Muhammet Zeki Gültekin1, Yaşar Mahsut Dinçel2, Zeynep Keskin3, Serdar Arslan4, Ahmet Yıldırım5

1Department of Orthopedics and Traumatology, Konya City Hospital, Konya, Türkiye
2Department of Orthopedics and Traumatology, Namık Kemal University, Faculty of Medicine, Tekirdağ, Türkiye
3Department of Radiology, Konya City Hospital, Konya, Türkiye
4Department of Physiotherapy and Rehabilitation, Necmettin Erbakan University, Faculty of Nezahat Keleşoğlu Health Sciences, Konya, Türkiye
5Department of Orthopedics and Traumatology, Medova Private Hospital, Konya, Türkiye

Keywords: Anatomical risk factors; anterior cruciate ligament; knee injury; knee morphology, magnetic resonance imaging.

Abstract

Objectives: This study aims to compare the morphometric differences between patients with and without an anterior cruciate ligament (ACL) injury and to investigate the anatomical risk factors associated with ACL injury.

Patients and methods: Between February 2020 and February 2022, a total of 100 patients (57 males, 43 females; mean age: 36.2±6.8 years; range, 18 to 45 years) who were operated for isolated non-contact ACL tear as the patient group and a total of 100 healthy individuals (58 males, 42 females; mean age: 35.0±6.9 years; range, 18 to 45 years) without an ACL tear as the control group were included. Magnetic resonance imaging scans of the knee joint were included in the study. Morphological variables of the ACL, distal femur, proximal tibia, and menisci were measured.

Results: The mean ACL inclination angle and medial meniscus bone angle were 37.7±3.8 and 20.2±2.9 in the patient group and 48.1±3.3 and 25.0±2.9 in the control group. According to the results of multivariate analysis, those with small ACL inclination angle and medial meniscus bone angle were more likely to have ACL tear (odds ratio: 0.128, intraclass correlation coefficient: 0.038-0.430, p=0.001).

Conclusion: Small ACL inclination angle and medial meniscus bone angle can be a risk factor for ACL tear.

Introduction

Anterior cruciate ligament (ACL) injury is a common injury, particularly in young active individuals, with an increasing incidence.[1] Individuals undergoing ACL reconstruction can return to their former activity level only in the long term and with great effort.[2] Although the rate of return to sports after ACL reconstruction seems to be high, particularly sports requiring pivot movement, patterns increase the risk of graft and contralateral ACL rupture in individuals undergoing ACL reconstruction, while the risk of osteoarthritis in the long term is high in these individuals.[3,4] Preventive measures should be focused on before the development of ACL injury.[5]

The results from a recent research have shown that several intrinsic and extrinsic factors are responsible for ACL injuries.[6] Morphometric features such as the tibial slope,[7,8] notch width (NW),[9] notch shape,[10] NW index (NWI),[11] and the tibial tubercletrochlear groove (TT-TG) distance[12] have been studied individually to identify whether they are predisposing factors in ACL injury. Although there is evidence that some morphometric features such as a decreased intercondylar NW may cause ACL injury, a clear link between ACL injury risk and the morphometric parameters of the knee has not been fully established, yet.[13] To date, the majority of studies have focused on the relationship between a single morphometric feature and ACL injury. However, it has been reported that not a single, but numerous morphometric features contribute to the ACL injury mechanism and that further studies are warranted.[14] Thus, recent studies have focused on more than one morphometric feature and reported that the TT-TG distance, medial posterior slope, NW, and NWI are associated with ACL injuries.[15,16]

Since it is not fully known which morphometric features play a role together, the current study was designed to investigate the role of these features in ACL injury and contribute to the literature regarding this subject. In the present study, we, therefore, aimed to measure the morphological parameters and identify the potential morphological risk factors associated with ACL injury, to compare the morphological differences between individuals with and without ACL injury, and to discuss the anatomical risk factors using magnetic resonance imaging (MRI).

Patients and Methods

This single-center, retrospective, case-control study was conducted at Konya City Hospital, Department of Radiology between February 2020 and February 2022. The study groups were selected from patients aged between 20 and 40 years who were operated for isolated non-contact ACL tear (patient group) and healthy individuals without an ACL tear (control group). The sample size was selected from a group of 400 controls and 100 cases using the propensity score matching method to include 100 homogeneous participants in each group. The homogeneity of the age, sex, body mass index (BMI), and side variables was ensured also with propensity score matching. Patients with previous knee surgeries, previous knee fractures in or around the knee, rheumatologic diseases, previous infections in the knee joint, knee pathologies affecting the intraknee structures (such as osteoarthritis), and patients with multiple ligament injuries in the knee were excluded from the study. Finally, the patient group included a total of 100 patients (57 males, 43 females; mean age: 36.2±6.8 years; range, 18 to 45 years) and the control group included a total of 100 healthy individuals (58 males, 42 females; mean age: 35.0±6.9 years; range, 18 to 45 years).

