Robustness of [18F]FDG PET/CT radiomic analysis in the setting of drug-induced cardiotoxicity

Palomino-Fernández, David; Seiffert, Alexander P.; Gómez-Grande, Adolfo; Jiménez López-Guarch, Carmen; Moreno, Guillermo; Bueno, Héctor; Gómez, Enrique J.; Sánchez-González, Patricia

doi:10.1016/j.cmpb.2023.107981

Cited by 3 publications

(1 citation statement)

References 42 publications

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“…An up-sampling approach is preferred to minimize image aliasing artifacts [38]. As stated in previous work [39], an ICC(3,1) for a two-way mixed-effects model was computed to quantify the reproducibility of the radiomic features related to variations in the bin number (Experiment 1) and voxel size (Experiment 2) parameters. A threshold of 0.82 (computed as the mean endpoint between intervals defined as good [ICC 0.75-0.9] or excellent [ICC > 0.9] feature performance [40][41][42]) for ICC was used to group radiomic features into sets of features showing reproducible and non-reproducible values in response to variations in the feature calculation parameter configurations.…”

Section: Image Processing and Feature Extractionmentioning

confidence: 99%

Radiomic-Based Biomarkers for the Evaluation of Prosthetic Heart Valve Infective Endocarditis in Non-Attenuation Correction [18F]FDG PET/CT Images

Palomino-Fernández,

Gómez-Grande,

P. Seiffert

et al. 2024

Applied Sciences

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Although there have been crucial advancements in the diagnostic and treatment approaches, the mortality rate of infective endocarditis is still an ongoing challenge in clinical practice. [18F]FDG PET/CT imaging has recently proven its potential role in the early identification of prosthetic valve endocarditis (PVE). Due to radiomics’ rising applicability, recent studies exhibit promising outcomes in the clinical setting. The aim of the present study is the evaluation of potential radiomic-based biomarkers of non-attenuation-corrected (NAC) [18F]FDG PET images for the diagnosis of PVE. An adequate pre-processing and segmentation of the prosthetic ring metabolic activity were performed. A reproducibility analysis prior to the image-based biomarkers’ identification was conducted in terms of the intraclass correlation coefficient (ICC) derived from the variations in the radiomic extraction configurations (bin number and voxel size). After the reliability analysis, statistical analysis was performed by means of the Mann–Whitney U Test to study the differences between the PVE groups. Only p values < 0.05 after the Benjamini Hochberg correction procedure for multiple comparisons were considered statistically significant. Eight ML classification models for PVE classification based on radiomic features were evaluated. Overall, 45.2% and 95.7% of the radiomic features showed a consistency ICC above 0.82, demonstrating great reproducibility against variations in the bin number and interpolation thickness, respectively. Variations in interpolation thickness demonstrated great reproducibility in absolute agreement with 80.0% robust features, proving a non-dependency relationship with radiomic values. In the present study, the utility of potential radiomic-based biomarkers in the diagnosis of PVE in NAC [18F]FDG PET/CT images has been evaluated. Future studies will be required to validate the use of this technology as a valuable tool to support the current PVE diagnostic criteria.

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Section: Image Processing and Feature Extractionmentioning

confidence: 99%

Radiomic-Based Biomarkers for the Evaluation of Prosthetic Heart Valve Infective Endocarditis in Non-Attenuation Correction [18F]FDG PET/CT Images

Palomino-Fernández,

Gómez-Grande,

P. Seiffert

et al. 2024

Applied Sciences

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Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research

Stefano

2024

Computers in Biology and Medicine

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Reduced Homogeneous Myocardial [18F]FDG Uptake in Routine PET/CT Studies as an Early Indicator of Chemotherapy-Induced Cardiotoxicity

Palomino-Fernández,

Bueno,

Jiménez-López-Guarch

et al. 2024

Applied Sciences

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Cardiotoxicity refers to the damage induced by antineoplastic treatments, leading to various cardiovascular conditions. [18F]FDG PET radiomics analysis could provide relevant information on early onset changes occurring in cardiac metabolism of chemotherapy-induced cardiotoxicity. Patients’ sociodemographic data, cardiovascular risk factors, laboratory parameters, and left ventricle [18F]FDG PET radiomic features are analyzed. The HRad index for the quantification of the heterogeneity of the metabolic uptake patterns is proposed. Statistical analysis is performed by separating patients according to the diagnosis of cancer therapy-related cardiac dysfunction (CTRCD). Baseline, intermediate, and end-of-treatment scans are evaluated as separate groups. Overall, CTRCD+ patients show lower overall mean standardized uptake values (SUVmean) compared to CTRCD− patients, with statistically significant differences between groups only observed in the intermediate PET study (p = 0.025). A total of 34 radiomic features show statistically significant differences between the CTRCD+ and CTRCD− groups in the intermediate imaging studies. In the CTRCD− group, greater overall heterogeneity of metabolic uptake is observed in the intermediate PET image compared to the CTRCD+ groups (p = 0.025). The assessment of CTRCD through [18F]FDG PET radiomics analysis could be a potential tool for the identification of a predisposition to the later development of cardiac complications after cardiotoxic treatment.

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Robustness of [18F]FDG PET/CT radiomic analysis in the setting of drug-induced cardiotoxicity

Cited by 3 publications

References 42 publications

Radiomic-Based Biomarkers for the Evaluation of Prosthetic Heart Valve Infective Endocarditis in Non-Attenuation Correction [18F]FDG PET/CT Images

Radiomic-Based Biomarkers for the Evaluation of Prosthetic Heart Valve Infective Endocarditis in Non-Attenuation Correction [18F]FDG PET/CT Images

Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research

Reduced Homogeneous Myocardial [18F]FDG Uptake in Routine PET/CT Studies as an Early Indicator of Chemotherapy-Induced Cardiotoxicity

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