ArticleScientific reports2020
A practical method for multimodal registration and assessment of whole-brain disease burden using PET, MRI, and optical imaging.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 17 citations in OpenAlex.
- Voxel-accurate MRI-microscopy Correlation Enables AI-powered Prediction of Brain Disease States.Theranostics · 2026Article
- Advances in multimodal imaging techniques in nanomedicine: enhancing drug delivery precision.RSC advances · 2025Review
- Detection of biogenic magnetic nanoparticles in rapidly dividing tumor cells by the nonlinear magnetization method.Frontiers in bioengineering and biotechnology · 2025Article
- Improved Quantification of MicroPET/CT Imaging Using CT-derived Scaling Factors.Molecular imaging and biology · 2024Article
- Multimodal bioimaging across disciplines and scales: challenges, opportunities and breaking down barriers.Npj imaging · 2024Review
- Improved Quantification of MicroPET/CT Imaging Using CT-derived Scaling Factors.Research square · 2023Article
- MRI and amino acid PET detection of whole-brain tumor burden.Frontiers in oncology · 2023Article
- Challenges and Practical Solutions to MRI and Histology Matching and Measurements Using Available ImageJ Software Tools.Biomedicines · 2022Article
- Imaging Glioblastoma WithFrontiers in oncology · 2022Article
- Correlation of Tumor Hypoxia Metrics Derived fromTomography (Ann Arbor, Mich.) · 2020Article
- Imaging intravoxel vessel size distribution in the brain using susceptibility contrast enhanced MRI.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Many neurological diseases present with substantial genetic and phenotypic heterogeneity, making assessment of these diseases challenging. This has led to ineffective treatments, significant morbidity, and high mortality rates for patients with neurological diseases, including brain cancers and neurodegenerative disorders. Improved understanding of this heterogeneity is necessary if more effective treatments are to be developed. We describe a new method to measure phenotypic heterogeneity across the whole rodent brain at multiple spatial scales. The method involves co-registration and localized comparison of in vivo radiologic images (e.g. MRI, PET) with ex vivo optical reporter images (e.g. labeled cells, molecular targets, microvasculature) of optically cleared tissue slices. Ex vivo fluorescent images of optically cleared pathology slices are acquired with a preclinical in vivo optical imaging system across the entire rodent brain in under five minutes, making this methodology practical and feasible for most preclinical imaging labs. The methodology is applied in various examples demonstrating how it might be used to cross-validate and compare in vivo radiologic imaging with ex vivo optical imaging techniques for assessing hypoxia, microvasculature, and tumor growth.
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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.