Literature DB >> 33190619

Predictive Value of Midsagittal Tissue Bridges on Functional Recovery After Spinal Cord Injury.

Dario Pfyffer1, Kevin Vallotton1, Armin Curt1, Patrick Freund1,2,3.   

Abstract

BACKGROUND: The majority of patients with spinal cord injury (SCI) have anatomically incomplete lesions and present with preserved tissue bridges, yet their outcomes vary.
OBJECTIVE: To assess the predictive value of the anatomical location (ventral/dorsal) and width of preserved midsagittal tissue bridges for American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade conversion and SCI patient stratification into recovery-specific subgroups.
METHODS: This retrospective longitudinal study includes 70 patients (56 men, age: 52.36 ± 18.58 years) with subacute (ie, 1 month) SCI (45 tetraplegics, 25 paraplegics), 1-month neuroimaging data, and 1-month and 12-month clinical data. One-month midsagittal T2-weighted scans were used to determine the location and width of tissue bridges. Their associations with functional outcomes were assessed using partial correlation and unbiased recursive partitioning conditional inference tree (URP-CTREE).
RESULTS: Fifty-seven (81.4%) of 70 patients had tissue bridges (2.53 ± 2.04 mm) at 1-month post-SCI. Larger ventral (P = .001, r = 0.511) and dorsal (P < .001, r = 0.546) tissue bridges were associated with higher AIS conversion rates 12 months post-SCI (n = 39). URP-CTREE analysis identified 1-month ventral tissue bridges as predictors of 12-month total motor scores (0.4 mm cutoff, P = .008), recovery of upper extremity motor scores at 12 months (1.82 mm cutoff, P = .002), 12-month pin-prick scores (1.4 mm cutoff, P = .018), and dorsal tissue bridges at 1 month as predictors of 12-month Spinal Cord Independence Measure scores (0.5 mm cutoff, P = .003).
CONCLUSIONS: Midsagittal tissue bridges add predictive value to baseline clinical measures for post-SCI recovery. Based on tissue bridges' width, patients can be classified into subgroups of clinical recovery profiles. Midsagittal tissue bridges provide means to optimize patient stratification in clinical trials.

Entities:  

Keywords:  decision trees; magnetic resonance imaging; prognosis; recovery of function; spinal cord injury

Year:  2020        PMID: 33190619     DOI: 10.1177/1545968320971787

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  7 in total

1.  Spinal Cord Tissue Bridges Validation Study: Predictive Relationships With Sensory Scores Following Cervical Spinal Cord Injury.

Authors:  Andrew C Smith; Denise R O'Dell; Wesley A Thornton; David Dungan; Eli Robinson; Ashesh Thaker; Robyn Gisbert; Kenneth A Weber; Jeffrey C Berliner; Stephanie R Albin
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-11-24

2.  MRI metrics at the epicenter of spinal cord injury are correlated with the stepping process in rhesus monkeys.

Authors:  Jia-Sheng Rao; Can Zhao; Shu-Sheng Bao; Ting Feng; Meng Xu
Journal:  Exp Anim       Date:  2021-11-16

3.  Acute Implantation of a Bioresorbable Polymer Scaffold in Patients With Complete Thoracic Spinal Cord Injury: 24-Month Follow-up From the INSPIRE Study.

Authors:  Kee D Kim; K Stuart Lee; Domagoj Coric; James S Harrop; Nicholas Theodore; Richard M Toselli
Journal:  Neurosurgery       Date:  2022-04-22       Impact factor: 5.315

4.  Brain morphology changes after spinal cord injury: A voxel-based meta-analysis.

Authors:  Haiyang Yu; Duanyong Chen; Hai Jiang; Guangtao Fu; Yuhui Yang; Zhantao Deng; Yuanfeng Chen; Qiujian Zheng
Journal:  Front Neurol       Date:  2022-09-01       Impact factor: 4.086

5.  Transcutaneous Electrical Spinal Cord Stimulation to Promote Recovery in Chronic Spinal Cord Injury.

Authors:  Candace Tefertiller; Meghan Rozwod; Eric VandeGriend; Patricia Bartelt; Mitch Sevigny; Andrew C Smith
Journal:  Front Rehabil Sci       Date:  2022-01-04

6.  Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury.

Authors:  Andrew C Smith; Denise R O'Dell; Stephanie R Albin; Jeffrey C Berliner; David Dungan; Eli Robinson; James M Elliott; Julio Carballido-Gamio; Jennifer Stevens-Lapsley; Kenneth A Weber
Journal:  Arch Phys Med Rehabil       Date:  2021-08-08       Impact factor: 3.966

Review 7.  Improving Diagnostic Workup Following Traumatic Spinal Cord Injury: Advances in Biomarkers.

Authors:  Simon Schading; Tim M Emmenegger; Patrick Freund
Journal:  Curr Neurol Neurosci Rep       Date:  2021-07-16       Impact factor: 5.081

  7 in total

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