1994
DOI: 10.1007/bf01627667
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The morphology of articular cartilage assessed by magnetic resonance imaging (MRI)

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Cited by 93 publications
(50 citation statements)
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References 39 publications
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“…Loss of cartilage thickness was predicted with 72% sensitivity and 69% specificity; however, sensitivity for cartilage surface integrity was lower and specificity was higher (69% and 74%, respectively). While others have assessed the diagnostic performance of MRI for cartilage lesions using histology [25][26][27][28][29][30], few [9,10,22] have determined the diagnostic performance of FSE sequences with comparison to histology. Our outcomes are comparable to some, but slightly lower than the findings of other investigators in sensitivity and specificity.…”
Section: Discussionmentioning
confidence: 99%
“…Loss of cartilage thickness was predicted with 72% sensitivity and 69% specificity; however, sensitivity for cartilage surface integrity was lower and specificity was higher (69% and 74%, respectively). While others have assessed the diagnostic performance of MRI for cartilage lesions using histology [25][26][27][28][29][30], few [9,10,22] have determined the diagnostic performance of FSE sequences with comparison to histology. Our outcomes are comparable to some, but slightly lower than the findings of other investigators in sensitivity and specificity.…”
Section: Discussionmentioning
confidence: 99%
“…It is an excellent research instrument for articular tissue and there is considerable potential for expansion of the role of MRI in clinical practice. [13][14][15][16] Extensive work by Eckstein et al [17][18][19][20] has shown spoiled 3D gradient echo (FLASH) sequences with water excitation to be particularly useful. However, most articular cartilage imaging work has concentrated on the knee joint, [21][22][23][24][25][26] which displays the thickest articular cartilage layers in the human body.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have performed segmentation using a variety of techniques including: manual segmentation, 18,21,[29][30][31][32] seed point and region growing algorithms, [33][34][35] and edge detection followed by spline-based smoothing, 21 all of which have limitations in noisy images of thin cartilage layers of highly congruent joints. Fully manual surface extraction and segmentation 18,21,[29][30][31][32] is tedious, time consuming, and prone to subjective judgment. Fully automated processes 36,37 at present cannot accurately and reproducibly extract and segment articular cartilage layers in areas where the boundary is not sufficiently distinct or in noisy images.…”
Section: Introductionmentioning
confidence: 99%
“…Studies have shown that MRI is an accurate method of soft tissue and bone dimension measurement and volume assessment, and it has been used to estimate accurate morphological information of different tissues, e.g., bone, muscle, and articular cartilage [19][20][21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%