THE CLINICAL IMPORTANCE OF MENISCAL TEARS DEMONSTRATED BY MAGNETIC RESONANCE IMAGING IN OSTEOARTHRITIS OF THE KNEE☆

2003 ◽  
Vol 85 (1) ◽  
pp. 4-9 ◽  
Author(s):  
TIMOTHY BHATTACHARYYA ◽  
DANIEL GALE ◽  
PETER DEWIRE ◽  
SAARA TOTTERMAN ◽  
M. ELON GALE ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Clinical Importance ◽  
Osteoarthritis Of The Knee ◽  
Meniscal Tears ◽  
Resonance Imaging

Evaluation of Recurring Meniscal Tears with Gadolinium-Enhanced Magnetic Resonance Imaging

2003 ◽  
Vol 31 (6) ◽  
pp. 868-873 ◽  
Author(s):  
Michael J. Vives ◽  
David Homesley ◽  
Michael G. Ciccotti ◽  
Mark E. Schweitzer
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Meniscal Tears ◽  
Resonance Imaging

Magnetic Resonance Imaging for Meniscal Tears of the Knee

1988 ◽  
Vol 16 (8) ◽  
pp. 95-98
Author(s):  
Jerry W. Froelich ◽  
Allan M. Haggar ◽  
Conrad E. Nagle
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Meniscal Tears ◽  
Resonance Imaging

scholarly journals The Use of Artificial Intelligence in the Evaluation of Knee Pathology

2020 ◽  
Vol 24 (01) ◽  
pp. 021-029 ◽  
Author(s):  
Elisabeth R. Garwood ◽  
Ryan Tai ◽  
Ganesh Joshi ◽  
George J. Watts V
Keyword(s):  
Magnetic Resonance Imaging ◽  
Artificial Intelligence ◽  
Magnetic Resonance ◽  
Knee Osteoarthritis ◽  
Bone Tumors ◽  
Quantitative Assessment ◽  
Tendon Healing ◽  
Meniscal Tears ◽  
Resonance Imaging ◽  
Knee Pathology

AbstractArtificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We have only just begun to explore AI applications in the diagnostic evaluation of knee pathology. Experimental algorithms have already been developed that can assess the severity of knee osteoarthritis from radiographs, detect and classify cartilage lesions, meniscal tears, and ligament tears on magnetic resonance imaging, provide automatic quantitative assessment of tendon healing, detect fractures on radiographs, and predict those at highest risk for recurrent bone tumors. This article reviews and summarizes the most current literature.

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