ReviewRadiology. Cardiothoracic imaging2020
Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT.
Review in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- An applied study on the assessment of concomitant pulmonary hypertension in patients with chronic obstructive pulmonary disease based on whole-lung CT imaging histologic features.Journal of thoracic disease · 2026Article
- Pulmonary contusion volume and radiomics as predictors of early-onset pneumonia in trauma patients, a retrospective single-centre study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Observational
- Chest computed tomography for patients with sepsis in the emergency intensive care unit.Scientific data · 2024Article
- Feasibility study of opportunistic osteoporosis screening on chest CT using a multi-feature fusion DCNN model.Archives of osteoporosis · 2024Article
- Advancing acute respiratory failure management through artificial intelligence: a call for thematic collection contributions.Intensive care medicine experimental · 2024Article
- Comparison of deep-learning and radiomics-based machine-learning methods for the identification of chronic obstructive pulmonary disease on low-dose computed tomography images.Quantitative imaging in medicine and surgery · 2024Article
- The Role of Radiomics in Rectal Cancer.Journal of gastrointestinal cancer · 2023Review
- Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer.Nature cancer · 2022Article
- Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review.Diagnostics (Basel, Switzerland) · 2021Review
- Radiomics in Chest CT: Where Are We Going?Radiology. Cardiothoracic imaging · 2020Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Chest CT scans are one of the most common medical imaging procedures. The automatic extraction and quantification of imaging features may help in diagnosis, prognosis of, or treatment decision in cardiovascular, pulmonary, and metabolic diseases. However, an adequate sample size as a statistical necessity for radiomics studies is often difficult to achieve in prospective trials. By exploiting imaging data from clinical routine, a much larger amount of data could be used than in clinical trials. Still, there is only little literature on the implementation of radiomics in clinical routine chest CT scans. Reasons are heterogeneous CT scanning protocols and the resulting technical variability (eg, different slice thicknesses, reconstruction kernels or timings after contrast material administration) in routine CT imaging data. This review summarizes the recent state of the art of studies aiming to develop quantifiable imaging biomarkers at chest CT, such as for osteoporosis, chronic obstructive pulmonary disease, interstitial lung disease, and coronary artery disease. This review explains solutions to overcome heterogeneity in routine data such as the use of imaging repositories, the standardization of radiomic features, algorithmic approaches to improve feature stability, test-retest studies, and the evolution of deep learning for modeling radiomics features.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.