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Early MRI-based quantitative outcomes are associated with a positive functional performance trajectory from 6 to 24 months post-ACL surgery

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Knee Surgery, Sports Traumatology, Arthroscopy Aims and scope

Abstract

Purpose

Quantitative magnetic resonance imaging (qMRI) has been used to determine the failure properties of ACL grafts and native ACL repairs and/or restorations. How these properties relate to future clinical, functional, and patient-reported outcomes remain unknown. The study objective was to investigate the relationship between non-contemporaneous qMRI measures and traditional outcome measures following Bridge-Enhanced ACL Restoration (BEAR). It was hypothesized that qMRI parameters at 6 months would be associated with clinical, functional, and/or patient-reported outcomes at 6 months, 24 months, and changes from 6 to 24 months post-surgery.

Methods

Data of BEAR patients (n = 65) from a randomized control trial of BEAR versus ACL reconstruction (BEAR II Trial; NCT02664545) were utilized retrospectively for the present analysis. Images were acquired using the Constructive Interference in Steady State (CISS) sequence at 6 months post-surgery. Single-leg hop test ratios, arthrometric knee laxity values, and International Knee Documentation Committee (IKDC) subjective scores were determined at 6 and 24 months post-surgery. The associations between traditional outcomes and MRI measures of normalized signal intensity, mean cross-sectional area (CSA), volume, and estimated failure load of the healing ACL were evaluated based on bivariate correlations and multivariable regression analyses, which considered the potential effects of age, sex, and body mass index.

Results

CSA (r = 0.44, p = 0.01), volume (r = 0.44, p = 0.01), and estimated failure load (r = 0.48, p = 0.01) at 6 months were predictive of the change in single-leg hop ratio from 6 to 24 months in bivariate analysis. CSA (βstandardized = 0.42, p = 0.01), volume (βstandardized = 0.42, p = 0.01), and estimated failure load (βstandardized = 0.48, p = 0.01) remained significant predictors when considering the demographic variables. No significant associations were observed between MRI variables and either knee laxity or IKDC when adjusting for demographic variables. Signal intensity was also not significant at any timepoint.

Conclusion

The qMRI-based measures of CSA, volume, and estimated failure load were predictive of a positive functional outcome trajectory from 6 to 24 months post-surgery. These variables measured using qMRI at 6 months post-surgery could serve as prospective markers of the functional outcome trajectory from 6 to 24 months post-surgery, aiding in rehabilitation programming and return-to-sport decisions to improve surgical outcomes and reduce the risk of reinjury.

Level of evidence

Level II.

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Abbreviations

ACL:

Anterior cruciate ligament

ACLR:

Anterior cruciate ligament reconstruction

BEAR:

Bridge-enhanced anterior cruciate ligament restoration

BMI:

Body mass index

CISS:

Constructive interference in steady state

CSA:

Cross-sectional area

IKDC:

International knee documentation committee

KOOS:

Knee injury and osteoarthritis outcome score

SI:

Signal intensity

qMRI:

Quantitative magnetic resonance imaging

References

  1. Ahmad SS, Difelice GS, Van Der List JP, Ateschrang A, Hirschmann MT (2019) Primary repair of the anterior cruciate ligament: real innovation or reinvention of the wheel? Knee Surg Sports Traumatol Arthrosc 27:1–2

    Article  PubMed  Google Scholar 

  2. Ahmad SS, Meyer JC, Krismer AM, Ahmad SS, Evangelopoulos DS, Hoppe S et al (2017) Outcome measures in clinical ACL studies: an analysis of highly cited level I trials. Knee Surg Sports Traumatol Arthrosc 25:1517–1527

    Article  PubMed  Google Scholar 

  3. Barnett SC, Murray MM, Badger GJ, Yen YM, Kramer DE, Sanborn R et al (2021) Earlier resolution of symptoms and return of function after bridge-enhanced anterior cruciate ligament repair as compared with anterior cruciate ligament reconstruction. Orthop J Sports Med 9:23259671211052530

