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Effect of Oblique Coronal MRI Views in Individualized Bent-Knee Position on the Imaging Findings of Anterior Cruciate Ligament / 中国医学影像学杂志
Chinese Journal of Medical Imaging ; (12): 695-697, 2017.
Article in Chinese | WPRIM | ID: wpr-706389
ABSTRACT
Purpose MRI is one of the most effective methods in examining anterior cruciate ligament (ACL),but probability of misdiagnose and missed diagnosis still might exist.This research aims to investigate the effect of oblique coronal MRI views in individualized bent-knee position on the imaging findings of ACL.Materials and Methods Seventy healthy volunteers recruited by the Third Xiangya Hospital,Central South University from September 2016 to March 2017 were involved in this prospective study.3-T MRI combined with independently designed knee joint dynamic imaging auxiliary instrument was employed to perform a dynamic scan in the sagittal plane;the optimal bentknee angle with ACL basically in straight layers (angle of the individualized bent-knee position) was measured.Afterwards,oblique coronal MRI views (PDWI+FS) in both regular extended-knee position and individualized bent-knee position were conducted.And their separate effects on ACL imaging findings in oblique coronal MRI views were compared.Results Oblique coronal MRI scan in extended-knee position and individualized bent-knee position were 92.9% (65/70) and 45.7% (32/70) respectively in displaying the imaging of the whole ACL.The former outperformed the latter,and the difference was statistically significant (P<0.001).Conclusion In contrast to oblique coronal MRI scan in extended-knee position,the scan in individualized bent-knee position elevates the performance of whole ACL imaging.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Observational study Language: Chinese Journal: Chinese Journal of Medical Imaging Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Observational study Language: Chinese Journal: Chinese Journal of Medical Imaging Year: 2017 Type: Article