A compartmental model for the distribution of 113min-dtpa and 99mTc-(Sn)DTPA in man following intravenous injection

Houston, A. S.; Sampson, W. F. D.; Macleod, M. A.

doi:10.1016/0047-0740(79)90002-0

Cited by 12 publications

(7 citation statements)

References 3 publications

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“…For the compartmental model, rates per minute are displayed for 20 patients in tables 3 and 4 of Houston et al (1979). Because of the limitations of the data, the assumption of full compartmental connectivity could not be made in that paper.…”

Section: Resultsmentioning

confidence: 99%

“…The compartmental model was first proposed in a previous study (Houston et al 1979) for the distribution of 113m In-DTPA and 99m Tc-DTPA in man following intravenous injection and was designed to account for results obtained from plasma, urine and arm count sampling. The model is depicted in figure 1 and is described by the following differential equations…”

Section: Methodsmentioning

confidence: 99%

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A control systems approach for the simulation of renal dynamic software phantoms for nuclear medicine

Houston¹,

Sampson²,

Jose³

et al. 1999

Phys. Med. Biol.

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For renal dynamic studies, the COST B2 hybrid phantom is an example of an artificially created software phantom. Although this phantom is useful, it is not possible to implement the phantom in a self-consistent fashion to produce, for example, a collection of tracer in the bladder which is related to the flow from the kidneys. In this study control systems are used to provide a self-consistent model. A feed-forward control system was designed for the transport of DTPA in the human body using SIMULINK. The system is based on a three-compartment model described by a set of differential equations with flow rates which may be set by the operator. The differential uptake in the kidneys may also be specified, while the flow of tracer through the renal parenchyma and collecting system of each kidney is determined using two-parameter retention functions. Curves corresponding to normal or pathological conditions may be simulated for plasma, parenchyma, collecting system and bladder by appropriate selection of parameters. The system is user-friendly and can be used to simulate almost all conditions seen in patient studies. The next stage of using this information to design dynamic image simulations is in progress.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A control systems approach for the simulation of renal dynamic software phantoms for nuclear medicine

Houston¹,

Sampson²,

Jose³

et al. 1999

Phys. Med. Biol.

View full text Add to dashboard Cite

show abstract

“…The degradation rate of bound antibody is assumed to be the same in all organs. The submodel for degraded antibody is adopted from Houston et al [ 3 , 28 ]. GI = gastrointestinal tract; Meta = metabolites in plasma; ex 1 , ex 2 = extravascular metabolites; mono = monovalent and bi = bivalent binding.…”

Section: Methodsmentioning

confidence: 99%

Physiologically Based Pharmacokinetic Modeling Is Essential in 90Y-Labeled Anti-CD66 Radioimmunotherapy

et al. 2015

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IntroductionRadioimmunotherapy (RIT) with 90Y-labeled anti-CD66 antibody is used to selectively irradiate the red marrow (RM) before blood stem cell transplantation of acute leukemia patients. To calculate the activity to administer, time-integrated activity coefficients are required. These are estimated prior to therapy using gamma camera and serum measurements after injection of 111In labeled anti-CD66 antibody. Equal pre-therapeutic and therapeutic biodistributions are usually assumed to calculate the coefficients. However, additional measurements during therapy had shown that this assumption had to be abandoned. A physiologically based pharmacokinetic (PBPK) model was developed to allow the prediction of therapeutic time-integrated activity coefficients in eight patients.AimsThe aims of the study were to demonstrate using a larger patient group 1) the need to perform patient-specific dosimetry in 90Y-labeled anti-CD66 RIT, 2) that pre-therapeutic and therapeutic biodistributions differ, and most importantly 3) that this difference in biodistributions can be accurately predicted using a refined model.Materials and MethodsTwo new PBPK models were developed considering fully, half and non-immunoreactive antibodies and constraints for estimating the RM antigen number. Both models were fitted to gamma camera and serum measurements of 27 patients. Akaike weights were used for model averaging. Time-integrated activity coefficients for total body, liver, spleen, RM and serum were calculated. Model-based predictions of the serum biokinetics during therapy were compared to actual measurements.ResultsVariability of the RM time-integrated activity coefficients ((37.3±7.5) h) indicates the need for patient-specific dosimetry. The relative differences between pre-therapeutic and therapeutic serum time-activity curves were (-25±16)%. The prediction accuracy of these differences using the refined PBPK models was (-3±20)%.ConclusionIndividual treatment is needed due to biological differences between patients in RIT with 90Y-labeled anti-CD66 antibody. Differences in pre-therapeutic and therapeutic biokinetics are predominantly caused by different degrees of saturation due to different amounts of administered antibody. These differences could be predicted using the PBPK models.

