Pseudonormal Corticomedullary Differentiation of the Kidney Assessed on T<sub>1</sub>-weighted Imaging for Chronic Kidney Disease Patients with Cirrhosis

医学 肝硬化 肾脏疾病 磁共振成像 内科学 胃肠病学 肾功能 慢性肝病 病理 放射科
作者
Fumi Yamada,Yasuo Amano,Fumitaka Hidaka,Yoshimitsu Fukushima,Shin‐ichiro Kumita
出处
期刊:Magnetic Resonance in Medical Sciences [Japan Society of Magnetic Resonance in Medicine]
卷期号:14 (3): 165-171 被引量:5
标识
DOI:10.2463/mrms.2014-0044
摘要

We investigated whether corticomedullary differentiation (CMD) increased to a pseudonormal appearance on T1-weighted magnetic resonance (MR) images in patients with chronic kidney disease (CKD) with cirrhosis compared with patients with CKD without chronic liver disease.We assessed CMD on T1-weighted MR images of 32 patients with CKD with liver cirrhosis and 32 age-matched patients with CKD without liver cirrhosis, grading CMD visualization as good, moderate, or poor. We calculated quantitative CMD by the ratio of the signal intensity of the cortex to that of the medulla.The proportions of patients in each of the good, moderate, and poor groups differed significantly between those with and without liver cirrhosis (P = 0.048). In patients with CKD with liver cirrhosis, the estimated glomerular filtration rate (eGFR) differed between those with poor CMD and those with good or moderate CMD (P < 0.01) but not between those with good and those with moderate CMD. In patients with CKD without cirrhosis, the eGFR differed significantly among the good, moderate, and poor CMD groups (P < 0.05). We observed no significant correlation between CMD and eGFR in patients with and without cirrhosis (P < 0.05, r = 0.62).CMD of the kidney had a pseudonormal appearance on T1-weighted MR imaging in patients with CKD with cirrhosis.

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
JNKNY发布了新的文献求助10
刚刚
汤翔完成签到,获得积分10
1秒前
2秒前
Owen应助潘雪晴采纳,获得10
2秒前
蠹鱼完成签到,获得积分10
4秒前
王昭完成签到 ,获得积分10
5秒前
ADChem_JH发布了新的文献求助10
5秒前
ys716发布了新的文献求助20
5秒前
壮观谷冬完成签到,获得积分10
6秒前
Rosemary绛绛完成签到 ,获得积分10
8秒前
一忽儿左完成签到 ,获得积分20
9秒前
桐桐应助ubu采纳,获得10
9秒前
10秒前
lulu1234完成签到,获得积分10
11秒前
天天小女孩完成签到 ,获得积分10
12秒前
Bioflying完成签到,获得积分10
12秒前
务实的胡萝卜完成签到 ,获得积分10
12秒前
zed320完成签到 ,获得积分10
12秒前
13秒前
FooLeup立仔完成签到,获得积分10
13秒前
张星星完成签到 ,获得积分10
13秒前
张欢馨应助淮Q采纳,获得10
14秒前
俏皮的老三完成签到 ,获得积分10
14秒前
15秒前
开心科研完成签到,获得积分10
16秒前
16秒前
15122303完成签到,获得积分10
16秒前
现代大神完成签到,获得积分10
16秒前
song发布了新的文献求助10
17秒前
17秒前
Juice完成签到,获得积分20
17秒前
所所应助研友_ZlPVzZ采纳,获得10
17秒前
han完成签到 ,获得积分10
18秒前
yt完成签到,获得积分10
18秒前
cking发布了新的文献求助10
19秒前
Swipda完成签到 ,获得积分10
19秒前
晴天不冷完成签到,获得积分10
19秒前
化学课die表完成签到 ,获得积分10
20秒前
Queen完成签到,获得积分10
20秒前
苏横完成签到,获得积分10
22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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362286
求助须知:如何正确求助?哪些是违规求助? 8176007
关于积分的说明 17224813
捐赠科研通 5416998
什么是DOI,文献DOI怎么找? 2866674
邀请新用户注册赠送积分活动 1843775
关于科研通互助平台的介绍 1691614