Advances in Pancreatic Imaging: The Expanding Role of Dual-Energy CT in Clinical Diagnosis: A Comprehensive Review

医学 急性胰腺炎 放射科 胰腺炎 计算机断层摄影术 叙述性评论 胰腺癌 医学物理学 癌症 重症监护医学 外科 内科学
作者
Mohammadhossein Ghasempourabadi,Hazel O’Neill,Nicolas Murray,Alison Harris
出处
期刊:Canadian Association of Radiologists journal [SAGE Publishing]
卷期号:77 (1): 160-170 被引量:1
标识
DOI:10.1177/08465371251352840
摘要

Dual-energy computed tomography has become a pivotal tool in abdominal imaging, particularly for pancreatic pathologies such as pancreatic ductal adenocarcinoma, trauma assessment, and acute pancreatitis. Its ability to provide enhanced contrast resolution, reduce artifacts, and optimize radiation dose makes it invaluable in both acute and non-acute clinical settings. This narrative review summarizes the technological advancements and clinical applications of dual-energy computed tomography in pancreatic imaging. A comprehensive review of 21 peer-reviewed studies published between 2013 and 2024 was conducted to evaluate the role of dual-energy computed tomography in all pancreatic imaging indications, including tumor detection, pancreatitis assessment, trauma evaluation, and radiation dose optimization. The analysis included retrospective and prospective studies retrieved from multiple databases, including PubMed, Scopus, and Google Scholar. The findings highlight the technology's capacity to improve diagnostic accuracy, reduce image artifacts, and lower radiation exposure through techniques such as virtual monoenergetic imaging and iodine quantification. Comparisons with conventional computed tomography focused on diagnostic performance metrics such as contrast-to-noise ratio, and signal-to-noise ratio. Additionally, this narrative review underscores the clinical relevance of dual-energy computed tomography in evaluating non-traumatic acute abdominal conditions, especially among elderly patients.
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
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
陌上发布了新的文献求助10
1秒前
1秒前
2秒前
MBLee发布了新的文献求助10
2秒前
小周完成签到,获得积分10
2秒前
hep完成签到,获得积分10
2秒前
2秒前
SJD完成签到,获得积分0
2秒前
潇湘发布了新的文献求助10
3秒前
Mrshi完成签到 ,获得积分20
3秒前
3秒前
4秒前
orixero应助Breeze采纳,获得10
6秒前
6秒前
6秒前
6秒前
yuanyuan完成签到,获得积分10
6秒前
轻松凌柏发布了新的文献求助10
7秒前
7秒前
aajhajkahna应助monica采纳,获得10
7秒前
cgl155410完成签到,获得积分10
7秒前
馒头完成签到,获得积分10
8秒前
七野发布了新的文献求助10
9秒前
小马甲应助科研通管家采纳,获得10
9秒前
丘比特应助科研通管家采纳,获得10
9秒前
天天快乐应助科研通管家采纳,获得10
10秒前
10秒前
Owen应助科研通管家采纳,获得10
10秒前
科研通AI2S应助wjwless采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
10秒前
顾矜应助科研通管家采纳,获得10
10秒前
快乐水发布了新的文献求助10
10秒前
共享精神应助科研通管家采纳,获得10
10秒前
10秒前
烟花应助科研通管家采纳,获得10
11秒前
科研通AI2S应助冷酷的夜雪采纳,获得10
11秒前
Jonas应助科研通管家采纳,获得10
11秒前
Hello应助科研通管家采纳,获得10
11秒前
11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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7774394
求助须知:如何正确求助?哪些是违规求助? 9316463
关于积分的说明 20350941
捐赠科研通 7360400
什么是DOI,文献DOI怎么找? 3317536
关于科研通互助平台的介绍 2465932
邀请新用户注册赠送积分活动 2332773