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A potential biomarker for treatment stratification in psychosis: evaluation of an [¹⁸F] FDOPA PET imaging approach.

ABSTRACT: [¹⁸F]FDOPA PET imaging has shown dopaminergic function indexed as K_i^cer differs between antipsychotic treatment responders and non-responders. However, the theragnostic potential of this biomarker to identify non-responders has yet to be evaluated. In view of this, we aimed to evaluate this as a theragnostic test using linear and non-linear machine-learning (i.e., Bernoulli, support vector, random forest and Gaussian processes) analyses and to develop and evaluate a simplified approach, standardised uptake value ratio (SUVRc). Both [¹⁸F]FDOPA PET approaches had good test-rest reproducibility across striatal regions (K_i^cer ICC: 0.68-0.94, SUVRc ICC: 0.76-0.91). Both our linear and non-linear classification models showed good predictive power to distinguish responders from non-responders (receiver operating curve area under the curve for region-of-interest approach: K_i^cer = 0.80, SUVRc = 0.79; for voxel-wise approach using a linear support vector machine: 0.88) and similar sensitivity for identifying treatment non-responders with 100% specificity (K_i^cer: ~50%, SUVRc: 40-60%). Although the findings were replicated in two independent datasets, given the total sample size (n = 84) and single setting, they warrant testing in other samples and settings. Preliminary economic analysis of [¹⁸F]FDOPA PET to fast-track treatment-resistant patients with schizophrenia to clozapine indicated a potential healthcare cost saving of ~£3400 (equivalent to $4232 USD) per patient. These findings indicate [¹⁸F]FDOPA PET dopamine imaging has potential as biomarker to guide treatment choice.

SUBMITTER: Veronese M

PROVIDER: S-EPMC8115068 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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A potential biomarker for treatment stratification in psychosis: evaluation of an [18F] FDOPA PET imaging approach.

Veronese Mattia M Santangelo Barbara B Jauhar Sameer S D'Ambrosio Enrico E Demjaha Arsime A Salimbeni Hugh H Huajie Jin J McCrone Paul P Turkheimer Federico F Howes Oliver O

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 20200922 6

[18F]FDOPA PET imaging has shown dopaminergic function indexed as Kicer differs between antipsychotic treatment responders and non-responders. However, the theragnostic potential of this biomarker to identify non-responders has yet to be evaluated. In view of this, we aimed to evaluate this as a theragnostic test using linear and non-linear machine-learning (i.e., Bernoulli, support vector, random forest and Gaussian processes) analyses and to develop and evaluat ...[more]

PMID: 32961543

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Project description:Multiple myeloma (MM) is a debilitating neoplasm of terminally differentiated plasma B cells that resulted in over 13,000 deaths in 2017 alone. Combination therapies involving melphalan, a small-molecule DNA alkylating agent, are commonly prescribed to patients with relapsed or refractory MM, necessitating the stratification of responding patients to minimize toxicities and improve quality of life. Here, we evaluated the use of 3,4-dihydroxy-6-18F-fluoro-l-phenylalanine (18F-FDOPA), a clinically available PET radiotracer with specificity to the L-type amino acid transporter 1 (LAT1), which also mediates melphalan uptake, for imaging melphalan therapy response in a preclinical immunocompetent model of MM. Methods: C57BL/KaLwRij mice were implanted subcutaneously with unilateral murine green fluorescent protein-expressing 5TGM1 tumors and divided into 3 independent groups: untreated, treated beginning week 2 after tumor implantation, and treated beginning week 3 after tumor implantation. The untreated and week 2 treated groups were imaged with preclinical MRI and dynamic 18F-FDG and 18F-FDOPA PET/CT at week 4 on separate, contiguous days, whereas the week 3 treated group was longitudinally imaged weekly for 3 wk. Metabolic tumor volume, total lesion avidity, SUVmax, and total uptake were calculated for both tracers. Immunohistochemistry was performed on representative tissue from all groups for LAT1 and glucose transporter 1 (GLUT1) expression. Results: Melphalan therapy induced a statistically significant reduction in lesion avidity and uptake for both 18F-FDG and 18F-FDOPA. There was no visible effect on GLUT1 expression, but LAT1 density increased in the week 2 treated group. Longitudinal imaging of the week 3 treated group showed variable changes in 18F-FDG and 18F-FDOPA uptake, with an increase in 18F-FDOPA lesion avidity in the second week relative to baseline. LAT1 and GLUT1 surface density in the untreated and week 3 treated groups were qualitatively similar. Conclusion: 18F-FDOPA PET/CT complemented 18F-FDG PET/CT in imaging melphalan therapy response in preclinical extramedullary MM. 18F-FDOPA uptake was linked to LAT1 expression and melphalan response, with longitudinal imaging suggesting stabilization of LAT1 levels and melphalan tumor cytotoxicity. Future work will explore additional MM cell lines with heterogeneous LAT1 expression and response to melphalan therapy.

