ReviewFrontiers in oncology2021
The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up.
Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Over- and underscreening for lung cancer.Translational lung cancer research · 2026Review
- Radiogenomic approach combining CT-based radiomics and liquid biopsy improves prognostic stratification in patients with advanced NSCLC.The journal of liquid biopsy · 2026Article
- Opportunities and challenges of immunotherapy for patients with resectable and potentially resectable stage III non-small cell lung cancer.Cancer biology & medicine · 2026Review
- The impact of preoperative percutaneous transthoracic needle biopsy on pleural recurrence in clinically early-stage non-small cell lung cancer.Journal of thoracic disease · 2025Article
- Precision Medicine in Lung Cancer Screening: A Paradigm Shift in Early Detection-Precision Screening for Lung Cancer.Diagnostics (Basel, Switzerland) · 2025Review
- Review
- Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.Frontiers in medicine · 2025Article
- Lung cancer screening: where do we stand?Breathe (Sheffield, England) · 2024Review
- Advances in Clinical Imaging of Vascular Inflammation: A State-of-the-Art Review.JACC. Basic to translational science · 2024Review
- Machine learning-based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis.Thoracic cancer · 2024Article
- Predicting micropapillary or solid pattern of lung adenocarcinoma with CT-based radiomics, conventional radiographic and clinical features.Respiratory research · 2023Article
- The importance of planning CT-based imaging features for machine learning-based prediction of pain response.Scientific reports · 2023Article
- Article
- Lung CT stabilization with high-frequency non-invasive ventilation (HF-NIV) and breath-hold (BH) in lung nodule assessment by PET/CT.European journal of hybrid imaging · 2023Article
- Article
- Radiomics in Lung Metastases: A Systematic Review.Journal of personalized medicine · 2023Review
- [Research Progress in Imaging-based Diagnosis of Benign and Malignant Enlarged Lymph Nodes in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Review
- A review of radiomics and genomics applications in cancers: the way towards precision medicine.Radiation oncology (London, England) · 2022Review
- Deep-Learning Algorithm and Concomitant Biomarker Identification for NSCLC Prediction Using Multi-Omics Data Integration.Biomolecules · 2022Article
- Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [European journal of hybrid imaging · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLung cancer represents the first cause of cancer-related death in the world. Radiomics studies arise rapidly in this late decade. The aim of this review is to identify important recent publications to be synthesized into a comprehensive review of the current status of radiomics in lung cancer at each step of the patients' care.
methodsA literature review was conducted using PubMed/Medline for search of relevant peer-reviewed publications from January 2012 to June 2020.
resultsWe identified several studies at each point of patient's care: detection and classification of lung nodules (n=16), determination of histology and genomic (n=10) and finally treatment outcomes predictions (=23). We reported the methodology of those studies and their results and discuss the limitations and the progress to be made for clinical routine applications.
conclusionPromising perspectives arise from machine learning applications and radiomics based models in lung cancers, yet further data are necessary for their implementation in daily care. Multicentric collaboration and attention to quality and reproductivity of radiomics studies should be further consider.
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