ ߒ ߡ ߘ ߩ DB ࠍ ၮ ⋚ ߣ ߒ ߡ ⏕ ቯ ⸻ ᢿ ߩ ⚿ ᨐ ࠍ PET ߩ ⺒ ᓇ ක ߦ ࡈ ࠖ ࠼ ࡃ ࠶ ࠢ ߔ ࠆ ߎ ߣ ߦ ࠃ ࠅ 㧘 PET ⺒ ᓇ ᡰ េ ࠍ ⋡ ᜰ ߔ 㧚 ࠪ ࠬ ࠹ ࡓ ࠕ ࠠ࠹ࠢ࠴ࡖࠍ࿑㧞ߦ␜ߔ㧚. −119− - 3-.
(4) 3.1. ⏕ ቯ ⸻ ᢿ 䈫 PET ᚲ 䈱㑐 ㅪ 䈱䊝䊂䊦ൻ ⏕ቯ⸻ᢿߣ⺒ᓇᚲߩ㑐ㅪࠍᬌ⚝ߔࠆߚ ߦ㧘ታ㓙ߩකᏧߩᚲࡐ࠻ߦၮߠߡ㧘৻ ߟߩㇱߦᚲߣ⏕ቯ⸻ᢿࠍ㑐ㅪઃߌߡߔ ࠆࡕ࠺࡞ߣߒߚ㧚࿑ 3 ߩߪ㧘 ⺒ᓇක A ߇⺒ ᓇࠍⴕߞߚ↹ߦኻߒߡ㑐ᔃ㗔ၞࠍᏀ⢖⪲ S3 ߦ ⸳ ቯ ߒ 㧘⢖ ≸ ߆ Ἳ ∝ ᕈ ∛ ᄌ ߩ ߤ ߜ ࠄ ߆ ߢ ࠆ ߣ ߁ ⸻ ᢿ ࠍ ⴕ ߞ ߚ ߽ ߩ ߢ ࠆ 㧚ߘ ࠇ ߦ ኻ ߒ 㧘 ⺒ᓇක B ߪหߓ↹ߦኻߒߡหߓ㑐ᔃ㗔ၞࠍᏀ ⢖ ⪲ S3 ߦ ⸳ ቯ ߒ ߚ ߇ 㧘 ࠨ ࡞ ࠦ ࠗ ࠼ ࠪ ࠬ ߢ ࠆߣ߁⸻ᢿࠍਅߒߚߣ߁ߎߣࠍߒߡ ࠆ 㧚 ߘ ߩ ᓟ 㧘 ⏕ ቯ ⸻ ᢿ ක C ߇ Ꮐ ⢖ ⪲ S3 ߪ ࠨ ࡞ࠦࠗ࠼ࠪࠬߢߞߚߣ߁⏕ቯ⸻ᢿࠍ⊓㍳ ߒߚߎߣࠍߒߡࠆ㧚 ߎ ߩ ࡕ ࠺ ࡞ ߦ ၮ ߠ ߡ 㧘 DB ߩ ᔨ ࠬ ࠠ ࡑ ࠍ ⸳ ⸘ ߒ 㧘⺰ ℂ ࠬ ࠠ ࡑ ࠍ ታ ⵝ ߒ ߚ (࿑ 4)㧚ߎ ߩ ࠬࠠࡑߩ․ᓽߪ㧘ࡕ࠺࡞ߦၮߠߡ৻ߟߩㇱ ߦኻߒߡⶄᢙߩᚲߣ⏕ቯ⸻ᢿ߇⊓㍳ߢ߈ࠆ ࠃ߁ߦߥߞߡࠆߎߣߢࠆ㧚ᨒߢ࿐߹ࠇߚㇱ ಽ߇㧘ࡕ࠺࡞ൻࠍⴕߞߚㇱಽߦኻᔕߒߡࠆ㧚 ߹ ߢ ߩ ࡕ ࠺ ࡞ [2] ߢ ߪ ⺒ ᓇ ᤨ ߦ ↢ ߓ ࠆ ᖱ ႎ ࠍ Finding ࠹ ࡉ ࡞ ߦ ᩰ ⚊ ߒ ߡ ߚ ߇ 㧘 ࿁ ߪ ߘ ࠇ ߣ㑐ㅪઃߌߡ⏕ቯ⸻ᢿᖱႎࠍᦨ⚳⊛ߥ⸻ᢿ ᖱ ႎ ࠍ FinalDiagnosis ࠹ ࡉ ࡞ ߦ ᩰ ⚊ ߔ ࠆ ߎ ߣ ߣߒߚ㧚. ߩ߹߹ߢߪ࠺࠲ߩ⟜ߢࠆߚ㧘කᏧߦߣ ߞߡ߿ߔ␜ᣇᴺ߇ᔅⷐߢࠆߣ⠨߃ࠆ㧚 ߘ ߎ ߢ 㧘ข ᓧ ߒ ߚ ᖱ ႎ ࠍ ታ 㓙 ߩ ޟᚲ ࡐ ࠻ ޠ ࠍ ෳ ⠨ ߦ ߒ ߡ 㧘ห ߓ ᒻ ᑼ ߢ ␜ ߔ ࠆ ߎ ߣ ߣ ߔ ࠆ 㧚 PET ⸻ ᢿ DB ߪ ක Ꮷ ߩ ᚲ ࡐ ࠻ ࠍ ࡕ ࠺ ࡞ ൻ ߒߡࠆߚ㧘ߘߎ߆ࠄታ㓙ߩᚲࡐ࠻ᒻ ᑼߦౣߔࠆߎߣߪኈᤃߢࠆ㧚 3.⏕ ቯ ⸻ ᢿ ߩ ⊓ ㍳ ⏕ቯ⸻ᢿࠍਅߔ㓙ߦߪ㧘ᚲࡐ࠻ߦ⸥タ ߐࠇߚ⺒ᓇ⚿ᨐࠍෳᾖߒߡ㧘ઁߩࡕ࠳࠹ࠖ╬ ߦࠃࠆᬌᩏࠍⴕ㧘ߘߩ⚿ᨐ⏕ቯ⸻ᢿࠍᓧࠆ㧚 ߘߩ㓙㧘ขᓧߒߚᖱႎࠃࠅߩߤޟㇱߤޟߦޠ ߩࠃ߁ߥ㓸Ⓧ⺒߇ޠᓇߦࠃࠅ⸻ᢿߐࠇߚߩ߆ࠍ ⺒ߺขࠇࠆᔅⷐ߇ࠆ㧚ߘߒߡ㧘ㇱᲤߦ⏕ቯ ⸻ ᢿ ࠍ ⊓ ㍳ ߢ ߈ ࠆ ࠃ ߁ ߦ ߔ ࠆ ᔅ ⷐ ߇ ࠆ 㧚߹ ߚ 㧘 ઁߩࡕ࠳࠹ࠖߦࠃࠆᬌᩏߩ⚿ᨐ㧘⺒ᓇᤨߦ⸒ ߐࠇߥ߆ߞߚㇱߦኻߒߡ⏕ቯ⸻ᢿᖱႎ߇ㅊ ടߐࠇࠆ႐ว߽ࠆ㧚. 3.2. ⏕ ቯ ⸻ ᢿ 䈱⊓ ㍳ 䈮䉋䉎⫾ Ⓧ 䈫 ⏕ቯ⸻ᢿߩ⊓㍳ࠍଦߒ㧘࠺࠲ߦࠃࠆല ᨐࠍᦨᄢ㒢ߦᓧࠆὑߦߪ㧘⏕ቯ⸻ᢿࠍਅߔකᏧ ߇ታ㓙ߩක≮ᬺോߩਛߢⴕ߁ᚻ㗅ࠍ፣ߔߎߣߥ ߊᖱႎ⫾Ⓧࠍⴕߥ߃ࠆࠃ߁ߥࠪࠬ࠹ࡓ߇᳞ࠄ ࠇࠆ㧚ߘߎߢᧄⓂߢߪ㧘⏕ቯ⸻ᢿක߇⺒ᓇᷣᚲ ߳⏕ቯ⸻ᢿࠍ⊓㍳ߔࠆߚߩࠗࡦ࠲ࡈࠚࠬ ߩ ⸳ ⸘ ࠍ ⴕ ߁ 㧚 DB ߳ ߩ ⊓ ㍳ ߩ 㓙 ߦ ߪ 㧘 1.