    Article  PubMed  PubMed Central  Google Scholar 

  4. Biercevicz AM, Akelman MR, Fadale PD, Hulstyn MJ, Shalvoy RM, Badger GJ et al (2015) MRI volume and signal intensity of ACL graft predict clinical, functional, and patient-oriented outcome measures after ACL reconstruction. Am J Sports Med 43:693–699

    Article  PubMed  Google Scholar 

  5. Biercevicz AM, Miranda DL, Machan JT, Murray MM, Fleming BC (2013) In Situ, noninvasive, T2*-weighted MRI-derived parameters predict ex vivo structural properties of an anterior cruciate ligament reconstruction or bioenhanced primary repair in a porcine model. Am J Sports Med 41:560–566

    Article  PubMed  PubMed Central  Google Scholar 

  6. Biercevicz AM, Murray MM, Walsh EG, Miranda DL, Machan JT, Fleming BC (2014) T2* MR relaxometry and ligament volume are associated with the structural properties of the healing ACL. J Orthop Res 32:492–499

    Article  PubMed  Google Scholar 

  7. Biercevicz AM, Proffen BL, Murray MM, Walsh EG, Fleming BC (2015) T2* relaxometry and volume predict semi-quantitative histological scoring of an ACL bridge-enhanced primary repair in a porcine model. J Orthop Res 33:1180–1187

    Article  PubMed  PubMed Central  Google Scholar 

  8. Chu CR, Williams AA, Erhart-Hledik JC, Titchenal MR, Qian Y, Andriacchi TP (2021) Visualizing preosteoarthritis: integrating MRI UTE-T2* with mechanics and biology to combat osteoarthritis the 2019 Elizabeth Winston Lanier Kappa Delta award. J Orthop Res. https://doi.org/10.1002/jor.25045

    Article  PubMed  Google Scholar 

  9. Chu CR, Williams AA, West RV, Qian Y, Fu FH, Do BH et al (2014) Quantitative magnetic resonance imaging UTE-T2* mapping of cartilage and meniscus healing after anatomic anterior cruciate ligament reconstruction. Am J Sports Med 42:1847–1856

    Article  PubMed  PubMed Central  Google Scholar 

  10. Davies WT, Myer GD, Read PJ (2020) Is it time we better understood the tests we are using for return to sport decision making following ACL reconstruction? A critical review of the hop tests. Sports Med 50:485–495

    Article  PubMed  Google Scholar 

  11. Hsu WH, Fan CH, Yu PA, Chen CL, Kuo LT, Hsu RW (2018) Effect of high body mass index on knee muscle strength and function after anterior cruciate ligament reconstruction using hamstring tendon autografts. BMC Musculoskelet Disord 19:363. https://doi.org/10.1186/s12891-018-2277-2

    Article  PubMed  PubMed Central  Google Scholar 

  12. Irrgang JJ, Ho H, Harner CD, Fu FH (1998) Use of the International Knee Documentation Committee guidelines to assess outcome following anterior cruciate ligament reconstruction. Knee Surg Sports Traumatol Arthrosc 6:107–114

    Article  CAS  PubMed  Google Scholar 

  13. Ithurburn MP, Zbojniewicz AM, Thomas S, Evans KD, Pennell ML, Magnussen RA et al (2019) Lower patient-reported function at 2 years is associated with elevated knee cartilage T1rho and T2 relaxation times at 5 years in young athletes after ACL reconstruction. Knee Surg Sports Traumatol Arthrosc 27:2643–2652

    Article  PubMed  Google Scholar 

  14. Kajabi AW, Casula V, Ojanen S, Finnila MA, Herzog W, Saarakkala S et al (2020) Multiparametric MR imaging reveals early cartilage degeneration at 2 and 8 weeks after ACL transection in a rabbit model. J Orthop Res 38:1974–1986

    Article  CAS  PubMed  Google Scholar 

  15. Kiapour A, Murray M (2014) Basic science of anterior cruciate ligament injury and repair. Bone Joint Res 3:20–31

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Kiapour AM, Ecklund K, Murray MM, Team BT, Flutie B, Freiberger C, et al (2019) Changes in cross-sectional area and signal intensity of healing anterior cruciate ligaments and grafts in the first 2 years after surgery. Am J Sports Med 47:1831–1843

