ライフサイエンスコーパス: compartment model

1 CD1 and C57BL/6, using the standard 2-tissue-compartment model.

2 fter injection using the single-injection, 2-compartment model.

3 ) and fitted the data better than a 1-tissue-compartment model.

4 curves could be described using the 2-tissue-compartment model.

5 abolites were modeled with a first-order one-compartment model.

6 fter injection using the single-injection, 2-compartment model.

7 compartment model was superior to a 1-tissue-compartment model.

8 d model performed marginally better than a 2-compartment model.

9 n the corneal data fit compared with the two-compartment model.

10 IDIFs and myocardium curves to a dual-output compartment model.

11 n/mL of myocardium) was calculated using a 3-compartment model.

12 e to those of 60-min dynamic imaging and a 3-compartment model.

13 n ordinary differential equation-based multi-compartment model.

14 g the arterial input function and a 2-tissue-compartment model.

15 r for the 3-compartment model than for the 2-compartment model.

16 after bolus (15)O-water injection using a 1-compartment model.

17 clearance estimates than the conventional 2-compartment model.

18 bution (VT) was estimated using the 1-tissue-compartment model.

19 in nonuniform regions was described with a 2-compartment model.

20 within 2% of the estimate provided by the 4-compartment model.

21 after bolus (15)O-water injection using a 1-compartment model.

22 curves were better described by the 2-tissue-compartment model.

23 Data were analyzed using a 1-tissue compartment model.

24 C 655649 were dose dependent and fit a three-compartment model.

25 d and tissue tracer activity curves to a two-compartment model.

26 hicknesses, bioelectrical impedance, and a 4-compartment model.

27 ing the graphic technique and the standard 3-compartment model.

28 c analysis technique as well as a standard 3-compartment model.

29 fied version of the previously described two-compartment model.

30 d by numerical simulations of a detailed two-compartment model.

31 ifferent formulations of the standard single-compartment model.

32 DX-8951 were linear and well fit by a three-compartment model.

33 is tracer was best described by the 1-tissue compartment model.

34 m concentration was estimated by using a two-compartment model.

35 ponse to CO2 significantly better than a one-compartment model.

36 in binding potential (k3/k4) in the 2-tissue-compartment model.

37 calculated using the standard single-tissue-compartment model.

38 atography-mass spectrometry, were fit to a 7-compartment model.

39 distribution volume were calculated with a 4-compartment model.

40 sic too and well fitted to a first order two compartment model.

41 Rate constants were calculated by use of a 3-compartment model.

42 O-H2O data, using the standard single-tissue-compartment model.

43 tification programs, using the same 1-tissue-compartment model.

44 uld not be adequately fitted with a 1-tissue-compartment model.

45 n) activity was assessed by a 1- or 2-tissue-compartment model.

46 lgus pancreas was quantified with a 1-tissue-compartment model.

47 eriocular administration can be described by compartment models.

48 can be used as input functions for 2- and 3-compartment models.

49 ed for the men by both HW and AP and for all compartment models.

50 for evaluating %BF estimated by the 2- and 3-compartment models.

51 between the sexes were different across all compartment models.

52 The data were analyzed with 1- and 2-tissue compartment models.

53 rs provide evidence in support of the stable compartments model.

54 g/kg ranged from 49% to 97%, as estimated by compartment modeling.

55 rected plasma input function for traditional compartment modeling.

56 me ratio (DVR) were estimated using 2-tissue-compartment modeling.

57 t a sufficient surrogate of VT from 2-tissue-compartment modeling.

58 versible uptake rate constant) comparable to compartment modeling.

59 volume fraction (VB) were computed by using compartment modeling.

60 ponential analysis (1/k(mono)) or a simple 2-compartment model (1/k(4)).