⺒ ᓇ ᷣ ߺ ߩ ᖚ ⠪ ߩ ᚲ ࡐ ࠻ ࠍ ข ᓧ ߔ ࠆ 2.⺒ ᓇ ߦ ࠃ ࠅ ฦ ㇱ ߦ ਅ ߐ ࠇ ߚ ⸻ ᢿ ߦ ኻ ߒ ߡ ⏕ቯ⸻ᢿࠍ⊓㍳ߔࠆ 3.⺒ ᓇ ߢ ߪ ⸒ ߐ ࠇ ߥ ߆ ߞ ߚ ㇱ ߳ ⏕ ቯ ⸻ ᢿ ࠍ⊓㍳ߔࠆ႐ว߽ࠆ ߣ߁ᵹࠇߢⴕࠊࠇࠆࠃ߁ߦߔࠆ㧚߹ߚ㧘⏕ ቯ⸻ᢿߪ․ቯߩකᏧ 1 ੱ߇ⴕ߁ߣ߁ࠊߌߢߪ ߥߚ㧘ߔߢߦ⏕ቯ⸻ᢿ߇⊓㍳ߐࠇߚㇱ߇ ৻⋡ߢࠊ߆ࠆߎߣ߽ᔅⷐߢࠆ㧚એਅ㧘⊓㍳ࠗ ࡦ࠲ࡈࠚࠬߦᔅⷐߣߥࠆᯏ⢻ߦߟߡㅀߔ ࠆ㧚 1.ᖚ ⠪ ߩ ᚲ ࡐ ࠻ ߩ ข ᓧ ⏕ቯ⸻ᢿࠍⴕ߁㓙㧘߹ߕ⏕ቯ⸻ᢿࠍਅߔᬌᩏ ࠍ DB ࠃ ࠅ ข ᓧ ߒ ߥ ߌ ࠇ ߫ ߥ ࠄ ߥ 㧚 ฦ ᚲ ࡐ ࠻ ߦ ߪ ৻ ᗧ ߩ ᖚ ⠪ ID ߦ ࠃ ࠅ ▤ ℂ ߐ ࠇ ߡ ࠆ ߩ ߢ 㧘 ᖚ ⠪ ID ࠃ ࠅ ᬌ ⚝ ࠍ ⴕ ߁ ߎ ߣ ߦ ࠃ ࠅ 㧘 ㆊߦⴕࠊࠇߚᬌᩏߩᖱႎ߇ขᓧߢ߈ࠆ㧚ߘߩ ਛ߆ࠄ⺒ᓇᷣߺߩᬌᩏࠍㆬᛯߒ㧘ߘߩᬌᩏߦኻ ߒߡ⏕ቯ⸻ᢿߩ⚿ᨐࠍ⊓㍳ߔࠆߎߣߦߥࠆ㧚 2.ข ᓧ ߒ ߚ ᖱ ႎ ߩ ␜ ᣇ ᴺ 1 ߢ ข ᓧ ߢ ߈ ࠆ ᖱ ႎ ߪ 㧘DB ߦ ⫾ Ⓧ ߐ ࠇ ߚ ⁁ ᘒ ߢࠆ ߩߢ㧘ߊߟ߆ߩ࠹ࡉ࡞ߣߒߡߐࠇࠆ㧚ߘ. ࿑ 2 ࠪࠬ࠹ࡓࠕࠠ࠹ࠢ࠴ࡖ. ࿑ 3 ⏕ቯ⸻ᢿߣᚲߩࡕ࠺࡞ൻߩ. - 4−120−.
(5) 㪩 㪼 㫃㪸㫋 㫀㫆 㫅 㪧 㪸㫉 㫋 㪩 㪼 㫃㪸㫋 㫀㫆 㫅 㪧 㪢 㪃㪝 㪢 㪈 㪧 㪢 㪃㪝 㪢 㪉 㪧 㪢 㪃㪝 㪢 㪊. 㪧㪢. 㪛 㫀㫊㪼 㪸㫊 㪼 㪩 㪼 㫃㪸㫋 㫀㫆 㫅. 㫉 㪼 㫃㪸㫋 㫀㫆 㫅 㫀㪻. 㫇 㪸㫉 㫋㪈 㫇 㪸㫉 㫋㪉 㫉 㪼 㫃㪸㫋 㫀㫆 㫅 㫀㪻. 㪧 㪢 㪃㪝 㪢 㪈 㪧 㪢 㪃㪝 㪢 㪉 㪧 㪢 㪃㪝 㪢 㪊. 㫃㪸㪹 㪼 㫃 㪸㫅 㫅 㫆 㫋 㪸㫋 㫀㫆 㫅. 㪻 㫀㫊 㪼 㪸㫊 㪼 㪈 㪻 㫀㫊 㪼 㪸㫊 㪼 㪉 㫉 㪼 㫃㪸㫋 㫀㫆 㫅 㫀㪻. 㪛 㫀㫊 㪼 㪸㫊 㪼 㪧 㪸㫉 㫋 㪩 㪼 㫃㪸㫋 㫀㫆 㫅 㪧 㪢 㪃㪝 㪢 㪈 㪧 㪢 㪃㪝 㪢 㪉 㪧 㪢 㪃㪝 㪢 㪊. 㪻 㫀㫊 㪼 㪸㫊 㪼 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫀㪻 㫇 㪸㫉 㫋 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫀㪻 㫉 㪼 㫃㪸㫋 㫀㫆 㫅 㫀㪻. 㪛 㫀㫊 㪼 㪸㫊 㪼 㪚 㫆 㫅 㪺 㪼 㫇 㫋 㪧㪢. 㪧 㪸㫉 㫋 㪚 㫆 㫅 㪺 㪼 㫇 㫋 㪧㪢. 㫇 㪸㫉 㫋 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫀㪻. 㫃㪸㪹 㪼 㫃 㪚㪬㪠 㪸㫅 㫅 㫆 㫋 㪸㫋 㫀㫆 㫅 㫇 㫆 㫊 㫀㫋 㫀㫍㪼㪶㫅 㪼 㪾 㪸㫋 㫀㫍㪼. 㪧 㪸㫉 㫋 㪛 㫀㫊 㪼 㪸㫊 㪼 㪩 㪼 㫃㪸㫋 㫀㫆 㫅. 