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Tytuł:
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The accuracy of MRI in diagnosing and classifying acute traumatic multiple ligament knee injuries.
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Autorzy:
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Li X; Department of Spinal Orthopaedics, General Hospital of Ningxia Medical University, No. of 804, Shengli Street, Yinchuan, 750004, China.
Hou Q; Department of Spinal Orthopaedics, General Hospital of Ningxia Medical University, No. of 804, Shengli Street, Yinchuan, 750004, China.
Zhan X; Department of Spinal Orthopaedics, General Hospital of Ningxia Medical University, No. of 804, Shengli Street, Yinchuan, 750004, China.
Chang L; Department of Spinal Orthopaedics, General Hospital of Ningxia Medical University, No. of 804, Shengli Street, Yinchuan, 750004, China.
Ma X; Department of Radiology, General Hospital of Ningxia Medical University, No. of 804, Shengli Street, Yinchuan, 750004, China.
Yuan H; Department of Spinal Orthopaedics, General Hospital of Ningxia Medical University, No. of 804, Shengli Street, Yinchuan, 750004, China. .
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Źródło:
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BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2022 Jan 13; Vol. 23 (1), pp. 43. Date of Electronic Publication: 2022 Jan 13.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: London : BioMed Central, [2000-
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MeSH Terms:
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Anterior Cruciate Ligament Injuries*/diagnostic imaging
Anterior Cruciate Ligament Injuries*/surgery
Knee Injuries*/diagnostic imaging
Knee Injuries*/surgery
Posterior Cruciate Ligament*/diagnostic imaging
Posterior Cruciate Ligament*/surgery
Humans ; Magnetic Resonance Imaging ; Retrospective Studies
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References:
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Clin J Sport Med. 2000 Jan;10(1):34-9. (PMID: 10695848)
J Bone Joint Surg Br. 1996 Jul;78(4):573-9. (PMID: 8682823)
Knee Surg Sports Traumatol Arthrosc. 2018 Dec;26(12):3731-3737. (PMID: 29872868)
Neurosurg Focus. 2015 Sep;39(3):E8. (PMID: 26323826)
Knee. 2014 Jan;21(1):54-7. (PMID: 23707632)
BMC Musculoskelet Disord. 2016 Jan 22;17:41. (PMID: 26801911)
Knee Surg Sports Traumatol Arthrosc. 2017 Feb;25(2):517-523. (PMID: 26572629)
J Comput Assist Tomogr. 2003 Sep-Oct;27(5):814-9. (PMID: 14501376)
BMC Musculoskelet Disord. 2010 May 27;11:102. (PMID: 20507623)
J Med Life. 2018 Oct-Dec;11(4):281-285. (PMID: 30894883)
Int Orthop. 2009 Dec;33(6):1733-8. (PMID: 19050885)
Am J Sports Med. 2011 Oct;39(10):2170-4. (PMID: 21757779)
Orthop Clin North Am. 2015 Oct;46(4):479-93. (PMID: 26410637)
Phys Sportsmed. 2010 Dec;38(4):101-11. (PMID: 21150149)
BMC Musculoskelet Disord. 2005 Feb 20;6:10. (PMID: 15720725)
J Orthop Trauma. 2000 Mar-Apr;14(3):183-6. (PMID: 10791669)
Orthop Traumatol Surg Res. 2013 May;99(3):305-11. (PMID: 23477793)
J Bone Joint Surg Am. 2020 Aug 19;102(16):1454-1463. (PMID: 32816418)
Am J Sports Med. 2019 Sep;47(11):2563-2571. (PMID: 31381372)
Clin Sports Med. 2019 Apr;38(2):193-198. (PMID: 30878043)
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Contributed Indexing:
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Keywords: Knee dislocations; MRI; Multiple ligaments injuries; Value
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Entry Date(s):
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Date Created: 20220114 Date Completed: 20220117 Latest Revision: 20220119
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Update Code:
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20240104
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PubMed Central ID:
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PMC8756613
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DOI:
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10.1186/s12891-021-04976-1
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PMID:
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35027036
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Background: Magnetic resonance imaging (MRI) is widely used for the evaluation of knee injuries, however, the accuracy of MRI in classifying multiple ligament knee injuries (MLKIs) remains unknown. This study aimed to investigate the accuracy of MRI in diagnosing and classifying acute traumatic MLKIs, we hypothesize that MRI had high accuracy in detecting and classifying MLKIs.
Methods: The clinical data of 97 patients who were diagnosed with acute traumatic MLKIs and managed by multi-ligament reconstruction between 2012 and 2020 were retrospectively reviewed. The MR images were read by two experienced radiologists and results were compared with intraoperative findings, which were considered as the reference for the identification of injured structures. The value of MRI in detecting injuries of anterior cruciate ligament (ACL), posterior cruciate ligament (PCL), medial collateral ligament (MCL), lateral collateral ligament (LCL), and meniscus was evaluated by calculating the sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and kappa coefficients analysis. The value of MRI in classifying MLKIs was evaluated by calculating the agreement between MRI and intraoperative findings.
Results: For detecting the specific injured structures in MLKIs, MRI had high sensitivity (90.7% for ACL, 90.4% for PCL, and moderate specificity (63.6% for ACL, 50% for PCL) in detecting cruciate ligament injuries, moderate sensitivity (79.1% for MCL, 55.6% for LCL) and specificity (46.7% for MCL, 68.4% for LCL) in detecting collateral ligament injuries, fair sensitivity (61.5%) and low specificity (39.4%) in the diagnosis of injuries to the meniscus. For classifying the MIKIs, MRI had a moderate agreement with intraoperative findings in classifying KD-V (kappa value = 0.57), poor agreement in the KD-I (kappa value = 0.39) and KD-IIIM (kappa value = 0.31), meaningless in the KD-II and KD-IIIL (kappa value < 0). The overall agreement between MRI and intraoperative findings in classifying MLKIs was poor (kappa value = 0.23).
Conclusions: MRI is valuable in early detection and diagnosis of acute MLKIs, however, the accuracy of MRI in classifying MLKIs is limited. The management of MLKIs should be based on intraoperative findings, physical examinations, and comprehensive imaging results.
(© 2022. The Author(s).)
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