61 compartmental modeling with 1- and 2-tissue compartment models (1TC and 2TC), data-driven estimation

62 tics were characterized with both a 1-tissue-compartment model (1TCM) and a 2-tissue-compartment mode

63 For kinetic analysis, a 1-tissue compartment model (1TCM) provided a good fit to the data

64 bution (VT) was estimated by 1- and 2-tissue-compartment modeling (1TCM and 2TCM, respectively) and L

65 a 1-tissue-compartment model and a 2-tissue-compartment model (2TCM) with metabolite-corrected plasm

66 tion volumes (V(T), in mL/g) than a 2-tissue compartment model (2TCM).

67 s across regions was the reversible 2-tissue-compartment model (2TCM4k), and 90 min resulted as the o

68 use of reference body-composition methods [4-compartment model (4C) at 2 laboratories and dual-energy

69 lated with 2- and 4-parameter arterial-input compartment models, a 3-parameter reference tissue compa

70 models: irreversible and reversible 2-tissue-compartment models, a reversible 1-tissue model, and 2 m

71 eters were measured with a dual-input single-compartment model: absolute arterial blood flow (F(a)),

72 Fat-free mass (FFM) and fat mass (FM) (4-compartment model), AEE (doubly labeled water and SEE),

73 11)C-MP-10 were well described by a 2-tissue-compartment model, allowing robust estimates of the regi

74 curve fittings are >0.90 using a (18)F-FDG 3-compartment model and >0.99 for Patlak analysis.

75 urves for 90 min were analyzed by a 1-tissue-compartment model and a 2-tissue-compartment model (2TCM

76 e entire age range was well described by a 2-compartment model and a previously reported problem, res

77 ysis of the pancreas was performed using a 1-compartment model and an image-derived input function.

78 f each brain region was calculated using a 3-compartment model and an operational equation that inclu

79 f each brain region was calculated using a 3-compartment model and an operational equation that inclu

80 flux rate was obtained using a single-tissue-compartment model and compared with transmural MBF (MBFT

81 parameters were calculated using a 1-tissue-compartment model and converted to MBF and MFR.

82 e to propofol using a two-dimensional linear compartment model and estimated the model parameters spe

83 The 2-tissue-compartment model and multilinear analysis-1 were applie

84 vity curves were well fitted by the 2-tissue-compartment model and the multilinear analysis-1 (MA1) m

85 implementation of the 2-tissue-irreversible-compartment model and the Patlak method using a descendi

86 tration-time data were fitted into an open 2-compartment model and total clearance, central compartme

87 e estimated by the use of IF(liver) in the 3-compartment model and with those estimated by the Patlak

88 One- and 2-tissue-compartment modeling and linear graphic analysis provide

89 t (1T2K) and 2-tissue 4-rate-constant (2T4K) compartment models and either metabolite-corrected or un

90 ut models; single-tissue and 2-tissue (2TCM) compartment models and plasma-input Logan and reference

91 bution volume ratio estimates obtained using compartment models and simplified methods were highly co

92 g both arterial sampling in combination with compartment models and simplified reference methods.

93 nput functions included 1-, 2-, and 3-tissue-compartment models and the Logan plot.

94 the uptake model, 0.85 and 0.80 for the one-compartment model, and 0.87 and 0.87 for model-independe

95 The kinetic model appears to represent a two-compartment model, and the average retention times for b

96 titative data measurements were based on a 2-compartment model, and the following variables were calc

97 tment models, a 3-parameter reference tissue compartment model, and the Logan graphic approach.

98 TBF was estimated using a standard, single-compartment model, and the replicate data were used to a

99 -independent, optimally described by a three-compartment model, and there was modest drug accumulatio

100 tope labeling experiments and the well-known compartment modeling, and we demonstrate that an appropr

101 From a physiologically based compartment model, aortic contrast enhancement curves we

102 ions and the metabolic rate constants in a 3-compartment model are simultaneously estimated, was used

103 -compartment models compared with DXA and 4 -compartment models are partly attributable to deviations

104 Compartment models are the basis for most physiologicall

105 e-sample method is presented, based on the 3-compartment model as reference standard.