㫃㪸㪹 㪼 㫃 㪚㪬㪠 㪸㫅 㫅 㫆 㫋 㪸㫋 㫀㫆 㫅. 㪧 㪢 㪃㪝 㪢 㪉 㪧 㪢 㪃㪝 㪢 㪈 㪧 㪢 㪃㪝 㪢 㪊. 㪻 㫀㫊㪼 㪸㫊 㪼 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫀㪻. 㫇 㪸㫉 㫋 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫀㪻 㪻 㫀㫊 㪼 㪸㫊 㪼 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫀㪻 㫉 㪼 㫃㪸㫋 㫀㫆 㫅 㫀㪻. 㪝 㫀㫅 㪻 㫀㫅 㪾 㪧㪢. 㪝㪢㪈 㪝㪢㪉. 㪧 㪸㫉 㫋 㪧㪢 㪝㪢 㪈 㪝㪢 㪉. 㫇 㪸㫉 㫋 㫀㪻. 㪽㫀㫅 㪻 㫀㫅 㪾 㫀㪻 㫀㫅 㫋 㪼 㫉 㫇 㫉 㪼 㫋 㪼 㫉 㪻 㫀㫊 㪼 㪸㫊 㪼 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫇 㪸㫉 㫋 㪸㫅 㫅 㫆 㫋 㪸㫋 㫀㫆 㫅 㫉 㫆 㫀㫀㪻. 㫇 㪸㫉 㫋 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫊㫋㫌 㪻 㫐. 㪝 㫀㫅 㪸㫃㪛 㫀㪸㪾 㫅 㫆 㫊㫀㫊 㪧㪢. 㪽㫀㫅 㪸㫃㪻 㫀㪸㪾 㫅 㫆 㫊 㫀㫊 㫀㪻. 㪝㪢 㪈 㪝㪢 㪉. 㪻 㫀㪸㪾 㫅 㫆 㫊 㫋 㫀㪺 㫀㪸㫅 㪻 㫀㫊 㪼 㪸㫊 㪼 㪺 㫆 㫅 㪺 㪼 㫇 㫋 㫇 㪸㫉 㫋 㪸㫅 㫅 㫆 㫋 㪸㫋 㫀㫆 㫅. 㪩㫆㫀. 㪪 㫃㫀㪺 㪼 㪠㫄 㪸㪾 㪼 㪧 㪸㫋 㫀㪼 㫅 㫋 㪧㪢. 㪪 㫋㫌 㪻 㫐. 㫇 㪸㫋 㫀㪼 㫅 㫋 㫀㪻. 㪧㪢. 㫊 㫋 㫌 㪻 㫐㫀㪻. 㫅 㪸㫄 㪼 㪹 㫀㫉 㫋 㪿 㪻 㪸㫋 㪼 㫊㪼 㫏. 㪝㪢 㪈. 㫇 㪸㫋 㫀㪼 㫅 㫋 㫀㪻 㪻 㪸㫋 㪼 㫋 㫀㫄 㪼 㪿 㪼 㫀㪾 㪿 㫋 㫎 㪼 㫀㪾㪿 㫋 㫆㫉㪻 㪼㫉. 㪧 㪢 㪃㪝 㪢 㪈 㪧㪢. 㫊㫋 㫌 㪻 㫐㫀㪻 㫊㫃㫀㪺 㪼 㫅 㫌 㫄 㪹 㪼 㫉 㫀㫄 㪸㪾 㪼. 㪧㪢 㪧 㪢 㪃㪝 㪢 㪈 㪧㪢 㪧㪢 㪧㪢. 㫉 㫆 㫀㫀㪻 㫊 㫋 㫌 㪻 㫐㫀㪻 㫊 㫃㫀㪺 㪼 㫅 㫌 㫄 㪹 㪼 㫉 㫏 㫐 㫊㫌 㫍 㪸㫅 㫅 㫆 㫋 㪸㫋 㫀㫆 㫅. ࿑ 4 PET ⸻ ᢿ DB ⺰ ℂ ࠬ ࠠ ࡑ 3.3. ⏕ ቯ ⸻ ᢿ ߩ ᬌ ⚝ ߦ ࠃ ࠆ ⺒ ᓇ ᡰ េ ⏕ቯ⸻ᢿᖱႎࠍ⫾Ⓧߔࠆߎߣߦࠃࠅน⢻ߣ ߥࠆ↪ߥᖱႎࠍࡊࡒ࠹ࠖࡉߦಽഀߒ㧘ߘࠇ ߙࠇߦኻᔕߒߚᬌ⚝᧦ઙࠍ⸳ቯߒߡขᓧߒ㧘⺒ ᓇකߦឭ␜ߔࠆߎߣߦࠃߞߡ⺒ᓇᡰេߩᚻᴺࠍ ឭ᩺ߔࠆ㧚↪ߥᖱႎߩᬌ⚝ߦߟߡߪએਅߩ ࠃ߁ߥ߽ߩ߇⠨߃ࠄࠇࠆ㧚 1.