Dynamic amino-acid PET in neuro-oncology: a prognostic tool becomes essential

Verger, Antoine; Imbert, Laëtitia; Zaragori, Timothée

doi:10.1007/s00259-021-05530-w

Cited by 19 publications

(11 citation statements)

References 41 publications

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“…Finally, the 2 amino acid PET studies mentioned by Langen and colleagues (1,11) reported the prognostic significance of dynamic parameters, obtained from VOI-based or voxel-based extractions combined with radiomics analysis, for respectively predicting IDH and TERTp mutations. As already extensively discussed elsewhere (17), aggressive brain gliomas are associated with high tracer uptake within the first few minutes after injection followed by a decrease in the uptake curve, whereas less aggressive gliomas typically show a slow increase in amino acid uptake, with the highest values observed at later time frames. Amino acid PET imaging of brain inflammation is also associated with a consistently increasing SUV curve (14).…”

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confidence: 69%

Reply to Letter to the Editor: “¹⁸F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

Zaragori

Verger

2022

J Nucl Med

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TO THE EDITOR: We have read with interest the paper by Zaragori et al. about the role of PET using 6-18 F-fluoro-L-DOPA ( 18 F-FDOPA) in the prediction of molecular parameters by radiomics (1). We agree that radiomics is a promising approach to improve the accuracy of amino acid PET (2). This has been demonstrated, for example, for the differentiation of recurrent tumor from treatment-related changes (3,4).Zaragori et al. report that radiomics features of static and dynamic 18

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confidence: 69%

Reply to Letter to the Editor: “¹⁸F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

Zaragori

Verger

2022

J Nucl Med

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“…In routine practice, they have been surpassed by contrast-enhanced MRI even though the latter is dependent on disruption of the BBB. Another way to image the perfusion of brain tumors is to systematically apply dynamic PET acquisitions which are particularly informative for amino acid PET radiotracers [ 101 ].…”

Section: Future Perspectivesmentioning

confidence: 99%

PET Imaging in Neuro-Oncology: An Update and Overview of a Rapidly Growing Area

Verger

Kas

Darcourt

et al. 2022

Cancers

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PET plays an increasingly important role in the management of brain tumors. This review outlines currently available PET radiotracers and their respective indications. It specifically focuses on 18F-FDG, amino acid and somatostatin receptor radiotracers, for imaging gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in radiopharmaceuticals, image analyses and translational applications to therapy are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain MRI for all medical professionals implicated in brain tumor diagnosis and care.

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“…18 F-FDOPA is a PET amino-acid radiotracer that is clinically relevant for the primary diagnosis of gliomas [ 6 ] and whose diagnostic performance improves with the addition of dynamic analysis [ 7 ] and the extraction of radiomics features [ 8 ]. We previously reported on the diagnostic performance of 18 F-FDOPA for the molecular characterization of newly diagnosed gliomas in a radiomics study which measured the contributions of dynamic acquisition and radiomics features to identify the molecular parameters of isocitrate dehydrogenase (IDH) mutation and/or 1p/19q codeletion [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

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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Dynamic amino-acid PET in neuro-oncology: a prognostic tool becomes essential

Cited by 19 publications

References 41 publications

Reply to Letter to the Editor: “¹⁸F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

Reply to Letter to the Editor: “¹⁸F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

PET Imaging in Neuro-Oncology: An Update and Overview of a Rapidly Growing Area

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

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Dynamic amino-acid PET in neuro-oncology: a prognostic tool becomes essential

Cited by 19 publications

References 41 publications

Reply to Letter to the Editor: “18F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

Reply to Letter to the Editor: “18F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

PET Imaging in Neuro-Oncology: An Update and Overview of a Rapidly Growing Area

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

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Reply to Letter to the Editor: “¹⁸F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”

Reply to Letter to the Editor: “¹⁸F-FDOPA PET for the Noninvasive Prediction of Glioma Molecular Parameters: A Radiomics Study”