清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT

医学 麦克内马尔试验 神经组阅片室 核医学 介入放射学 放射科 有效剂量(辐射) 神经学 精神科 统计 数学
作者
Tormund S. Njølstad,Kristin Jensen,Hilde Kjernlie Andersen,A. Berstad,Gaute Hagen,Cathrine Johansen,Kjetil Øye,Jan Glittum,Anniken Dybwad,Emma Thingstad,Marianne G. Guren,Johann Baptist Dormagen,Anselm Schulz
出处
期刊:European Radiology [Springer Science+Business Media]
标识
DOI:10.1007/s00330-025-11596-z
摘要

Abstract Objectives Deep learning reconstruction (DLR) has shown promising image denoising ability, but its radiation dose reduction potential remains unknown. The objective of this study was to investigate the diagnostic performance of DLR compared to iterative reconstruction (IR) in the detection of liver lesions at standard-dose and reduced-dose CT. Materials and methods Participants with known liver metastases from gastrointestinal and pancreatic adenocarcinoma were prospectively included from routine follow-up (October 2020 to March 2022). Participants received standard-dose CT and two additional reduced-dose scans during the same contrast administration, each reconstructed with IR and high-strength DLR. Two radiologists evaluated images for the presence of liver lesions, and a third established a reference standard. Diagnostic performance was compared using McNemar’s test and mixed effects logistic regression. Results Forty-four participants (mean age 66 years ± 11 [standard deviation], 28 men) were evaluated with 348 included liver lesions ≤ 20 mm (297 metastases, 51 benign; mean size 9.1 ± 4.3 mm). Mean volume CT dose index was 14.2, 7.8 mGy, and 5.1 mGy. Between algorithms, no significant difference in lesion detection was observed within dose levels. Detection of 233 lesions ≤ 10 mm was deteriorated with lower dose levels despite DLR denoising, with 185 detected at standard-dose IR (79.4%; 95% CI: 73.5–84.3) vs 128 at medium-dose DLR (54.9%; 95% CI: 48.3–61.4; p < 0.001) and 105 at low-dose DLR (45.1%; 95% CI: 38.6–51.7; p < 0.001). Conclusion Diagnostic performance for liver lesion detection was comparable between algorithms. When the detection of smaller lesions is important, DLR did not facilitate substantial dose reduction. Key Points Question Methods to reduce CT radiation dose are desirable in clinical practice, and DLR has shown promising image denoising capabilities . Findings Liver lesion detection was comparable for DLR and IR across dose levels, but detection of smaller lesions deteriorated with lower dose levels . Clinical relevance Although potent in image noise reduction, the diagnostic performance of DLR is comparable to IR at standard-dose and reduced-dose CT. Care must be taken in pursuit of dose reduction when the detection and characterization of smaller liver lesions are of clinical importance . Graphical Abstract
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
27秒前
HR112完成签到 ,获得积分10
50秒前
旅程完成签到 ,获得积分10
1分钟前
www完成签到 ,获得积分10
1分钟前
lingling完成签到 ,获得积分10
1分钟前
bzdjsmw完成签到 ,获得积分10
1分钟前
研友_n2JMKn完成签到 ,获得积分10
1分钟前
王磊完成签到 ,获得积分10
2分钟前
习月阳完成签到,获得积分10
2分钟前
lzxbarry完成签到,获得积分0
3分钟前
3分钟前
随机子发布了新的文献求助10
3分钟前
3分钟前
稻子完成签到 ,获得积分10
3分钟前
yana发布了新的文献求助10
3分钟前
yana完成签到,获得积分10
4分钟前
4分钟前
冯柳旭发布了新的文献求助10
4分钟前
ww完成签到,获得积分10
4分钟前
冯柳旭完成签到,获得积分10
4分钟前
4分钟前
wumumu发布了新的文献求助10
4分钟前
wumumu完成签到,获得积分10
5分钟前
5分钟前
俏皮的半夏完成签到 ,获得积分10
5分钟前
浚稚完成签到 ,获得积分10
5分钟前
linuo完成签到,获得积分10
6分钟前
毓雅完成签到,获得积分10
6分钟前
Air完成签到 ,获得积分10
7分钟前
李歪歪完成签到 ,获得积分10
7分钟前
muriel完成签到,获得积分10
7分钟前
通科研完成签到 ,获得积分10
8分钟前
幻梦如歌完成签到,获得积分10
8分钟前
幻梦如歌发布了新的文献求助10
9分钟前
9分钟前
呆呆的猕猴桃完成签到 ,获得积分10
9分钟前
10分钟前
11分钟前
大熊发布了新的文献求助10
11分钟前
胖小羊完成签到 ,获得积分10
11分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Density Functional Theory: A Practical Introduction, 2nd Edition 840
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3749970
求助须知:如何正确求助?哪些是违规求助? 3293224
关于积分的说明 10080128
捐赠科研通 3008612
什么是DOI,文献DOI怎么找? 1652302
邀请新用户注册赠送积分活动 787340
科研通“疑难数据库(出版商)”最低求助积分说明 752096