  17. Kiapour AM, Flannery SW, Murray MM, Miller PE, Proffen BL, Sant N et al (2021) Regional differences in anterior cruciate ligament signal intensity after surgical treatment. Am J Sports Med 49(14):3833–3841

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kiapour AM, Fleming BC, Murray MM (2017) Structural and anatomic restoration of the anterior cruciate ligament is associated with less cartilage damage 1 year after surgery: healing ligament properties affect cartilage damage. Orthop J Sports Med 5:2325967117723886

    Article  PubMed  PubMed Central  Google Scholar 

  19. Kiapour AM, Fleming BC, Proffen BL, Murray MM (2015) Sex influences the biomechanical outcomes of anterior cruciate ligament reconstruction in a preclinical large animal model. Am J Sports Med 43:1623–1631

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kiapour AM, Yang DS, Badger GJ, Karamchedu NP, Murray MM, Fadale PD et al (2019) Anatomic features of the tibial plateau predict outcomes of ACL reconstruction within 7 years after surgery. Am J Sports Med 47:303–311

    Article  PubMed  PubMed Central  Google Scholar 

  21. Koff MF, Shah P, Pownder S, Romero B, Williams R, Gilbert S et al (2013) Correlation of meniscal T2* with multiphoton microscopy, and change of articular cartilage T2 in an ovine model of meniscal repair. Osteoarthr Cartil 21:1083–1091

    Article  CAS  Google Scholar 

  22. Kowalchuk DA, Harner CD, Fu FH, Irrgang JJ (2009) Prediction of patient-reported outcome after single-bundle anterior cruciate ligament reconstruction. Arthroscopy 25:457–463

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lansdown DA, Xiao W, Zhang AL, Allen CR, Feeley BT, Li X et al (2020) Quantitative imaging of anterior cruciate ligament (ACL) graft demonstrates longitudinal compositional changes and relationships with clinical outcomes at 2 years after ACL reconstruction. J Orthop Res 38:1289–1295

    Article  PubMed  PubMed Central  Google Scholar 

  24. Lebel B, Hulet C, Galaud B, Burdin G, Locker B, Vielpeau C (2008) Arthroscopic reconstruction of the anterior cruciate ligament using bone-patellar tendon-bone autograft: a minimum 10-year follow-up. Am J Sports Med 36:1275–1282

    Article  PubMed  Google Scholar 

  25. Lesevic M, Kew ME, Bodkin SG, Diduch DR, Brockmeier SF, Miller MD et al (2020) The affect of patient sex and graft type on postoperative functional outcomes after primary ACL reconstruction. Orthop J Sports Med 8:2325967120926052

    Article  PubMed  PubMed Central  Google Scholar 

  26. Li AK, Pedoia V, Tanaka M, Souza RB, Ma CB, Li X (2020) Six-month post-surgical elevations in cartilage T1rho relaxation times are associated with functional performance 2 years after ACL reconstruction. J Orthop Res 38:1132–1140

    Article  PubMed  Google Scholar 

  27. Logerstedt D, Grindem H, Lynch A, Eitzen I, Engebretsen L, Risberg MA et al (2012) Single-legged hop tests as predictors of self-reported knee function after anterior cruciate ligament reconstruction: the Delaware-Oslo ACL cohort study. Am J Sports Med 40:2348–2356

    Article  PubMed  PubMed Central  Google Scholar 

  28. Marchiori G, Cassiolas G, Berni M, Grassi A, Dal Fabbro G, Fini M et al (2021) A comprehensive framework to evaluate the effects of anterior cruciate ligament injury and reconstruction on graft and cartilage status through the analysis of MRI T2 relaxation time and knee laxity: a pilot study. Life (Basel) 11:1383

    PubMed  Google Scholar 

  29. Murray MM, Fleming BC, Badger GJ, Team BT, Freiberger C, Henderson R, et al (2020) Bridge-enhanced anterior cruciate ligament repair is not inferior to autograft anterior cruciate ligament reconstruction at 2 years: results of a prospective randomized clinical trial. Am J Sports Med 48:1305–1315