A musculoskeletal radiologist with more than 10 years of experience in sports surgery examined the MRI scans of the patients, and the morphological parameters were measured using the standard techniques previously described in the literature.[17-25] The physician who performed the measurements was blinded to the patient records. All measurements were made once by a single physician. Whether the ACL was intact in both the control group and the patient group was determined by MRI scans, and no arthroscopic confirmation was performed. Uninjured contralateral knee MRI were used for measurement in the patient group. Knee MRI, in which the control group had no complaints, were used for measurements.

All MRIs were taken with a 1.5-T scanner (MAGNETOM Symphony; Siemens AG, Erlangen, Germany) with a 3-mm section thickness. Individual radiological measurements were performed virtually using the INFINITT PACS System (INFINITT Healthcare Co., Seoul, South Korea) with an accuracy of 0.1 mm for linear measurements and 0.1° for angular measurements.

In all patients, the following values were measured using the standard measurement techniques in the literature: ACL length (ACLL),[17] ACL width (ACLW),[18] ACL inclination angle (ACLIA),[19] InsallSalvati index (ISI),[20] Blumensaat angle (BA), anterior tibial translation (ATT),[21] medial tibia plateau slope (MTPS), lateral tibia plateau slope (LTPS),[22] medial femoral condylar width (MFCW), lateral femoral condylar width (LFCW), medial femoral condylar depth (MFCD), lateral femoral condylar depth (LFCD), NWI, distal femoral width (DFW),[23] intercondylar femoral width (IFW),[24] medial meniscus bone angle (MMBA), and lateral meniscus bone angle (LMBA).[25] We divided the BMI groups into two to include the patients with a BMI of <30 kg/m2 and a BMI of ≥30 kg/m2 and the age groups into two to include the patients who were in their third decade and fourth decade of life (Figures 1-5). All measurements were performed by a musculoskeletal radiologist with more than 10 years of experience using the following standard measurement techniques.





Statistical analysis

Statistical analysis was performed using the IBM SPSS version 28.0 software (IBM Corp., Armonk, NY, USA). Descriptive data were expressed in mean ± standard deviation (SD), median (min-max) or number and frequency, where applicable. The normality of the variables was checked using the KolmogorovSmirnov test. The Mann-Whitney U test was used for the comparison of the quantitative data, while the chi-square test was used for the comparison of the qualitative data. Univariate and multivariate logistic regression analyses and receiver operating characteristic (ROC) curves were used to show the effect level. A p value of <0.05 was considered statistically significant.

Results

The patient and the control group were homogeneous in terms of demographic characteristics (p>0.05, Table I).

The patients with an ACL tear had significantly higher ACLW, BA, ATT, LTPS, MFCW, LFCW, MFCD, LFCD, DFW, and IFW values than the control group, but significantly lower ACLL, ACLIA, NWI, MMBA, and LMBA values (p<0.05). The ISI and MTPS did not significantly differ between the two groups (Table II).

The results of the univariate model confirmed the significant effect of the ACLL, ACLW, ACLIA, ATT, LTPS, MFCW, LFCW, MFCD, LFCD, NWI, DFW, IFW, MMBA, and LMBA values in the differentiation of the patients with and without an ACL tear (p<0.05) (Table III).

The multivariate regression model confirmed the significant independent effect of the ACLIA and MMBA values in the differentiation of the patients with and without an ACL tear (p<0.05) (Table III).

In addition, BA, ACLIA, LMBA, ACLW, MMBA, ATT, MFCD, MFCW, IFW, LTPS, LFCD, NWI, LFCW, DFW, and ACLL could predict ACL injury. The ISI and MTPS values did not have a significant prediction power in the differentiation of patients with and without an ACL injury. Table III shows the predictive levels of measured parameters from highest to lowest (Table IV).

Discussion

The present study revealed the relationship between ACL injury and morphometric features of the knee. According to the univariate model, a smaller ACLL, ACLIA, MMBA, and LMBA and a greater ACLW, ATT, LTPS, MFCW, LFCW, MFCD, LFCD, NWI, DFW, and IFW were associated with an ACL injury. On the other hand, the results of the multivariate analysis indicated that smaller ACLIA and MMBA values were independent risk factors for ACL injury.

