Literature DB >> 28211591

Magnetic resonance imaging of the knee: An overview and update of conventional and state of the art imaging.

Nicholas C Nacey1, Matthew G Geeslin1, Grady Wilson Miller1, Jennifer L Pierce1.   

Abstract

Magnetic resonance imaging (MRI) has become the preferred modality for imaging the knee to show pathology and guide patient management and treatment. The knee is one of the most frequently injured joints, and knee pain is a pervasive difficulty that can affect all age groups. Due to the diverse pathology, complex anatomy, and a myriad of injury mechanisms of the knee, the MRI knee protocol and sequences should ensure detection of both soft tissue and osseous structures in detail and with accuracy. The knowledge of knee anatomy and the normal or injured MRI appearance of these key structures are critical for precise diagnosis. Advances in MRI technology provide the imaging necessary to obtain high-resolution images to evaluate menisci, ligaments, and tendons. Furthermore, recent advances in MRI techniques allow for improved imaging in the postoperative knee and metal artifact reduction, tumor imaging, cartilage evaluation, and visualization of nerves. As treatment and operative management techniques evolve, understanding the correct application of these advancements in MRI of the knee will prove to be valuable to clinical practice. LEVEL OF EVIDENCE: 5 J. MAGN. RESON. IMAGING 2017;45:1257-1275.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; cartilage; cruciates; knee; menisci

Mesh:

Year:  2017        PMID: 28211591     DOI: 10.1002/jmri.25620

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  10 in total

1.  Increased signal in the proximal patellar tendon: normal or pathologic?

Authors:  Elizabeth S Levin; Benjamin Plotkin; Benjamin D Levine; Kambiz Motamedi; Lyndsey Burton; Leanne L Seeger
Journal:  Skeletal Radiol       Date:  2019-03-21       Impact factor: 2.199

2.  Automatic detection of attachment sites for knee ligaments and tendons on CT images.

Authors:  Alexandra Yurova; Victoria Salamatova; Alexey Lychagin; Yuri Vassilevski
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-11-13       Impact factor: 2.924

3.  A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?

Authors:  Laura M Fayad; Vishwa S Parekh; Rodrigo de Castro Luna; Charles C Ko; Dharmesh Tank; Jan Fritz; Shivani Ahlawat; Michael A Jacobs
Journal:  Invest Radiol       Date:  2021-06-01       Impact factor: 10.065

Review 4.  MRI analysis and clinical significance of lower extremity muscle cross-sectional area after spinal cord injury.

Authors:  Robert M Lester; Kori Johnson; Refka E Khalil; Rehan Khan; Ashraf S Gorgey
Journal:  Neural Regen Res       Date:  2017-05       Impact factor: 5.135

5.  Accuracy measures of 1.5-tesla MRI for the diagnosis of ACL, meniscus and articular knee cartilage damage and characteristics of false negative lesions: a level III prognostic study.

Authors:  Jonathan E J Koch; Ron Ben-Elyahu; Basel Khateeb; Michael Ringart; Meir Nyska; Nissim Ohana; Gideon Mann; Iftach Hetsroni
Journal:  BMC Musculoskelet Disord       Date:  2021-01-29       Impact factor: 2.362

Review 6.  Unnecessary magnetic resonance imaging of the knee: How much is it really costing the NHS?

Authors:  Muhammad Murtaza Khan; Bethan Pincher; Ricardo Pacheco
Journal:  Ann Med Surg (Lond)       Date:  2021-08-28

7.  Periodical assessment of four horns of knee meniscus using MR T2 mapping imaging in volunteers before and after amateur marathons.

Authors:  Xuesong Zhang; Jujia Li; Congcong Ren; Ping Zhang; Yan Zeng; Ranxu Zhang; Ming Wang; Xiaoyue Zhou; Jian Zhao
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

8.  Ex vivo comparison of 3 Tesla magnetic resonance imaging and multidetector computed tomography arthrography to identify artificial soft tissue lesions in equine stifles.

Authors:  Anton D Aßmann; Stefanie Ohlerth; José Suárez Sánchez-Andráde; Paul R Torgerson; Andrea S Bischofberger
Journal:  Vet Surg       Date:  2022-03-15       Impact factor: 1.618

9.  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

10.  Clinical practice and postoperative rehabilitation after knee arthroscopy vary according to surgeons' expertise: a survey among polish arthroscopy society members.

Authors:  Paweł Bąkowski; Kamilla Bąkowska-Żywicka; Tomasz Piontek
Journal:  BMC Musculoskelet Disord       Date:  2020-09-23       Impact factor: 2.362

  10 in total

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