  30. Murray MM, Kalish LA, Fleming BC, Flutie B, Freiberger C, Henderson RN et al (2019) Bridge-enhanced anterior cruciate ligament repair: two-year results of a first-in-human study. Orthop J Sports Med 7:2325967118824356

    Article  PubMed  PubMed Central  Google Scholar 

  31. Murray MM, Kiapour AM, Kalish LA, Ecklund K, Fleming BC, Freiberger C et al (2019) Predictors of healing ligament size and magnetic resonance signal intensity at 6 months after bridge-enhanced anterior cruciate ligament repair. Am J Sports Med 47:1361–1369

    Article  PubMed  PubMed Central  Google Scholar 

  32. Oak SR, O’Rourke C, Strnad G, Andrish JT, Parker RD, Saluan P et al (2015) Statistical Comparison of the Pediatric Versus Adult IKDC Subjective Knee Evaluation Form in Adolescents. Am J Sports Med 43:2216–2221

    Article  PubMed  Google Scholar 

  33. Perrone GS, Proffen BL, Kiapour AM, Sieker JT, Fleming BC, Murray MM (2017) Bench-to-bedside: Bridge-enhanced anterior cruciate ligament repair. J Orthop Res 35:2606–2612

    Article  PubMed  PubMed Central  Google Scholar 

  34. Pfeiffer SJ, Spang JT, Nissman D, Lalush D, Wallace K, Harkey MS et al (2021) Association of jump-landing biomechanics with tibiofemoral articular cartilage composition 12 months after ACL reconstruction. Orthop J Sports Med 9:232596712110164

    Article  Google Scholar 

  35. Proffen BL, Perrone GS, Fleming BC, Sieker JT, Kramer J, Hawes ML et al (2015) Electron beam sterilization does not have a detrimental effect on the ability of extracellular matrix scaffolds to support in vivo ligament healing. J Orthop Res 33:1015–1023

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Reinke EK, Spindler KP, Lorring D, Jones MH, Schmitz L, Flanigan DC et al (2011) Hop tests correlate with IKDC and KOOS at minimum of 2 years after primary ACL reconstruction. Knee Surg Sports Traumatol Arthrosc 19:1806–1816

    Article  PubMed  PubMed Central  Google Scholar 

  37. Skipper S, Josef P (2010) Statsmodels: Econometric and Statistical Modeling with Python. Paper presented at: The 9th Python in Science Conference. How can this paper be found

  38. Snaebjornsson T, Svantesson E, Sundemo D, Westin O, Sansone M, Engebretsen L et al (2019) Young age and high BMI are predictors of early revision surgery after primary anterior cruciate ligament reconstruction: a cohort study from the Swedish and Norwegian knee ligament registries based on 30,747 patients. Knee Surg Sports Traumatol Arthrosc 27:3583–3591

    Article  PubMed  PubMed Central  Google Scholar 

  39. Titchenal MR, Williams AA, Chehab EF, Asay JL, Dragoo JL, Gold GE et al (2018) Cartilage subsurface changes to magnetic resonance imaging UTE-T2* 2 years after anterior cruciate ligament reconstruction correlate with walking mechanics associated with knee osteoarthritis. Am J Sports Med 46:565–572

    Article  PubMed  PubMed Central  Google Scholar 

  40. Van Dyck P, Zazulia K, Smekens C, Heusdens CHW, Janssens T, Sijbers J (2019) Assessment of anterior cruciate ligament graft maturity with conventional magnetic resonance imaging: a systematic literature review. Orthop J Sports Med 7:2325967119849012

    PubMed  PubMed Central  Google Scholar 

  41. Van Eck CF, Loopik M, Van Den Bekerom MP, Fu FH, Kerkhoffs GMMJ (2013) Methods to diagnose acute anterior cruciate ligament rupture: a meta-analysis of instrumented knee laxity tests. Knee Surg Sports Traumatol Arthrosc 21:1989–1997

    Article  PubMed  Google Scholar 

  42. Webster KE, McPherson AL, Hewett TE, Feller JA (2019) Factors associated with a return to preinjury level of sport performance after anterior cruciate ligament reconstruction surgery. Am J Sports Med 47:2557–2562