Several studies have shown that morphometric features of the knee may predispose to ACL injury.[7-16] Recent findings have indicated that the combination of morphometric features may be utilized in further elucidating the mechanism of ACL injury.[26] Bayer et al.[27] reported that intercondylar notch stenosis, sagittal condylar shape variations, increased tibial slope, decreased tibial eminence size, poor tibiofemoral alignment, and decreased ACL size were the risk factors for ACL injury. In a study investigating the structural predisposition for ACL injuries, Kızılgöz et al.[16] showed that NW, NWI, and medial tibial slope (MTS) were the risk factors for ACL injuries. Since our study differs from other studies in terms of design, our results are also different. The study closest in design to our study is that of Shen et al.[15] in which the authors reported the multiple variance analysis of the variables that might be anatomical risk factors for ACL injury in active individuals. The aforementioned authors reported that increased TT-TG distance, increased MTS, and decreased NWI could be independent risk factors for ACL injury in active individuals, although they provided no information about ACLL, ACLW, ACLIA, and meniscus bone angle measurements. In the current study, ACLIA and MMBA were found to be morphometric variables associated with an ACL injury.

Hudek et al.[28] reported that meniscus morphology was associated with ACL injuries, showing that the angle between the horizontal plane and the line passing through the tips of the anterior and posterior horns was associated with ACL injuries. However, the number of studies investigating the relationship between the meniscal bone angle and ACL injuries is limited. These studies mostly focus on LMBA, reporting that this morphometric feature may be a factor in ACL injuries.[26,29] On the other hand, the results of studies investigating MMBA suggest that there is no relationship between MMBA and ACL injury.[27] Contrary to the literature, our results indicate that small MMBA is a risk factor for ACL injury.

The angular relationship of the ACL with the femur and the tibia is particularly important in the anatomical placement of the graft during reconstruction and has been a subject of research on surgical techniques.[20] A limited number of studies have investigated the relationship between the angulation of the ACL with respect to the femur and the tibia and ACL injuries.[16,29] Sauer et al.[29] reported that individuals with ACL injury had a high beta angle, while the alpha angle has not been found a predisposing factor for ACL injury.[16] However, to the best of our knowledge, there is only one prospective study investigating whether ACLIA is a risk factor for ACL injuries, in which Adhikari et al.[30] found ACLIA and BA to be sensitive and specific for ACL injury. Our results suggest that one of the main risk factors for ACL injury can be small ACLIA.

Nonetheless, this study has some limitations. First, it did not confirm ACL rupture by arthroscopy in the patient group, which may have resulted in the acceptance of intact ACLs as ruptures. The second is the fact that the measurements were made by a single musculoskeletal radiologist, which may have caused the inter-observer and intra-observer bias. Another limitation is that the variables associated with ACL inclination were performed on sagittal images. However, variables associated with ACL inclination can be evaluated by measuring on both sagittal and coronal MRI sequences. This may have caused measurement errors. In addition, other intrinsic and extrinsic factors such as the activity level that are risk factors for ACL rupture could not be measured and included in the analysis. However, the effect of other intrinsic and extrinsic risk factors may limit the effectiveness of morphometric variables, which were observed to be effective in differentiating ACL injury from healthy knees as a result of the study.

In conclusion, our study results demonstrate that small ACLIA and MMBA can be considered independent factors for ACL injury in active individuals. This information can be useful in identifying individuals who may suffer an ACL injury. In addition, the consideration of ACLIA as a risk factor and the preparation of the tunnel accordingly for graft placement during reconstruction may prevent graft rupture.

Citation: Gültekin MZ, Dinçel YM, Keskin Z, Arslan S, Yıldırım A. Morphometric risk factors effects on anterior cruciate ligament injury. Jt Dis Relat Surg 2023;34(1):130-137. doi: 10.52312/ jdrs.2023.910

Ethics Committee Approval

The study protocol was approved by the Necmettin Erbakan University Ethics Committee (date: 04.02.2022, no: 2022/3643). The study was conducted in accordance with the principles of the Declaration of Helsinki.

Author Contributions

Idea/consept: M.Z.G., Y.M.D.; Design: A.Y., M.Z.G., S.A.; Data collection and/processing: M.Z.G, Z.Y.; Analysis and/or interpretation; A.Y., M.Z.G., S.A., Y.M.D.; References and fundings: M.Z.G., Y.M.D., Z.Y.; Control/supervision: A.Y., Z.Y., Y.M.D.; Literatur review: S.A., M.Z.G., Y.M.D.; Writing the article: S.A., M.Z.G.; Critical review, materials: A.Y., M.Z.G., S.A., Y.M.D., Z.Y.

