A FORTRAN program for deconvolution analysis using the matrix algorithm method with special reference to renography

Kempi, V.

doi:10.1016/0169-2607(87)90021-6

Cited by 11 publications

(11 citation statements)

References 15 publications

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“…For the MTT that represents kidney excretion rate, the renal retention function of a corresponding TAC needed to be determined 22. The retention function was calculated from the AIF with a matrix deconvolution algorithm according to Kempi 23. In order to reduce noise and to smooth the curves, a Savitzky-Golay filter was applied on the TACs before deconvolution 24.…”

Section: Study Design and Methodsmentioning

confidence: 99%

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using¹⁸F-FDG PET/MRI

Rasul

Geist

Brath³

et al. 2020

BMJ Open Diab Res Care

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IntroductionInhibitors of sodium-glucose linked transporter-2 (SGLT2i) are enhancing glucose excretion in the proximal renal tubules, and thus are increasingly used to lower blood glucose levels in patients with type 2 diabetes mellitus (T2DM). The glucose analog 2-deoxy-2-(18F) fluoro-D-glucose (FDG) can be used to quantify renal function in vivo, and due to an affinity for SGLT2 could also provide information about SGLT2 transporter function. Our objectives in this study were, therefore, to assess the impact of SGLT2i on renal function parameters in patients with T2DM and identify predictive parameters of long-term response to SGLT2i using dynamic FDG positron emission tomography (PET)/MRI.MethodsPET FDG renal function measures such as mean transit time (MTT) and general renal performance (GRP) together with glomerular filtration rate (GFR) were determined in 20 patients with T2DM before (T2DMbaseline) and 2 weeks after initiation of therapy with SGLT2i (T2DMSGLT2i). Additionally, dynamic FDG PET data of 24 healthy subjects were used as controls.ResultsMTT in T2DMbaseline was significantly higher than in healthy controls (5.7 min vs 4.3 min, p=0.012) and significantly decreased to 4.4 min in T2DMSGLT2i (p=0.004). GRP of T2DMSGLT2i was higher than of T2DMbaseline (5.2 vs 4.7, p=0.02) and higher but not significantly than of healthy individuals (5.2 vs 5.1, p=0.34). Expectedly, GFR of healthy participants was significantly higher than of T2DMbaseline and T2DMSGLT2i (122 vs 92 and 86 mL/min/1.73 m², respectively; p<0.001). The higher the GRP value in kidneys of T2DMSGLT2i, the lower was the glycated hemoglobin level 3 months after therapy initiation.ConclusionMTT and GRP values of patients with T2DM shifted significantly toward values of healthy control 2 weeks after therapy with SGLT2i begins. GRP in T2DMSGLT2i was associated with better long-term glycemic response 3 months after initiation of therapy.Trial registration numberNCT03557138.

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Section: Study Design and Methodsmentioning

confidence: 99%

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using¹⁸F-FDG PET/MRI

Rasul

Geist

Brath³

et al. 2020

BMJ Open Diab Res Care

View full text Add to dashboard Cite

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“…The blood background ROI was defined by a rectangle, the height of which was identical to that of the largest kidney and the width of which was maximized making sure that the ureters, the pelves and the urinary bladder were excluded. The blood ROI was normalized to a constant size to standardize the amplitude of the retention function in order to make direct comparisons possible (10).…”

Section: Methodsmentioning

confidence: 99%

“…Before calculating curve parameters in conventional renography and deconvolution, the renal time-activity curves (TAC) were corrected by normalized background-subtraction which is a sim ple and straightforward technique, and probably still the most common in renography. A vascular spike (10,11) on the TAC, frequently observed at 30 sec after injection, i.e., the second curve point, was removed by bounding (10). The TAC were then subjected to three smooths using the smoothing operator (9,12,17).…”

Section: Methodsmentioning

confidence: 99%

“…The TAC were then subjected to three smooths using the smoothing operator (9,12,17). Prior to deconvolution, the data points of the first frame were excluded from calculations (10).…”

Section: Methodsmentioning

confidence: 99%

“…To address this problem, a variant of the AMA technique (AMA+) in which the AMA parameters were combined with the amplitude from the matrix algorithm was also entered to the study. In all cases, the MaxTT was defined as the time at which the retention function crossed the time-axis and the MTT as the area under the retention curve, divided by its amplitude (10,12).…”

Section: Deconvolution Techniques and Parametersmentioning

confidence: 99%

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Logistic Regression Analysis

2005

Dictionary of Statistics &Amp; Methodology

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Methods: Seventy patients with established diagnoses of nor mal, parenchymally insufficient or acutely obstructed kidneys were subjected to gamma camera renography. Deconvolution was then performed using three main techniques subdivided into six variants. Parameters from time-activity curves as well as retention curves were calculated. Logistic regression analysis was performed to assess the ability of renography and deconvolution methods to differentiate between kidney groups. Re sults: Discriminationbetween the groupswas achieved by stan dard renography using six of 17 tested renogram parameters. Based on a set of six curve parameters, the correct classification rates ranged 86%-100%. Five of the six variants of the deconvolution technique used produced similar results. None, how ever, produced results which were as robust as those from renography. The sixth deconvolution method was consistently worse than the others. Conclusion: Standard renography was consistently better than any of the deconvolution techniques used in the separation of the kidney groups. Conceptually, the results of a logistic regression analysis of renogram parameters may raise possibilities in the field of computer-aided diagnosis.

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Particle-number conservation, causality and linear response in biomedical imaging

Geist

Neufeld

2021

Applied Mathematics and Computation

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A FORTRAN program for deconvolution analysis using the matrix algorithm method with special reference to renography

Cited by 11 publications

References 15 publications

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using¹⁸F-FDG PET/MRI

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using¹⁸F-FDG PET/MRI

Logistic Regression Analysis

Particle-number conservation, causality and linear response in biomedical imaging

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A FORTRAN program for deconvolution analysis using the matrix algorithm method with special reference to renography

Cited by 11 publications

References 15 publications

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using18F-FDG PET/MRI

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using18F-FDG PET/MRI

Logistic Regression Analysis

Particle-number conservation, causality and linear response in biomedical imaging

Contact Info

Product

Resources

About

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using¹⁸F-FDG PET/MRI

Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using¹⁸F-FDG PET/MRI