Magnetic Resonance Imaging as a Valid Noninvasive Tool for the Assessment of Pancreatic Fibrosis

磁共振成像 医学 放射科 核磁共振 物理
作者
Edita Bieliūnienė,Jens Brøndum Frøkjær,Alius Pockevičius,Jūratė Kemėšienė,Saulius Lukoševičius,Algidas Basevičius,Giedrius Barauskas,Žilvinas Dambrauskas,Antanas Gulbinas
出处
期刊:Pancreas [Ovid Technologies (Wolters Kluwer)]
卷期号:48 (1): 85-93 被引量:26
标识
DOI:10.1097/mpa.0000000000001206
摘要

Objectives The aim of this study was to evaluate the utility of magnetic resonance imaging (MRI) for the noninvasive assessment of pancreatic fibrosis (PF). Methods Fifty-two patients who underwent surgical resection of the pancreas, histological examination of resection margins, preoperative abdominal MRI, and fecal elastase-1 test were enrolled in the study. Pancreatic tissue was identified on the MRI T1-, T2-, and diffusion-weighted imaging sequences. Apparent diffusion coefficient (ADC) was measured at the expected resection margin of the pancreas. Results There was a significant negative correlation between the ADC mean and histologically determined PF ( r = −0.752, P = 0.001). For equal to or greater than 25% of PF, the ADC cutoff value was 1.331 or less, with a sensitivity of 77% and specificity of 88%. The unenhanced T1-weighted signal intensity ratio (T1SI) cutoff value was 172.1 or less. For equal to or greater than 50% of PF, the ADC cutoff value was 1.316 or less with a sensitivity of 85% and specificity of 88%. The highest sensitivity was obtained by combining ADC and T1SI values. Conclusions Combining both the ADC and T1SI measurement allows the detection of early PF with good sensitivity and specificity. Magnetic resonance imaging has the advantage of being noninvasive and widely used in the clinical setting, thus making our results easily transferable to routine clinical practice.
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
叶帆发布了新的文献求助10
1秒前
天思发布了新的文献求助10
1秒前
littlequiet完成签到,获得积分10
1秒前
Mrmiss666完成签到,获得积分10
2秒前
2秒前
2秒前
菠菜驳回了tianhe应助
3秒前
淡然的铭完成签到,获得积分10
3秒前
4秒前
量子星尘发布了新的文献求助10
4秒前
浮游应助完美的映秋采纳,获得10
4秒前
bertrand发布了新的文献求助40
4秒前
4秒前
sxl发布了新的文献求助10
5秒前
小雨完成签到,获得积分10
5秒前
科研通AI2S应助酷酷的半凡采纳,获得10
5秒前
wanci应助科研小王采纳,获得10
5秒前
研友_VZG7GZ应助202211010668采纳,获得10
5秒前
5秒前
6秒前
学习完成签到,获得积分10
6秒前
6秒前
纯真的晓啸完成签到,获得积分10
6秒前
大豌豆完成签到,获得积分20
7秒前
7秒前
顾矜应助12334采纳,获得10
7秒前
8秒前
脑洞疼应助无限符号采纳,获得10
8秒前
科研通AI6应助呆萌的毛衣采纳,获得10
8秒前
8秒前
科研通AI6应助牛牛小天使采纳,获得10
8秒前
8秒前
香蕉觅云应助苏黎世采纳,获得10
8秒前
aaaaa12346完成签到,获得积分10
9秒前
熠紋应助nana采纳,获得10
9秒前
烟花应助执着从筠采纳,获得10
9秒前
大神瓜完成签到,获得积分10
9秒前
哎呀完成签到,获得积分10
10秒前
11秒前
学习发布了新的文献求助10
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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
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 5505994
求助须知:如何正确求助?哪些是违规求助? 4601482
关于积分的说明 14476730
捐赠科研通 4535445
什么是DOI,文献DOI怎么找? 2485408
邀请新用户注册赠送积分活动 1468357
关于科研通互助平台的介绍 1440869