Is Patlak y-intercept a relevant metrics?

Laffon, Éric; Marthan, Roger

doi:10.1007/s00259-020-04954-0

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…It suffered from substantial measurement uncertainty, hence we would not suggest the clinical use of the intercept image in its current status. 22 The biodistribution results of 18 F-PSMA-11 in the current study were highly similar to other PSMA-targeted radiotracers, which demonstrated high and rapid accu-mulation in the liver, spleen, duodenum, lacrimal glands, and salivary glands. 1,[23][24][25] Additionally, 18 F-PSMA-11 mainly underwent urinary elimination, which was also in line with prior data.…”

Section: Discussionsupporting

confidence: 74%

“…Although the intercept imaging from the Patlak model showed satisfactory visibility of the prostate cancer tissue, it is influenced by several factors and the relative contributions of these factors to the intercept image are unknown and may vary across different tissues and conditions. It suffered from substantial measurement uncertainty, hence we would not suggest the clinical use of the intercept image in its current status 22 …”

Section: Discussionmentioning

confidence: 99%

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Kinetic modeling and parametric imaging of ¹⁸F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Yuan,

Zhang,

Sun

et al. 2023

Medical Physics

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BackgroundThe prostate‐specific membrane antigen (PSMA) targeted positron‐emitting tomography (PET) tracers are increasingly used in clinical practice, with novel tracers constantly being developed. Recently, 18F‐PSMA‐11 has been gaining growing interest for several merits; however, direct in vivo visualization of its kinetic features in humans remains lacking.PurposeTo visualize the kinetic features of 18F‐PSMA‐11 in healthy subjects and patients with prostate cancer derived from the total‐body dynamic PET scans.MethodsA total of 8 healthy volunteers (7 males; 1 female) and 3 patients with prostate cancer underwent total‐body PET/CT imaging at 1 and 2 h post injection (p.i.) of 18F‐PSMA‐11, of which 7 healthy subjects and 3 patients underwent total‐body dynamic PET scans lasting 30 min. Reversible two‐tissue compartments (2TC) and Patlak models were fitted based on the voxel‐based time activity curves (TACs), with the parametric images generated subsequently. Additionally, semi‐automated segmentation of multiple organs was performed in the dynamic images to measure the SUVmean at different time points and in the parametric images to estimate the mean value of the kinetic parameters of these organs.Results18F‐PSMA‐11 showed quick accumulation within prostate cancer, as early as 45 s after tracer injection. It was rapidly cleared from blood circulation and predominantly excreted through the urinary system. High and rapid radiotracer accumulation was observed in the liver, spleen, lacrimal glands, and salivary glands, whereas gradual accumulation was observed in the skeleton. Prostate cancer tissue is visualized in all parametric images, and best seen in DV and Patlak Ki images. Patlak Ki showed a good correlation with 2TC Ki values (r = 0.858, p < 0.05) but less noise than 2TC images. A scanning time point of 30–35 min p.i. was then suggested for satisfactory tumor to background ratio.ConclusionProstate cancer tissue is visible in most parametric images, and is better shown by Patlak Ki and 2TC DV images. Patlak Ki is consistent with, and thus is preferred over, 2TC Ki images for substantially quicker calculation. Based on the dynamic imaging analysis, a shorter uptake time (30–35 min) might be preferred for a better balance of tumor to background ratio.

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Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Kinetic modeling and parametric imaging of ¹⁸F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Yuan,

Zhang,

Sun

et al. 2023

Medical Physics

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“…The apparent distribution volume, DV FDG , is approximately equal to the sum of the blood volume and distribution volume of the reversible components, which both varies between tissues and cannot be separated by the Patlak model [ 14 ]. A separate estimate of the blood volume would require full kinetic modelling.…”

