Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma?
Introduction: Epidermal growth factor receptor (EGFR) amplification predicts poor survival in patients with brain gliomas. Purpose: This study aimed to evaluate whether EGFR amplification status can be predicted using radiomics data from dynamic PET scanning with 11C-methionine. Materials and Metho...
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Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2024-11-01
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| Series: | Applied Medical Informatics |
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| Online Access: | https://ami.info.umfcluj.ro/index.php/AMI/article/view/1072 |
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| author | Gleb DANILOV Andrey POSTNOV Diana KALAEVA Nina VIKHROVA Tatyana KOBYAKOVA |
| author_facet | Gleb DANILOV Andrey POSTNOV Diana KALAEVA Nina VIKHROVA Tatyana KOBYAKOVA |
| author_sort | Gleb DANILOV |
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Introduction: Epidermal growth factor receptor (EGFR) amplification predicts poor survival in patients with brain gliomas. Purpose: This study aimed to evaluate whether EGFR amplification status can be predicted using radiomics data from dynamic PET scanning with 11C-methionine. Materials and Methods: We analyzed 31 PET/CT scans from 31 patients (7 men 22.6% and 24 women 77.4%, mean age 59 ± 10 years). Three datasets were used to predict EGFR amplification status via machine learning: 1) Radiomic features calculated as time series for each image biomarker; 2) Dynamic tumor-to-normal brain ratio (T/N) of radiopharmaceutical uptake - time series of T/N peak for 26 frames; 3) Static T/N - peak, max, and average T/N for static images. Results: Radiomics-based models achieved an average accuracy of 1.0 using k-nearest neighbors across thirty subsampling experiments. Despite this promising result, we approach it critically, considering significant methodological limitations of our study and similar works. These include a small sample size, lack of standardized regions of interest, and absence of reproducibility tests for the selected imaging biomarkers and resulting models. Conclusion: Further research should focus on reproducibility, which is crucial for ensuring the non-randomness, generalizability, and real-world value of our findings.
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| format | Article |
| id | doaj-art-e1341a448ef84463b03373b0533e44f8 |
| institution | Kabale University |
| issn | 2067-7855 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca |
| record_format | Article |
| series | Applied Medical Informatics |
| spelling | doaj-art-e1341a448ef84463b03373b0533e44f82025-01-05T21:07:55ZengIuliu Hatieganu University of Medicine and Pharmacy, Cluj-NapocaApplied Medical Informatics2067-78552024-11-0146Suppl. 2Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma?Gleb DANILOV0Andrey POSTNOV1Diana KALAEVA2Nina VIKHROVA3Tatyana KOBYAKOVA4Laboratory of Biomedical Informatics and Artificial Intelligence, National Medical Research Center for Neurosurgery named after N.N. Burdenko, 4th Tverskaya-Yamskaya Str. 16, Moscow, Russian FederationDepartment of Neuroimaging, National Medical Research Center for Neurosurgery named after N.N. Burdenko, 4th Tverskaya-Yamskaya Str. 16, Moscow, Russian FederationDepartment of Neuroimaging, National Medical Research Center for Neurosurgery named after N.N. Burdenko, 4th Tverskaya-Yamskaya Str. 16, Moscow, Russian FederationDepartment of Neuroimaging, National Medical Research Center for Neurosurgery named after N.N. Burdenko, 4th Tverskaya-Yamskaya Str. 16, Moscow, Russian FederationDepartment of Neuroimaging, National Medical Research Center for Neurosurgery named after N.N. Burdenko, 4th Tverskaya-Yamskaya Str. 16, Moscow, Russian Federation Introduction: Epidermal growth factor receptor (EGFR) amplification predicts poor survival in patients with brain gliomas. Purpose: This study aimed to evaluate whether EGFR amplification status can be predicted using radiomics data from dynamic PET scanning with 11C-methionine. Materials and Methods: We analyzed 31 PET/CT scans from 31 patients (7 men 22.6% and 24 women 77.4%, mean age 59 ± 10 years). Three datasets were used to predict EGFR amplification status via machine learning: 1) Radiomic features calculated as time series for each image biomarker; 2) Dynamic tumor-to-normal brain ratio (T/N) of radiopharmaceutical uptake - time series of T/N peak for 26 frames; 3) Static T/N - peak, max, and average T/N for static images. Results: Radiomics-based models achieved an average accuracy of 1.0 using k-nearest neighbors across thirty subsampling experiments. Despite this promising result, we approach it critically, considering significant methodological limitations of our study and similar works. These include a small sample size, lack of standardized regions of interest, and absence of reproducibility tests for the selected imaging biomarkers and resulting models. Conclusion: Further research should focus on reproducibility, which is crucial for ensuring the non-randomness, generalizability, and real-world value of our findings. https://ami.info.umfcluj.ro/index.php/AMI/article/view/1072GlioblastomaRadiomicsPositron Emission Tomography Computed TomographyArtificial IntelligenceEpidermal growth factor receptor |
| spellingShingle | Gleb DANILOV Andrey POSTNOV Diana KALAEVA Nina VIKHROVA Tatyana KOBYAKOVA Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? Applied Medical Informatics Glioblastoma Radiomics Positron Emission Tomography Computed Tomography Artificial Intelligence Epidermal growth factor receptor |
| title | Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? |
| title_full | Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? |
| title_fullStr | Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? |
| title_full_unstemmed | Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? |
| title_short | Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? |
| title_sort | can radiomics of dynamic pet imaging with 11c methionine predict egfr amplification status in glioblastoma |
| topic | Glioblastoma Radiomics Positron Emission Tomography Computed Tomography Artificial Intelligence Epidermal growth factor receptor |
| url | https://ami.info.umfcluj.ro/index.php/AMI/article/view/1072 |
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