Literature DB >> 31715382

Relationship between lower lumbar spine shape and patient bone metabolic activity as characterised by 18F NaF bio-markers.

S Yeung1, A Toor2, G Deib3, J Zhang1, T Besier4, J Fernandez5.   

Abstract

Chronic lower lumbar pain has been associated with elevated bone metabolic activity in the spine. Diagnosis of bone metabolic activity is currently through integrating Positron Emission Tomography (PET) with Sodium Fluoride (18F-NaF) biomarkers. It has been reported that numerous observable pathologies including lumbar fusion, disc abnormalities and scoliosis have often been associated with increased 18F-NaF uptake. The aim of this study was to identify what features of lower lumbar shape most strongly correlate with 18F-NaF uptake. Following a principal component analysis of 23 patients who presented with lumbar pain and underwent 18F-NaF PET-CT, it was revealed that three modes interpreted as (i) sacral tilt, (ii) vertebral disc spacing and (iii) spine size were the three characteristics that described 88.7% of spine shape in our study population. 18F-NaF was described by two modes including 18F-NaF intensity and spatial variation (anterior-inferior to posterior-superior). 18F-NaF was most sensitive to sacral tilt followed by vertebral disc spacing. A predictive model derived from that spine population was able to predict 18F-NaF 'hot-spot' locations with 85 ± 5% accuracy and with 71 ± 3% accuracy for the 18F-NaF magnitude. These results suggest that patients reporting with lower lumbar pain and who present with increased sacral tilt profiles and/or reduced disc spacing are good candidates for further 18F-NaF PET-CT imaging, evidenced by the high association between those shape profiles and 18F-NaF uptake.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bone metabolic activity; Lower lumbar; Lower lumbar pathology; NaF PET-CT; Principal component analysis

Mesh:

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Year:  2019        PMID: 31715382     DOI: 10.1016/j.compbiomed.2019.103529

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  Lung and fissure shape is associated with age in healthy never-smoking adults aged 20-90 years.

Authors:  Mahyar Osanlouy; Alys R Clark; Haribalan Kumar; Clair King; Margaret L Wilsher; David G Milne; Ken Whyte; Eric A Hoffman; Merryn H Tawhai
Journal:  Sci Rep       Date:  2020-09-30       Impact factor: 4.379

  1 in total

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