Can height and weight of the patient predict the tibial footprint dimensions of anterior cruciate ligament on MRI: an observational study

Background: Anterior cruciate ligament (ACL) reconstruction techniques are increasingly individualized based on patient-specific anatomy. Preoperative knowledge of ACL dimensions guides surgical planning, particularly regarding single versus double-bundle reconstruction. This study aimed to evaluate ACL tibial footprint dimensions in a South Indian population and investigate their correlation with patient anthropometric measures. Methods: This retrospective observational study analyzed MRI scans of 78 patients (41 males, 37 females) with intact ACL who presented with knee pain at a tertiary care teaching hospital in South India between January 2023 and April 2025. ACL tibial footprint length and width were measured on MRI. Correlation and regression analyses were performed to investigate relationships between ACL dimensions and patient height, weight, age and gender. Results: The mean ACL tibial footprint length and width were 13.7±1.8 mm and 11.5±1.4 mm, respectively. Height demonstrated a strong positive correlation with ACL length (r=0.68, p<0.001) and a moderate correlation with ACL width (r=0.52, p<0.001). In multivariable analysis, height remained the strongest independent predictor of ACL length (standardized β=0.53, p<0.001), while weight (β=0.04, p=0.687) and age (β=0.03, p=0.749) showed no significant independent association. For every 1 cm increase in height, ACL length increased by 0.182 mm (95% CI: 0.140-0.224). Gender differences in ACL dimensions were significant but partially attributable to height differences. Overall, 60.3% of participants had ACL length <14 mm, with a significantly higher proportion among females (83.8%) compared to males (39.0%). Conclusions: Height is a strong predictor of ACL tibial footprint dimensions in South Indian patients, explaining 46% of the variability in ACL footprint length. Patient height could serve as a simple clinical predictor of ACL footprint dimensions when advanced imaging is not readily available, potentially guiding surgical decision-making regarding reconstruction technique.

Authors

Institutions

Publication Details

Journal
International Journal of Research in Orthopaedics
Published
2025-08-25
DOI
https://doi.org/10.18203/issn.2455-4510.intjresorthop20252650
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Can height and weight of the patient predict the tibial footprint dimensions of anterior cruciate ligament on MRI: an observational study

Mahendranath, Sujatha K Janardhan, Rajive Kumar, P. Ganesan et al.
International Journal of Research in Orthopaedics
Knee injuries and reconstruction techniques
article

Can height and weight of the patient predict the tibial footprint dimensions of anterior cruciate ligament on MRI: an observational study

Mahendranath, Sujatha K Janardhan, Rajive Kumar, P. Ganesan, Ningaraj Dyapur, Bangalore Venkataswamy Panduranga
article en

Abstract

Background: Anterior cruciate ligament (ACL) reconstruction techniques are increasingly individualized based on patient-specific anatomy. Preoperative knowledge of ACL dimensions guides surgical planning, particularly regarding single versus double-bundle reconstruction. This study aimed to evaluate ACL tibial footprint dimensions in a South Indian population and investigate their correlation with patient anthropometric measures. Methods: This retrospective observational study analyzed MRI scans of 78 patients (41 males, 37 females) with intact ACL who presented with knee pain at a tertiary care teaching hospital in South India between January 2023 and April 2025. ACL tibial footprint length and width were measured on MRI. Correlation and regression analyses were performed to investigate relationships between ACL dimensions and patient height, weight, age and gender. Results: The mean ACL tibial footprint length and width were 13.7±1.8 mm and 11.5±1.4 mm, respectively. Height demonstrated a strong positive correlation with ACL length (r=0.68, p<0.001) and a moderate correlation with ACL width (r=0.52, p<0.001). In multivariable analysis, height remained the strongest independent predictor of ACL length (standardized β=0.53, p<0.001), while weight (β=0.04, p=0.687) and age (β=0.03, p=0.749) showed no significant independent association. For every 1 cm increase in height, ACL length increased by 0.182 mm (95% CI: 0.140-0.224). Gender differences in ACL dimensions were significant but partially attributable to height differences. Overall, 60.3% of participants had ACL length <14 mm, with a significantly higher proportion among females (83.8%) compared to males (39.0%). Conclusions: Height is a strong predictor of ACL tibial footprint dimensions in South Indian patients, explaining 46% of the variability in ACL footprint length. Patient height could serve as a simple clinical predictor of ACL footprint dimensions when advanced imaging is not readily available, potentially guiding surgical decision-making regarding reconstruction technique.

International Journal of Research in OrthopaedicsVol. 11(5)
University of Ibadan (NG), Institute of Medical Sciences (IN)
Openalex Percentile: Top 64%
Knee injuries and reconstruction techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.