Dataset Information

[¹⁸F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.

ABSTRACT:

Objectives

Based on germline and somatic mutation profiles, pheochromocytomas and paragangliomas (PPGLs) can be classified into different clusters. We investigated the use of [¹⁸F]FDG-PET/CT radiomics, SUV_max and biochemical profile for the identification of the genetic clusters of PPGLs.

Methods

In this single-centre cohort, 40 PPGLs (13 cluster 1, 18 cluster 2, 9 sporadic) were delineated using a 41% adaptive threshold of SUV_peak ([¹⁸F]FDG-PET) and manually (low-dose CT; ldCT). Using PyRadiomics, 211 radiomic features were extracted. Stratified 5-fold cross-validation for the identification of the genetic cluster was performed using multinomial logistic regression with dimensionality reduction incorporated per fold. Classification performances of biochemistry, SUV_max and PET(/CT) radiomic models were compared and presented as mean (multiclass) test AUCs over the five folds. Results were validated using a sham experiment, randomly shuffling the outcome labels.

Results

The model with biochemistry only could identify the genetic cluster (multiclass AUC 0.60). The three-factor PET model had the best classification performance (multiclass AUC 0.88). A simplified model with only SUV_max performed almost similarly. Addition of ldCT features and biochemistry decreased the classification performances. All sham AUCs were approximately 0.50.

Conclusion

PET radiomics achieves a better identification of PPGLs compared to biochemistry, SUV_max, ldCT radiomics and combined approaches, especially for the differentiation of sporadic PPGLs. Nevertheless, a model with SUV_max alone might be preferred clinically, weighing model performances against laborious radiomic analysis. The limited added value of radiomics to the overall classification performance for PPGL should be validated in a larger external cohort.

Key points

• Radiomics derived from [¹⁸F]FDG-PET/CT has the potential to improve the identification of the genetic clusters of pheochromocytomas and paragangliomas. • A simplified model with SUV_max only might be preferred clinically, weighing model performances against the laborious radiomic analysis. • Cluster 1 and 2 PPGLs generally present distinctive characteristics that can be captured using [¹⁸F]FDG-PET imaging. Sporadic PPGLs appear more heterogeneous, frequently resembling cluster 2 PPGLs and occasionally resembling cluster 1 PPGLs.

SUBMITTER: Noortman WA

PROVIDER: S-EPMC9474528 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

[<sup>18</sup>F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.

Noortman Wyanne A WA Vriens Dennis D de Geus-Oei Lioe-Fee LF Slump Cornelis H CH Aarntzen Erik H EH van Berkel Anouk A Timmers Henri J L M HJLM van Velden Floris H P FHP

European radiology 20220824 10

<h4>Objectives</h4>Based on germline and somatic mutation profiles, pheochromocytomas and paragangliomas (PPGLs) can be classified into different clusters. We investigated the use of [<sup>18</sup>F]FDG-PET/CT radiomics, SUV<sub>max</sub> and biochemical profile for the identification of the genetic clusters of PPGLs.<h4>Methods</h4>In this single-centre cohort, 40 PPGLs (13 cluster 1, 18 cluster 2, 9 sporadic) were delineated using a 41% adaptive threshold of SUV<sub>peak</sub> ([<sup>18</sup>F ...[more]

PMID: 36001126

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Dataset Information

[¹⁸F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.

Objectives

Methods

Results

Conclusion

Key points

Publications

[<sup>18</sup>F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.

Similar Datasets

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Tweets

Dataset Information

[18F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.

Objectives

Methods

Results

Conclusion

Key points

Publications

[<sup>18</sup>F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

[¹⁸F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas.