ArticleMolecular imaging and biology2020
Extracting and Selecting Robust Radiomic Features from PET/MR Images in Nasopharyngeal Carcinoma.
Article in Molecular imaging and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Decoding the Rotation Effect: A Retrospective Analysis of Lesion Orientation and Its Impact on Wavelet-Based Radiomics Feature Extraction and Lung Cancer Classification.Journal of imaging informatics in medicine · 2026Article
- Recent advances in early detection of nasopharyngeal carcinoma.Discover oncology · 2024Review
- Mitigating the impact of image processing variations on tumour [Scientific reports · 2024Article
- Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study.Japanese journal of radiology · 2024Article
- Optimization and validation of voxel size-related radiomics variability by combatting batch effect harmonization in pulmonary nodules: a phantom and clinical study.Quantitative imaging in medicine and surgery · 2023Article
- A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters.BMC medical imaging · 2022Article
- Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma.BMC medical imaging · 2022Article
- Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning BasedDiagnostics (Basel, Switzerland) · 2022Article
- Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography.EClinicalMedicine · 2022Article
- Detection and staging of recurrent or metastatic nasopharyngeal carcinoma in the era of FDG PET/MR.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022Article
- Identification of Phosphorylated Proteins Regulated by SDF2L1 in Nasopharyngeal Carcinoma Cells.Evolutionary bioinformatics online · 2022Article
- Prediction of 5-year progression-free survival in advanced nasopharyngeal carcinoma with pretreatment PET/CT using multi-modality deep learning-based radiomics.Frontiers in oncology · 2022Article
- Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review.Quantitative imaging in medicine and surgery · 2021Review
- A Systematic Review of PET Textural Analysis and Radiomics in Cancer.Diagnostics (Basel, Switzerland) · 2021Review
- Radiomics for Diagnosis and Radiotherapy of Nasopharyngeal Carcinoma.Frontiers in oncology · 2021Review
- Robustness Assessment of Images From a 0.35T Scanner of an Integrated MRI-Linac: Characterization of Radiomics Features in Phantom and Patient Data.Technology in cancer research & treatmentArticle
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11 authors.
Funding
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Abstract
objectivesThis work aims to study the variation, robustness, and feature redundancy of PET/MR radiomic features in the primary tumor of nasopharyngeal carcinoma (NPC). PROCEDURES: PET/MR scans of 21 NPC patients were used in this study. The primary tumor volumes were defined using PET, T2-weighted-MR (T2-MR), and diffusion-weighted MR (DW-MR) images. A random-dilation-erosion method was used to simulate 10 sets of tumor volumes for identifying features invariant with manual segmentation uncertainties. Feature robustness was evaluated against imaging modalities, pixel sizes, slice thickness, and grey-level bin sizes using intraclass correlation coefficient (ICC) and spearman correlation coefficient. Feature redundancy was analyzed using the hierarchical cluster analysis.
resultsVoxel size of 0.5 × 0.5 × 1.0 mm
conclusionsThe present study analyzed and identified robust features extracted from tumor volumes on PET/MR, which can provide guidance and promote standardization for PET/MR radiomic studies in NPC.
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