    Article  PubMed  Google Scholar 

  43. Williams A, Qian Y, Golla S, Chu CR (2012) UTE-T2* mapping detects sub-clinical meniscus injury after anterior cruciate ligament tear. Osteoarthr Cartil 20:486–494

    Article  CAS  Google Scholar 

  44. Williams AA, Titchenal MR, Andriacchi TP, Chu CR (2018) MRI UTE-T2* profile characteristics correlate to walking mechanics and patient reported outcomes 2 years after ACL reconstruction. Osteoarthr Cartil 26:569–579

    Article  CAS  Google Scholar 

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Acknowledgements

This work was supported by the BEAR Trial Team. We would like to thank the following: Benedikt Proffen, Nicholas Sant, Gabriela Portilla, Ryan Sanborn, Christina Freiberger, Rachael Henderson, Samuel Barnett, Yi-Meng Yen, Lyle Micheli.

Funding

Translational Research Program at Boston Children’s Hospital, the Children’s Hospital Orthopaedic Surgery Foundation, the Children’s Hospital Sports Medicine Foundation, the Football Players Health Study at Harvard University, the National Institutes of Health (R01-AR065462, R01-AR056834 and P30-GM122732), and the Lucy Lippitt Endowment of Brown University.

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Authors and Affiliations

Authors

Consortia

Contributions

SWF and GJB performed statistical analyses. AMK performed image processing. MMM, KE, DEK, and BEAR Trial Team designed and collected the BEAR clinical trial data. SWF, MMM, BCF, AMK conceived and designed the study. SWF, AMK and BCF drafted the manuscript. All authors read and approved the final manuscript. This study was funded by the Translational Research Program at Boston Children’s Hospital, the Children’s Hospital Orthopaedic Surgery Foundation, the Children’s Hospital Sports Medicine Foundation, the Football Players Health Study at Harvard University, the National Institutes of Health (R01-AR065462, R01-AR056834 and P30-GM122732), and the Lucy Lippitt Endowment of Brown University.

Corresponding author

Correspondence to Ata M. Kiapour.

Ethics declarations

Conflict of interest

MMM, AMK, BCF (Miach Orthopaedics); BCF and AMK (AJSM). One or more of the authors has declared the following potential conflict of interest: MMM is a founder and equity holder in Miach Orthopaedics, Inc, which was formed to upscale production of the BEAR scaffold. MMM maintained a conflict-of-interest management plan that was approved by Boston Children’s Hospital and Harvard Medical School during the conduct of the trial, with oversight by both conflict-of-interest committees and the institutional review board of Boston Children’s Hospital, as well as the US Food and Drug Administration. AMK is a paid consultant of Miach Orthopaedics. DEK is a paid consultant for Miach Orthopaedics, Johnson & Johnson, and receives educational support from Kairos Surgical. BCF is an associate editor for The American Journal of Sports Medicine, a founder of Miach Orthopaedics, and the spouse of MMM who has the added conflicts. A conflict-of-interest management plan for BCF was implemented by Rhode Island Hospital during the course of this study.

Ethical approval

Informed consent was obtained following IRB approval (IRB P00021470). Author contributions: SWF and GJB performed statistical analyses. AMK performed image processing. MMM, KE, DEK, and BEAR Trial Team designed and collected the BEAR clinical trial data. SWF, MMM, BCF, AMK conceived and designed the study. SWF, AMK and BCF drafted the manuscript. All authors read and approved the final manuscript.

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BEAR Trial Team: Benedikt Proffen, Nicholas Sant, Gabriela Portilla, Ryan Sanborn, Christina Freiberger, Rachael Henderson, Samuel Barnett, Yi-Meng Yen, Lyle Micheli

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Flannery, S.W., Murray, M.M., Badger, G.J. et al. Early MRI-based quantitative outcomes are associated with a positive functional performance trajectory from 6 to 24 months post-ACL surgery. Knee Surg Sports Traumatol Arthrosc 31, 1690–1698 (2023). https://doi.org/10.1007/s00167-022-07000-8

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