Japanese
Title負荷デジタル肺血流像 (stress-DPI) による心機能の評価
Subtitle《研究速報》
Authors田中健*, 広沢弘七郎*, 牧正子**, 日下部きよ子**, 山崎統四郎**
Authors(kana)
Organization*日本心臓血圧研究所, **東京女子医科大学放射線科
Journal核医学
Volume17
Number4
Page401-405
Year/Month1980/5
Article報告
Publisher日本核医学会
Abstract「はじめに」肺内血流分布を反映する肺血流像は1963年Taplinらにより導入されたmacroaggregated albumin(MAA)によって得られた. この後各種心肺疾患診断, 肺内血流分布の測定に利用された. また計算機を利用して, デジタル化像, 機能的肺血流像なども得られるようになった. 肺内血流分布は放射性同位元素を利用して研究がなされ, 肺高血圧症の時には, 分布様式が変化することなどが報告されているが, 運動負荷による血流分布様式の変化に関する報告は少ない. すでにデジタル肺血流像(degital perfusion images DPI)は, 僧帽弁狭窄症では様々なパターンを示し, また手術前後で著しく変化することを報告した. 心機能評価には運動負荷前後の比較も重要であるので, 今回運動負荷前後におけるDPIの変化の有無を検討し, 心機能を客観的基準によって分類し得る可能性を得たのでここに報告する.
Practice臨床医学：一般
Keywordsstress-DPI (stress digital perfusion images), cardiac function, noninvasive estimation
English
TitleEstimation of Cardiac Function by Using Stress Digital Perfusion Images (Stress-DPI)
Subtitle
AuthorsTakeshi TANAKA*, Koshichiro HIROSAWA*, Masako MAKI, Kiyoko KUSAKABE, Toshiro YAMAZAKI
Authors(kana)
Organization*Heart Institute Japan, Department of Radiology, Tokyo Womens' Medical College
JournalThe Japanese Journal of nuclear medicine
Volume17
Number4
Page401-405
Year/Month1980/5
ArticleReport
PublisherTHE JAPANESE SOCIETY OF NUCLEAR MEDICINE
AbstractUtility of pulmonary perfusion images treated by computer system (digital perfusion images; DPI) for assessing cardiac function were studied by evaluating changes of DPI under exercise in patients admitted at Heart Institute Japan. DPI before and after exercise were obtained at Department of Radiology Tokyo Womens' Medical College by using ordinary computer system. Patterns of DPI were characterized with hyper, moderately, and hypo-perfused area. DPI at rest were classified to 3 stages, i.e. stage 3=hyperperfused area were dissimilar to normal, stage 2=moderately perfused area were dissimilar to normal, stage 1=almost normal. Changes of DPI were defined as the marked changes of hyperperfused and/or moderately perfused area in DPI. 1-unit exercise was defined as exercise from one floor to next and 4-units (90 seconds) or symptom limited stress were loaded on the patients. Cardiac function were tentatively classified to 5 classes by using changes of DPI and symptom. Lateral DPI proved to be useful to detect changes of DPI, so right lateral DPI of each cases before and after exercise were shown. It might be possible noninvasively and objectively to classify cardiac function. Especially functional class of NYHA I° were subdevided to two classes. This method might be useful both for eary detection of cardiac dysfunction and for presise estimation of results of cardiac surgery. Stress DPI might have promising future because this method is noninvasive, reprodusable, easy (it required only 20 minutes).
PracticeClinical medicine
Keywordsstress-DPI (stress digital perfusion images), cardiac function, noninvasive estimation

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