ᜰ ቯ ߒ ߚ ㇱ Ფ ߩ ᬌ ⚝ ⺒ᓇࠍⴕ߁㓙㧘ᵈ⋡ߒߡࠆ㓸Ⓧ߇ߤ߁߁ ∝ ⁁ ߦ ࠃ ࠆ ߽ ߩ ߥ ߩ ߆ ߩ ್ ᢿ ߪ 㧘 ߢ ߪ CT ߿ MRI ߥ ߤ ߩ ઁ ߩ ⸻ ᢿ ↹ ߣ ߩ Ყ セ ߿ 㧘⺒ ᓇ ක Ꮷߩ⍮⼂ߣ⚻㛎ࠍ㗬ࠅߦߒߚ⸻ᢿ߇ⴕࠊࠇߡ ࠆ 㧚 ߒ ߆ ߒ 㧘 PET ⸻ ᢿ DB ߢ ߪ 㧘 ⺒ ᓇ ߇ ⴕ ࠊ ࠇ ߚฦㇱߦኻߒߡ⏕ቯ⸻ᢿࠍ㑐ㅪઃߌߡ⊓㍳ߒ ߡࠆߚ㧘․ቯߩㇱࠍࠠߣߒߚᬌ⚝ࠍⴕ ߁ߎߣ߇น⢻ߢࠅ㧘ߘࠇߦࠃࠅㆊߦⴕࠊࠇ ߚᬌᩏ↹ߣߘࠇߦઃ㓐ߔࠆᖱႎࠍขᓧߔࠆߎ ߣ ߇ น ⢻ ߢ ࠆ 㧚 ߎ ࠇ ߦ ࠃ ࠅ 㧘 DB ߦ ⫾ Ⓧ ߐ ࠇ ߡࠆ㧘∝⁁ߩ⏕ቯߒߚᬌᩏ↹ߣ⺒ᓇਛ ߩ↹ߣࠍᲧセߔࠆߎߣ߇น⢻ߢࠆ㧚߹ߚ㧘. ᧄ DB ߢ ߪ ࠝ ࡦ ࠻ ࡠ ࠫ ࠍ ↪ ߡ ⍮ ⼂ ጀ ߦ ㇱ 㑆 ߩ 㑐 ㅪ ߇ ⸥ ㅀ ߐ ࠇ ߡ ࠆ ߚ 㧘 ޟ⢄ ฝ ⪲ ߦ 㑐 ߔ ࠆ ߆ ⚦ ߚ ߞ ߣޠᬌ ⚝ ߛ ߌ ߢ ߪ ߥ ߊ 㧘 ޟ⢄⤳ߦ 㑐ㅪߔࠆోߡߩㇱߦ㑐ߔࠆߥ߁ࠃ߁ߣޠᄢ ߈ߥಽ㘃ߩᜰቯ߹ߢน⢻ߢࠆ㧚 2.ன 㓁 ᕈ ன 㒶 ᕈ ߣ ᱜ Ᏹ ⇣ Ᏹ ߩ ಽ 㘃 ⺒ ᓇ ߢ ߪ 㓁 ᕈ (≸ ߿ ᖡ ᕈ ⣲ ≌ ╬ )ߣ ್ ᢿ ߐ ࠇ ߚ ߇ ⏕ ቯ ⸻ ᢿ ߢ ߪ 㒶 ᕈ (↢ ℂ ⊛ 㓸 Ⓧ ߿ Ἳ ∝ ╬ )ߣ ⸻ ᢿ ߐ ࠇ ߚ ∝ (ன 㓁 ᕈ )߿ ߘ ߩ ㅒ (ன 㒶 ᕈ )ߩ ࠃ ߁ ߥ∝ߩ↹ࠍಽ㘃ߔࠆߎߣߦࠃࠅ㧘ߤߩࠃ߁ ߥ 㓸 Ⓧ ߇ ன 㒶 ᕈ (or ன 㓁 ᕈ )ߣ ⸻ ᢿ ߐ ࠇ ߿ ߔ ߩ ߆ߣߞߚߎߣࠍ⍮ࠆߎߣ߇ߢ߈㧘↪ߢࠆ ߣ⠨߃ࠆ㧚 ன㓁ᕈன㒶ᕈ߇⺒ᓇ⚿ᨐߣ⏕ቯ⸻ᢿߩᲧセ ߦࠃࠆ߽ߩߦኻߒߡ㧘ᱜᏱ⇣Ᏹߪ⏕ቯ⸻ ᢿߩ⚿ᨐߩߺࠍෳᾖߒߚಽ㘃ಽߌߣߥࠆ㧚ߘߒ ߡ㧘ᄙߊߩ∝ߩᖱႎࠍ⫾Ⓧߒߡߊߎߣߦࠃ ࠅ 㧘 ᱜ Ᏹ 㓸 Ⓧ ߩ SUV M A X ▸ ࿐ ( ᱜ Ᏹ ߥ ႐ ว ߩ SUV MAX ᦨ ᄢ ୯ 㧘 ᐔ ဋ ୯ )ߣ ⇣ Ᏹ 㓸 Ⓧ ߩ SUV MAX ▸ ࿐ (⇣ Ᏹ ߥ ႐ ว ߩ SUV M AX ᦨ ዊ ୯ 㧘 ᐔ ဋ ୯ )ࠍ. - 5−121−.
(6) ㇱߏߣߦឭ␜ߔࠆߎߣ߇น⢻ߣߥࠅ㧘⺒ᓇਛ ߩ ↹ ߩ ᵈ ⋡ ߒ ߚ ㇱ ߩ SUV MAX ߣ ߩ Ყ セ ߇ น ⢻ߣߥࠅ㧘⸻ᢿࠍਅߔ㓙ߩᜰᮡߣߥࠅ߃ࠆߣ⠨ ߃ࠆ㧚 3. ⺒ ᓇ ਛ ߩ ↹ ߦ ⸳ ቯ ߐ ࠇ ߚ ROI ࠍ ࠠ ߣߒߚᬌ⚝ ⺒ᓇᤨߦᵈ⋡ߒߡࠆ㗔ၞ߇ߤߩㇱߢ ࠆ߆หቯߔࠆߎߣ߇࿎㔍ߥ႐ว߽ߎࠅ߁ࠆߚ 㧘 ⺒ ᓇ ਛ ߩ ↹ ߦ ⸳ ቯ ߐ ࠇ ߚ ROI ߆ ࠄ ข ᓧ ߢ ߈ ࠆ SUV MAX ୯ 㧘 ᐳ ᮡ ୯ ߣ ߞ ߚ ߽ ߩ ࠍ ↪ߒߡᬌ⚝ࠍⴕ߃ࠆߎߣ߽ᔅⷐߢࠆߣ⠨߃ࠆ㧚 ߩ ࡕ ࠺ ࡞ ߢ ߪ 㧘 DB ߦ ࠬ ࠗ ࠬ ↹ ߩ ฦ ↹ ⚛ ߏ ߣ ߦ SUV ୯ ߣ ᐳ ᮡ ୯ ߇ ⫾ Ⓧ ߐ ࠇ ߡ ࠆ ߩ ߢ㧘ߎߩࠃ߁ߥᬌ⚝߇น⢻ߣߥߞߡࠆ㧚 4. ⺒ ᓇ ਛ ߩ ᖚ ⠪ ߩ ㆊ ↹ ᬌ ⚝ ᖡᕈ⣲≌ߩㅴⴕౕวߩ್ᢿ߿㧘ᴦ≮ലᨐ್ቯ ╬ ࠍ ⴕ ߁ 㓙 ߦ 㧘 ⺒ ᓇ ߒ ߡ ࠆ ᖚ ⠪ ߦ ߟ ߡ 㧘 ㆊߦⴕࠊࠇߚᬌᩏߩ↹ߣᖱႎ߇ᔅⷐߦߥࠆ ႐ ว ߽ ࠆ ߣ ⠨ ߃ ࠄ ࠇ ࠆ 㧚 ᖚ ⠪ ID ࠍ ၮ ߦ ㆊ ߦⴕࠊࠇߚᬌᩏߩ↹ࠍขᓧߒ㧘␜ߔࠆߎߣ ߦࠃߞߡ㧘ㆊߦߤߩࠃ߁ߥㇱߦߤߩࠃ߁ߥ 㓸Ⓧ߇ߞߚ߆ࠍ⍮ࠆߎߣ߇ߢ߈㧘ߩ↹ ߣߩᲧセ߇น⢻ߣߥࠆ㧚. ߡߊࠆ↹ߪߔߴߡ⏕ቯ⸻ᢿ߇⊓㍳ߐࠇߚ߽ߩ ߦ㒢ቯߒߡࠆ㧚. 