ReviewMedical physics2022
Challenges in ensuring the generalizability of image quantitation methods for MRI.
Review in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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.
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Cellular deconvolution of the brain with topological magnetic resonance image analysis.bioRxiv : the preprint server for biology · 2025Article
- MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis.International journal of colorectal disease · 2025Article
- Open-source, customizable phantom for low-field magnetic resonance imaging.Magma (New York, N.Y.) · 2025Article
- Repeatability of 3D MR fingerprinting during scanner software upgrades.Magma (New York, N.Y.) · 2025Article
- Color-map recommendation for MR relaxometry maps.Magnetic resonance in medicine · 2025Article
- Data Harmonization with StyleTransfer-GANs: Enhancing Non-Invasive IDH Classification in Brain Tumors.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- The Role of Synthetic MRI and Radiomics in Breast Cancer: A Review.Advanced biomedical research · 2025Review
- Advancements in deep learning for early diagnosis of Alzheimer's disease using multimodal neuroimaging: challenges and future directions.Frontiers in neuroinformatics · 2025Review
- The Diagnostic Performance ofIranian journal of public health · 2024Review
- Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer.Scientific reports · 2024Article
- A Review on the Use of Imaging Biomarkers in Oncology Clinical Trials: Quality Assurance Strategies for Technical Validation.Tomography (Ann Arbor, Mich.) · 2023Review
- Delivering a Quantitative Imaging Agenda.Cancers · 2023Article
- Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities.Frontiers in medicine · 2023Article
- Editorial: Fast Multi-Parameter Magnetic Resonance Neuroimaging.Frontiers in neuroscience · 2022Article
- The Road Toward Reproducibility of Parametric Mapping of the Heart: A Technical Review.Frontiers in cardiovascular medicine · 2022Review
- MRSaiFE: An AI-based Approach Towards the Real-Time Prediction of Specific Absorption Rate.IEEE access : practical innovations, open solutions · 2021Article
- Discrimination of benign, atypical, and malignant peripheral nerve sheath tumors in neurofibromatosis type 1 using diffusion-weighted MRI.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Image quantitation methods including quantitative MRI, multiparametric MRI, and radiomics offer great promise for clinical use. However, many of these methods have limited clinical adoption, in part due to issues of generalizability, that is, the ability to translate methods and models across institutions. Researchers can assess generalizability through measurement of repeatability and reproducibility, thus quantifying different aspects of measurement variance. In this article, we review the challenges to ensuring repeatability and reproducibility of image quantitation methods as well as present strategies to minimize their variance to enable wider clinical implementation. We present possible solutions for achieving clinically acceptable performance of image quantitation methods and briefly discuss the impact of minimizing variance and achieving generalizability towards clinical implementation and adoption.
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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.