Valuable Characteristic of Patlak Parametric Imaging Based on Total-Body Dynamic PET Imaging: Higher Contrast For Tumor Lesions With Respect To Hypermetabolic Tissues

Abstract Purpose To demonstrate the characteristics of high-contrast tumor lesions on total-body dynamic positron emission tomography (dPET) parametric images qualitatively and quantitatively. Method We reported the results of Patlak parametric images based on total-body dPET images of four patients with different types of tumor lesions. The contrast-to-noise ratios (CNRs) of the target tumor lesions were calculated with respect to hypermetabolic tissues, including the liver and ventricles, both on static PET and parametric images. Results Visual comparisons between the last frame of total-body dPET images and the generated parametric images illustrated the higher contrast of tumor lesions relative to other tissues in the patients. Visualization of the tumor lesions was reserved, while that of the livers and ventricles was diminished. The parametric images resulted in higher CNR values for the tumor lesions with respect to livers and ventricles compared to those given by dynamic PET images. The results were consistent in all the cases analyzed in this study. Conclusion Patlak parametric imaging provides the valuable characteristic of higher contrast for tumor lesions than hypermetabolic tissues, which helps in the clinical detection and diagnosis of tumor tissues.

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Accurate Total-Body Ki Parametric Imaging with Shortened Dynamic 18F-FDG PET Scan Durations via Effective Data Processing

10.21203/rs.3.rs-1155279/v1 ◽

2021 ◽

Author(s):

Zixiang Chen ◽

Zhaoping Cheng ◽

Yanhua Duan ◽

Fengyun Gu ◽

Ying Wang ◽

...

Keyword(s):

Data Processing ◽

Fdg Pet ◽

Parametric Imaging ◽

Imaging Data ◽

Parametric Images ◽

Tumor Lesion ◽

Dynamic Scan ◽

Total Body ◽

Patlak Analysis ◽

Body Dynamic

Abstract Background: Total-body dynamic PET (dPET) imaging using 18F-fluorodeoxyglucose (18F-FDG) has received widespread attention in clinical oncology. However, the conventionally required scan duration of approximately one hour seriously limits the application and promotion of this imaging technique. In this study, using Patlak analysis-based Ki parametric imaging as the evaluation standard, we investigated the possibility and feasibility of shortening the total-body dynamic scan duration to 30 mins post-injection (PI) with the help of a novel Patlak data processing algorithm.Methods: Total-body dPET images acquired by uEXPLORER (United Imaging Healthcare Inc.) using 18F-FDG of 15 patients with different types of tumors were analyzed in this study. Dynamic images were reconstructed into 25 frames with a specific temporal dividing protocol for the scan data acquired one hour PI. Patlak analysis-based Ki parametric imaging was carried out based on the imaging data corresponding to the first 30 mins PI, during which a Patlak data processing method based on third-order Hermite interpolation (THI) was applied. The resulting Ki images and standard Ki images were compared in terms of visual imaging effect and Ki estimation accuracy to evaluate the performance of the proposed data processing algorithm for parametric imaging with dPET with a shortened scan duration.Results: With the help of Patlak data processing, acceptable Ki parametric images were obtained from dPET data acquired with a shortened scan duration. Compared to Ki images obtained from unprocessed Patlak data, the resulting images from the proposed method contained less image noise, leading to remarkably improved imaging quality. Moreover, box plot analysis showed that that 30-min Ki images obtained from processed Patlak data have higher accuracy regarding tumor lesion Ki values.Conclusion: Acceptable Ki parametric images can be acquired from dynamic imaging data corresponding to the first 30 mins PI. Patlak data processing can help achieve higher Ki imaging quality and higher accuracy regarding tumor lesion Ki values. Clinically, it is possible to shorten the dynamic scan duration of 18F-FDG PET to 30 mins to facilitate the usage of such imaging techniques on uEXPLORER scanners.

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Ultra-low-activity total-body dynamic PET imaging allows equal performance to full-activity PET imaging for investigating kinetic metrics of 18F-FDG in healthy volunteers

European Journal of Nuclear Medicine and Molecular Imaging ◽

10.1007/s00259-020-05173-3 ◽

2021 ◽

Author(s):

Guobing Liu ◽

Pengcheng Hu ◽

Haojun Yu ◽

Hui Tan ◽

Yiqiu Zhang ◽

...

Keyword(s):

Healthy Volunteers ◽

Pet Imaging ◽

Dynamic Pet ◽

Full Activity ◽

18F Fdg ◽

Total Body ◽

Body Dynamic ◽

Low Activity

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Total-body dynamic PET/CT of micro-metastatic lymph node in a patient with lung cancer

European Journal of Nuclear Medicine and Molecular Imaging ◽

10.1007/s00259-020-05121-1 ◽

2021 ◽

Author(s):

Fangfang Fu ◽

Xiaochen Li ◽

Yaping Wu ◽

Junling Xu ◽

Yan Bai ◽

...

Keyword(s):

Lung Cancer ◽

Lymph Node ◽

Metastatic Lymph Node ◽

Dynamic Pet ◽

Metastatic Lymph ◽

Pet Ct ◽

Total Body ◽

Body Dynamic

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Linearized Reference Tissue Parametric Imaging Methods: Application to [11C]DASB Positron Emission Tomography Studies of the Serotonin Transporter in Human Brain

Journal of Cerebral Blood Flow & Metabolism ◽

10.1097/01.wcb.0000085441.37552.ca ◽

2003 ◽

Vol 23 (9) ◽

pp. 1096-1112 ◽

Cited By ~ 403

Author(s):

Masanori Ichise ◽

Jeih-San Liow ◽

Jian-Qiang Lu ◽

Akihiro Takano ◽

Kendra Model ◽

...

Keyword(s):

Positron Emission Tomography ◽

Human Brain ◽

Positron Emission Tomography Imaging ◽

Emission Tomography ◽

Binding Potential ◽

Parametric Imaging ◽

Reference Tissue ◽

Parametric Images ◽

Positron Emission ◽

Tissue Models

The authors developed and applied two new linearized reference tissue models for parametric images of binding potential ( BP) and relative delivery ( R1) for [11C]DASB positron emission tomography imaging of serotonin transporters in human brain. The original multilinear reference tissue model (MRTMO) was modified (MRTM) and used to estimate a clearance rate ( k′2) from the cerebellum (reference). Then, the number of parameters was reduced from three (MRTM) to two (MRTM2) by fixing k′2. The resulting BP and R1 estimates were compared with the corresponding nonlinear reference tissue models, SRTM and SRTM2, and one-tissue kinetic analysis (1TKA), for simulated and actual [11C]DASB data. MRTM gave k′2 estimates with little bias (<1%) and small variability (<6%). MRTM2 was effectively identical to SRTM2 and 1TKA, reducing BP bias markedly over MRTMO from 12–70% to 1–4% at the expense of somewhat increased variability. MRTM2 substantially reduced BP variability by a factor of two or three over MRTM or SRTM. MRTM2, SRTM2, and 1TKA had R1 bias <0.3% and variability at least a factor of two lower than MRTM or SRTM. MRTM2 allowed rapid generation of parametric images with the noise reductions consistent with the simulations. Rapid parametric imaging by MRTM2 should be a useful method for human [11C]DASB positron emission tomography studies.

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