Literature DB >> 27643766

Imaging of Athletic Injuries of Knee Ligaments and Menisci: Sports Imaging Series.

Ali M Naraghi1, Lawrence M White1.   

Abstract

Acute knee injuries are a common source of morbidity in athletes and if overlooked may result in chronic functional impairment. Magnetic resonance (MR) imaging of the knee has become the most commonly performed musculoskeletal MR examination and is an indispensable tool in the appropriate management of the injured athlete. Meniscal and ligamentous tearing are the most frequent indications for surgical intervention in sports injuries and an understanding of the anatomy, biomechanics, mechanisms of injury, and patterns of injury are all critical to accurate diagnosis and appropriate management. These will be discussed in reference to meniscal tears and injuries of the cruciate ligaments as well as injuries of the posterolateral and posteromedial corners of the knee. (©) RSNA, 2016.

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Year:  2016        PMID: 27643766     DOI: 10.1148/radiol.2016152320

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

1.  Varus stress MRI in the refined assessment of the posterolateral corner of the knee joint.

Authors:  Malin Ciba; Eva-Maria Winkelmeyer; Justus Schock; Simon Westfechtel; Teresa Nolte; Matthias Knobe; Andreas Prescher; Christiane Kuhl; Daniel Truhn; Sven Nebelung
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

2.  Knee cartilage damage and concomitant internal derangement on MRI in athletes competing at the Rio de Janeiro 2016 Summer Olympics.

Authors:  Zohaib Ahmad; Akira M Murakami; Lars Engebretsen; Mohamed Jarraya; Frank W Roemer; Ali Guermazi; Andrew J Kompel
Journal:  Eur J Radiol Open       Date:  2020-09-11

Review 3.  Applications of PET-MRI in musculoskeletal disease.

Authors:  Feliks Kogan; Stephen M Broski; Daehyun Yoon; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2018-07       Impact factor: 4.813

4.  Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach.

Authors:  Mazhar Javed Awan; Mohd Shafry Mohd Rahim; Naomie Salim; Mazin Abed Mohammed; Begonya Garcia-Zapirain; Karrar Hameed Abdulkareem
Journal:  Diagnostics (Basel)       Date:  2021-01-11

5.  Feasibility of Constructing an Automatic Meniscus Injury Detection Model Based on Dual-Mode Magnetic Resonance Imaging (MRI) Radiomics of the Knee Joint.

Authors:  Yi Wang; Yuanzhe Li; Meiling Huang; Qingquan Lai; Jing Huang; Jiayang Chen
Journal:  Comput Math Methods Med       Date:  2022-03-29       Impact factor: 2.238

6.  Cartilage and Muscle Cell Fate and Origins during Lizard Tail Regeneration.

Authors:  Ricardo Londono; Wei Wenzhong; Bing Wang; Rocky S Tuan; Thomas P Lozito
Journal:  Front Bioeng Biotechnol       Date:  2017-11-02

7.  Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

Authors:  Nicholas Bien; Pranav Rajpurkar; Robyn L Ball; Jeremy Irvin; Allison Park; Erik Jones; Michael Bereket; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Safwan Halabi; Evan Zucker; Gary Fanton; Derek F Amanatullah; Christopher F Beaulieu; Geoffrey M Riley; Russell J Stewart; Francis G Blankenberg; David B Larson; Ricky H Jones; Curtis P Langlotz; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-27       Impact factor: 11.069

  7 in total

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