Section: Methodsmentioning

confidence: 99%

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

et al. 2022

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Background Dynamic whole-body (D-WB) FDG PET/CT is a recently developed technique that allows direct reconstruction of multiparametric images of metabolic rate of FDG uptake (MRFDG) and “free” FDG (DVFDG). Multiparametric images have a markedly different appearance than the conventional SUV images obtained by static PET imaging, and normal values of MRFDG and DVFDG in frequently used reference tissues and organs are lacking. The aim of this study was therefore to: (1) provide an overview of normal MRFDG and DVFDG values and range of variation in organs and tissues; (2) analyse organ time-activity curves (TACs); (3) validate the accuracy of directly reconstructed MRFDG tissue values versus manually calculated Ki (and MRFDG) values; and (4) explore correlations between demographics, blood glucose levels and MRFDG values. D-WB data from 126 prospectively recruited patients (100 without diabetes and 26 with diabetes) were retrospectively analysed. Participants were scanned using a 70-min multiparametric PET acquisition protocol on a Siemens Biograph Vision 600 PET/CT scanner. 13 regions (bone, brain grey and white matter, colon, heart, kidney, liver, lung, skeletal muscle of the back and thigh, pancreas, spleen, and stomach) as well as representative pathological findings were manually delineated, and values of static PET (SUV), D-WB PET (Ki, MRFDG and DVFDG) and individual TACs were extracted. Multiparametric values were compared with manual TAC-based calculations of Ki and MRFDG, and correlations with blood glucose, age, weight, BMI, and injected tracer dose were explored. Results Tissue and organ MRFDG values showed little variation, comparable to corresponding SUV variation. All regional TACs were in line with previously published FDG kinetics, and the multiparametric metrics correlated well with manual TAC-based calculations (r2 = 0.97, p < 0.0001). No correlations were observed between glucose levels and MRFDG in tissues known not to be substrate driven, while tissues with substrate driven glucose uptake had significantly correlated glucose levels and MRFDG values. Conclusion The multiparametric D-WB PET scan protocol provides normal MRFDG values with little inter-subject variation and in agreement with manual TAC-based calculations and literature values. The technique therefore facilitates both accurate clinical reports and simpler acquisition of quantitative estimates of whole-body tissue glucose metabolism.

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“…where CT and CP denote the concentration of tissue and plasma, respectively. The macro kinetic parameter Ki represents the net uptake rate of tracer, and intercept represents the combination of blood volume and distribution volume of reversible compartment in an unknown fraction [27].…”

Section: Kinetic Modelingmentioning

confidence: 99%

Framing protocol optimization in oncological Patlak parametric imaging with uKinetics

Zeng

Zhao

et al. 2023

Preprint

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Purpose Total-body PET imaging with ultra-high sensitivity makes high-temporal-resolution framing protocols possible for the first time, which allows to capture rapid tracer dynamic changes. However, whether protocols with higher number of temporal frames can justify the efficacy with substantially added computation burden for clinical application remains unclear. We have developed a kinetic modeling software package (uKinetics). The aim of this work is to verify the uKinetics with PMOD and to perform framing protocol optimization for the oncological Patlak parametric imaging. Methods Six different protocols with 100, 61, 48, 29, 19 and 12 temporal frames were applied to analyzing 60-min dynamic 18F-FDG PET scans of 10 patients, respectively. Voxel-based Patlak analysis coupled with image-derived input function was applied to generate parametric images. Normal tissues and lesions were segmented to perform correlation analysis and Bland-Altman plots. Different protocols were compared with the protocol of 100 frames as reference. Results Minor differences were found between uKinetics and PMOD in the Patlak parametric imaging. Compared with the protocol with 100 frames, the relative difference of the input function and quantitative kinetic parameters remained low for protocols with at least 29 frames, but increased for the protocols with 19 and 12 frames. Significant difference of lesion Ki values was found between the protocols with 100 frames and 12 frames. Conclusion uKinetics was proved providing equivalent oncological Patlak parametric imaging comparing to PMOD. Minor differences were found between protocols with 100 and 29 frames, which indicated that 29 frames is sufficient and efficient for the oncological 18F-FDG Patlak applications, and the protocols with more frames are not needed. The protocol with 19 frames yielded acceptable results, while that with 12 frames is not recommended.

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Is Patlak y-intercept a relevant metrics?

Cited by 10 publications

References 10 publications

Kinetic modeling and parametric imaging of ¹⁸F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Kinetic modeling and parametric imaging of ¹⁸F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

Framing protocol optimization in oncological Patlak parametric imaging with uKinetics

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Is Patlak y-intercept a relevant metrics?

Cited by 10 publications

References 10 publications

Kinetic modeling and parametric imaging of 18F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Kinetic modeling and parametric imaging of 18F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients

Framing protocol optimization in oncological Patlak parametric imaging with uKinetics

Contact Info

Product

Resources

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Kinetic modeling and parametric imaging of ¹⁸F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans

Kinetic modeling and parametric imaging of ¹⁸F‐PSMA‐11: An evaluation based on total‐body dynamic positron emission tomography scans