ArticleScientific reports2020
Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women's cervix.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
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- Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions.World journal of gastrointestinal oncology · 2026Article
- Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn's Disease on CT Enterography Across Annotation Variations and Acquisition Differences.Journal of imaging informatics in medicine · 2025Article
- Artificial intelligence in hepatocellular carcinoma screening: applications and challenges.Frontiers in medicine · 2025Review
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- Radiomic study of antenatal prediction of severe placenta accreta spectrum from MRI.The British journal of radiology · 2024Article
- Towards equitable AI in oncology.Nature reviews. Clinical oncology · 2024Review
- Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer.European radiology · 2023Article
- Uniqueness of radiomic features in non-small cell lung cancer.Journal of applied clinical medical physics · 2022Article
- Improved generalized ComBat methods for harmonization of radiomic features.Scientific reports · 2022Article
- Harmonization Strategies in Multicenter MRI-Based Radiomics.Journal of imaging · 2022Review
- Phantom Study on the Robustness of MR Radiomics Features: Comparing the Applicability of 3D Printed and Biological Phantoms.Diagnostics (Basel, Switzerland) · 2022Article
- Challenges in ensuring the generalizability of image quantitation methods for MRI.Medical physics · 2022Review
- Generalized ComBat harmonization methods for radiomic features with multi-modal distributions and multiple batch effects.Scientific reports · 2022Article
- Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility.European radiology · 2022Article
- Repeatability and Image Quality of IDEAL-IQ in Human Lumbar Vertebrae for Fat and Iron Quantification across Acquisition Parameters.Computational and mathematical methods in medicine · 2022Article
- Radiomics in Nasopharyngeal Carcinoma.Clinical Medicine Insights. Oncology · 2022Review
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MR Radiomics based on cervical lesions from one single scanner has achieved promising results. However, it is a challenge to achieve clinical translation. Considering multi-scanners and non-uniform scanning parameters from different centers in a real-world medical scenario, we should first identify the influence of such conditions on the robustness of MR radiomics features (RFs) based on the female cervix. In this study, 9 healthy female volunteers were enrolled and 3 kiwis were selected as references. Each of them underwent T2 weighted imaging in three different 3.0-T MR scanners with uniform acquisition parameters, and in one MR scanner with various scanning parameters. A total of 396 RFs were extracted from their images with and without decile intensity normalization. The RFs' reproducibility was evaluated by coefficient of variation (CV) and quartile coefficient of dispersion (QCD). Representative features were selected using the hierarchical cluster analysis and their discrimination abilities were estimated by ROC analysis through retrospective comparison with the junctional zone and the outer muscular layer of healthy cervix in patients (n = 58) with leiomyoma. This study showed that only a few RFs were robust across different MR scanners and acquisition parameters based on females' cervix, which might be improved by decile intensity normalization method.
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