Observational studySkeletal radiology2025
Evaluation of an automated laminar cartilage T2 relaxation time analysis method in an early osteoarthritis model.
Observational study in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00080171 (Osteoarthritis Initiative), which is not on this map. Cited by 6 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.
Osteoarthritis Initiative (OAI): A Knee Health Study
Who cites it
6 citing papers in PubMed.
- Artificial intelligence-based segmentation and quantitative assessment of knee cartilage in osteoarthritis: a systematic review and meta-analysis.International orthopaedics · 2026Review
- Clinical validation of fully automated (peri-)articular tissue analysis for assessing osteoarthritis progression: A narrative review.Osteoarthritis and cartilage open · 2026Review
- Exercise-Induced Changes in Knee Cartilage In Vivo: Comparing MRI Sequences.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Multifaceted imaging strategies for clinical trials of knee osteoarthritis-a tightly interlinked value and precision chain.Skeletal radiology · 2025Review
- A fully-automated technique for cartilage morphometry in knees with severe radiographic osteoarthritis - Method development and validation.Osteoarthritis and cartilage open · 2025Article
- Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation - Data from the FNIH biomarker cohort.Osteoarthritis and cartilage open · 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
9 authors.
Funding
Abstract
objectiveA fully automated laminar cartilage composition (MRI-based T2) analysis method was technically and clinically validated by comparing radiographically normal knees with (CL-JSN) and without contra-lateral joint space narrowing or other signs of radiographic osteoarthritis (OA, CL-noROA). MATERIALS AND
methods2D U-Nets were trained from manually segmented femorotibial cartilages (n = 72) from all 7 echoes (All
resultsThe agreement (Dice similarity coefficient) between automated vs. manual expert cartilage segmentation was between 0.82 ± 0.05/0.79 ± 0.06 (All
conclusionThe fully automated T2 analysis showed a high agreement, acceptable accuracy, and similar sensitivity to cross-sectional and longitudinal laminar T2 differences in an early OA model, compared with manual expert analysis.
trial registrationClinicaltrials.gov identification: NCT00080171.
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Registered trials
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