106 A 4-compartment model assessment of body composition was mad

107 ed from the dynamic data by means of a three-compartment model, assuming k4 = 0.

108 Body composition was assessed with a 3-compartment model based on body weight, total body water

109 pididymal adipocytes were analyzed by a four-compartment model based upon steady-state pool sizes of

110 We find that a four-compartment model, based on the known biology of haemato

111 We describe a compartment model-based correction algorithm to deconvol

112 A 3-compartment model best described 18F-FHBG kinetics in mi

113 ice expressing HSV1-sr39tk in the liver; a 2-compartment model best described the kinetics in control

114 The 1-tissue-compartment model best explained the observed brain and

115 triatum, and substantia nigra between the 2T-compartment model BPND and the SRTM BPND (r = 0.57, 0.82

116 n this model, fish were schematized as a six-compartment model by assuming that blood was the medium

117 Convex Analysis of Mixtures - Compartment Modeling (CAM-CM) signal deconvolution tool

118 The model parameter k3 from the 3-compartment model can be used as a noninvasive estimate

119 We found that a three compartment model can describe doxorubicin pharmacokinet

120 A linear two-compartment model characterized total topotecan plasma c

121 Individual variations between 2-compartment models compared with DXA and 4 -compartment

122 compartment model was superior to a 1-tissue-compartment model, consistent with measurable amounts of

123 rmulated a mathematic framework within which compartment models containing unimolecular and bimolecul

124 The compartment model corresponds to the myofibrillar space

125 Different implementations of 1- and 2-compartment models demonstrate an excellent correlation

126 A 2-tissue-compartment model described the data well, and a signifi

127 We constructed three-compartment models describing VEGF isoforms and receptor

128 We constructed a 5-compartment model designed to predict the plasma time-ac

129 Beyond a 2-compartment model, detailed changes in organ and tissue

130 two compartment organism model over a single compartment model due to the differences in ephippial eg

131 The two-compartment model explained the experimental time-series

132 The Ginsburg-Newman three-compartment model explains the offset in terms of differ

133 d the data significantly better than the one-compartment model (F ratio test on residuals).

134 technique to determine whether or not a two-compartment model fits the ventilatory response to CO2 s

135 For BR subjects, the two-compartment model fitted significantly better on 1 out o

136 x out of nine subjects in hyperoxia, the two-compartment model fitted the data significantly better t

137 An unconstrained 2-tissue-compartment model fitted the data well, and distribution

138 partment kinetic model for (82)Rb and to a 3-compartment model for (13)N-ammonia.

139 PET data were analyzed with the 2-tissue-compartment model for (18)F-FDG, and the results were ev

140 rate constants (KRCs) as calculated with a 2-compartment model for both SD1 and SD2 were compared wit

141 nt reports have questioned the traditional 2-compartment model for calculating tracer clearance after

142 models for glutathione metabolites and a two-compartment model for dichloroacetic acid (DCA).

143 kinetics were adequately fit by a catenary 2-compartment model for estimation of tracer distribution

144 ination rates using a simple first-order one-compartment model for selected dioxin congeners based on

145 se a simple scaling argument, derive a multi-compartment model for tumour growth, and consider in viv

146 acted and quantified by SUVs and by 2-tissue-compartment modeling for calculation of distribution vol

147 We added one-compartment models for glutathione metabolites and a two

148 ical relationships to parameterize classical compartment models for infectious micro- and macroparasi

149 As an alternative, we introduce the use of compartment models for interpreting data collected from

150 We introduce a pair of compartment models for the honey bee nest-site selection

151 Body composition was calculated with a 3-compartment model from body mass, body volume (hydrodens

152 perfusion was estimated using 82Rb and a two-compartment model from dynamic PET scans on 11 healthy v

153 The unconstrained 2-tissue-compartment model gave excellent V(T) identifiability (

154 Four-compartment models had the smallest variability across t

155 pt that the Fermi model outperformed the one-compartment model if MPR was used as the outcome measure

156 myocardial blood flow calculated with a two-compartment model in absolute terms.

