Suppr超能文献

腰痛的症状-影像学相关性。

Symptom-imaging correlation in lumbar spine pain.

机构信息

Department of Radiology, Massachusetts General Hospital, 55 Fruit St, YAW 6030, Boston, MA, 02114, USA.

出版信息

Skeletal Radiol. 2023 Oct;52(10):1901-1909. doi: 10.1007/s00256-023-04305-8. Epub 2023 Mar 2.

Abstract

Lumbar spine MRI is associated with a high prevalence of morphological abnormalities in both symptomatic and asymptomatic individuals. A difficult challenge, therefore, is distinguishing the relevant findings causing symptoms from incidental findings. The accurate diagnosis of pain generator is important because misdiagnosis can negatively impact patient management and outcome. Spine physicians use clinical symptoms and signs to interpret lumbar spine MRI and make treatment decisions. Symptom-MRI correlation enables the targeted inspection of images for pain generator. Radiologists can also use clinical information to improve diagnostic confidence and the value of dictated reports. Because high-quality clinical information may be difficult to obtain, radiologists often generate lists of lumbar spine abnormalities that are otherwise difficult to rank as pain generators. Based on the literature review, this article attempts to distinguish the MRI abnormalities that may represent incidental findings from the abnormalities that are more commonly associated with lumbar spine-related symptoms.

摘要

腰椎磁共振成像(MRI)在有症状和无症状个体中均与形态异常的高发生率相关。因此,一项艰巨的挑战是区分引起症状的相关发现与偶然发现。准确诊断疼痛源头很重要,因为误诊可能会对患者的管理和结果产生负面影响。脊柱医生使用临床症状和体征来解读腰椎 MRI 并做出治疗决策。症状-MRI 相关性可实现针对疼痛源头的图像有针对性检查。放射科医生还可以使用临床信息来提高诊断信心和口述报告的价值。由于高质量的临床信息可能难以获得,放射科医生通常会生成腰椎异常列表,否则很难将其列为疼痛源头。基于文献复习,本文尝试区分可能代表偶然发现的 MRI 异常与更常见的与腰椎相关症状相关的异常。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验