Literature DB >> 34668789

Regional Differences in Anterior Cruciate Ligament Signal Intensity After Surgical Treatment.

Ata M Kiapour1,2, Sean W Flannery3,2, Martha M Murray2, Patricia E Miller1,2, Benedikt L Proffen2, Nicholas Sant2, Gabriela Portilla2, Ryan Sanborn2, Christina Freiberger2, Rachael Henderson2, Samuel Barnett2, Kirsten Ecklund2, Yi-Meng Yen2, Dennis E Kramer2, Lyle J Micheli4,2, Braden C Fleming3,2.   

Abstract

BACKGROUND: Magnetic resonance-based measurements of signal intensity have been used to track healing of surgically treated anterior cruciate ligaments (ACLs). However, it is unknown how the signal intensity values in different regions of the ligament or graft change during healing. HYPOTHESES: (1) Normalized signal intensity of the healing graft or repaired ACL is heterogeneous; (2) temporal changes in normalized signal intensity values differ among the tibial, middle, and femoral regions; and (3) there are no differences in regional normalized signal intensity values 2 years postoperatively among grafts, repaired ACLs, and contralateral native ACLs. STUDY
DESIGN: Cohort study; Level of evidence, 2.
METHODS: Magnetic resonance imaging scans were analyzed from patients in a trial comparing ACL reconstruction (n = 35) with bridge-enhanced ACL repair (n = 65). The ACLs were segmented from images acquired at 6, 12, and 24 months postoperatively and were partitioned into 3 sections along the longitudinal axis (femoral, middle, and tibial). Linear mixed modeling was used to compare location-specific differences in normalized ligament signal intensity among time points (6, 12, and 24 months) and groups (ACL reconstruction, repair, and contralateral native ACL).
RESULTS: For grafts, the middle region had a higher mean normalized signal intensity when compared with the femoral region at all time points (P < .01) but compared with the tibial region only at 6 months (P < .01). For repaired ACLs, the middle region had a higher mean normalized signal intensity versus the femoral region at all time points (P < .01) but versus the tibial region only at 6 and 12 months (P < .04). From 6 to 24 months, the grafts showed the greatest reduction in normalized signal intensity in the femoral and middle regions (vs tibial regions; P < .01), while there were no regional differences in repaired ACLs. At 2 years after surgery, repaired ACLs had a lower normalized signal intensity in the tibial region as compared with reconstructed grafts and contralateral native ACLs (P < .01).
CONCLUSION: The results suggest that graft remodeling is location specific. Repaired ACLs were more homogeneous, with lower or comparable normalized signal intensity values at 2 years as compared with the contralateral native ACL and reconstructed grafts.

Entities:  

Keywords:  ACL MRI signal intensity; ACL reconstruction; ACL repair; healing; remodeling

Mesh:

Year:  2021        PMID: 34668789      PMCID: PMC8829819          DOI: 10.1177/03635465211047554

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


  27 in total

1.  Cartilage Damage Is Related to ACL Stiffness in a Porcine Model of ACL Repair.

Authors:  Jillian E Beveridge; Benedikt L Proffen; Naga Padmini Karamchedu; Kaitlyn E Chin; Jakob T Sieker; Gary J Badger; Ata M Kiapour; Martha M Murray; Braden C Fleming
Journal:  J Orthop Res       Date:  2019-06-25       Impact factor: 3.494

2.  T2 * MR relaxometry and ligament volume are associated with the structural properties of the healing ACL.

Authors:  Alison M Biercevicz; Martha M Murray; Edward G Walsh; Danny L Miranda; Jason T Machan; Braden C Fleming
Journal:  J Orthop Res       Date:  2013-12-16       Impact factor: 3.494

3.  The use of magnetic resonance imaging to predict ACL graft structural properties.

Authors:  Braden C Fleming; Sridhar Vajapeyam; Susan A Connolly; Elise M Magarian; Martha M Murray
Journal:  J Biomech       Date:  2011-09-29       Impact factor: 2.712

4.  MRI volume and signal intensity of ACL graft predict clinical, functional, and patient-oriented outcome measures after ACL reconstruction.

Authors:  Alison M Biercevicz; Matthew R Akelman; Paul D Fadale; Michael J Hulstyn; Robert M Shalvoy; Gary J Badger; Glenn A Tung; Heidi L Oksendahl; Braden C Fleming
Journal:  Am J Sports Med       Date:  2014-12-24       Impact factor: 6.202

5.  Regional Variation in the Mechanical and Microstructural Properties of the Human Anterior Cruciate Ligament.

Authors:  Nathan W Skelley; Ryan M Castile; Paul C Cannon; Christian I Weber; Robert H Brophy; Spencer P Lake
Journal:  Am J Sports Med       Date:  2016-07-25       Impact factor: 6.202

6.  Quantitative Assessment of In Vivo Human Anterior Cruciate Ligament Autograft Remodeling: A 3-Dimensional UTE-T2* Imaging Study.

Authors:  Ryan J Warth; Payam Zandiyeh; Mayank Rao; Refaat E Gabr; Scott Tashman; Manickam Kumaravel; Ponnada A Narayana; Walter R Lowe; Christopher D Harner
Journal:  Am J Sports Med       Date:  2020-09-11       Impact factor: 6.202

7.  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.

Authors:  Alison M Biercevicz; Daniel L Miranda; Jason T Machan; Martha M Murray; Braden C Fleming
Journal:  Am J Sports Med       Date:  2013-01-24       Impact factor: 6.202

Review 8.  A systematic review of anterior cruciate ligament reconstruction rehabilitation: part I: continuous passive motion, early weight bearing, postoperative bracing, and home-based rehabilitation.

Authors:  Rick W Wright; Emily Preston; Braden C Fleming; Annunziato Amendola; Jack T Andrish; John A Bergfeld; Warren R Dunn; Chris Kaeding; John E Kuhn; Robert G Marx; Eric C McCarty; Richard C Parker; Kurt P Spindler; Michelle Wolcott; Brian R Wolf; Glenn N Williams
Journal:  J Knee Surg       Date:  2008-07       Impact factor: 2.757

9.  Protoporphyrinogen oxidase inhibition by three peroxidizing herbicides: oxadiazon, LS 82-556 and M&B 39279.

Authors:  M Matringe; J M Camadro; P Labbe; R Scalla
Journal:  FEBS Lett       Date:  1989-03-13       Impact factor: 4.124

10.  Automated magnetic resonance image segmentation of the anterior cruciate ligament.

Authors:  Sean W Flannery; Ata M Kiapour; David J Edgar; Martha M Murray; Braden C Fleming
Journal:  J Orthop Res       Date:  2020-12-07       Impact factor: 3.494

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  1 in total

1.  Changes in the Cross-Sectional Profile of Treated Anterior Cruciate Ligament Within 2 Years After Surgery.

Authors:  Danilo Menghini; Shankar G Kaushal; Sean W Flannery; Kirsten Ecklund; Martha M Murray; Braden C Fleming; Ata M Kiapour; Benedikt Proffen; Nicholas Sant; Gabriela Portilla; Ryan Sanborn; Christina Freiberger; Rachael Henderson; Samuel Barnett; Yi-Meng Yen; Dennis E Kramer; Lyle J Micheli
Journal:  Orthop J Sports Med       Date:  2022-10-14
  1 in total

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