Role of MRI Sequences in Traumatic Knee Injuries

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Nisha Dagar , Monu Sarin, Bhrigu Kumar Das, Rahul Gangwar, Himani Naudiyal

Abstract

Background: - MRI is a non-invasive medical imaging method used to diagnose severe knee injuries. T1-weighted, T2-weighted, and proton density-weighted MRI sequences provide distinct sorts of information regarding knee structures such as bones, cartilage, ligaments, and tendons. T1 pictures indicate anatomical structures, but T2 imaging detects water content, inflammation, and edema. Images with proton density weighting are sensitive to both fluid and cartilage. The use of several MRI sequences allows for a more thorough evaluation of knee injuries and can aid in the selection of appropriate treatment techniques.


Objective: - To study the role of different sequences in traumatic knee injuries & to compare them.


Materials and methods: - This study aimed to investigate the role of different MRI sequences now evaluating traumatic knee injuries. A total of 50 individuals with knee injuries were enrolled and had MRI scans performed in various sequences. The photos were analyzed and compared to establish the most effective sequences for recognizing specific injuries.


Result: - A combination of MRI sequences such as PD, T1W, T2W, and STIR can thoroughly assess traumatic knee injuries. Each sequence has its distinct strengths and can aid in the detection of various types of injuries. However, the PD sequence is a good balance between T1W & T2W as PD images are sensitive to both fluid and fat making them useful for detecting bone marrow edema and useful for detecting ligament & meniscal injuries.


Conclusion: -In conclusion, using MRI sequences, particularly the PD sequence, is critical in properly identifying and managing severe knee injuries.The PD sequence, on the other hand, stands out because it creates a balance between T1W and T2W imaging. Because PD pictures detect both fluid and fat, they are useful for diagnosing bone marrow edoema, ligament injuries, and meniscal tears. This sequencing can detect small anomalies that would otherwise go undetected, boosting diagnostic accuracy and guiding treatment decisions.

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