ArticleQuantitative imaging in medicine and surgery2017
TumourMetrics: a comprehensive clinical solution for the standardization of DCE-MRI analysis in research and routine use.
Article in Quantitative imaging in medicine and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Review
- Investigating MRI-Associated Biological Aspects of Racial Disparities in Prostate Cancer for African American and White Men.Journal of magnetic resonance imaging : JMRI · 2025Article
- Quantitative Perfusion-Weighted Magnetic Resonance Imaging in Uveal Melanoma.Investigative ophthalmology & visual science · 2024Article
- Improved diagnostic accuracy of readout-segmented echo-planar imaging for peripheral zone clinically significant prostate cancer: a retrospective 3T MRI study.Scientific reports · 2024Article
- Early Differentiation of Irreversible Electroporation Ablation Regions With Radiomics Features of Conventional MRI.Academic radiology · 2022Article
- Article
- Medical physics challenges in clinical MR-guided radiotherapy.Radiation oncology (London, England) · 2020Review
- Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats.Cancer · 2018Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA reliable analysis methodology is needed to provide valuable imaging biomarkers for clinical trials, with particular regards to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) application using pharmacokinetic (PK) model analysis. In order to address this scientific challenge, we provided a comprehensive analysis solution that could overcome the impediments to clinical research and routine use.
methodsTumourMetrics has been designed to meet the Quantitative Imaging Biomarkers Alliance (QIBA) v.1.0 profile. The quality performance was assessed using the QIBA test data and our customizable numeric phantom. The analysis workflow is made customizable to facilitate standardization of optimized protocol across centers.
resultsOur quantification workflow estimated the PK model parameters accurately. The method is robust, almost fully automatic and allows a direct integration of the results into the diagnostic workflow.
conclusionsThe analysis is easy-to-use and accessible for routine implementation of DCE-MRI into clinical practice.
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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.