MRI-Based Classification for Tibial Spine Fracture: Detection Efficacy, Classification Accuracy, and Reliability.

Autor:	Almolla RM; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Almalki YE; Division of Radiology, Department of Internal Medicine, Medical College, Najran University, Najran, Kingdom of Saudi Arabia (Y.E.A.)., Basha MAA; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.). Electronic address: Mohammad_basha76@yahoo.com., Mohamed Farag MAE; Department of Radio-diagnosis, Faculty of Human Medicine, Al Azhar University, Cairo, Egypt (M.A.E-A.M.F.)., Metwally MI; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Nada MG; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Libda YI; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Zaitoun MMA; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Abdalla AAEM; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Yousef HY; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Abd Elhamed ME; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Elsheikh AM; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.)., Alduraibi SK; Department of Radiology, College of Medicine, Qassim University, Buraidah, Kingdom of Saudi Arabia (S.K.A., A.S.A.)., Eldib DB; Department of Radio-diagnosis, Faculty of Human Medicine, Benha University, Benha, Egypt (D.B.E., H.M.K.)., Khater HM; Department of Radio-diagnosis, Faculty of Human Medicine, Benha University, Benha, Egypt (D.B.E., H.M.K.)., Mahmoud HF; Department of Orthopedic Surgery and Traumatology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (H.F.M.)., Elkayal ES; Department of Radio-diagnosis, Faculty of Human Medicine, Fayoum University, Fayoum, Egypt (E.S.E.)., Alshehri SHS; Department of Orthopedic Surgery, College of Medicine, King Khalid University, Abha, Kingdom of Saudi Arabia (S.H.S.A.)., Aldhilan AS; Department of Radiology, College of Medicine, Qassim University, Buraidah, Kingdom of Saudi Arabia (S.K.A., A.S.A.)., Basha AMA; Faculty of General Medicine, Tyumen State Medical University, Tyumen, Russian Federation (A.M.A.B.)., Hassan HA; Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt (R.M.A., M.A.A.B., M.I.M., M.G.N., Y.I.L., M.M.A.Z., A.A.E-H.M.A., H.Y.Y., M.E.A.E., A.M.E., H.A.H.).
Jazyk:	angličtina
Zdroj:	Academic radiology [Acad Radiol] 2024 Apr; Vol. 31 (4), pp. 1480-1490. Date of Electronic Publication: 2023 Oct 31.
DOI:	10.1016/j.acra.2023.10.007
Abstrakt:	Rationale and Objectives: Recently, a new MRI-based classification for evaluating tibial spine fractures (TSFs) was developed to aid in treating these injuries. Our objective was to assess the detection efficacy, classification accuracy, and reliability of this classification in detecting and grading TSFs, as well as its impact on treatment strategy, compared to the Meyers and McKeever (MM) classification. Materials and Methods: A retrospective study included 68 patients with arthroscopically confirmed TSFs. All patients had plain radiography and conventional MRI of the affected knee before arthroscopy. Three experienced radiologists independently reviewed all plain radiographs and MRI data and graded each patient according to MM and MRI-based classifications. The detection efficacy, classification accuracy, and inter-rater agreement of both classifications were evaluated and compared, using arthroscopic findings as the gold standard. Results: The final analysis included 68 affected knees. Compared to the MM classification, the MRI-based classification produced 22.0% upgrade of TSFs and 11.8% downgrade of TSFs. According to the reviewers, the fracture classification accuracy of the MRI-based classification (91.2-95.6%) was significantly higher than that of the MM classification (73.5-76.5%, p = 0.002-0.01). The fracture detection rate of MRI-based classification (94.1-98.5%) was non-significantly higher than that of the MM classification (83.8-89.7%, p = 0.07-0.4). The soft tissue injury detection accuracy for MRI-based classification was 91.2-94.1%. The inter-rater reliability for grading TSFs was substantial for both the MM classification (κ = 0.69) and MRI-based classification (κ = 0.79). Conclusion: MRI-based classification demonstrates greater accuracy and reliability compared to MM classification for detecting and grading TSFs and associated soft tissue injuries. Competing Interests: Declaration of Competing Interest The authors of this manuscript declare no relevant conflicts of interest and no relationships with any companies whose products or services may be related to the subject matter of the article. (Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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