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ACL Volume Measurement Using a Multi-truncated Pyramid Shape Simulation.

Takanori Iriuchishima¹, Bunsei Goto¹

¹Department of Orthopedic Surgery, Kamimoku Spa Hospital, Minakami, Japan.

Indian Journal of Orthopaedics

|November 27, 2023

Summary

This study measured anterior cruciate ligament (ACL) volume using a novel pyramid simulation on MRI scans. Results show a correlation between ACL volume and knee bony morphology, aiding in injury prediction.

Keywords:

Anatomy Anterior cruciate ligament Anterior cruciate ligament reconstruction Volume

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Area of Science:

Orthopedic surgery
Radiology
Anatomy

Background:

Detailed knowledge of anterior cruciate ligament (ACL) anatomy is crucial for understanding knee biomechanics.
Previous methods for ACL volume measurement may lack simplicity or efficiency.
Magnetic resonance imaging (MRI) provides detailed anatomical visualization of the knee.

Purpose of the Study:

To measure anterior cruciate ligament (ACL) volume using a novel multi-truncated pyramid shape simulation.
To utilize axial magnetic resonance imaging (MRI) for detailed ACL anatomical assessment.
To explore the relationship between ACL volume and knee bony morphology.

Main Methods:

Fifty subjects with knee pain but no structural MRI injury were included.
Axial MRI images were used to measure ACL cross-sectional areas at four levels and ACL height.
ACL volume was calculated using a multi-truncated pyramid simulation; femoral intercondylar notch dimensions and trans-epicondylar length (TEL) were also measured.

Main Results:

The calculated ACL volume was 1755 ± 874 mm³.
Significant correlations were found between ACL volume and femoral intercondylar notch height, area, and TEL.
ACL cross-sectional areas and height were quantified, providing detailed anatomical data.

Conclusions:

The multi-truncated pyramid simulation provides a simple and effective method for measuring ACL volume from axial MRI.
A significant correlation exists between ACL volume and knee bony morphology.
Accurate ACL volume measurement can enhance anatomical knowledge and aid in the prediction and prevention of ACL injuries.