5. ⺒ ᓇ ᡰ េ ߩ ߚ ߩ ⹏ ଔ PET ⸻ ᢿ ࠺ ࠲ ࡌ ࠬ ߦ ታ 㓙 ߦ ⹏ ଔ ↪ ߩ ⏕ ቯ ⸻ᢿߩ࠺࠲ࠍ⊓㍳ߒ㧘ታⵝߒߚࠗࡦ࠲ࡈࠚ ࠬࠍ↪ߡᬌ⚝ታ㛎ࠍⴕ㧘ലᕈߦߟߡߩ ⹏ ଔ ࠍ ⴕ ߞ ߚ 㧚ታ 㛎 ߦ ↪ ߚ ࠺ ࠲ ߪ 㧘ᢥ ₂ [2] ߢ ᚑ ߒ ߚ PET ⺒ ᓇ ᮨ ᡆ ࠺ ࠲ ߢ ࠆ 㧚. 5.1. DB 䈮㑐 䈜䉎⹏ ଔ ࿁⏕ቯ⸻ᢿࠍ⫾Ⓧߢ߈ࠆࠃ߁ߦࡕ࠺࡞ൻࠍ ⴕ㧘ⴕࠊࠇߡࠆᬺᚻ㗅╬ࠍᄢ߈ߊᄌ ߃ࠆߎߣߥߊ㧘߹ߢ↪ߐࠇߡߥ߆ߞߚᖱ ႎߩ⫾Ⓧ߇น⢻ߣߥߞߚ㧚ߘߒߡ⫾Ⓧߩ㓙ߦ⺒ ᓇᖱႎߣ㑐ㅪઃߌࠆߎߣߦࠃࠅ㧘⫾Ⓧߐࠇߚ࠺ ࠲ࠍ↪ߒߡ⺒ᓇකߦߣߞߡലߥ᭽ߥޘ ߹ߢߦߥ߆ߞߚᬌ⚝߇น⢻ߣߥߞߚ㧚߹ߚ㧘࠺ ࠲ᵴ↪ߩⷰὐ߆ࠄߡ㧘࠺࠲ߩ㊂ߦ߆߆ࠊ ࠄߥ↪߇น⢻ߣߥߞߡࠆ㧚. 4. PET ⸻ ᢿ DB ࠍ ↪ ߚ ⊓ ㍳ ᬌ ⚝ ࠗ ࡦ ࠲ࡈࠚࠬߩታⵝ 3 ┨ߩ⸳⸘ߦၮߠ߈㧘⏕ቯ⸻ᢿ⊓㍳ߩߚߩ ࠗ ࡦ ࠲ ࡈ ࠚ ࠬ ࠍ ታ ⵝ ߒ ߚ 㧚 ߥ ߅ DBMS ߦ ߪ Microsoft ␠ ߩ SQLServer2005 ࠍ ↪ ߚ 㧚ታ ⵝ ߦ ߪ 㐿 ⊒ ⸒ ⺆ ߣ ߒ ߡ C#ࠍ ↪ ߒ ߚ 㧚. 4.1. ෳ ᾖ 䊶 ⊓ ㍳ 䈱 䈢 䉄 䈱 䉟 䊮 䉺 䊐 䉢 䊷 䉴 䈱 ታ ⵝ ߎ ߩ ࠗ ࡦ ࠲ ࡈ ࠚ ࠬ (࿑ 5)ߢ ߪ 㧘ᖚ ⠪ ߩ ᚲ ࡐ࠻ߩขᓧ㧘ขᓧߒߚᚲߩࡐ࠻ᒻᑼߢ ߩ␜㧘⏕ቯ⸻ᢿߩ⊓㍳ߩᯏ⢻ࠍឭଏߔࠆ㧚ታ ⵝ ߒ ߚ ࠗ ࡦ ࠲ ࡈ ࠚ ࠬ ߢ ߪ 㧘SQL ߦ ࠃ ࠆ ᬌ ⚝ ߣ ⊓㍳㧘ߘߩ⚿ᨐߩ␜ࠍᡰេߔࠆ㧚⸥ߩᯏ⢻ ࠍ ↪ ߔ ࠆ ߦ ߚ ߞ ߡ 㧘SQL ࠍ ࠊ ߕ ߦ 㧘ᬌ ⚝ ᧦ઙࠍജߒߚࠅ㧘ࠬ࠻߆ࠄㆬᛯߒߚࠅߔࠆ ߎ ߣ ߢ 㧘 DB ߳ ߩ ⊓ ㍳ ߿ ᬌ ⚝ ࠍ ⴕ ߁ ᯏ ⢻ ࠍ ឭ ଏ ߔ ࠆ 㧚ߎ ࠇ ߦ ࠃ ߞ ߡ 㧘SQL ߦ ߟ ߡ ߩ ⍮ ⼂ ߇ ߥ ࡙ ࠩ ߿ 㧘 PET ⸻ ᢿ DB ߩ ࠬ ࠠ ࡑ ߦ ߟ ߡ ⍮ࠄߥ࡙߽ࠩ◲නߦࠢࠛࠍታⴕߔࠆߎߣ ߇ߢ߈ࠆ㧚. ࿑ 5 ෳᾖ⊓㍳ࠗࡦ࠲ࡈࠚࠬ. 4.2. ᬌ ⚝ 䈱䈢䉄䈱䉟䊮䉺䊐䉢䊷䉴䈱ታ ⵝ PET ⸻ ᢿ DB ࠍ ↪ ߒ ߡ 㧘 ࠦ ࡦ ࠰ ࡞ ߢ ߩ ⺒ ᓇᤨߦකᏧߦ⺒ᓇ⁁ᴫߦᔕߓߚᬌ⚝⚿ᨐࠍឭ␜ ߔ ࠆ ࠗ ࡦ ࠲ ࡈ ࠚ ࠬ ߩ ታ ⵝ ࠍ ⴕ ߞ ߚ (࿑ 6)㧚 DB ߦ ⫾ Ⓧ ߐ ࠇ ߡ ࠆ ᖱ ႎ ࠍ 㧘 ᬌ ᩏ ↹ ߦ ⸳ ቯ ߐ ࠇ ߚ ROI ߆ ࠄ ข ᓧ ߢ ߈ ࠆ SUV MAX ߩ ୯ ߿ ߘ ߩ ᐳ ᮡ 㧘 ⤳ ེ ᔨ 㧘 ᖚ ⠪ ID ߣ ߞ ߚ ࡊ ࡒ ࠹ ࠖ ࡉ ߥ ᖱ ႎ ߦ ಽ ഀ ߒ 㧘ߘ ࠇ ࠄ ࠍ SQL ߩ ᬌ ⚝ ᢥ ߣ ߒߡ⸳ቯߒ㧘3 ┨ߩ⸳⸘ᣇ㊎ߦၮߠߚᬌ⚝ᯏ ⢻ ߣ 㧘ᬌ ⚝ ߦ ࠃ ࠅ ข ᓧ ߒ ߚ ᖱ ႎ ߆ ࠄ ROI ߩ ⸳ ቯ ߐࠇߚ↹ࠍ␜ߔࠆᯏ⢻ࠍឭଏߔࠆ㧚ขᓧߒ. ࿑ 6 ᬌ⚝ࠗࡦ࠲ࡈࠚࠬ. −122− - 6-.
