Impact of point-spread function reconstruction on dynamic and static 18F-DOPA PET/CT quantitative parameters in glioma

Girard, Antoine; François, Madani; Chaboub, Nibras; Reste, Pierre-Jean Le; Devillers, Anne; Saint‐Jalmes, Hervé; Jeune, Florence Le; Palard-Novello, Xavier

doi:10.21037/qims-21-742

Cited by 4 publications

(4 citation statements)

References 33 publications

(41 reference statements)

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“…To the best of our knowledge, our study is the first to explore the effects of applying PSFd to brain amino-acid PET. However, the fact that 95% of TBR parametric features are significantly modified after application of the PSFd is consistent with neuro-oncology amino-acid PET imaging results reported in literature [ 14 , 15 ]. After applying the PSFd, SUV-derived parameters from our TBR parametric images were significantly modified, with a majority of increased values observed ( Table S1 ).…”

Section: Discussionsupporting

confidence: 91%

“…The PSFd had a greater impact on small-volume tumors with high radiotracer uptake since the partial volume effect is expected to have a greater impact on smaller structures [ 14 ]. Girard et al reported modifications of 18 F-FDOPA PET kinetic parameters after applying PSFd [ 15 ]. We also report modifications of radiomics features derived from TTP parametric images, albeit that these radiomics features are less significantly modified than those from TBR parametric images ( Supplementary Table S1 ).…”

Section: Discussionmentioning

confidence: 99%

“…Our previous study extracted dynamic features using a region-based approach whilst a more recent study evaluated dynamic 18 F-FDOPA PET imaging based on a voxel-based approach by investigating time-to-peak (TTP) parametric images [ 13 ]. The PSFd has, however, not been extensively investigated in the context of amino-acid radiotracers in gliomas [ 14 , 15 ]. The two studies published to date that applied the PSFd only examined its impact on standardized uptake value (SUV)-derived indices but did not investigate impacts on currently used dynamic semi-quantitative parameters or on radiomics features.…”

Section: Introductionmentioning

confidence: 99%

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Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic 18F-FDOPA PET Radiomics Study

Ahrari

Zaragori

Bros

et al. 2022

Cancers

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Purpose: This study aims to investigate the effects of applying the point spread function deconvolution (PSFd) to the radiomics analysis of dynamic L-3,4-dihydroxy-6-[18F]-fluoro-phenyl-alanine (18F-FDOPA) positron emission tomography (PET) images, to non-invasively identify isocitrate dehydrogenase (IDH) mutated and/or 1p/19q codeleted gliomas. Methods: Fifty-seven newly diagnosed glioma patients underwent dynamic 18F-FDOPA imaging on the same digital PET system. All images were reconstructed with and without PSFd. An L1-penalized (Lasso) logistic regression model, with 5-fold cross-validation and 20 repetitions, was trained with radiomics features extracted from the static tumor-to-background-ratio (TBR) and dynamic time-to-peak (TTP) parametric images, as well as a combination of both. Feature importance was assessed using Shapley additive explanation values. Results: The PSFd significantly modified 95% of TBR, but only 79% of TTP radiomics features. Applying the PSFd significantly improved the ability to identify IDH-mutated and/or 1p/19q codeleted gliomas, compared to PET images not processed with PSFd, with respective areas under the curve of 0.83 versus 0.79 and 0.75 versus 0.68 for a combination of static and dynamic radiomics features (p < 0.001). Without the PSFd, four and eight radiomics features contributed to 50% of the model for detecting IDH-mutated and/or 1p/19q codeleted gliomas, respectively. Application of the PSFd reduced this to three and seven contributive radiomics features. Conclusion: Application of the PSFd to dynamic 18F-FDOPA PET imaging significantly improves the detection of molecular parameters in newly diagnosed gliomas, most notably by modifying TBR radiomics features.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic 18F-FDOPA PET Radiomics Study

Ahrari

Zaragori

Bros

et al. 2022

Cancers

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“…In addition, the kinetic parameters of dynamic PET imaging have demonstrated excellent performance in glioma grading ( 66 ) and prognosis evaluation ( 16 , 35 , 38 , 40 ). However, irregular dynamic PET scanning limits the clinical popularization of kinetic parameters ( 67 , 68 ). Therefore, researchers need to devote more energy to developing and verifying better dynamic PET scanning protocols.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy of glioma pseudoprogression identification with positron emission tomography imaging: a systematic review and meta-analysis

Ouyang¹,

Zheng²,

Duan³

et al. 2023

Quant Imaging Med Surg

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Background Positron emission tomography (PET) imaging is a promising molecular neuroimaging technique and has been proposed as one of the criteria for glioma management. However, there is some controversy concerning the diagnostic accuracy of PET using different radiotracers to differentiate between glioma pseudoprogression (PsP) and true progression (TPR). The purpose of this meta-analysis was to systematically evaluate the methodological quality and clinical value of original studies for distinguishing PsP from TPR in glioma. Methods The Medline, Web of Science, Embase, Cochrane Library, and ClinicalTrials.gov were searched from inception until September 1, 2022. Retrieved clinical studies only investigated the PsP cases but did not include the cases of radiation necrosis or other treatment-related changes. Eligible studies were screened for data extraction and evaluated by 2 independent reviewers using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. A random effects model was used to describe summary receiver operating characteristics. Meta-regression and subgroup analyses were applied to identify any sources of heterogeneity. Results The meta-analysis included 20 studies, comprising 317 (30.9%) patients with PsP and 708 (69.1%) with TPR. The summary sensitivity and specificity of general PET for identifying PsP were 0.86 [95% confidence interval (CI): 0.77–0.91] and 0.84 (95% CI: 0.79–0.88), respectively. The statistical heterogeneity was explained by sample size, study design, World Health Organization (WHO) grade, gold standard, and radiotracer type. The summary sensitivity and specificity of O-(2- 18 F-fluoroethyl)-L-tyrosine ( 18 F-FET PET) were 0.80 (95% CI: 0.68–0.88) and 0.81 (95% CI: 0.75–0.85), respectively. The maximum tumor-to-brain ratio (TBRmax) and the mean tumor-to-brain ratio (TBRmean) both showed excellent diagnostic performance in 18 F-FET studies, the summary sensitivity was 0.83 (95% CI: 0.72–0.91) and 0.79 (95% CI: 0.65–0.98), respectively, and the specificity was 0.76 (95% CI: 0.68–0.84) and 0.78 (95% CI: 0.64–0.88), respectively. Conclusions PET imaging is generally accurate in identifying glioma PsP. Considering the credibility of meta-evidence and the practicability of using radiotracer, 18 F-FET PET holds the highest clinical value, while TBRmax and TBRmean should be regarded as reliable parameters. PET used with the radiotracers and multiple-parameter combinations of PET with magnetic resonance imaging (MRI) and radiomics analysis have broad research and application prospects, whose diagnostic values for identifying glioma PsP warrant further investigation.

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Statistical Characteristics of 3-D PET Imaging: A Comparison Between Conventional and Total-Body PET Scanners

Lin

Liu

Mou

2022

Pattern Recognition and Computer Vision

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Impact of point-spread function reconstruction on dynamic and static 18F-DOPA PET/CT quantitative parameters in glioma

Cited by 4 publications

References 33 publications

Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic 18F-FDOPA PET Radiomics Study

Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic 18F-FDOPA PET Radiomics Study

Diagnostic accuracy of glioma pseudoprogression identification with positron emission tomography imaging: a systematic review and meta-analysis

Statistical Characteristics of 3-D PET Imaging: A Comparison Between Conventional and Total-Body PET Scanners

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