Published: 2022-01-29

Magnetic resonance imaging of post traumatic knee: injury pattern analysis in sports activities

Amit Choubey, Rahul Dev Chauhan, Sourabh Kumar


Background: Musculoskeletal injuries of knee are commonly encountered in sportsmen during sports activities. Magnetic resonance imaging (MRI) is the modality of choice for evaluation of traumatic knee injuries and arthroscopic interventions. By knowing the pattern and burden of surgically significant injuries in sportsmen, the artificial intelligence (AI) software may be developed accordingly so that surgically significant injuries may be identified by the young radiologists.

Methods: It was a retrospective study on MRI for knee injuries in sportsmen. The digital data from Radiology department at a zonal level hospital was analysed. The MRI findings were correlated with the arthroscopic records available. For surgically insignificant injuries, the literature was referred for the typical MRI findings of the injuries.

Results: Of 272 cases of MRI knee, 74.3% cases were detected to have acute traumatic injuries. Among various types of injuries found in this study, anterior cruciate ligament (ACL) tear (55.9%) was the commonest injury followed by medial meniscal tear (40%). 40 (19.8%) cases were found to have surgically significant MRI findings which were subsequently corroborated with knee arthroscopy.

Conclusions: Since majority of soft tissue injuries of knee constitute ACL and meniscal tears, the industries involved in developing AI software for soft tissue injuries of knee, should primarily focus on identification of ACL and meniscal injuries. The AI software may also be helpful for the young radiologists in early training days in MRI for knee injuries and may also help in big scale research projects of post traumatic MRI knees.


Sportsmen, Knee injuries, MRI, AI

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Chhabra A and Soldatos T. Musculoskeletal MRI Structured Evaluation. Wolters Kluwers: Philadelphia. 2015.

Gage BE, McIlvain NM, Collins CL, Fields SK, Comstock RD. Epidemiology of 6.6 million knee injuries presenting to United States emergency departments from 1999 through 2008. Acad Emerg Med. 2012;19:378-85.

Gupta K, Sandhu P, Galhotra R, Guleria M. Correlation of clinical, MRI and arthroscopic findings in diagnosing meniscus and ligament injuries at knee joint: A prospective study. J Orthop Allied Sci. 2013;1:2.

Jenny T B, Zehava SR, Robert RB, Alvand H, Elizabeth SLM and Javier B. Traumatic Musculotendinous Injuries of the Knee: Diagnosis with MR Imaging. Radio Graphics. 2000;20:103-20.

Prickett WD, Ward SI, Matava MJ. Magnetic resonance imaging of the knee. Sports Med. 2001;31:997-1019.

Van OK, Swart NM, Bloem JL, Bierma-Zeinstra SM, Algra PR, Koes B et al. Post-traumatic knee MRI findings and associations with patient, trauma, and clinical characteristics: A subgroup analysis in primary care in the Netherlands. Br J Gen Pract. 2017;67:851-8.

Oei EHG, Ginai AZ, Hunink MGM. MRI for traumatic knee injury: A review. Semin Ultrasound CT MRI. 2007;28:141-57.

Kulkarni PG. Arthroscopic evaluation and analysis of 200 patients with knee problems. MJDYPU. 2008;3:45-9.

Mane AA, Kulkarni PG. To Study and Evaluate the MRI and Arthroscopic Findings in Knee Problems with Special Attention towards False Positive and False Negative Reports. J Maharashtra Orthop Asso. 2013;8:17-21.

Madurwar AU, Ramya M, Kumar S, Bhavani. Evaluation of role of MRI in knee joint injuries in correlation with arthroscopy. Int J Res Review. 2017;4:40-6.

Shetty DS, Lakhkar BN, Krishna GK. Magnetic resonance imaging in pathologic conditions of knee. Indian J Radiol Imaging. 2002;12:375-81.

Berquist TH. MRI of the Musculoskeletal System. 6th edn. Lippincott Williams and Wilkins: Philadelphia. 2013.

Rajesh U, Bijpuriya A, Bagale S, Shattari N. Evaluation of traumatic knee joint injuries with MRI. Int J Contemporary Med Surg Radiol. 2018;3:77-81.

Singh JP, Garg L, Shrimali R, Setia V, Gupta V. MR Imaging of knee with Arthroscopic Correlation in Twisting Injuries. Indian J Radiol Imaging. 2004;14:33-40.