(7) 5.2. ⏕ ቯ ⸻ ᢿ 䈱⊓ ㍳ 䈮㑐 䈜䉎ᯏ ⢻ ⊛ ⹏ ଔ. 5.3. ⏕ ቯ ⸻ ᢿ 䈱ᬌ ⚝ 䈮㑐 䈜䉎ᯏ ⢻ ⊛ ⹏ ଔ. ࿁ታⵝߒߚࠗࡦ࠲ࡈࠚࠬߢߪ㧘ታ㓙ߩක Ꮷ߇↪ߒߡࠆࡐ࠻ᒻᑼߢ␜ߔࠆߎߣ ߦ ࠃ ࠅ 㧘 DB ߦ ⊓ ㍳ ߐ ࠇ ߡ ࠆ ᖱ ႎ ࠍ 㧘 ࠃ ࠅ ක Ꮷ߇ᘠࠇߚⷞⷡ␜ߢឭ␜ߔࠆߎߣ߇ߢ߈ߚ㧚 㔚ሶࠞ࡞࠹ൻ߇ㅴࠎߢࠆߣߪ߃㧘ଐὼߣߒ ߡᚻᦠ߈ߩᚲࡐ࠻ࠍ↪ߡࠆ∛㒮ߪᄙ ߚ㧘ߎߩ␜ᒻᑼࠍ↪ࠆߎߣߦࠃࠅ㧘ዉ ߩ㓙ߩᛶ᛫ࠍシᷫߢ߈ߚߣ⠨߃ࠆ㧚 ⊓㍳ㇱಽߦ㑐ߒߡߪ㧘⏕ቯ⸻ᢿߣߪᚻⴚ⚿ᨐ ߿ઁߩࡕ࠳࠹ࠖߢߩᬌᩏ╬㧘↪ࠄࠇࠆᣇᴺ ߪ᭽ࠅߢޘ㧘৻⥸ߦߤߩක≮ᯏ㑐ߦ߽⏕ቯ⸻ ᢿࠍਅߔ․ቯߩකᏧ߇ࠆߣ߁ࠊߌߢߪߥ㧚 ታⵝߒߚࠗࡦ࠲ࡈࠚࠬߢߪߘߩὐࠍ⠨ᘦߒ㧘 DB ߦ ࠕ ࠢ ࠬ ߢ ߈ ࠆ Ⅳ Ⴚ ߆ ࠄ ߥ ࠄ ߫ 㧘 ⇣ ߥ ࠆ ႐ᚲߩⶄᢙߩකᏧ߇⊓㍳ࠍⴕ߁ߎߣ߽น⢻ߢ ࠅ㧘ઁߩකᏧ߇⏕ቯ⸻ᢿߩ⊓㍳ࠍⴕߞߚㇱߦ 㑐 ߒ ߡ ߪ ࡐ ࠻ ㇱ ߦ ߽ ᤋ ߐ ࠇ ࠆ 㧚ߘ ߩ ߚ 㧘 ⏕ቯ⸻ᢿකߩߺߥࠄߕ⺒ᓇක߇⥄ಽߩ⺒ᓇߩᱜ ุ⚿ᨐࠍ⍮ࠆߚߦ↪ࠆߎߣ߽น⢻ߢࠅ㧘 ⶄ ᢙ ੱ ߦ ࠃ ࠆ DB ᖱ ႎ ߩ ߇ ߥ ߐ ࠇ ߚ ߣ ߃ ࠆ㧚. ⏕ቯ⸻ᢿᖱႎࠍ⊓㍳ߒߚ࠺࠲ࡌࠬߦኻ ߒߡ㧘⺒ߩᡰេߦലߣ⠨߃ࠄࠇࠆᬌ⚝ߩߣ ߒߡᰴߩ߽ߩࠍⴕߞߚ㧚ᬌ⚝⚿ᨐߪ↹ߣ↹ ߦઃ㓐ߒߚᖱႎߣߒߡ␜ߐࠇࠆ㧚 Query1 ⺒ ᓇ ᤨ ߦ ⸳ ቯ ߒ ߚ ROI ਛ ߩ SUV MAX ߩ ᐳ ᮡ ㄝ ߢ ㆊ ߦ ࠄ ࠇ ߚ ⏕ ቯ ⸻ ᢿ ߩઃߚᚲ↹ ߎ ߩ ᬌ ⚝ ߢ ߪ 㧘 ක Ꮷ ߇ ⸳ ቯ ߒ ߚ ROI ߩ ਛ ߩ SUV MAX ߩ ୯ ߣ ᐳ ᮡ ࠍ ข ᓧ ߒ 㧘 ߘ ߩ ᐳ ᮡ ࠍ ਛ ᔃ ߣߒߚᒻ▸࿐ౝߢㆊߦ⏕ቯ⸻ᢿ߇⊓㍳ߐࠇ ߚ↹ࠍขᓧߔࠆߎߣ߇ߢ߈ࠆ㧚ߎߩᬌ⚝ߦࠃ ࠅ㧘ᵈ⋡ߒߡࠆᐳᮡㄝߢᵈᗧߔࠆߴ߈ᚲ ߩࠬࠗࠬ↹ࠍ⍮ࠆߎߣ߇ߢ߈ࠆ㧚࠺࠲㊂ ߇Ⴧ߃ࠆߦᓥ㧘ᒰߔࠆᚲ↹ߩ㊂ߪჇ߃ ߡ ߊ ߚ 㧘 ROI ߩ ਛ ߩ SUV MAX ߦ ㄭ 㗅 ߦ 㧘 ขᓧߒߚᚲ↹ࠍ࠰࠻ߔࠆߎߣߦࠃࠅ㧘 ↪ߥᚲ߶ߤߦ␜ߐࠇࠆࠃ߁ߦߔࠆߎߣ ߽ น ⢻ ߢ ࠆ 㧚 1 ߦ X=48㧘Y=80㧘Z=117㧘ඨ ᓘ 50 ߩ ᬌ ⚝ ⚿ ᨐ ࠍ ␜ ߔ 㧚. 1 ․ቯᐳᮡࠍਛᔃߣߒߚ▸࿐ౝߩㆊᚲ. 2 ⢄⤳ߦ㑐ߔࠆ⏕ቯ⸻ᢿઃߩᚲᖱႎ. 3 ன㓁ᕈᬌ⚝. 4 ⢄ ⤳ ߩ SUV MAX ▸ ࿐ ข ᓧ. ᱜᏱ ⇣Ᏹ. 㪤㪠㪥㩿㪪㪬㪭㫄㪸㫏㪀 㪤㪘㪯㩿㪪㪬㪭㫄㪸㫏㪀 㪘㪭㪞㩿㪪㪬㪭㫄㪸㫏㪀 㪎㪇㪉㪊 㪌㪊㪉㪍 㪋㪍㪍㪐 㪍㪐㪎㪇. - 7−123−.
