ReviewKorean journal of radiology2023
Magnetic Resonance Imaging Grading Systems for Central Canal and Neural Foraminal Stenoses of the Lumbar and Cervical Spines With a Focus on the Lee Grading System.
Review in Korean journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025Pooled it
- Response predictors for lumbar epidural steroid injection outcomes for radiculopathy: a retrospective study.Pain reports · 2026Article
- Predicting Craniospinal Surgery in Pediatric Achondroplasia: Benchmarking Statistical Inference and Explainable AI Under Rare-Disease Constraints.Annals of biomedical engineering · 2026Article
- Fat matters: paraspinal muscle quality is associated with electromyographic fatigability and endurance in lumbar spinal stenosis.North American Spine Society journal · 2026Article
- Lumbar Magnetic Resonance Imaging Profiles and Their Association with Low Back Pain in Dentists: A Cluster Analysis Study.Diagnostics (Basel, Switzerland) · 2026Article
- Development and multi-institutional validation of a deep learning algorithm for predicting cervical cord compression using dynamic cervical lateral radiographs.Scientific reports · 2026Article
- Associations between MRI changes of degenerative lumbar spine and Oswestry Disability Index in patients with chronic low back pain: a cross-sectional study.Annals of medicine and surgery (2012) · 2026Article
- Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection.Scientific data · 2026Article
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- Deep learning-based lightweight model for automated lumbar foraminal stenosis classification: sagittal CT diagnostic performance compared to clinical subspecialists.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Segmental asymmetry and multiplanar motion of the lumbar spine: Cadaveric insights into spinal pathologies.Journal of the mechanical behavior of biomedical materials · 2026Article
- Effectiveness, Safety, and Economic Evaluation of Ultrasound-Guided Acupotomy for Degenerative Lumbar Spinal Stenosis Compared with Conventional Physical Therapy: A Randomized Controlled Trial Protocol.Journal of pain research · 2026Article
- Effects of Hip Joint Motion-Style Acupuncture Treatment in Patients with Acute Radiating Leg Symptoms After Traffic Accidents: A Pilot Pragmatic Randomized Controlled Trial.Journal of pain research · 2026Article
- Stratified and combined analysis of the quality of lumbar spinal stenosis-related videos on major Chinese short video platforms.Frontiers in digital health · 2026Article
- Association Between Radiological Stenosis Level and Patient-Reported Outcomes in Patients with Lumbar Spinal Stenosis: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2025Article
- Diagnostic performance of lumbar spine CT using deep learning denoising to evaluate disc herniation and spinal stenosis.European radiology · 2025Article
- Utility of Emergent Spine MRI in the Emergency Department.The western journal of emergency medicine · 2025Article
- MRI evaluation of lumbar foraminal stenosis: correlation between a new quantitative evaluation and the qualitative Lee's classification.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025Article
- Quantification and classification of lumbar disc herniation on axial magnetic resonance images using deep learning models.La Radiologia medica · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance imaging (MRI) is a standard imaging modality for diagnosing spinal stenosis, which is a common degenerative disorder in the elderly population. Standardized interpretation of spinal MRI for diagnosing and grading the severity of spinal stenosis is necessary to ensure correct communication with clinicians and to conduct clinical research. In this review, we revisit the Lee grading system for central canal and neural foraminal stenosis of the cervical and lumbar spine, which are based on the pathophysiology and radiologic findings of spinal stenosis.
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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.