ReviewBioengineering & translational medicine2018
Engineering molecular imaging strategies for regenerative medicine.
Review in Bioengineering & translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed, 20 citations in OpenAlex.
- Stem cells therapy molecular tracking - the special focus on nuclear medicine.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026Review
- Toward Fully Automated Personalized Orthopedic Treatments: Innovations and Interdisciplinary Gaps.Bioengineering (Basel, Switzerland) · 2024Review
- An altered oral microbiota induced by injections of superparamagnetic iron oxide nanoparticle-labeled periodontal ligament stem cells helps periodontal bone regeneration in rats.Bioengineering & translational medicine · 2023Article
- A brief review of reporter gene imaging in oncolytic virotherapy and gene therapy.Molecular therapy oncolytics · 2021Review
- [18F]FDG-labelled stem cell PET imaging in different route of administrations and multiple animal species.Scientific reports · 2021Article
- Multi-Scale Imaging of Vascular Pathologies in Cardiovascular Disease.Frontiers in medicine · 2021Review
- A novel MRI compatible mouse fracture model to characterize and monitor bone regeneration and tissue composition.Scientific reports · 2020Article
- Biomedical Applications of Tissue Clearing and Three-Dimensional Imaging in Health and Disease.iScience · 2020Review
- Editorial: The launch phase ofBioengineering & translational medicine · 2019Article
- In Vivo Tracking of Tissue Engineered Constructs.Micromachines · 2019Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The reshaping of the world's aging population has created an urgent need for therapies for chronic diseases. Regenerative medicine offers a ray of hope, and its complex solutions include material, cellular, or tissue systems. We review basics of regenerative medicine/stem cells and describe how the field of molecular imaging, which is based on quantitative, noninvasive, imaging of biological events in living subjects, can be applied to regenerative medicine in order to interrogate tissues in innovative, informative, and personalized ways. We consider aspects of regenerative medicine for which molecular imaging will benefit. Next, genetic and nanoparticle-based cell imaging strategies are discussed in detail, with modalities like magnetic resonance imaging, optical imaging (near infra-red, bioluminescence), raman microscopy, and photoacoustic microscopy), ultrasound, computed tomography, single-photon computed tomography, and positron emission tomography. We conclude with a discussion of "next generation" molecular imaging strategies, including imaging host tissues prior to cell/tissue transplantation.
Identifiers
What OpenQuestion holds
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.