Japanese
Title直接積分線形最小2乗法を用いた簡便な99mTc-GSA動態解析法 : 線形3コンパートメントモデルに基づく肝血流, 受容体量指標の算出
Subtitle技術報告
Authors片田竜司*, 秀毛範至*, 斉藤泰博*, 山本和香子*, 油野民雄*, 佐藤順一**, 石川幸雄**
Authors(kana)
Organization*旭川医科大学放射線科, **旭川医科大学放射線部核医学部門
Journal核医学
Volume35
Number2
Page85-91
Year/Month1998/2
Article報告
Publisher日本核医学会
Abstract「要旨」99mTc-DTPA-Galactosyl Human Serum Albumin (99mTc-GSA) を用いた肝アシアロ糖蛋白受容体イメージングにおける肝血流, 受容体量の定量的評価を目的として, 直接積分線形最小2乗法を用いた簡便な動態解析法を考案した. この方法は, Blonqvist らが提案した直接積分線形最小2乗法を用いた線形3コンパートメントモデルの解析法を99mTc-GSA静注後早期の動態に応用したもので, モデルパラメータである肝血流と受容体量指標を簡便に求めるものである. 本法におけるデータ誤差の推定パラメータ値への影響をシミュレーションし, さらに, 35例の肝疾患患者を対象に本法と従来法である非線形最小2乗法を比較した. 結果, データの統計変動に基づく誤差の影響は, 実際上, 無視しうると考えられ, また, 得られた肝血流ならびに受容体量指標に両方法間で良好な相関が認められた(r2 > 0.96, p < 0.0001). 本法は計算に際しパラメータの初期値や繰り返し計算を要せず簡便に肝血流, 受容体量指標の決定が可能であり, 臨床上有用な方法と考えられた.
Practice臨床医学：一般
Keywords99mTc-GSA, Direct integral linear least square regression method, Compartment model analysis, Liver
English
TitleSimple Kinetic Analysis of 99mTc-GSA by Direct Integral Linear Least Square Regression Method : Calculation of Hepatic Blood Flow and Receptor Index Based on Three-Compartment Model
SubtitleTechnical Reports
AuthorsRyuji KATADA*, Noriyuki SHUKE*, Yasuhiro SAITOH*, Wakako YAMAMOTO*, Tamio ABURANO*, Junichi SATO**, Yukio ISHIKAWA**
Authors(kana)
Organization*Department of Radiology, Asahikawa Medical College, **Radiological Service, Asahikawa Medical College
JournalThe Japanese Journal of nuclear medicine
Volume35
Number2
Page85-91
Year/Month1998/2
ArticleReport
PublisherTHE JAPANESE SOCIETY OF NUCLEAR MEDICINE
AbstractTo obtain both hepatic blood flow and an index of asialoglycoprotein receptor amount by simple calculation in the asialoglycoprotein receptor imaging with 99mTc-DTPA-Galactosyl Human Serum Albumin (99mTc-GSA), we have tested the applicability of the direct integral linear least square regression (DILS) method based on a linear 3-compartment model (Bronqvist, 1984) to the kinetic analysis of 99mTc-GSA scintigraphy. DILS method can provide hepatic blood flow (k1) and the product of receptor amount and forward binding rate constant (k1k3/k2) as a receptor index, without requiring iterative calculation and initial estimates of the parameters. To compare DILS method with nonlinear least square regression (NLS) method as a standard, data from 35 patients with liver dysfunction were analyzed by both methods. The effect of the data noise to parameter estimate were simulated, and both DILS and NLS method could provide reliable parameter estimate which is relatively insensitive to the data noise. In estimated model parameters, both hepatic blood flow (k1) and the receptor index (k1k3/k2) showed significant correlation between 2 methods (r2 = 0.96, p < 0.0001; r2 = 0.99, p < 0.0001, respectively). We concluded that DILS method was comparable to NLS method in determination of the model parameters and could be useful in the asialoglycoprotein receptor imaging.
PracticeClinical medicine
Keywords99mTc-GSA, Direct integral linear least square regression method, Compartment model analysis, Liver

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