Literature DB >> 32159238

Cervical spine MRI phenotypes and prediction of pain, disability and adjacent segment degeneration/disease after ACDF.

Garrett K Harada1,2, Youping Tao3, Philip K Louie1,2, Bryce A Basques1,2, Fabio Galbusera4, Frank Niemeyer3, Hans-Joachim Wilke3, Edward Goldberg1,2, Howard S An1,2, Dino Samartzis1,2.   

Abstract

Degenerative spine imaging findings have been extensively studied in the lumbar region and are associated with pain and adverse clinical outcomes after surgery. However, few studies have investigated the significance of these imaging "phenotypes" in the cervical spine. Patients with degenerative cervical spine pathology undergoing anterior cervical discectomy and fusion (ACDF) from 2008 to 2015 were retrospectively and prospectively assessed using preoperative MRI for disc degeneration, narrowing, and displacement, high-intensity zones, endplate abnormalities, Modic changes, and osteophyte formation from C2-T1. Points were assigned for these phenotypes to generate a novel Cervical Phenotype Index (CPI). Demographics were evaluated for association with phenotypes and the CPI using forward stepwise regression. Bootstrap sampling and multiple imputations assessed phenotypes and the CPI in association with patient-reported outcomes (Neck Disability Index [NDI], Visual Analog Scale [VAS]-neck, VAS-arm) and adjacent segment degeneration (ASDeg) and disease (ASDz). Of 861 patients, disc displacement was the most common (99.7%), followed by osteophytes (92.0%) and endplate abnormalities (57.3%). Most findings were associated with age and were identified at similar cervical vertebral levels; at C5-C7. Imaging phenotypes demonstrated both increased and decreased associations with adverse patient-reported outcomes and ASDeg/Dz. However, the CPI consistently predicted worse NDI (P = .012), VAS-neck (P = .007), and VAS-arm (P = .013) scores, in addition to higher odds of ASDeg (P = .002) and ASDz (P = .004). The CPI was significantly predictive of postoperative symptoms of pain/disability and ASDeg/Dz after ACDF, suggesting that the totality of degenerative findings may be more clinically relevant than individual phenotypes and that this tool may help prognosticate outcomes after surgery.
© 2020 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  cervical; classification; degeneration; disc; spine

Mesh:

Year:  2020        PMID: 32159238     DOI: 10.1002/jor.24658

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  3 in total

1.  Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion.

Authors:  Samuel S Rudisill; Alexander L Hornung; J Nicolás Barajas; Jack J Bridge; G Michael Mallow; Wylie Lopez; Arash J Sayari; Philip K Louie; Garrett K Harada; Youping Tao; Hans-Joachim Wilke; Matthew W Colman; Frank M Phillips; Howard S An; Dino Samartzis
Journal:  Eur Spine J       Date:  2022-05-11       Impact factor: 2.721

2.  The impact of age, sex, disc height loss and T1 slope on the upper and lower cervical lordosis: a large-scale radiologic study.

Authors:  Youping Tao; Fabio Galbusera; Frank Niemeyer; René Jonas; Dino Samartzis; Daniel Vogele; Hans-Joachim Wilke
Journal:  Eur Spine J       Date:  2021-07-30       Impact factor: 3.134

3.  Biomechanical Analysis of the Reasonable Cervical Range of Motion to Prevent Non-Fusion Segmental Degeneration After Single-Level ACDF.

Authors:  Weishi Liang; Bo Han; Yong Hai; Jincai Yang; Peng Yin
Journal:  Front Bioeng Biotechnol       Date:  2022-06-16
  3 in total

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