Project description:PurposeDynamic amino acid positron emission tomography (PET) has become essential in neuro-oncology, most notably for its prognostic value in the noninvasive prediction of isocitrate dehydrogenase (IDH) mutations in newly diagnosed gliomas. The 6-[18F]fluoro-l-DOPA (18F-FDOPA) kinetic model has an underlying complexity, while previous studies have predominantly used a semiquantitative dynamic analysis. Our study addresses whether a semiquantitative analysis can capture all the relevant information contained in time-activity curves for predicting the presence of IDH mutations compared to the more sophisticated graphical and compartmental models.MethodsThirty-seven tumour time-activity curves from 18F-FDOPA PET dynamic acquisitions of newly diagnosed gliomas (median age = 58.3 years, range = 20.3-79.9 years, 16 women, 16 IDH-wild type) were analyzed with a semiquantitative model based on classical parameters, with (SQ) or without (Ref SQ) a reference region, or on parameters of a fit function (SQ Fit), a graphical Logan model with input function (Logan) or reference region (Ref Logan), and a two-tissue compartmental model previously reported for 18F-FDOPA PET imaging of gliomas (2TCM). The overall predictive performance of each model was assessed with an area under the curve (AUC) comparison using multivariate analysis of all the parameters included in the model. Moreover, each extracted parameter was assessed in a univariate analysis by a receiver operating characteristic curve analysis.ResultsThe SQ model with an AUC of 0.733 for predicting IDH mutations showed comparable performance to the other models with AUCs of 0.752, 0.814, 0.693, 0.786, and 0.863, respectively corresponding to SQ Fit, Ref SQ, Logan, Ref Logan, and 2TCM (p ≥ 0.10 for the pairwise comparisons with other models). In the univariate analysis, the SQ time-to-peak parameter had the best diagnostic performance (75.7% accuracy) compared to all other individual parameters considered.ConclusionsThe SQ model circumvents the complexities of the 18F-FDOPA kinetic model and yields similar performance in predicting IDH mutations when compared to the other models, most notably the compartmental model. Our study provides supportive evidence for the routine clinical application of the SQ model for the dynamic analysis of 18F-FDOPA PET images in newly diagnosed gliomas.

Project description:The assessment of gliomas by 18F-FDOPA PET imaging as an adjunct to MRI showed high performance by combining static and dynamic features to noninvasively predict the isocitrate dehydrogenase (IDH) mutations and the 1p/19q codeletion, which the World Health Organization classified as significant parameters in 2016. The current study evaluated whether other 18F-FDOPA PET radiomics features further improve performance and the contributions of each of these features to performance. Methods: Our study included 72 retrospectively selected, newly diagnosed glioma patients with 18F-FDOPA PET dynamic acquisitions. A set of 114 features, including conventional static features and dynamic features, as well as other radiomics features, were extracted and machine-learning models trained to predict IDH mutations and the 1p/19q codeletion. Models were based on a machine-learning algorithm built from stable, relevant, and uncorrelated features selected by hierarchic clustering followed by a bootstrapped feature selection process. Models were assessed by comparing area under the curve using a nested cross-validation approach. Feature importance was assessed using Shapley additive explanations values. Results: The best models were able to predict IDH mutations (logistic regression with L2 regularization) and the 1p/19q codeletion (support vector machine with radial basis function kernel) with an area under the curve of 0.831 (95% CI, 0.790-0.873) and 0.724 (95% CI, 0.669-0.782), respectively. For the prediction of IDH mutations, dynamic features were the most important features in the model (time to peak, 35.5%). In contrast, other radiomics features were the most useful for predicting the 1p/19q codeletion (up to 14.5% of importance for the small-zone low-gray-level emphasis). Conclusion: 18F-FDOPA PET is an effective tool for the noninvasive prediction of glioma molecular parameters using a full set of amino-acid PET radiomics features. The contribution of each feature set shows the importance of systematically integrating dynamic acquisition for prediction of the IDH mutations as well as developing the use of radiomics features in routine practice for prediction of the 1p/19q codeletion.

