Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis

医学 到期 肺纤维化 肺功能测试 接收机工作特性 纤维化 放射科 囊性纤维化 核医学 内科学 心脏病学 病理 呼吸系统
作者
Guillaume Chassagnon,Charlotte Martin,Rafael Marini,Maria Vakalopolou,Alexis Régent,Luc Mouthon,Nikos Paragios,Marie‐Pierre Revel
出处
期刊:Radiology [Radiological Society of North America]
卷期号:291 (2): 487-492 被引量:21
标识
DOI:10.1148/radiol.2019182099
摘要

Background Current imaging methods are not sensitive to changes in pulmonary function resulting from fibrosis. MRI with ultrashort echo time can be used to image the lung parenchyma and lung motion. Purpose To evaluate elastic registration of inspiratory-to-expiratory lung MRI for the assessment of pulmonary fibrosis in study participants with systemic sclerosis (SSc). Materials and Methods This prospective study was performed from September 2017 to March 2018 and recruited healthy volunteers and participants with SSc and high-resolution CT (within the previous 3 months) of the chest for lung MRI. Two breath-hold, coronal, three-dimensional, ultrashort-echo-time, gradient-echo sequences of the lungs were acquired after full inspiration and expiration with a 3.0-T unit. Images were registered from inspiration to expiration by using an elastic registration algorithm. Jacobian determinants were calculated from deformation fields and represented on color maps. Similarity between areas with marked shrinkage and logarithm of Jacobian determinants less than -0.15 were compared between healthy volunteers and study participants with SSc. Receiver operating characteristic curve analysis was performed to determine the best Dice similarity coefficient threshold for diagnosis of fibrosis. Results Sixteen participants with SSc (seven with pulmonary fibrosis at high-resolution CT) and 11 healthy volunteers were evaluated. Areas of marked shrinkage during expiration with logarithm of Jacobian determinants less than -0.15 were found in the posterior lung bases of healthy volunteers and in participants with SSc without fibrosis, but not in participants with fibrosis. The sensitivity and specificity of MRI for presence of fibrosis at high-resolution CT were 86% and 75%, respectively (area under the curve, 0.81; P = .04) by using a threshold of 0.36 for Dice similarity coefficient. Conclusion Elastic registration of inspiratory-to-expiratory MRI shows less lung base respiratory deformation in study participants with systemic sclerosis-related pulmonary fibrosis compared with participants without fibrosis. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Biederer in this issue.

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
归仔发布了新的文献求助10
1秒前
wf完成签到,获得积分0
1秒前
shanshan3000发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
针不戳发布了新的文献求助20
5秒前
花开富贵完成签到,获得积分10
6秒前
优雅的水桃完成签到 ,获得积分10
7秒前
小白完成签到,获得积分10
7秒前
lululucy发布了新的文献求助10
7秒前
之后再说咯完成签到,获得积分10
8秒前
偏偏海完成签到,获得积分10
8秒前
彩色大碗完成签到,获得积分10
9秒前
欣喜冷卉完成签到,获得积分10
14秒前
catank完成签到,获得积分10
15秒前
罗鸯鸯发布了新的文献求助10
15秒前
17秒前
xmh556完成签到 ,获得积分10
17秒前
jj完成签到,获得积分10
17秒前
18秒前
新星完成签到,获得积分10
21秒前
LinglongCai完成签到 ,获得积分10
22秒前
大模型应助YM采纳,获得10
23秒前
23秒前
Puddingo完成签到,获得积分10
23秒前
忧心的香水完成签到,获得积分10
24秒前
隐形曼青应助gaterina采纳,获得10
26秒前
27秒前
科研通AI6.4应助lululucy采纳,获得30
28秒前
研友_Lk9zzZ完成签到,获得积分10
28秒前
徐先生完成签到,获得积分10
29秒前
冷酷的傲安完成签到 ,获得积分10
30秒前
30秒前
摸鱼校尉完成签到,获得积分0
30秒前
尹妮妮发布了新的文献求助10
30秒前
31秒前
li完成签到,获得积分10
31秒前
呜呼啦呼完成签到 ,获得积分10
33秒前
陈sir完成签到 ,获得积分10
34秒前
高分求助中
Psychopathic Traits and Quality of Prison Life 1000
Chemistry and Physics of Carbon Volume 18 800
The formation of Australian attitudes towards China, 1918-1941 660
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
全相对论原子结构与含时波包动力学的理论研究--清华大学 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 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 6451376
求助须知:如何正确求助?哪些是违规求助? 8263329
关于积分的说明 17607439
捐赠科研通 5516185
什么是DOI,文献DOI怎么找? 2903669
邀请新用户注册赠送积分活动 1880634
关于科研通互助平台的介绍 1722651