ArticleNeural regeneration research2018
Dynamic correlation of diffusion tensor imaging and neurological function scores in beagles with spinal cord injury.
Article in Neural regeneration research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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
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Who cites it
6 citing papers in PubMed.
- Tissue engineering for traumatic spinal cord injury: Research advances and clinical translation.Bioactive materials · 2026Review
- Diffusion tensor imaging reveals brain structure changes in dogs after spinal cord injury.Neural regeneration research · 2023Article
- Effect ofBioMed research international · 2021Article
- Magnetization transfer and diffusion tensor imaging in dogs with intervertebral disk herniation.Journal of veterinary internal medicine · 2020Article
- Use of ebselen as a neuroprotective agent in rat spinal cord subjected to traumatic injury.Neural regeneration research · 2019Article
- Dynamic changes in intramedullary pressure 72 hours after spinal cord injury.Neural regeneration research · 2019Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exploring the relationship between different structure of the spinal cord and functional assessment after spinal cord injury is important. Quantitative diffusion tensor imaging can provide information about the microstructure of nerve tissue and can quantify the pathological damage of spinal cord white matter and gray matter. In this study, a custom-designed spinal cord contusion-impactor was used to damage the T
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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.