ArticleJournal of digital imaging2013
Quantitative imaging biomarkers: the application of advanced image processing and analysis to clinical and preclinical decision making.
Article in Journal of digital imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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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.
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Who cites it
31 citing papers in PubMed.
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- Reclaiming the Microbial Battlefield: Adjuvant Strategies to Overcome Antibiotic Resistance.Microorganisms · 2026Review
- Biomarkers of Cardiac Metabolic Flexibility in Health, HFrEF and HFpEF.International journal of molecular sciences · 2026Review
- Quantitative Edge Analysis Can Differentiate Pancreatic Carcinoma from Normal Pancreatic Parenchyma.Diagnostics (Basel, Switzerland) · 2024Article
- qMAP enabled microanatomical mapping of human skin aging.bioRxiv : the preprint server for biology · 2024Article
- Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network.Journal of neuroscience methods · 2024Article
- Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- A Brief Review of Diagnostic Techniques and Clinical Management in Chronic Kidney Disease.Cureus · 2023Review
- Review
- Mechanical Biomarkers in Bone Using Image-Based Finite Element Analysis.Current osteoporosis reports · 2023Review
- Pre-Ophthalmoscopic Quantitative Biomarkers in Diabetes Mellitus.Translational vision science & technology · 2023Article
- Utilizing MRI, [Frontiers in nuclear medicine · 2023Article
- Application of a novel T1 retrospective quantification using internal references (T1-REQUIRE) algorithm to derive quantitative T1 relaxation maps of the brain.International journal of imaging systems and technology · 2022Article
- Functional MRI in major depressive disorder: A review of findings, limitations, and future prospects.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Review
- Article
- The Usefulness of Radiomics Methodology for Developing Descriptive and Prognostic Image-Based Phenotyping in the Aging Population: Results From a Small Feasibility Study.Frontiers in aging · 2022Article
- An integrated mass spectrometry imaging and digital pathology workflow for objective detection of colorectal tumours by unique atomic signatures.Chemical science · 2021Article
- The Use of Imaging Techniques in Chronic Kidney Disease-Mineral and Bone Disorders (CKD-MBD)-A Systematic Review.Diagnostics (Basel, Switzerland) · 2021Review
- Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.Scientific reports · 2021Article
- Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.Tomography (Ann Arbor, Mich.) · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The importance of medical imaging for clinical decision making has been steadily increasing over the last four decades. Recently, there has also been an emphasis on medical imaging for preclinical decision making, i.e., for use in pharamaceutical and medical device development. There is also a drive towards quantification of imaging findings by using quantitative imaging biomarkers, which can improve sensitivity, specificity, accuracy and reproducibility of imaged characteristics used for diagnostic and therapeutic decisions. An important component of the discovery, characterization, validation and application of quantitative imaging biomarkers is the extraction of information and meaning from images through image processing and subsequent analysis. However, many advanced image processing and analysis methods are not applied directly to questions of clinical interest, i.e., for diagnostic and therapeutic decision making, which is a consideration that should be closely linked to the development of such algorithms. This article is meant to address these concerns. First, quantitative imaging biomarkers are introduced by providing definitions and concepts. Then, potential applications of advanced image processing and analysis to areas of quantitative imaging biomarker research are described; specifically, research into osteoarthritis (OA), Alzheimer's disease (AD) and cancer is presented. Then, challenges in quantitative imaging biomarker research are discussed. Finally, a conceptual framework for integrating clinical and preclinical considerations into the development of quantitative imaging biomarkers and their computer-assisted methods of extraction is presented.
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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.