Project description:PurposePositron emission tomography (PET) ligands targeting translocator protein (TSPO) are potential imaging diagnostics of cancer. In this study, we report two novel, high-affinity TSPO PET ligands that are 5,7 regioisomers, [18F]VUIIS1009A ([18F]3A) and [18F]VUIIS1009B ([18F]3B), and their initial in vitro and in vivo evaluation in healthy mice and glioma-bearing rats.ProceduresVUIIS1009A/B was synthesized and confirmed by X-ray crystallography. Interactions between TSPO binding pocket and novel ligands were evaluated and compared with contemporary TSPO ligands using 2D 1H-15N heteronuclear single quantum coherence (HSQC) spectroscopy. In vivo biodistribution of [18F]VUIIS1009A and [18F]VUIIS1009B was carried out in healthy mice with and without radioligand displacement. Dynamic PET imaging data were acquired simultaneously with [18F]VUIIS1009A/B injections in glioma-bearing rats, with binding reversibility and specificity evaluated by radioligand displacement. In vivo radiometabolite analysis was performed using radio-TLC, and quantitative analysis of PET data was performed using metabolite-corrected arterial input functions. Imaging was validated with histology and immunohistochemistry.ResultsBoth VUIIS1009A (3A) and VUIIS1009B (3B) were found to exhibit exceptional binding affinity to TSPO, with observed IC50 values against PK11195 approximately 500-fold lower than DPA-714. However, HSQC NMR suggested that VUIIS1009A and VUIIS1009B share a common binding pocket within mammalian TSPO (mTSPO) as DPA-714 and to a lesser extent, PK11195. [18F]VUIIS1009A ([18F]3A) and [18F]VUIIS1009B ([18F]3B) exhibited similar biodistribution in healthy mice. In rats bearing C6 gliomas, both [18F]VUIIS1009A and [18F]VUIIS1009B exhibited greater binding potential (k 3/k 4)in tumor tissue compared to [18F]DPA-714. Interestingly, [18F]VUIIS1009B exhibited significantly greater tumor uptake (V T) than [18F]VUIIS1009A, which was attributed primarily to greater plasma-to-tumor extraction efficiency.ConclusionsThe novel PET ligand [18F]VUIIS1009B exhibits promising characteristics for imaging glioma; its superiority over [18F]VUIIS1009A, a regioisomer, appears to be primarily due to improved plasma extraction efficiency. Continued evaluation of [18F]VUIIS1009B as a high-affinity TSPO PET ligand for precision medicine appears warranted.

Project description:BACKGROUND. Recent professional society guidelines for radionuclide imaging of sporadic pheochromocytoma (PHEO) recommend 18F-fluorodihydroxyphenylala-nine (18F-FDOPA) as the radiotracer of choice, deeming 68Ga-DOTATATE and FDG to be second- and third-line agents, respectively. An additional agent, 18F-fluorodopamine (18F-FDA), remains experimental for PHEO detection. A paucity of research has performed head-to-head comparison among these agents. OBJECTIVE. The purpose of this study was to perform an intraindividual comparison of 68Ga-DOTATATE PET/CT, FDG PET/CT, 18F-FDOPA PET/CT, 18F-FDA PET/CT, CT, and MRI in visualization of sporadic primary PHEO. METHODS. This prospective study enrolled patients referred with clinical suspicion for sporadic PHEO. Patients were scheduled for 68Ga-DOTATATE PET/CT, FDG PET/CT, 18F-FDOPA PET/CT, 18F-FDA PET/CT, whole-body staging CT (portal venous phase), and MRI within a 3-month period. PET/CT examinations were reviewed by two nuclear medicine physicians, and CT and MRI were reviewed by two radiologists; differences were resolved by consensus. Readers scored lesions in terms of confidence in diagnosis of PHEO (1-5 scale; 4-5 considered positive for PHEO). Lesion-to-liver SUVmax was computed using both readers' measurements. Interreader agreement was assessed using intraclass correlation coefficients (ICCs) for SUVmax. Analysis included only patients with histologically confirmed PHEO on resection. RESULTS. The analysis included 14 patients (eight women, six men; mean age, 52.4 ± 16.8 [SD] years) with PHEO. Both 68Ga-DOTATATE PET/CT and FDG PET/CT were completed in all 14 patients, 18F-FDOPA PET/CT in 11, 18F-FDA PET/CT in 7, CT in 12, and MRI in 12. Mean conspicuity score for PHEO was 5.0 ± 0.0 for 18F-FDOPA PET/CT, 4.7 ± 0.5 for MRI, 4.6 ± 0.8 for 18F-FDA PET/CT, 4.4 ± 1.0 for 68Ga-DOTATATE PET/CT, 4.3 ± 1.0 for CT, and 4.1 ± 1.5 for FDG PET/CT. The positivity rate for PHEO was 100.0% (11/11) for 18F-FDOPA PET/CT, 100.0% (12/12) for MRI, 85.7% (6/7) for 18F-FDA PET/CT, 78.6% (11/14) for FDG PET/CT, 78.6% (11/14) for 68Ga-DOTATATE PET/CT, and 66.7% (8/12) for CT. Lesion-to-liver SUVmax was 10.5 for 18F-FDOPA versus 3.0-4.2 for the other tracers. Interreader agreement across modalities ranged from 85.7% to 100.0% for lesion positivity with ICCs of 0.55-1.00 for SUVmax measurements. CONCLUSION. Findings from this small intraindividual comparative study support 18F-FDOPA PET/CT as a preferred first-line imaging modality in evaluation of sporadic PHEO. CLINICAL IMPACT. This study provides data supporting current guidelines for imaging evaluation of suspected PHEO. TRIAL REGISTRATION. ClinicalTrials.gov NCT00004847.

Dataset Information

A potential biomarker for treatment stratification in psychosis: evaluation of an [¹⁸F] FDOPA PET imaging approach.

Publications

A potential biomarker for treatment stratification in psychosis: evaluation of an [<sup>18</sup>F] FDOPA PET imaging approach.

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