157 e the bias and agreement between DXA and a 4-compartment model in predicting the percentage of fat ma

158 d Education (ORISE) were based on a simple 3-compartment model in which all activity not measured in

159 A 4-compartment model in which body fat in kg is divided by

160 cokinetic studies were fitted to a linear, 2-compartment model in which dose reduction led to incompl

161 harmacokinetics were best described by a two-compartment model in which weight, severe liver disease,

162 ods that estimate FM, including 2-, 3- and 4-compartment models in pregnant women at term, and to det

163 rovide new evidence in support of the stable compartments model in mammalian cells.The different comp

164 A compartment model, in which the blood input function wit

165 Two-compartment modeling indicated that the second phase of

166 The 2-tissue-compartment model is appropriate to quantify the perfusi

167 A 3-compartment model is used to determine vascular permeabi

168 The median two-compartment model K(21) exchange rate in the tumors, 0.0

169 An integrated software package, Compartment Model Kinetic Analysis Tool (COMKAT), is pre

170 TLAB and call the resultant software COMKAT (Compartment Model Kinetic Analysis Tool).

171 A 3-compartment model led to lower and probably more accurat

172 ssue-compartment model (1TCM) and a 2-tissue-compartment model, Logan graphical methods (both with an

173 tted array and established that a simple two-compartment model may be used to accurately extract intr

174 The F(V) values obtained by using the single-compartment model (mean F(V), 0.47 min(-1)) showed excel

175 two populations of conductance-based, single-compartment model neurons.

176 The 1-tissue-compartment model of (82)Rb tracer kinetics is a reprodu

177 Here a compartment model of a layer 5 pyramidal cell was used t

178 his study was to develop a voltage dependent compartment model of Ca(2+) dynamics in frog skeletal mu

179 A compartment model of Ca(2+) indicated the effect of EGTA

180 pected fluorescence changes, we used a multi-compartment model of Ca2+ movements in the half-sarcomer

181 In this study, we developed a multi-compartment model of cardiac metabolism with detailed pr

182 FMN survival and, second, demonstrate a two-compartment model of CD4+ T cell activation.

183 deuterium bromide dilution tests, and a four-compartment model of FM, total body water (TBW), bone mi

184 state distribution is consistent with a four-compartment model of GLUT1 recycling involving an insuli

185 usion rates were used as inputs to a new two-compartment model of insulin kinetics and hepatic and ex

186 ot that is conceptually related to the three-compartment model of Miller.

187 We have formulated a three-compartment model of muscle activation that includes bot

188 ted approximately 600,000 versions of a four-compartment model of the LP neuron and distributed 11 di

189 this hypothesis is incorporated into a four-compartment model of the root that is conceptually relat

190 We generated a concise single compartment model of the secretion mechanism, fitted to

191 Here we present the development of a new compartment model of the thalamic relay cell guided by t

192 Both two- and one-compartment models of AHCVR were fitted to the data.

193 gests that solute build-up in two- and three-compartment models of the root cannot account for this o

194 with the criterion value calculated by the 4-compartment model on the basis of measurements of body d

195 nificant two-way interaction between sex and compartment model (P < 0.02), indicating that the compar

196 The 3-compartment model parameter, k3, correlated well with th

197 ompartment model (QPET and syngo MBF) or a 1-compartment model (PMOD).

198 The stable compartments model postulates that permanent cisternae c

199 The stable compartments model predicts that each cisterna is a long

200 A plasma input 2-tissue-compartment model provided good fits to the PET data, an

201 sion analysis (NLR) to a reversible 2-tissue-compartment model, providing volumes of distribution (V(

202 rform PET MBF quantification with either a 2-compartment model (QPET and syngo MBF) or a 1-compartmen

203 Pancreatic F(V) values from the single-compartment model ranged from 0.961 to 6.405 min(-1) (me

204 tic equations agreed most closely with the 4-compartment model's measurement of %FM.

