Current progress and quality of radiomic studies for predicting EGFR mutation in patients with non-small cell lung cancer using PET/CT images: a systematic review
| Autor: | Rongfang Shen, Naibijiang Abuduxiku, Meilinuer Abdurixiti, Qiu Ya, Ma-Yi-di-Li Ni-Jia-Ti, Mayila Nijiati |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Lung Neoplasms 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Carcinoma Non-Small-Cell Lung Positron Emission Tomography Computed Tomography medicine Humans Radiology Nuclear Medicine and imaging In patient Epidermal growth factor receptor Lung cancer Methodological quality PET-CT medicine.diagnostic_test biology business.industry General Medicine medicine.disease ErbB Receptors Positron emission tomography Egfr mutation 030220 oncology & carcinogenesis Mutation biology.protein Radiology Non small cell Systematic Review business |
| Zdroj: | Br J Radiol |
| ISSN: | 1748-880X |
| Popis: | Objectives: To assess the methodological quality of radiomic studies based on positron emission tomography/computed tomography (PET/CT) images predicting epidermal growth factor receptor (EGFR) mutation status in patients with non-small cell lung cancer (NSCLC). Methods: We systematically searched for eligible studies in the PubMed and Web of Science datasets using the terms “radiomics”, “PET/CT”, “NSCLC”, and “EGFR”. The included studies were screened by two reviewers independently. The quality of the radiomic workflow of studies was assessed using the Radiomics Quality Score (RQS). Interclass correlation coefficient (ICC) was used to determine inter rater agreement for the RQS. An overview of the methodologies used in steps of the radiomics workflow and current results are presented. Results: Six studies were included with sample sizes of 973 ranging from 115 to 248 patients. Methodologies in the radiomic workflow varied greatly. The first-order statistics were the most reproducible features. The RQS scores varied from 13.9 to 47.2%. All studies were scored below 50% due to defects on multiple segmentations, phantom study on all scanners, imaging at multiple time points, cut-off analyses, calibration statistics, prospective study, potential clinical utility, and cost-effectiveness analysis. The ICC results for majority of RQS items were excellent. The ICC for summed RQS was 0.986 [95% confidence interval (CI): 0.898–0.998]. Conclusions: The PET/CT-based radiomics signature could serve as a diagnostic indicator of EGFR mutation status in NSCLC patients. However, the current conclusions should be interpreted with care due to the suboptimal quality of the studies. Consensus for standardization of PET/CT-based radiomic workflow for EGFR mutation status in NSCLC patients is warranted to further improve research. Advances in knowledge: Radiomics can offer clinicians better insight into the prediction of EGFR mutation status in NSCLC patients, whereas the quality of relative studies should be improved before application to the clinical setting. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|