Multi–Detector Row Helical CT in Preoperative Assessment of Small (≤1.5 cm) Liver Metastases: Is Thinner Collimation Better?

医学 准直光 核医学 病变 放射科 断层摄影术 螺旋CT 显著性差异 计算机断层摄影术 病理 光学 内科学 物理 激光器
作者
Masoom A. Haider,Marianne Michal Amitai,Daniel Rappaport,Martin O’Malley,Anthony Hanbidge,Mark Redston,Gina Lockwood,Steven Gallinger
出处
期刊:Radiology [Radiological Society of North America]
卷期号:225 (1): 137-142 被引量:123
标识
DOI:10.1148/radiol.2251011225
摘要

To determine the value of collimations less than 5 mm in detecting hepatic metastases 1.5 cm or smaller by using multi-detector row helical computed tomography (CT).Thirty-one patients underwent contrast material-enhanced multi-detector row helical CT before hepatic resection in this prospective study. Images were reconstructed at collimations of 5.00, 3.75, and 2.50 mm with 50% overlap and reviewed independently by three radiologists. Each lesion was characterized as metastatic, benign, or equivocal and graded for conspicuity. Criterion standards were pathologic assessment of the resected liver and follow-up of the nonresected liver. Only lesions 1.5 cm or smaller were analyzed.There were a total of 88 liver lesions 1.5 cm or smaller, and 25 of these were metastases. Pooled sensitivity for all lesions improved with thinner collimation (66% [58 of 88 lesions], 69% [61 of 88], and 82% [72 of 88] at collimations of 5.00, 3.75, and 2.50 mm, respectively), and this was statistically significant (P =.01). However, no significant difference was noted between collimations in the pooled sensitivity for metastatic lesions (80% [20 of 25 lesions] at all collimations) (P >.99). No statistical difference was noted in the conspicuity of lesions at different collimations (P =.18).Image reconstruction with multi-detector row helical CT at collimations less than 5 mm may not improve sensitivity in the detection of hepatic metastases 1.5 cm or smaller.
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
何处芳歇完成签到,获得积分10
刚刚
刚刚
LXYang完成签到,获得积分10
刚刚
刚刚
LL完成签到,获得积分10
刚刚
1秒前
1秒前
十月发布了新的文献求助20
2秒前
2秒前
针地很不戳完成签到,获得积分10
2秒前
3秒前
奋斗金连完成签到,获得积分10
3秒前
科研菜鸟完成签到,获得积分10
3秒前
圈圈发布了新的文献求助10
4秒前
zhanglh完成签到 ,获得积分10
4秒前
4秒前
Liu完成签到,获得积分10
4秒前
啊大大哇完成签到,获得积分10
4秒前
一平驳回了HEIKU应助
5秒前
5秒前
草莓奶昔完成签到 ,获得积分10
5秒前
cyx发布了新的文献求助10
5秒前
6秒前
littleJ完成签到,获得积分10
6秒前
Yolo发布了新的文献求助10
6秒前
阿尔法发布了新的文献求助10
7秒前
科研菜鸟发布了新的文献求助10
7秒前
Liu发布了新的文献求助10
7秒前
鱼跃完成签到,获得积分10
8秒前
烟花应助Ricardo采纳,获得10
9秒前
zsh完成签到,获得积分20
9秒前
共享精神应助青wu采纳,获得10
9秒前
9秒前
搜集达人应助十月采纳,获得10
10秒前
慕青应助十月采纳,获得10
10秒前
上官若男应助十月采纳,获得10
10秒前
平淡的亦丝应助十月采纳,获得20
10秒前
11秒前
香蕉擎完成签到 ,获得积分10
11秒前
正常兔子完成签到,获得积分10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678