Literature DB >> 29126953

Radiological risk factors for progression of ossification of posterior longitudinal ligament following laminoplasty.

Dong-Ho Lee1, Jae Hwan Cho2, Nam-Heun Kim1, Sunghoo Kim1, Jeonghyun Choi1, Chang Ju Hwang1, Choon Sung Lee1.   

Abstract

BACKGROUND CONTEXT: Research shows the progression of ossification of the posterior longitudinal ligament (OPLL) following decompressive surgery for cervical myelopathy, particularly in cases presenting with continuous or mixed radiographic types. To date, no study has investigated OPLL progression within each motion segment.
PURPOSE: To evaluate progression of cervical OPLL in each motion segment using a novel system of classification, and to identify risk factors for OPLL progression following laminoplasty. STUDY DESIGN/
SETTING: Retrospective case series. PATIENT SAMPLE: This study included 34 patients (86 segments) with cervical myelopathy secondary to OPLL. OUTCOME MEASURES: Clinical and radiological data (plain radiographs and computed tomography [CT]) were obtained.
METHODS: Clinical data from 34 patients (86 segments) with cervical myelopathy secondary to OPLL were evaluated retrospectively. All subjects had undergone laminoplasty at a single center. Sagittal reconstructive CT images were used to measure OPLL thickness in each segment. Ossified masses were classified into four types according to the degree of disc space involvement: type 1 (no involvement); type 2 (involving disc space but not crossing); type 3 (crossing disc space but not fused); and type 4 (complete bridging). Range of motion (ROM) for each segment was measured using dynamic radiographs. Statistical analyses were performed to determine the degree of OPLL progression according to the four disc space involvement types and ROM.
RESULTS: Mean OPLL progression was significantly higher in types 2 (1.3 mm) and 3 (1.5 mm) than in type 1 (0.5 mm) (p<.001). Severe progression (change in thickness >2 mm) was more frequent in types 2 (8 of 29) and 3 (7 of 16) than in types 1 (1 of 35) or 4 (0 of 6) (p=.002). In types 2 or 3, ROM>5° was correlated with severe OPLL progression (52% vs. 8%; p=.035).
CONCLUSIONS: Type 2 or 3 disc involvement and segmental ROM>5° were risk factors for OPLL progression. Classification of cervical OPLL according to disc involvement may help predict OPLL progression following laminoplasty. Close follow-up is warranted in cases of type 2 or 3 with greater segmental motion.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cervical; Classification; Laminoplasty; OPLL; Progression; Risk factor

Mesh:

Year:  2017        PMID: 29126953     DOI: 10.1016/j.spinee.2017.10.069

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  6 in total

1.  The bridge crane technique for the treatment of the severe thoracic ossification of the ligamentum flavum with myelopathy.

Authors:  Jingchuan Sun; Kaiqiang Sun; Jiangang Shi; Ximing Xu; Yuan Wang; Qingjie Kong
Journal:  Eur Spine J       Date:  2018-06-29       Impact factor: 3.134

2.  Analysis of intervertebral disc degeneration in patients with ossification of the posterior longitudinal ligament.

Authors:  Xi Luo; Kaiqiang Sun; Jian Zhu; Shunmin Wang; Yuan Wang; Jingchuan Sun; Jiangang Shi
Journal:  Quant Imaging Med Surg       Date:  2022-03

3.  A novel anterior decompression technique for kyphosis line (K-line) ossification of posterior longitudinal ligament (OPLL): vertebral body sliding osteotomy.

Authors:  Dong-Ho Lee; Sehan Park; Chul Gie Hong
Journal:  J Spine Surg       Date:  2020-03

4.  Significance of Vertebral Body Sliding Osteotomy as a Surgical Strategy for the Treatment of Cervical Ossification of the Posterior Longitudinal Ligament.

Authors:  Dong-Ho Lee; Sehan Park; Chul Gie Hong; Shinseok Kim; Jae Hwan Cho; Chang Ju Hwang; Jae Jun Yang; Choon Sung Lee
Journal:  Global Spine J       Date:  2020-11-23

5.  Investigation of Symptomatic Unstable Changes of Non-Fused Component in the Mixed-Type Cervical Ossification of Posterior Longitudinal Ligament Using Dynamic Magnetic Resonance Imaging: A Case Report.

Authors:  Yoon Hee Choo; Sang Woo Kim; Ikchan Jeon
Journal:  Korean J Neurotrauma       Date:  2018-10-31

6.  A deep learning algorithm to identify cervical ossification of posterior longitudinal ligaments on radiography.

Authors:  Koji Tamai; Hidetomi Terai; Masatoshi Hoshino; Akito Yabu; Hitoshi Tabuchi; Ryo Sasaki; Hiroaki Nakamura
Journal:  Sci Rep       Date:  2022-02-08       Impact factor: 4.379

  6 in total

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