Conflict of Interest

The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

Financial Disclosure

The authors received no financial support for the research and/or authorship of this article.

References

  1. Hatipoğlu MY, Bircan R, Özer H, Selek HY, Harput G, Baltacı YG. Radiographic assessment of bone tunnels after anterior cruciate ligament reconstruction: A comparison of hamstring tendon and bone-patellar tendon-bone autografting technique. Jt Dis Relat Surg 2021;32:122-8. doi: 10.5606/ehc.2021.75694.
  2. Nawasreh Z, Logerstedt D, Cummer K, Axe M, Risberg MA, Snyder-Mackler L. Functional performance 6 months after ACL reconstruction can predict return to participation in the same preinjury activity level 12 and 24 months after surgery. Br J Sports Med 2018;52:375. doi: 10.1136/bjsports-2016-097095.
  3. Atik OŞ. What is the optimal time for return to sports after anterior cruciate ligament reconstruction? Jt Dis Relat Surg 2020;31:1. doi: 10.5606/ehc.2020.57891.
  4. Lindanger L, Strand T, Mølster AO, Solheim E, Inderhaug E. Return to play and long-term participation in pivoting sports after anterior cruciate ligament reconstruction. Am J Sports Med 2019;47:3339-46. doi: 10.1177/0363546519878159.
  5. Atik OŞ, Kaya İ. Is it possible to prevent ACL injury? Jt Dis Relat Surg 2022;33:263-4. doi: 10.52312/jdrs.2022.57905.
  6. Acevedo RJ, Rivera-Vega A, Miranda G, Micheo W. Anterior cruciate ligament injury: Identification of risk factors and prevention strategies. Curr Sports Med Rep 2014;13:186-91. doi: 10.1249/JSR.0000000000000053.
  7. Kızılgöz V, Sivrioğlu AK, Ulusoy GR, Yıldız K, Aydın H, Çetin T. Posterior tibial slope measurement on lateral knee radiographs as a risk factor of anterior cruciate ligament injury: A cross-sectional study. Radiography (Lond) 2019;25:33-8. doi: 10.1016/j.radi.2018.07.007.
  8. Hohmann E, Tetsworth K, Glatt V, Ngcelwane M, Keough N. Medial and lateral posterior tibial slope are independent risk factors for noncontact ACL injury in both men and women. Orthop J Sports Med 2021;9:23259671211015940. doi: 10.1177/23259671211015940.
  9. Wang HM, Shultz SJ, Ross SE, Henson RA, Perrin DH, Schmitz RJ. ACL size and notch width between ACLR and healthy individuals: A pilot study. Sports Health 2020;12:61-5. doi: 10.1177/1941738119873631.
  10. Barnum MS, Boyd ED, Vacek P, Slauterbeck JR, Beynnon BD. Association of geometric characteristics of knee anatomy (alpha angle and intercondylar notch type) with noncontact ACL injury. Am J Sports Med 2021;49:2624-30. doi: 10.1177/03635465211023750.
  11. Li Z, Li C, Li L, Wang P. Correlation between notch width index assessed via magnetic resonance imaging and risk of anterior cruciate ligament injury: An updated meta-analysis. Surg Radiol Anat 2020;42:1209-17. doi: 10.1007/s00276-020- 02496-6.
  12. Polat AE, Polat B, Gürpınar T, Sarı E, Çarkçı E, Erler K. Tibial tubercle-trochlear groove (TT-TG) distance is a reliable measurement of increased rotational laxity in the knee with an anterior cruciate ligament injury. Knee 2020;27:1601-7. doi: 10.1016/j.knee.2020.08.014.
  13. Zeng C, Gao SG, Wei J, Yang TB, Cheng L, Luo W, et al. The influence of the intercondylar notch dimensions on injury of the anterior cruciate ligament: A meta-analysis. Knee Surg Sports Traumatol Arthrosc 2013;21:804-15. doi: 10.1007/ s00167-012-2166-4.
  14. Simon RA, Everhart JS, Nagaraja HN, Chaudhari AM. A case-control study of anterior cruciate ligament volume, tibial plateau slopes and intercondylar notch dimensions in ACL-injured knees. J Biomech 2010;43:1702-7. doi: 10.1016/j. jbiomech.2010.02.033.
