2019
DOI: 10.1007/s00167-019-05599-9
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Lateral meniscus posterior root tear in anterior cruciate ligament injury can be detected using MRI-specific signs in combination but not individually

Abstract: Purpose The purpose of this study was to evaluate (1) the diagnostic value of using single and multiple magnetic resonance imaging (MRI) findings for lateral meniscus posterior root tear (LMPRT) detection in anterior cruciate ligament (ACL) injury and (2) the influence of time from ACL injury to MRI assessment on LMPRT detection. Finally, we investigated the relationship between LMPRT and bone bruising. Methods In all, 231 knees with ACL injury, 32 with LMPRT, were retrospectively assessed. Cases were evaluate… Show more

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Cited by 21 publications
(23 citation statements)
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“…where L is the peak signal, f is the ideal image, g is the image to be estimated, MSE(f, g) is the mean square error of the image, 2 , and M × N is the size of the image to be estimated. e structural similarity (SSIM) evaluation result is similar to the human senses, which is calculated as follows: (14) where μ f , μ g , σ f , and σ g are the mean values and standard deviations of the ideal image f and the image g to be evaluated, respectively, σ fg is the covariance of f and g, c 1 � (k 1 R) 2 , c 2 � (k 2 R) 2 , R is the range of image pixel values, k 1 and k 2 are 0.01 and 0.03, respectively, c 3 � c 2 /2, α � β � c � 1, and L(f, g), C(f, g), and S(f, g) represent image brightness, structure, and contrast, respectively.…”
Section: Analysis Of Reconstruction Performance Of Mri Image Super-resolution Algorithm Based On Deep Cnn Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…where L is the peak signal, f is the ideal image, g is the image to be estimated, MSE(f, g) is the mean square error of the image, 2 , and M × N is the size of the image to be estimated. e structural similarity (SSIM) evaluation result is similar to the human senses, which is calculated as follows: (14) where μ f , μ g , σ f , and σ g are the mean values and standard deviations of the ideal image f and the image g to be evaluated, respectively, σ fg is the covariance of f and g, c 1 � (k 1 R) 2 , c 2 � (k 2 R) 2 , R is the range of image pixel values, k 1 and k 2 are 0.01 and 0.03, respectively, c 3 � c 2 /2, α � β � c � 1, and L(f, g), C(f, g), and S(f, g) represent image brightness, structure, and contrast, respectively.…”
Section: Analysis Of Reconstruction Performance Of Mri Image Super-resolution Algorithm Based On Deep Cnn Algorithmmentioning
confidence: 99%
“…Meniscus injuries are often diagnosed by arthroscopy, knee ultrasound, CT, and magnetic resonance imaging (MRI). Arthroscopy is the gold standard for meniscus diagnosis, but it is invasive and increases the probability of infection in patients [2]. e diagnostic accuracy of B-ultrasound for knee joint meniscus injury is not high [3].…”
Section: Introductionmentioning
confidence: 99%
“…e above four examinations are used to comprehensively diagnose the stability of ACL. After ACL injury, X-ray or enhanced computed tomography (CT) examination is often used to evaluate the surgical results, but the effect is not ideal [7][8][9]. Magnetic resonance imaging (MRI) is an indispensable means of examination.…”
Section: Introductionmentioning
confidence: 99%
“…Magnetic resonance imaging (MRI) has high resolution for the soft tissue of the knee joint [7] and has high specificity and sensitivity for the diagnosis of injury sites. More importantly, MRI examination is noninvasive with low radiation [8,9], so MRI is widely used to diagnose meniscus injuries in clinical practice.…”
Section: Introductionmentioning
confidence: 99%