(8) Query2 ⢄ ⤳ ߦ 㑐 ߔ ࠆ ⏕ ቯ ⸻ ᢿ ઃ ߩ ᚲ ↹ ታ 㓙 ߦ ක Ꮷ ߇ ⸻ ᢿ ࠍ ⴕ ߁ 㓙 ߦ ߪ 㧘 ޟ⢄ ⤳ ߣ ޠ ߞ ߚ ࠃ ߁ ߥ ⸥ ㅀ ߢ ߪ ߥ ߊ 㧘 ޟ⢄ S6 ޟ ߿ ޠᏀ ⪲ ᄖߦ߁ࠃ߁ߣޠ㧘ࠃࠅ⚦ߦㇱߩ⸥ㅀ ߇ⴕࠊࠇࠆ႐วߪᄙ߇㧘ᬌ⚝ࠍⴕ߁㓙ߦߪ㧘 PET ߢ ߪ ㇱ ߩ ෩ ኒ ߥ ห ቯ ߇ ࿎ 㔍 ߥ 㗴 ߽ ࠆ ߚ㧘ࠃࠅᐢᔨࠍࠠߣߒߚᬌ⚝߇ᔅⷐߥ ႐ ว ߽ ࠆ ߣ ⠨ ߃ ࠄ ࠇ ࠆ 㧚 PET ⸻ ᢿ DB ߢ ߪ ⍮ ⼂ጀߢකቇ⊛ᔨ㑆ߩ㑐ㅪࠍ▤ℂߒߡࠆߚ㧘 ޟ⢄⤳ߦޠ㑐ߔࠆోߡߩᚲ↹ࠍขᓧߔࠆࠃ ߁ߦᬌ⚝ࠍⴕ߁ߣ㧘 ޟ⢄ ⤳ ߩޠਅ ᔨ ߢ ࠆ ޟ⢄ S6 ޟ ߿ ޠᏀ ⪲ ᄖ ߦ ߡ ో ߩ ߽ ߚ ߞ ߣ ޠ㑐 ߔ ࠆᚲ↹ࠍขᓧߒ㧘␜ߔࠆߎߣ߇ߢ߈ࠆ㧚 ᒰ ὼ 㧘 ޟ⢄ S6 ߩ ߺ ߩ ޠᚲ ↹ ࠍ ข ᓧ ߔ ࠆ ࠃ ߁ ߥ⛉ㄟߺࠍⴕ߁ߎߣ߽น⢻ߢࠆ㧚 2 ߦ⢄⤳ ߩߺߢᬌ⚝ߒߚ႐วߩᬌ⚝⚿ᨐࠍ␜ߔ㧚 Query3 ன 㓁 ᕈ ன 㒶 ᕈ ߩ ᚲ ↹ ታ 㓙 ߩ PET ߩ ⺒ ᓇ ߢ ߪ 㒶 ᕈ ߣ ್ ᢿ ߐ ࠇ ߚ ߦ ߽ 㑐ࠊࠄߕ㧘⏕ቯ⸻ᢿ⚿ᨐߣߒߡߪ㓁ᕈߢࠆࠤ ࠬ ߿ ߘ ߩ ㅒ ߩ ࠤ ࠬ ߽ ࠆ 㧚 Query1㧘 Query2 ߩᬌ⚝ߦࠃߞߡขᓧߒߡ߈ߚᚲ↹ࠍன㓁ᕈ ߣன㒶ᕈߦ⛉ࠅㄟࠎߢಽ㘃ߔࠆߎߣߦࠃࠅ㧘ߤ ߩࠃ߁ߥ࠲ࠗࡊߩ㓸Ⓧ߇⺒ᓇߩ㓙ߦ⺋⸻ߐࠇࠆ ߩ߆ߣߞߚ⺞ᩏ߿⎇ⓥࠍⴕ߁㓙ߦ↪ߔࠆߎ ߣ߇น⢻ߢࠆߣ⠨߃ࠆ㧚߹ߚ㧘⺒ᓇᤨߦෳᾖ ߔࠆߎߣߦࠃߞߡ߽㧘⺒ᓇਛߩ↹ߣߩᲧセ ᬌ⸛ࠍน⢻ߣߒ㧘ᵈᗧࠍ༐ߔࠆߎߣ߇᧪ࠆ ߣ ⠨ ߃ ࠆ 㧚 3 ߦ ன 㓁 ᕈ ࠍ ᬌ ⚝ ߒ ߚ ⚿ ᨐ ࠍ ␜ ߔ 㧚 Query4 ㇱ ߏ ߣ ߩ 㓸 Ⓧ ߩ ᱜ Ᏹ ⇣ Ᏹ ߩ SUV MAX ▸ ࿐ ข ᓧ Query1,Query2 ߩ ᬌ ⚝ ߦ ߅ ߡ 㧘 ข ᓧ ߒ ߚ ᚲ ↹ࠍ߿ߔࠃ߁ߦ⏕ቯ⸻ᢿߢᱜᏱߣ್ᢿ ߐࠇߚ߽ߩ㧘⇣Ᏹߣ್ᢿߐࠇߚ߽ߩࠍಽߌߡ ␜ ߔ ࠆ ߎ ߣ ߇ น ⢻ ߢ ࠆ 㧚߹ ߚ 㧘Query2 ߦ 㑐 ߒ ߡ ߪ 㧘 Quer4 ߩ ಽ 㘃 ߦ 㓙 ߒ ߡ 㧘 ߘ ࠇ ߙ ࠇ ߩ ᚲ ↹ ߩ SUV M AX ߩ ୯ ࠍ ข ᓧ ߔ ࠆ ߎ ߣ ߢ 㧘SUV MAX ߩ▸࿐ࠍ⍮ࠆߎߣ߇น⢻ߣߥࠆ㧚ߎࠇߦࠃࠅ㧘 ᱜ Ᏹ ߣ ⏕ ቯ ⸻ ᢿ ߢ ್ ᢿ ߐ ࠇ ߚ ∝ ߩ SUV MAX ᦨ ᄢ ୯ 㧘⇣ Ᏹ ߣ ್ ᢿ ߐ ࠇ ߚ ∝ ߩ SUV MAX ᦨ ዊ ୯ 㧘 ߹ ߚ ߘ ࠇ ߙ ࠇ ߩ SUV MAX ᐔ ဋ ୯ ࠍ ␜ น ⢻ ߣ ߥ ࠅ㧘ㇱߏߣߩᱜᏱߣ⇣Ᏹߩ▸࿐Ⴚ⇇ߣߞ ߚ߽ߩࠍ⍮ࠆߎߣ߇น⢻ߣߥࠆ㧚 ⺒ᓇࠦࡦ࠰࡞ߩࠞ࠰࡞ࠍวࠊߖߚ↹ ⚛ ߩ SUV ୯ 㧘 ⸳ ቯ ߐ ࠇ ߚ ROI ߩ SUV MAX ୯ 㧘 ߘ ࠇ ߙ ࠇ ߣ ᬌ ⚝ ㇱ ߦ ␜ ߐ ࠇ ߚ SUV MAX ▸ ࿐ ߩ Ყセᬌ⸛ࠍⴕ߁ߎߣߦࠃࠅ㧘⺒ᓇߩ್ᢿࠍⴕ ߁㓙ߩᜰᮡߣߥࠅ߃ࠆߣ⠨߃ࠆ㧚 4 ߦ⢄⤳ߦ 㑐 ߒ ߡ ߩ SUV MAX ▸ ࿐ ข ᓧ ߩ ⚿ ᨐ ࠍ ␜ ߔ 㧚 . 6. ߅ ࠊ ࠅ ߦ ᧄ Ⓜ ߢ ߪ 㧘 PET ⸻ ᢿ DB ࠍ ↪ ߚ ⏕ ቯ ⸻ ᢿ ᖱ ႎߩ⫾Ⓧߣᬌ⚝ߦࠃࠆ⸻ᢿᡰេࠍታߔࠆߚ ߦ DB ߩ ⸳ ⸘ 㨯ታ ⵝ 㧘߅ ࠃ ߮ ⊓ ㍳ᬌ ⚝ ࠗ ࡦ ࠲ ࡈ ࠚ ࠬ ࠍ ⸳ ⸘ 㨯ታ ⵝ ߒ 㧘⏕ ቯ ⸻ ᢿ ࠺ ࠲ ߩ ⊓ ㍳ ߆ ࠄ ↪ ߹ ߢ ߩ 㧘 PET ⸻ ᢿ DB ߦ ኻ ߔ ࠆ ৻ ㅪ ߩ ᠲ ࠍ࡙ࠩߦឭଏߔࠆߎߣ߇น⢻ߣߥߞߚ㧚ߎ ࠇ ߦ ࠃ ࠅ 㧘 PET ⸻ ᢿ DB ࠍ ↪ ߚ ⺒ ᓇ ක ߳ ߩ ᬌ ⚝ߦࠃࠆ⺒ᓇᡰេࠍឭଏߔࠆߎߣ߇ߢ߈ߚ㧚. ᓟߩ⺖㗴ߣߒߡߪ㧘࿁ታⵝߒߚᬌ⚝ߩઁ ߦ⏕ቯ⸻ᢿࠍ↪ߚ↪ߥᡰេᣇᴺࠍ⠨߃ࠆᔅ ⷐ߇ࠆ㧚߹ߚ㧘࿁ߩࠗࡦ࠲ࡈࠚࠬߢߪක Ꮷߦኻߒߡ↹ࠍ␜ߔࠆߎߣ߇ᦨ߽↪ߥᡰ េߦߥࠆߣ߁⸳⸘ᣇ㊎ߩరߦታⵝࠍⴕߞߚ߇㧘 ታ㓙ߦ↪ߔࠆ႐วߦߘࠇߛߌߢචಽߢࠆ߆ ߤ߁߆ߩ⹏ଔ߇߹ߛਇචಽߢࠆߚ㧘කᏧߦ ࠃࠆ⹏ଔታ㛎߇ᔅⷐߢࠆߣ⠨߃ࠆ㧚. ⻢. ㄉ. ᧄ ⎇ ⓥ ࠍ ⴕ ߁ ߦ ߚ ࠅ 㧘ᮮ ᵿ Ꮢ ┙ ᄢ ቇ ක ቇ ㇱ ✢ ක ቇ ᢎ ቶ ߩ ⊓ ⟤ ᄦ ᢎ 㧘㋈ ᧁ ሶ ක Ꮷ 㧘 ઁᄙߊߩᣇߏߩޘදജࠍᓧߚ㧚ߎߎߦᷓߊᗵ⻢ ߩᗧࠍߔࠆ㧚ዏ㧘ᧄ⎇ⓥߩ৻ㇱߪᢥㇱ⑼ቇ⋭ ⑼ ቇ ⎇ ⓥ ⾌ ഥ ㊄ (⺖ 㗴 ⇟ ภ 17700097)ߩ ᡰ េ ߦ ࠃࠆ㧚. ᢥ. ₂. [1]Kazunori SUNAKO, Tetsuya ISHIE, Masaru UEDA, Takashi TOMII, "Introduction and Implementation of a System to Share Findings with ROI for PET Diagnosis Support," icde, p. 1165, 21st International Conference on Data Engineering (ICDE'05), 2005. [2]⍹ ᳯ ື 㧘 ⍾ ሶ ৻ ᓼ 㧘 ን ዏ ᔒ 㧘̌ 㑐 ᔃ 㗔 ၞ ᖱ ႎ ઃ ߈ ↹ ᚲ ࠍ ⫾ Ⓧ ߔ ࠆ WB-PET DB ߩ ᭴ ▽ ߣ ᬌ ⚝ ߦ ࠃ ࠆ ⸻ ᢿ ᡰ េ 㧘̍ᖱ ႎ ಣ ℂ ቇ ળ ⺰ ᢥ ࠺ ࠲ ࡌ ࠬ ,Vol46,No.SIG8(TOD26),pp1-13,June 2005 [3] ␠ ࿅ ᴺ ੱ ᣣ ᧄ ࠕ ࠗ ࠰ ࠻ ࡊ ද ળ HP, http://www.jrias.or.jp/index.cfm/6,0,125,195,html [4]P.D. Shreve, Y. Anzai, R.L. Wahl, “Pitfalls in oncologic and benign variants”, Radiographics, vol. 19, pp. 61-77㧘 1999 [5]Akiko Suzuki, Tsuyoshi Kawano, Nobukazu Takahashi, Jin Lee, Yoshihiro Nakagami, Etsuko Miyagi, Fumiki Hirahara, Shinji Togo, Hiroshi Shimada, Tomio Inoue, “Value of 18F-FDG PET in the detection of peritoneal carcinomatosis”, European Journal of Nuclear Medicine and Molecular Imaging, Vol.31, No.10, pp.1413-1420, 2004 [6] ᣣ ᧄ ᩭ ක ቇ ળ FDG-PET ߇ ࠎ ᬌ ⸻ ࠟ ࠗ ࠼ ࠗ ࡦ , http://www.jsnm.org/ [7]8JIRA/DICOM ᆔ ຬ ળ 㧘 http://www.jfcr.or.jp/DICOM/ [8]ජ ↰ 㓶 㧘 ቝ ㊁ ৻ , ̌ 㨪 ੍ 㒐 ක ቇ ߩ ᤨ ઍ ߦ ߅ ߌ ࠆ ᩭ ක ቇ ⸻ ≮ 㨪 PET ߇ ࠎ ᬌ ⸻ ߩ శ ߣ ᓇ ̍ , ᣣ ᧄ ᩭ ක ቇ ળ ᯏ 㑐 ⚕ , vol.41, no.3, pp.229-234, 2004.9 [9]⍾ ሶ ৻ ᓼ 㧘ᬀ ↰ ⾫ 㧘ን ዏ ᔒ 㧘̌ PET ⸻ ᢿࡊࡠࠬߩࡕ࠺࡞ൻߦࠃࠆකᏧ㑆ߩ⺒ᓇᖱႎ ࠪ ࠬ ࠹ ࡓ ߩ ᭴ ▽ 㧘̍ ᣣ ᧄ ࠺ ࠲ ࡌ ࠬ ቇ ળ DBSJ letters㧘 Vol㧚 5㧘 No㧚 1㧘 2006. −124− - 8-.
(9)
関連したドキュメント
Department of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa (N.F., T.Y., M. Kawashiri, K.H., M.Y.); Department of Pediatrics,
*2 Kanazawa University, Institute of Science and Engineering, Faculty of Geosciences and civil Engineering, Associate Professor. *3 Kanazawa University, Graduate School of
In recent communications we have shown that the dynamics of economic systems can be derived from information asymmetry with respect to Fisher information and that this form
In this diagram, there are the following objects: myFrame of the Frame class, myVal of the Validator class, factory of the VerifierFactory class, out of the PrintStream class,
Then the Spatio-temporal correlations between purpose space of PFLOW Xp and practically acquired data matrix of environment values XEV, for example, EV reservation data at
Therefore, after the foreign trading vessel departs from a port of loading, the shipping company, who files at the port of loading in the Pre-departure filing (the new rules), will
The purpose of the Graduate School of Humanities program in Japanese Humanities is to help students acquire expertise in the field of humanities, including sufficient
Amount of Remuneration, etc. The Company does not pay to Directors who concurrently serve as Executive Officer the remuneration paid to Directors. Therefore, “Number of Persons”