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“…The theory and practice of quantitative renography with I 131 Hippuran was introduced by Van Stekelen burg et.al [1].The utility and usefulness of the dynamic Tc 99 m DTPA renal scintigraphy for the assessment of glomerular filtration rate was reported by Klopper JF [2]. Houston et.al introduced the four compartmental model analysis and calculation for In 111 DTPA and Tc 99m DTPA renographies [3]. Later it was developed as the Gates formula by Gory F.Gateset.al whcih had been put into use in almost all commercially available software packages [4, 5and 6].…”

Section: Globalize Your Researchmentioning

confidence: 99%

Differential GFR estimation of the double moiety kidneys by modified GATE’S formula

Sivasubramaniyan¹

2021

CMRR

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Aim: This retrospective analysis of the GFR values of the individual moieties obtained by using a novel software with modified GATE’S formula in the in house software created at SSSIHL, compared and evaluated with the value derived by the combined GFR value of the single kidney GFR as obtained from the Icon software loaded in the gamma camera. Materials and Method: This retrospective study of 10patients diagnosed with unilateral double moiety and 5 patients with bilateral duplication was undertaken to validate the modified GATE’S formula in house software created at SSSIHL. This group had 12 males in the age range of 03-66 years with the mean age of 26.5 ± 2 years and 3 females in the age range of 29 – 31 years with mean age of 31 ± 2 years. Renal scans were done using Siemens dual head gamma camera (E.CAM). The radiopharmaceutical 99mTc-DTPA 5 mCi was injected as a bolus intravenously for the adult patients and 3 mCi was injected for the children. The images were obtained and processed by using GFR/Renal differential processing protocol in icon software. Later the raw data of the scan study transferred to the workstation loaded with the in house software created at SSSIHL with modified GATE’S formula created by us. The individual moiety GFR values were calculated using the software with modified Gate’s formula developed in MATLAB GUI algorithm and tabulated. Then the combined value of individual moiety GFR values compared with that of the individual whole kidney GFR value obtained by the Icon software protocol. Result: The T test evaluation done in the online statistical calculator of Maths Portal org revealed that the mean values of the two groups showed no significant difference at p < 0.05. The calculated t value is smaller than the critical value (0.0217 < 2.024), so the means are not significantly different. Pearson Correlation performed between the above two samples using statistical online calculators also showed the correlation coefficient of r = 0.9247 and a mean difference of 0.09 indicating that the high correlation between them. The observed significance p value < 0.0001 at t value of 10.27, showed no significant difference detected between the two samples. Conclusion: It can be concluded that the in house software created at SSSIHL with modified GATE’S formula method of GFR calculating software showed identical values with that of the GFR calculated with the original Gate’s formula. This was found to be useful in calculating the GFR of individual moieties separately in the cases of Double moieties in both Unilateral and Bilateral involvement effectively. The utility and usefulness of the separate estimation of individual moieties GFR needed for Nephron Sparing Surgery.

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A compartmental model for the distribution of 113min-dtpa and 99mTc-(Sn)DTPA in man following intravenous injection

Cited by 12 publications

References 3 publications

A control systems approach for the simulation of renal dynamic software phantoms for nuclear medicine

A control systems approach for the simulation of renal dynamic software phantoms for nuclear medicine

Physiologically Based Pharmacokinetic Modeling Is Essential in 90Y-Labeled Anti-CD66 Radioimmunotherapy

Differential GFR estimation of the double moiety kidneys by modified GATE’S formula

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