205 cMR(glc) value based on IF(blood) and the 3-compartment model served as a standard for comparisons w

206 The 2-compartment model showed poor identifiability of rate co

207 rrelated well with results from the 2-tissue-compartment model, showing that parametric methods can b

208 eocortical pyramidal cells was studied using compartment model simulations.

209 , body composition was assessed by using a 4-compartment model, sleeping and resting energy expenditu

210 Therefore, general-purpose compartment-modeling software distributed with source co

211 ma input function, using the 1- and 2-tissue-compartment models (TCMs) as well as the Logan analysis

212 e found to be systematically lower for the 3-compartment model than for the 2-compartment model.

213 Finally, we show that a three-compartment model that includes a subspace compartment b

214 Here we develop a two-compartment model that quantifies the interplay between

215 But according to the four-compartment model, the asymmetric solute distribution do

216 ngton 4-compartment model, the Wells et al 4-compartment model, the isotope dilution model, dual-ener

217 Six methods (the Pennington 4-compartment model, the Wells et al 4-compartment model,

218 )O-water was performed using a single tissue compartment model to calculate blood flow; a 2-tissue co

219 cted using an irreversible 1-plasma 2-tissue-compartment model to calculate surrogate biomarkers of t

220 erial input function were analyzed using a 3-compartment model to estimate k(3), which represents the

221 MBF-Ace was estimated using a simple 1-compartment model to estimate net tracer uptake, K1 (K1

222 whole brain were quantified using a 1-tissue-compartment model to estimate the rate of entry (K(1)) o

223 Adding a two-compartment model to handle the temporal distribution of

224 h kinetic analysis software using a 1-tissue-compartment model to obtain the uptake rate constant K(1

225 tion, v(p)) were determined by fitting a two-compartment model to plaque and blood gadolinium concent

226 A four-compartment model to simulate calcium transients in non-

227 The fit of the cellular 2-compartment model to the (18)F-FDG CIMR measurements was

228 rmined in conscious dogs by applying a three-compartment model to the plasma clearance data of intrav

229 nstrate that an appropriate application of a compartment model to turnover of proteins from mammalian

230 We assessed the abilities of 1-, 2-, and 3-compartment models to kinetically describe cerebral time

231 dium can be quantified using a single-tissue-compartment model together with a metabolite-corrected a

232 Two one-compartment models, together with the physiologically ba

233 We measured total body fat by using a 4-compartment model, trunk fat by using dual-energy X-ray

234 min across confluent EC monolayers using a 2-compartment model under basal culture conditions.

235 e of receptor density) was calculated with a compartment model using brain and arterial plasma data.

236 del of delivery and retention and a 1-tissue-compartment model using the first 10 min of data (1C(10)

237 (18)F-AV45 VT was determined from 2-tissue-compartment modeling using a metabolite-corrected plasma

238 curves (tissue curves) were fit to 2- and 3-compartment models using Levenberg-Marquardt nonlinear r

239 alyzed by Logan plots and by 1- and 2-tissue-compartment models using unbound, unmetabolized arterial

240 VT values were obtained from different compartment models, using different input functions with

241 A 2-compartment model was able to describe (18)F-FDOPA kinet

242 A 2-compartment model was able to describe (18)F-FDOPA kinet

243 A one-compartment model was applied by using the aortic and pa

244 A one-compartment model was applied to each set of time-enhanc

245 A cellular 2-compartment model was applied to estimate the cellular p

246 ce after a single intravenous injection, a 3-compartment model was evaluated in this study.

