SynthesisScientific reports2017
The diagnostic accuracy of magnetic resonance imaging for anterior cruciate ligament injury in comparison to arthroscopy: a meta-analysis.
Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- AI demonstrates comparable diagnostic performance to radiologists in MRI detection of anterior cruciate ligament tears: a systematic review and meta-analysis.European radiology · 2026Pooled it
- Impact of AI assistance on radiologist interpretation of knee MRI.European radiology · 2026Article
- Machine and deep learning models for ligament injury recognition: a systematic review and meta-analysis of imaging and novel diagnostic techniques.EFORT open reviews · 2026Article
- Evaluation of the anterior cruciate ligament-injured high-level athlete: a narrative review.Annals of joint · 2026Review
- Reliability of Preoperative Magnetic Resonance Imaging in Determining the Anterior Cruciate Ligament Tear Location.Orthopaedic journal of sports medicine · 2025Article
- Precision of Magnetic Resonance Imaging in Detection of Anterior Cruciate Ligament and Posterior Cruciate Ligament Ruptures and Subsequent Arthroscopic Correlations: An Investigation.Revista brasileira de ortopedia · 2024Article
- Posterior Cruciate Buckling Angle Variations Are Associated with Different Patterns of Medial Meniscus Tears in Anterior-Cruciate-Deficient Knees: Results of a Prospective Comparative Magnetic Imaging Resonance Study.Healthcare (Basel, Switzerland) · 2024Article
- Diagnostic Accuracy of Non-invasive Tests Versus Arthroscopy in Anterior Cruciate Ligament (ACL) Injuries.Cureus · 2024Article
- One-stop detection of anterior cruciate ligament injuries on magnetic resonance imaging using deep learning with multicenter validation.Quantitative imaging in medicine and surgery · 2024Article
- Lightweight Attentive Graph Neural Network with Conditional Random Field for Diagnosis of Anterior Cruciate Ligament Tear.Journal of imaging informatics in medicine · 2024Article
- Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears.Journal of orthopaedic surgery and research · 2024Article
- A new modified MR dual precision positioning of thin-slice oblique sagittal fat suppression proton density weighted imaging: its diagnostic accuracy in anterior cruciate ligament injury.Scientific reports · 2024Article
- Magnetic Resonance Imaging of Anterior Cruciate Ligament Injury.Orthopedic research and reviews · 2024Review
- Valid and reliable diagnostic performance of dual-energy CT in anterior cruciate ligament rupture.European radiology · 2023Article
- Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules.BMC medical imaging · 2023Article
- A transfer learning approach for staging diagnosis of anterior cruciate ligament injury on a new modified MR dual precision positioning of thin-slice oblique sagittal FS-PDWI sequence.Japanese journal of radiology · 2023Article
- Anterior Cruciate Ligament Tear Using Magnetic Resonance Imaging among Patients Undergoing Arthroscopy in a Tertiary Care Centre: A Descriptive Cross-sectional Study.JNMA; journal of the Nepal Medical Association · 2023Article
- Cartilaginous predictors of residual acetabular dysplasia (RAD) in developmental dysplasia of the hip following closed or open reduction: A systematic review and meta-analysis.Frontiers in pediatrics · 2023Review
- Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation.European radiology · 2022Article
- Evaluation of Osteochondral Allograft Transplant Using In-Office Needle Arthroscopy.Arthroscopy techniques · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We performed this meta-analysis to examine the diagnostic accuracy of MRI for the diagnosis of anterior cruciate ligament (ACL) injury in comparison to arthroscopy. We also compared the diagnostic accuracy of MRI with magnetic field intensities (MFI) greater than or equal to 1.5T with those below 1.5T, in addition to different MRI sequences. Studies relevant to the diagnosis of ACL injury by MRI and arthroscopy were analyzed. Computer and manual retrieval were carried out on studies published between January 1, 2006 and May 31, 2016. Twenty-one papers were included. Neither threshold nor non-threshold effects were present (p = 0.40, p = 0.06). The pooled sensitivity (SE), specificity (SP), positive likelihood ratio (LR+), negative likelihood ratio (LR-) and diagnostic odds ratio (DOR) with 95% confidence interval (CI) were 87% (84-90%), 90% (88-92%), 6.78 (4.87-9.44), 0.16 (0.13-0.20) and 44.70 (32.34-61.79), respectively. The area under the curve (AUC) was 0.93. The risk of publication bias was negligible (p = 0.75). In conclusion, examination by MRI is able to provide appreciable diagnostic performance. However, the principle, which states that the higher the MFI, the better the diagnostic accuracy, could not be verified. Additionally, conventional sequences (CSs) associated with proton density-weighted imaging (PDWI) are only slightly better than CSs alone, but not statistically different.
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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.