Evaluation of HASTE T2 weighted image with reduced echo time for detecting focal liver lesions in patients at risk of developing hepatocellular carcinoma

医学 肝细胞癌 磁共振成像 放射科 图像质量 核医学 病变 快速自旋回波 内科学 图像(数学) 病理 人工智能 计算机科学
作者
Seungchul Han,Jeong Min Lee,Se Woo Kim,Sungeun Park,Dominik Nickel,Jeong Hee Yoon
出处
期刊:European Journal of Radiology [Elsevier]
卷期号:157: 110588-110588 被引量:8
标识
DOI:10.1016/j.ejrad.2022.110588
摘要

To compare the image quality and performance of half-Fourier acquisition single-shot turbo spin echo (HASTE) sequences, using compressed sensing (HASTE-CS) and deep-learning based reconstruction (HASTE-DL) in detecting focal liver lesions (FLLs), to those of T2-weighted image using BLADE sequence (T2WI) in patients at risk of developing hepatocellular carcinoma (HCC).This retrospective study included patients at risk of developing HCC who underwent liver MRI including HASTE-DL, HASTE-CS, T2WI and DWI between January and June 2020. Three radiologists independently reviewed the image quality along with FLL detection in the three T2-based sequences and DWI. Reference lesion characterization was done using the complete set of MRI sequences according to the Liver Imaging Reporting and Data System (LI-RADS) v2018.A total of 227 patients with 88 of whom had FLLs (n = 194, mean size 11.7 ± 10.9 mm) were included. HASTE-DL yielded the highest overall image quality, followed by HASTE-CS and T2WI (3.4 ± 0.5, 3.1 ± 0.6, 2.4 ± 0.5, respectively, P < 0.001 for all). In the detection of FLLs, HASTE-DL showed significantly higher sensitivity than T2WI (51.5 % vs 43.6 %, P = 0.007) whereas HASTE-CS and T2WI bore respectively little difference (P > 0.017) on per-patient basis. For LR-4, -5, -M lesions, HASTE-DL had significantly higher figure of merit than that of T2WI (0.58 vs 0.52, P < 0.001) in per-lesion basis.HASTE-DL demonstrated better image quality and higher performance for FLL detection than conventional T2WI in patients at risk of developing HCC.

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
琪qi完成签到,获得积分10
2秒前
小迪完成签到,获得积分10
3秒前
3秒前
5秒前
6秒前
6秒前
菠萝橙子完成签到,获得积分10
6秒前
SciGPT应助骤雨红尘采纳,获得10
7秒前
小二郎应助快乐的晟睿采纳,获得10
7秒前
无花果应助直率凌柏采纳,获得10
8秒前
科研通AI6.2应助典雅巧凡采纳,获得10
8秒前
9秒前
水晶完成签到,获得积分10
10秒前
10秒前
11秒前
米花发布了新的文献求助10
11秒前
12秒前
12秒前
12秒前
李健应助flysky120采纳,获得10
12秒前
13秒前
科研通AI6.3应助wei采纳,获得10
13秒前
14秒前
蜗牛发布了新的文献求助10
15秒前
狂野迎海完成签到 ,获得积分10
15秒前
小琥同学发布了新的文献求助10
16秒前
今后应助yyy采纳,获得10
16秒前
自觉元风发布了新的文献求助10
17秒前
17秒前
Linda发布了新的文献求助10
18秒前
彭于晏应助Shinewei采纳,获得10
18秒前
19秒前
20秒前
人类组织相容性完成签到,获得积分10
21秒前
22秒前
22秒前
kafm完成签到,获得积分10
22秒前
mark完成签到,获得积分10
22秒前
aloha01完成签到,获得积分10
23秒前
张朔发布了新的文献求助10
23秒前
高分求助中
(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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6019772
求助须知:如何正确求助?哪些是违规求助? 7614944
关于积分的说明 16163093
捐赠科研通 5167540
什么是DOI,文献DOI怎么找? 2765662
邀请新用户注册赠送积分活动 1747539
关于科研通互助平台的介绍 1635688