ArticleJOR spine2021
Development of a standardized histopathology scoring system using machine learning algorithms for intervertebral disc degeneration in the mouse model-An ORS spine section initiative.
Article in JOR spine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 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.
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Who cites it
68 citing papers in PubMed, 77 citations in OpenAlex.
- Intervertebral disc degeneration is accelerated by GH overexpression but attenuated by GH antagonism.GeroScience · 2026Article
- Large Language Models in Preclinical Spine Research: A Scoping Review and Expert Perspective on Evidence-Aware Experimental Workflows.JOR spine · 2026Article
- Transgenic Conversion of Omega-6 to Omega-3 Fatty Acids viaJOR spine · 2026Article
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- Raloxifene injections normalize age-related mechanical sensitization in female and male mice and augment intervertebral disc structure in old female mice.Osteoarthritis and cartilage · 2026Article
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- Viscoelastic and Morphologic Changes in the Lumbar Intervertebral Discs of the 5xFAD Mouse Model of Alzheimer's Disease.JOR spine · 2026Article
- Akkermansia muciniphila attenuates intervertebral disc degeneration via extracellular vesicle-mediated delivery of the effector protein B2UKX5.Bone research · 2026Article
- Simulated microgravity-driven mechanical unloading rescues PIEZO1-overexpression-induced growth plate ossification and retards adolescent idiopathic scoliosis.NPJ microgravity · 2026Article
- Revealing the Dynamic Association Between Lymphatic Endothelial Cell Markers and Intervertebral Disk Degeneration.Biomedicines · 2026Article
- Effects of Age on Intervertebral Disc Tissue Morphology and Gene Expression in the ADAM8-Inactivation Mouse.Cells · 2026Article
- An intelligent nanoliposome alleviates disc degeneration and discogenic pain by inhibiting neurovascular ingrowth via a "Soil-conditioning, seed-modulating, and weeds-suppressing" strategy.Bioactive materials · 2026Article
- Age and Spinal Level as Predictors of Lumbar Disc Degeneration in Humans and Mice: A Comparative Analysis.JOR spine · 2025Article
- High-Resolution 3-Dimensional Micro-CT Imaging of Intervertebral Discs Using a Novel Contrast Agent.JOR spine · 2025Article
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- Modest Effects of Age on Inflammatory Markers and Histological Features in the Murine Intervertebral Disc Injury Model.American journal of physical medicine & rehabilitation · 2025Article
- PIEZO1-Primary Cilia Axis Mediates Compressive Stress-Induced Growth Plate Degeneration and Ossification in Adolescent Idiopathic Scoliosis.JOR spine · 2025Article
- Degenerating intervertebral discs in the streptozotocin-high-fat diet model of type 2 diabetes show extensive inflammation.Disease models & mechanisms · 2025Article
- Article
- The transcriptome and secreted factors of the intervertebral discs in STZ-HFD Type 2 diabetic male mice reveal extensive inflammation.bioRxiv : the preprint server for biology · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
20 authors at 8 institutions in 5 countries.
Funding
Abstract
Mice have been increasingly used as preclinical model to elucidate mechanisms and test therapeutics for treating intervertebral disc degeneration (IDD). Several intervertebral disc (IVD) histological scoring systems have been proposed, but none exists that reliably quantitate mouse disc pathologies. Here, we report a new robust quantitative mouse IVD histopathological scoring system developed by building consensus from the spine community analyses of previous scoring systems and features noted on different mouse models of IDD. The new scoring system analyzes 14 key histopathological features from nucleus pulposus (NP), annulus fibrosus (AF), endplate (EP), and AF/NP/EP interface regions. Each feature is categorized and scored; hence, the weight for quantifying the disc histopathology is equally distributed and not driven by only a few features. We tested the new histopathological scoring criteria using images of lumbar and coccygeal discs from different IDD models of both sexes, including genetic, needle-punctured, static compressive models, and natural aging mice spanning neonatal to old age stages. Moreover, disc sections from common histological preparation techniques and stains including H&E, SafraninO/Fast green, and FAST were analyzed to enable better cross-study comparisons. Fleiss's multi-rater agreement test shows significant agreement by both experienced and novice multiple raters for all 14 features on several mouse models and sections prepared using various histological techniques. The sensitivity and specificity of the new scoring system was validated using artificial intelligence and supervised and unsupervised machine learning algorithms, including artificial neural networks,
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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.