0.2-Tesla magnetic resonance imaging of internal lesions of the knee joint: a prospective arthroscopically controlled clinical study

Riel, K.-A.; Reinisch, M.; Kersting-Sommerhoff, B; Hof, N.; Merl, T.

doi:10.1007/s001670050118

Cited by 52 publications

(32 citation statements)

References 9 publications

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“…Similar study conducted by Singh J P et al [15] showed accuracy of 98.84% with sensitivity of 98.72% and specificity of 98.94%. A study done by Riel et al [16] found similar results with accuracy of 97% and sensitivity and specificity of 98% both. Gupta MK et al [17] conducted identical studies on 40 patients with knee injuries with comparable objectives found accuracy of MRI for ACL tear to be 90% with sensitivity of 91.3% and specificity of 88.2%.…”

Section: Discussionsupporting

confidence: 63%

Categorization of discrepancies in findings of menisci and cruciate ligament between arthroscopy and MRI

Shaw¹,

Ng²,

Chowdhury³

2018

Int. J. Orthop. Sci.

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Background: The stability of the joint is highly dependent on its supporting ligamentous structures, therefore injuries of ligaments and menisci are extremely common. Objective: To categorize discrepancies in findings of menisci and cruciate ligament between arthroscopy and MRI. Methodology: This prospective, comparative observational study was conducted at Ramkrishna Care Hospital, Raipur, Chhattisgarh. Informed consent was taken from all patients undergoing this study. We prospectively studied 67 patients with complaints of knee pain or instability/locking/giving away sensation with history of knee injury between the age group of 15-60 years over a period of 24 months starting from November 2014 to October 2016. Results: MRI showed 100% sensitivity and negative predictive value for ACL tear while specificity was 66.67% and accuracy of 95.52% with positive predictive value of 95.08%. MRI showed 100% positive predictive value for PCL tear while negative predictive value was 98.48%, alongwith sensitivity of 50% with specificity of 100% and accuracy of 98.51%. MRI showed positive predictive value of 57.58% for MM tear while negative predictive value was 88.24%, alongwith sensitivity of 82.61%, specificity of 68.18% and accuracy of 73.13%. MRI showed 75% positive predictive value for LM tear with a negative predictive value of 93.62%, alongwith sensitivity of 83.33%, specificity of 89.80% and accuracy of 88.06%. Conclusion: It was concluded MRI has high accuracy in diagnosing both meniscal and cruciate ligament injuries. The sensitivity for ACL tear is higher as compared to PCL while that of meniscal tear are almost equal.

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Section: Discussionsupporting

confidence: 63%

Categorization of discrepancies in findings of menisci and cruciate ligament between arthroscopy and MRI

Shaw¹,

Ng²,

Chowdhury³

2018

Int. J. Orthop. Sci.

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“…There have been several comparisons of diagnostic performance of diagnosing meniscal tears, cruciate ligaments, and cartilage lesions between low-field and high-field MRI data [7]- [9] reporting everything from compatible performance to the high-field unit outperforming the low-field unit. There has also been a comparison between lowfield MRI and arthroscopy [10] finding a good correspondence between the two for cruciate ligament and lesion detection in the knee.…”

Section: Introductionmentioning

confidence: 99%

Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach

Folkesson

Dam

Olsen

et al. 2007

IEEE Trans. Med. Imaging

167

159

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Abstract-We present a fully automatic method for articular cartilage segmentation from magnetic resonance imaging (MRI) which we use as the foundation of a quantitative cartilage assessment. We evaluate our method by comparisons to manual segmentations by a radiologist and by examining the interscan reproducibility of the volume and area estimates. Training and evaluation of the method is performed on a data set consisting of 139 scans of knees with a status ranging from healthy to severely osteoarthritic. This is, to our knowledge, the only fully automatic cartilage segmentation method that has good agreement with manual segmentations, an interscan reproducibility as good as that of a human expert, and enables the separation between healthy and osteoarthritic populations. While high-field scanners offer high-quality imaging from which the articular cartilage have been evaluated extensively using manual and automated image analysis techniques, low-field scanners on the other hand produce lower quality images but to a fraction of the cost of their high-field counterpart. For low-field MRI, there is no well-established accuracy validation for quantitative cartilage estimates, but we show that differences between healthy and osteoarthritic populations are statistically significant using our cartilage volume and surface area estimates, which suggests that low-field MRI analysis can become a useful, affordable tool in clinical studies.

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“…[28][29][30][31] It is noninvasive, fast, can be done on an outpatient basis, and is free of complications. Despite this, magnetic resonance imaging is a new technology, 32 which means that clinical experience is still lacking. Additionally, there are doubts about the accuracy of magnetic resonance imaging and the clinical advantages of this test, since it is still an expensive procedure.…”

mentioning

confidence: 99%

Accuracy of Magnetic Resonance in Identifying Traumatic Intraarticular Knee Lesions

Vaz

Camargo

Santana

et al. 2005

Clinics

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PURPOSE:To evaluate the diagnostic accuracy of magnetic resonance imaging of the knee in identifying traumatic intraarticular knee lesions. METHOD: 300 patients with a clinical diagnosis of traumatic intraarticular knee lesions underwent prearthoscopic magnetic resonance imaging. The sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratio for a positive test, likelihood ratio for a negative test, and accuracy of magnetic resonance imaging were calculated relative to the findings during arthroscopy in the studied structures of the knee (medial meniscus, lateral meniscus, anterior cruciate ligament, posterior cruciate ligament, and articular cartilage). RESULTS: Magnetic resonance imaging produced the following results regarding detection of lesions: medial meniscus: sensitivity 97.5%, specificity 92.9%, positive predictive value 93.9%, positive negative value 97%, likelihood positive ratio 13.7, likelihood negative ratio 0.02, and accuracy 95.3%; lateral meniscus: sensitivity 91.9%, specificity 93.6%, positive predictive value 92.7%, positive negative value 92.9%, likelihood positive ratio 14.3, likelihood negative ratio 0.08, and accuracy 93.6%; anterior cruciate ligament: sensitivity 99.0%, specificity 95.9%, positive predictive value 91.9%, positive negative value 99.5%, likelihood positive ratio 21.5, likelihood negative ratio 0.01, and accuracy 96.6%; posterior cruciate ligament: sensitivity 100%, specificity 99%, positive predictive value 80.0%, positive negative value 100%, likelihood positive ratio 100, likelihood negative ratio 0.01, and accuracy 99.6%; articular cartilage: sensitivity 76.1%, specificity 94.9%, positive predictive value 94.7%, positive negative value 76.9%, likelihood positive ratio 14.9, likelihood negative ratio 0.25, and accuracy 84.6%. CONCLUSION: Magnetic resonance imaging is a satisfactory diagnostic tool for evaluating meniscal and ligamentous lesions of the knee, but it is unable to clearly identify articular cartilage lesions.

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0.2-Tesla magnetic resonance imaging of internal lesions of the knee joint: a prospective arthroscopically controlled clinical study

Cited by 52 publications

References 9 publications

Categorization of discrepancies in findings of menisci and cruciate ligament between arthroscopy and MRI

Categorization of discrepancies in findings of menisci and cruciate ligament between arthroscopy and MRI

Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach

Accuracy of Magnetic Resonance in Identifying Traumatic Intraarticular Knee Lesions

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