  15. Shen X, Xiao J, Yang Y, Liu T, Chen S, Gao Z, et al. Multivariable analysis of anatomic risk factors for anterior cruciate ligament injury in active individuals. Arch Orthop Trauma Surg 2019;139:1277-85. doi: 10.1007/s00402-019- 03210-x.
  16. Kızılgöz V, Sivrioğlu AK, Ulusoy GR, Aydın H, Karayol SS, Menderes U. Analysis of the risk factors for anterior cruciate ligament injury: An investigation of structural tendencies. Clin Imaging 2018;50:20-30. doi: 10.1016/j. clinimag.2017.12.004.
  17. Araujo P, van Eck CF, Torabi M, Fu FH. How to optimize the use of MRI in anatomic ACL reconstruction. Knee Surg Sports Traumatol Arthrosc 2013;21:1495-501. doi: 10.1007/ s00167-012-2153-9.
  18. Kim SH, Lee HJ, Park YB, Jeong HS, Ha CW. Anterior cruciate ligament tibial footprint size as measured on magnetic resonance imaging: Does it reliably predict actual size? Am J Sports Med 2018;46:1877-84. doi: 10.1177/0363546518767874.
  19. Illingworth KD, Hensler D, Working ZM, Macalena JA, Tashman S, Fu FH. A simple evaluation of anterior cruciate ligament femoral tunnel position: The inclination angle and femoral tunnel angle. Am J Sports Med 2011;39:2611-8. doi: 10.1177/0363546511420128.
  20. Verhulst FV, van Sambeeck JDP, Olthuis GS, van der Ree J, Koëter S. Patellar height measurements: Insall-Salvati ratio is most reliable method. Knee Surg Sports Traumatol Arthrosc 2020;28:869-75. doi: 10.1007/s00167-019-05531-1.
  21. Gentili A, Seeger LL, Yao L, Do HM. Anterior cruciate ligament tear: Indirect signs at MR imaging. Radiology 1994;193:835-40. doi: 10.1148/radiology.193.3.7972834.
  22. Rahnemai-Azar AA, Abebe ES, Johnson P, Labrum J, Fu FH, Irrgang JJ, et al. Increased lateral tibial slope predicts high-grade rotatory knee laxity pre-operatively in ACL reconstruction. Knee Surg Sports Traumatol Arthrosc 2017;25:1170-6. doi: 10.1007/s00167-016-4157-3.
  23. Park JS, Nam DC, Kim DH, Kim HK, Hwang SC. Measurement of knee morphometrics using MRI: A comparative study between ACL-injured and non-injured knees. Knee Surg Relat Res 2012;24:180-5. doi: 10.5792/ksrr.2012.24.3.180.
  24. Shelbourne KD, Facibene WA, Hunt JJ. Radiographic and intraoperative intercondylar notch width measurements in men and women with unilateral and bilateral anterior cruciate ligament tears. Knee Surg Sports Traumatol Arthrosc 1997;5:229-33. doi: 10.1007/s001670050055.
  25. Shen L, Jin ZG, Dong QR, Li LB. Anatomical risk factors of anterior cruciate ligament injury. Chin Med J (Engl) 2018;131:2960-7. doi: 10.4103/0366-6999.247207.
  26. Sturnick DR, Vacek PM, DeSarno MJ, Gardner-Morse MG, Tourville TW, Slauterbeck JR, et al. Combined anatomic factors predicting risk of anterior cruciate ligament injury for males and females. Am J Sports Med 2015;43:839-47. doi: 10.1177/0363546514563277.
  27. Bayer S, Meredith SJ, Wilson KW, de Sa D, Pauyo T, Byrne K, et al. Knee morphological risk factors for anterior cruciate ligament injury: A systematic review. J Bone Joint Surg [Am] 2020;102:703-18. doi: 10.2106/JBJS.19.00535.
  28. Hudek R, Fuchs B, Regenfelder F, Koch PP. Is noncontact ACL injury associated with the posterior tibial and meniscal slope? Clin Orthop Relat Res 2011;469:2377-84. doi: 10.1007/ s11999-011-1802-5.
  29. Sauer S, English R, Clatworthy M. The ratio of tibial slope and meniscal bone angle for the prediction of ACL reconstruction failure risk. Surg J (N Y) 2018;4:e152-9. doi: 10.1055/s-0038- 1668111.
  30. Adhikari V, Joshi A, Singh N, Pradhan I. Predictive accuracy of Blumensaat line angle and its apex along with anterior cruciate ligament inclination angle for diagnosis of anterior cruciate ligament tear with abundant remnant. J Nepal Health Res Counc 2021;18:604-9. doi: 10.33314/jnhrc.v18i4.2939.