Associations between radiographic spinal oa assessed using lane grading and spine shape characterised using statistical shape modelling in a British birht cohort

队列 医学 射线照相术 分级(工程) 口腔正畸科 队列研究 放射科 内科学 生物 生态学
作者
Anastasia Pavlova,I. Faliszewski,Fiona Saunders,Stella G. Muthuri,Rebecca Barr,Rebecca Hardy,Kathryn Martin,Diana Kuh,Richard M. Aspden,Rachel Cooper,Jennifer S. Gregory
出处
期刊:Osteoarthritis and Cartilage [Elsevier BV]
卷期号:26: S432-S433
标识
DOI:10.1016/j.joca.2018.02.835
摘要

Purpose: To investigate the associations between OA defined using Kellgren–Lawrence grading and hip shape characterised statistical shape modelling of hip DXA scans. Methods: Data were from the MRC National Survey of Health and Development, a British birth cohort born in March 1946. Between the ages of 60 and 64, n = 2856 (59% of the eligible cohort) were invited to attend a comprehensive health assessment at one of six clinical research facilities in England, Scotland and Wales, of which 1690 attended. Of these, 1601 individuals had a lumbar spine DXA scan, although 91 scans were subsequently excluded from analysis due to poor image quality leaving 1510 scans for statistical shape modelling. Scans were modelled using Shape software (University of Aberdeen). The model template consisted of 85 points and modelled T10 to L4 and the top edge of L5. Principal component analysis generated orthogonal modes of variation and in this study we included 10 modes of variation (86.5% of total variance). Images were graded using the system describe by Lane et al in 1993, with a grade of 0–3 for each vertebra and Total Lane Grade (TLG) was derived by summing the scores for all the vertebrae (T10-L4). A random sample was selected by SJW and was compared with grades previously assigned by an experienced reader (AVP). Inter-rater repeatability was determined using quadratic weighted Kappa scores in MedCalc v17.2. Correlations between age, sex, BMI, TLG and mode scores 1–10 were performed using Spearman’s rank test. One-way ANOVA with Tukey post-hoc analysis was used to assess the relationships between all spine modes (SM) [SM1] and TLG. All analyses were performed using SPSS v 23.0. [SM1]Mentions this earlier e.g. Correlations between age, sex, BMI, TLG and mode scores 1–10 were performed and spine modes associated with these factors were selected for subsequent analyses. Results: Quadratic weighted kappa scoring of repeatability between observers grading the images was good (kappa = 0.722). There were few cases of moderate or severe radiographic spinal OA identified in this cohort, with the majority of cases with a TLG of 7 or less. Most of the OA changes such as joint space narrowing and osteophytes (Lane grades 1–3) were observed in the lower lumbar vertebrae and 78% of the cohort was observed to have OA changes. TLG were lower in women and therefore more evidence of spinal OA was observed in the men. Spearman's rank correlations identified 5 modes of variation that were significantly associated with TLG - SM3, SM4, SM6, SM8 and SM9. One-way ANOVA analysis showed that SM2 (10% of total variation) was significantly negatively associated with TLG, demonstrated by a decrease in score with increasing TLG (P = 0.002; Fig 1a), although SM2 was not shown have significant associations with TLG in Spearman’s rank correlations. Negative SM2 scores describe a snaking curvature with lumbar lordosis and thoracic kyphosis centred on L1/T12 (Fig 1b). SM3 (8.6% of total variation) also showed a decrease in mode score with increasing MLG (Fig 1c), associated with greater relative anterior-posterior diameter of the vertebrae (P < 0.001; Fig 1d) as did SM4 (7.1% of total variation), which described a more S-shaped spine with greater rotation in the lower lumbar region and at T10 with smaller disc spaces caudally. Conclusions: Statistical shape modelling has demonstrated that there is a relationship between spine shape and spinal OA. In the NSHD there was limited evidence of radiographic spinal OA. There were several modes of variation identified that could be associated with features of OA in a relatively young cohort.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
过时的广山完成签到 ,获得积分10
1秒前
fy2001发布了新的文献求助10
1秒前
1秒前
我是老大应助热心小蕊采纳,获得10
2秒前
2秒前
隐形曼青应助redstone采纳,获得30
2秒前
11发布了新的文献求助10
3秒前
正直的夏瑶应助const采纳,获得50
3秒前
mc发布了新的文献求助10
4秒前
大模型应助创新小达人采纳,获得10
4秒前
5秒前
苦柒发布了新的文献求助10
6秒前
6秒前
烟味发布了新的文献求助10
7秒前
8秒前
Sunjz完成签到,获得积分10
9秒前
fy2001完成签到,获得积分10
10秒前
11秒前
11秒前
刘子完成签到 ,获得积分10
11秒前
刘清瑞给淡定的勒的求助进行了留言
11秒前
heartyi完成签到 ,获得积分10
12秒前
莫白完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
14秒前
AL1S完成签到,获得积分20
15秒前
15秒前
15秒前
15秒前
YuZhang完成签到,获得积分10
15秒前
15秒前
15秒前
徐风拂海棠完成签到 ,获得积分10
16秒前
小邢发布了新的文献求助10
16秒前
16秒前
Haoru_Lu应助布鲁采纳,获得10
16秒前
wuhengbin完成签到,获得积分10
17秒前
adobe完成签到,获得积分10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7287107
求助须知:如何正确求助?哪些是违规求助? 8907088
关于积分的说明 18849872
捐赠科研通 6956155
什么是DOI,文献DOI怎么找? 3208471
关于科研通互助平台的介绍 2378480
邀请新用户注册赠送积分活动 2184203