ArticleInsights into imaging2019
Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR).
Article in Insights into imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review.Abdominal radiology (New York) · 2022Pooled it
- Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Pooled it
- Tumor metrics imaging core labs: primer for radiologists.Abdominal radiology (New York) · 2026Review
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study.European radiology experimental · 2026Article
- Steps on the Path to Clinical Translation-A British and Irish Chapter ISMRM Workshop Survey of the UK MRI Community.Magnetic resonance in medicine · 2026Review
- Artificial intelligence for clinical trial design, conduct, and analysis: a narrative review.ESMO real world data and digital oncology · 2026Review
- Parametric Imaging for Precision Medicine: Our Perspective on the Special Issue "Applications of Imaging Technology in Human Diseases".Biomedicines · 2026Article
- Review
- Neurodevelopmental disorders in children: the role of MRI in early detection and intervention planning.Frontiers in neuroscience · 2026Review
- Towards precision MRI biomarkers in epilepsy with normative modelling.Brain : a journal of neurology · 2025Review
- Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development.ESMO real world data and digital oncology · 2025Review
- Retinal Biomarkers in Diabetic Retinopathy: From Early Detection to Personalized Treatment.Journal of clinical medicine · 2025Review
- Impact of technical, patient-related and measurement variables on serial Hounsfield unit-based quantitative coronary plaque analysis in computed tomography: time for a new chapter.European heart journal. Imaging methods and practice · 2025Review
- Towards equitable AI in oncology.Nature reviews. Clinical oncology · 2024Review
- [Using Artificial Intelligence Software for Diagnosing Emphysema and Interstitial Lung Disease].Journal of the Korean Society of Radiology · 2024Review
- An objective measure of response on whole-body MRI in metastatic hormone sensitive prostate cancer treated with androgen deprivation therapy, external beam radiotherapy, and radium-223.The British journal of radiology · 2024Article
- Navigating Nutritional Strategies: A Comprehensive Review of Early and Delayed Enteral Feeding in Acute Pancreatitis.Cureus · 2024Review
- Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility study.Frontiers in oncology · 2024Article
- Article
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
Observer-driven pattern recognition is the standard for interpretation of medical images. To achieve global parity in interpretation, semi-quantitative scoring systems have been developed based on observer assessments; these are widely used in scoring coronary artery disease, the arthritides and neurological conditions and for indicating the likelihood of malignancy. However, in an era of machine learning and artificial intelligence, it is increasingly desirable that we extract quantitative biomarkers from medical images that inform on disease detection, characterisation, monitoring and assessment of response to treatment. Quantitation has the potential to provide objective decision-support tools in the management pathway of patients. Despite this, the quantitative potential of imaging remains under-exploited because of variability of the measurement, lack of harmonised systems for data acquisition and analysis, and crucially, a paucity of evidence on how such quantitation potentially affects clinical decision-making and patient outcome. This article reviews the current evidence for the use of semi-quantitative and quantitative biomarkers in clinical settings at various stages of the disease pathway including diagnosis, staging and prognosis, as well as predicting and detecting treatment response. It critically appraises current practice and sets out recommendations for using imaging objectively to drive patient management decisions.
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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.