Real-world study for identifying the predictive factors of surgical intervention and the value of magnetic resonance imaging in patients with low back pain

医学 列线图 磁共振成像 一致性 逻辑回归 队列 放射科 物理疗法 内科学
作者
Hui Wang,Chang Liu,Zhou Meng,Wenxian Zhou,Tao Chen,Kai Zhang,Aimin Wu
出处
期刊:Quantitative imaging in medicine and surgery [AME Publishing Company]
卷期号:12 (3): 1830-1843 被引量:3
标识
DOI:10.21037/qims-21-584
摘要

Low back pain (LBP) is a prevalent disease and can be disabling. Currently, many patients with LBP with or without radiculopathy commonly undergo magnetic resonance imaging (MRI) for diagnosis and therapeutic assessment, yet the final intervention is mainly centered around nonoperative treatment. This study's aim was to identify the predictive factors of surgical treatment and the value of MRI in patients with LBP with or without radiculopathy.The study included a training cohort that consisted of 461 patients with MRI from January 2014 to December 2018. Demographic characteristics and MRI findings were collected from our medical records. We developed and validated 2 nomograms to predict the possibility of receiving surgical treatment in LBP patients, based on multivariable logistic regression analysis. The performance of the 2 nomograms was assessed in terms of their calibration, discrimination, and clinical usefulness. An independent validation cohort containing 163 patients was comparatively analyzed.The baseline model incorporated 6 clinicopathological variables, while the MRI model consisted of 9 variables including several MRI findings. Internal validation revealed the good performance of the 2 nomograms in discrimination and calibration, with a concordance index (C-index) of 0.799 (95% CI: 0.743-0.855) for the baseline model and 0.834 (95% CI: 0.783-0.884) for the MRI model, which showed that the addition of MRI findings to the nomogram failed to achieve better prognostic value (Z statistic =-1.509; P=0.131). Application of the 2 models in the validation cohort also showed good discrimination (baseline model: C-index 0.75, 95% CI: 0.671-0.829; MRI model: C-index 0.777, 95% CI: 0.696-0.857) and calibration. No significant predictive benefit was found in the MRI model in the validation cohort (Z statistic =-0.588; P=0.557).This study showed that clinical demographic characteristics provide good prognostic value to determine whether LBP patients with or without radiculopathy require surgical treatment. The addition of MRI findings yielded no significantly incremental prognostic value.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
feng完成签到,获得积分10
刚刚
十八完成签到 ,获得积分10
刚刚
壮观采文应助李崮嵘采纳,获得10
1秒前
懵懂的飞飞完成签到,获得积分10
1秒前
Enma发布了新的文献求助10
1秒前
英俊的铭应助缥缈的凝海采纳,获得10
3秒前
beikou完成签到,获得积分10
4秒前
哭泣的猕猴桃完成签到,获得积分10
6秒前
7秒前
Ting5201完成签到,获得积分10
8秒前
务实的乐天完成签到,获得积分10
8秒前
平淡的博涛完成签到,获得积分10
8秒前
宋女士发布了新的文献求助10
9秒前
oaso完成签到,获得积分10
9秒前
科研通AI6应助gilderf采纳,获得10
9秒前
不想干活应助feng采纳,获得10
10秒前
MG_XSJ完成签到,获得积分10
11秒前
小郭子完成签到,获得积分10
13秒前
xxzztt发布了新的文献求助10
13秒前
我是老大应助ouou采纳,获得10
14秒前
tt发布了新的文献求助10
15秒前
16秒前
迷人的寄容完成签到,获得积分10
17秒前
Meyako应助张成协采纳,获得10
18秒前
加急发布了新的文献求助10
21秒前
nnmmuu完成签到,获得积分10
21秒前
隐形曼青应助迷人的寄容采纳,获得10
21秒前
陈同学完成签到 ,获得积分10
22秒前
22秒前
alanbike发布了新的文献求助10
23秒前
小巧幼蓉发布了新的文献求助10
23秒前
xgrr完成签到,获得积分10
24秒前
Yuki完成签到 ,获得积分10
24秒前
苹果柜子完成签到 ,获得积分10
24秒前
七仔完成签到,获得积分10
24秒前
24秒前
26秒前
jsxlh关注了科研通微信公众号
27秒前
完美世界应助fff采纳,获得10
27秒前
song123发布了新的文献求助10
28秒前
高分求助中
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
F-35B V2.0 How to build Kitty Hawk's F-35B Version 2.0 Model 2500
줄기세포 생물학 1000
The Netter Collection of Medical Illustrations: Digestive System, Volume 9, Part III - Liver, Biliary Tract, and Pancreas (3rd Edition) 600
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
2025-2031全球及中国蛋黄lgY抗体行业研究及十五五规划分析报告(2025-2031 Global and China Chicken lgY Antibody Industry Research and 15th Five Year Plan Analysis Report) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4475074
求助须知:如何正确求助?哪些是违规求助? 3933600
关于积分的说明 12204480
捐赠科研通 3588199
什么是DOI,文献DOI怎么找? 1972758
邀请新用户注册赠送积分活动 1010479
科研通“疑难数据库(出版商)”最低求助积分说明 904080