已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Prospective Comparison of Standard and Deep Learning–reconstructed Turbo Spin-Echo MRI of the Shoulder

医学 图像质量 威尔科克森符号秩检验 前瞻性队列研究 核医学 肩膀 快速自旋回波 磁共振成像 置信区间 放射科 外科 曼惠特尼U检验 人工智能 内科学 计算机科学 图像(数学)
作者
Yuxue Xie,Hongyue Tao,Xiangwen Li,Yiwen Hu,Changyan Liu,B H Zhou,Jiajie Cai,Dominik Nickel,Caixia Fu,Bo Xiong,S F Chen
出处
期刊:Radiology [Radiological Society of North America]
卷期号:310 (1): e231405-e231405 被引量:21
标识
DOI:10.1148/radiol.231405
摘要

Background Deep learning (DL)-based MRI reconstructions can reduce imaging times for turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based reconstructions of rapidly acquired, undersampled MRI in the shoulder are lacking. Purpose To compare the acquisition time, image quality, and diagnostic confidence of DL-reconstructed TSE (TSEDL) with standard TSE in patients indicated for shoulder MRI. Materials and Methods This prospective single-center study included consecutive adult patients with various shoulder abnormalities who were clinically referred for shoulder MRI between February and March 2023. Each participant underwent standard TSE MRI (proton density- and T1-weighted imaging; conventional TSE sequence was used as reference for comparison), followed by a prospectively undersampled accelerated TSEDL examination. Six musculoskeletal radiologists evaluated images using a four-point Likert scale (1, poor; 4, excellent) for overall image quality, perceived signal-to-noise ratio, sharpness, artifacts, and diagnostic confidence. The frequency of major pathologic features and acquisition times were also compared between the acquisition protocols. The intergroup comparisons were performed using the Wilcoxon signed rank test. Results Overall, 135 shoulders in 133 participants were evaluated (mean age, 47.9 years ± 17.1 [SD]; 73 female participants). The median acquisition time of the TSEDL protocol was lower than that of the standard TSE protocol (288 seconds [IQR, 288-288 seconds] vs 926 seconds [IQR, 926-950 seconds], respectively; P < .001), achieving a 69% lower acquisition time. TSEDL images were given higher scores for overall image quality, perceived signal-to-noise ratio, and artifacts (all P < .001). Similar frequency of pathologic features (P = .48 to > .99), sharpness (P = .06), or diagnostic confidence (P = .05) were noted between images from the two protocols. Conclusion In a clinical setting, TSEDL led to reduced examination time and higher image quality with similar diagnostic confidence compared with standard TSE MRI in the shoulder. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Chang and Chow in this issue.
最长约 10秒,即可获得该文献文件

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
Shueason完成签到,获得积分10
1秒前
2秒前
芹菜完成签到 ,获得积分10
2秒前
XUNAN完成签到 ,获得积分10
3秒前
星辰大海应助隐形的烧鹅采纳,获得10
3秒前
3秒前
科研通AI6应助小阿发采纳,获得10
4秒前
可乐鲨鱼翅关注了科研通微信公众号
8秒前
8秒前
8秒前
欣慰立轩发布了新的文献求助10
8秒前
lwl完成签到,获得积分10
8秒前
wuyaRY发布了新的文献求助10
9秒前
今后应助毅诚菌采纳,获得10
9秒前
10秒前
黎明发布了新的文献求助10
12秒前
13秒前
朱建军发布了新的文献求助10
13秒前
14秒前
maher应助lll采纳,获得10
15秒前
15秒前
15秒前
跳跳虎发布了新的文献求助30
16秒前
虚心的绝施完成签到 ,获得积分10
17秒前
17秒前
顺心牛排完成签到,获得积分10
20秒前
tczw667完成签到,获得积分10
20秒前
21秒前
zhangyueyue完成签到,获得积分10
23秒前
24秒前
复杂曼梅完成签到,获得积分10
25秒前
25秒前
26秒前
26秒前
科研通AI2S应助lll采纳,获得10
27秒前
复杂曼梅发布了新的文献求助10
28秒前
桔子树发布了新的文献求助10
28秒前
30秒前
31秒前
月半发布了新的文献求助10
34秒前
高分求助中
Aerospace Standards Index - 2025 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
Video: Lagrangian coherent structures in the flow field of a fluidic oscillator 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Teaching Language in Context (Third Edition) 1000
List of 1,091 Public Pension Profiles by Region 961
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5449335
求助须知:如何正确求助?哪些是违规求助? 4557480
关于积分的说明 14263727
捐赠科研通 4480534
什么是DOI,文献DOI怎么找? 2454469
邀请新用户注册赠送积分活动 1445212
关于科研通互助平台的介绍 1421016