247 A 2-compartment model was fitted by Bayesian regression to y

248 A 2-tissue-compartment model was fitted to the PET data, using meta

249 A single-sample procedure based on the 3-compartment model was found to eliminate most of the kno

250 The 2-parameter arterial-input compartment model was statistically superior to the 4-pa

251 brain and plasma data showed that a 2-tissue-compartment model was superior to a 1-tissue-compartment

252 brain and plasma data showed that a 2-tissue-compartment model was superior to a 1-tissue-compartment

253 A three-compartment model was used to analyze the metabolic flux

254 A dual-input single-compartment model was used to compute parameters includi

255 In addition, a 2-tissue-compartment model was used to compute the volume of dist

256 A 2-tissue-compartment model was used to determine BPND for the str

257 nt model to calculate blood flow; a 2-tissue compartment model was used to estimate (18)F-FDG rate pa

258 A standard 2-compartment model was used to measure (18)F-FDG kinetic

259 constant K1, determined using the standard 3-compartment model, was used as an index of blood flow ch

260 roscopies, positron emission tomography, and compartment modeling, we demonstrate that siRNA nanopart

261 and K(FDG) estimated by IF(blood) and the 3-compartment model were 0.22 +/- 0.05 mL/min/g, 0.48 +/-

262 After compartment models were evaluated, (11)C-(+)-PHNO volume

263 Tissue compartment models were not able to describe the kinetic

264 Results: Tissue compartment models were not able to describe the kinetic

265 ues obtained with the 1-tissue- and 2-tissue-compartment models were similar to values obtained with

266 plot analysis) and brain kinetics (2-tissue-compartment model) were characterized with either a meas

267 Here, we propose a multi-compartment model which mimics the dynamics of tumoural

268 The irreversible 3-tissue-compartment model, which included both the parent and th

269 kinetics were well described by the 1-tissue-compartment model, which was used to provide estimates f

270 A 2-compartment model with 4 rate constants adequately descr

271 mong the 6 models investigated, the 2-tissue-compartment model with arterial input described the time

272 ial, BP(ND)) were analyzed with a two-tissue compartment model with arterial input function.

273 were analyzed using the validated two-tissue compartment model with arterial plasma input function wi

274 e-activity curve using a reversible 2-tissue-compartment model with blood volume fraction.

275 tion criterion, the reversible single-tissue-compartment model with blood volume parameter was the pr

276 est fits were obtained using an irreversible compartment model with blood volume parameter.

277 A reversible single-tissue-compartment model with blood volume seems to be a good c

278 A 3-compartment model with corrections for metabolites and p

279 A 3-compartment model with corrections for tissue blood volu

280 kinetics, which could be described by a two-compartment model with fast and slow washout rates.

281 A one-compartment model with first-order absorption and dispos

282 A 1-compartment model with first-order absorption and elimin

283 FOR RANIBIZUMAB WERE BEST DESCRIBED BY A ONE-COMPARTMENT MODEL WITH FIRST-ORDER ABSORPTION INTO AND F

284 of BSH was found to be consistent with a two-compartment model with first-order elimination from the

285 the beginning of hypercapnia and a 1-tissue-compartment model with flow-dependent extraction correct

286 arable to those of the irreversible 2-tissue-compartment model with only a parent input function, ind

287 We develop a quantitative three-compartment model with predictive power regarding the dy

288 Using analytical solutions to the three-compartment model with the Levenberg-Marquardt minimizat

289 day and analyzed using single- and 2-tissue-compartment models with and without a blood volume param

290 The data were fit to different compartment models with first-order input and dispositio

291 hermore, the PBTK model outperformed the one-compartment models with respect to simulating chemical c

292 pathways were interpreted mathematically as compartment models with transition rates between stages

293 ansfer compartment, retina, and distribution compartment) model with elimination from the periocular

294 te biliary excretion, were best fit by a two compartment model, with both linear and non-linear DTX c

295 ity curves were fitted using 1- and 2-tissue-compartment models, with goodness-of-fit tests showing a

296 bserved no significant differences among the compartment models within each sex for this group of old

297 rfusion under resting conditions using a two-compartment model without the need for blood sampling, p

298 FMAU kinetics were measured using a 3-compartment model yielding the flux (K1 x k3/(k2 + k3))

299 Data were analyzed with a standard 2-tissue-compartment model yielding the unidirectional uptake rat

300 FMZ binding was quantified using a two-compartment model yielding values for the volume of dist