IMAGE GUIDED ENDOVASCULAR EMBOLIZATION OF CRANIAL TUMORS
影像引导颅内肿瘤血管内栓塞术
基本信息
- 批准号:6102489
- 负责人:
- 金额:$ 24.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1999
- 资助国家:美国
- 起止时间:1999-04-29 至 2000-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The purpose of this proposal is to develop faster, safer methods of
endovascular embolization of cranial tumors by intraoperative tracking
and display of the catheter within a three-dimensional (3D), tree-based
map of the patient's vasculature.
Endovascular surgery of the cranial vasculature is difficult.
Intraoperatively, the interventionalist threads his catheter through a
complex vascular tree, guided only by x-ray angiography (angiography).
Puffs of contrast medium are injected through the catheter, highlighting
on projection view a local region of a vascular tree. No 3D information
is available. Instead, the clinician uses only 2D projections, monitors
catheter advancement almost continuously, and frequently changes the
angle of view in the attempt to visualize 3D anatomy. The procedure is
therefore lengthy, requires multiple angiograms, and commonly results
in an hour or more of radiation exposure to the patient.
This proposal aims to reduce the difficulty of the procedure and the
immense radiation exposure delivered to the patient by allowing the
interventionalist to interpret each 2D, intraoperative angiogram within
a 3D context.
There are 3 specific aims:
a) To create a 3D, tree-based map of each patient's vascular anatomy.
This map may be created from segmented MRA data alone or may include the
additional detail provided by reconstructing preoperative angiographic
data into 3D.
b) To create a preoperative planning environment, in which the clinician
may view a tree-based description of the vasculature from any
interactively selected angle of view and in relationship to the target
tumor. One or more optimal catheter pathways may be selected and saved
for later intraoperative use. The program will run on standard hardware
and under a common operating system, allowing study of the vasculature
on readily available computers or at home.
c) To register the 3D vascular map with each intraoperative angiogram,
allowing the interventionalist to visualize, in 3D, t he position of the
catheter within the proper subtree. Both the location of the tumor and
a preselected optimal catheter pathway will also be shown in 3D. Each
2D angiogram can thus be interpreted within its 3D context, diminishing
the difficulty of the procedure, the number of angiograms required, and
the patient's radiation exposure and contrast load.
We include a prospective, randomized, controlled clinical trial of the
efficacy of our methods in both reducing radiation exposure to the
patient and in providing more effective embolization.
The methods to be developed are immediately applicable to tumor
embolization and chemotherapy delivery anywhere in the body. They are
also applicable to many thousands of other endovascular procedures
preformed each year.
该提案的目的是开发更快,更安全的方法,
颅内肿瘤术中追踪血管内栓塞治疗
以及在三维(3D)、基于树的
病人的血管系统图
颅内血管的血管内手术是困难的。
在手术中,介入医生将导管穿过
复杂的血管树,仅由x射线血管造影术(血管造影术)引导。
通过导管注入造影剂,突出显示
在投影视图上是脉管树的局部区域。 无3D信息
服务器租用-美国服务租用 相反,临床医生仅使用2D投影、监视器
导管推进几乎是连续的,并经常改变
在尝试可视化3D解剖结构中的视角。该过程
因此耗时长,需要多次血管造影,
在一小时或更长时间的辐射照射下。
这项建议旨在减少程序的难度,
巨大的辐射暴露传递给病人,
介入医生解释每个2D术中血管造影片,
一个3D的环境。
有三个具体目标:
a)创建每个患者的血管解剖结构的3D、基于树的图。
该图可以单独从分割的MRA数据创建,或者可以包括
通过重建术前血管造影提供的额外细节
数据转换为3D。
B)创建术前规划环境,其中临床医生
可以从任何一个视图查看脉管系统的基于树的描述
交互选择视角并与目标相关
肿瘤 可以选择并保存一个或多个最佳导管路径
以便以后术中使用。 该程序将在标准硬件上运行
在一个共同的操作系统下,
在现成的电脑上或在家里。
c)为了将3D血管图与每个术中血管造影片配准,
允许介入医生在3D中可视化,
正确子树内的导管。 肿瘤的位置和
预选的最佳导管路径也将以3D示出。 每个
因此,可以在其3D背景内解释2D血管造影照片,从而减少
手术的难度、所需的血管造影次数,以及
患者的辐射暴露和造影剂负荷。
我们纳入了一项前瞻性、随机、对照的临床试验,
我们的方法在减少辐射暴露于
患者和提供更有效的栓塞。
待开发的方法可立即应用于肿瘤
栓塞和化疗输送到身体的任何地方。 他们是
也适用于成千上万的其它血管内手术
每一年都在上演。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Elizabeth Bullitt其他文献
Elizabeth Bullitt的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Elizabeth Bullitt', 18)}}的其他基金
IMAGE GUIDED ENDOVASCULAR EMBOLIZATION OF CRANIAL TUMORS
影像引导颅内肿瘤血管内栓塞术
- 批准号:
6324637 - 财政年份:2000
- 资助金额:
$ 24.78万 - 项目类别:
相似海外基金
SBIR Phase II: Novel size-changing, gadolinium-free contrast agent for magnetic resonance angiography
SBIR II 期:用于磁共振血管造影的新型尺寸变化、无钆造影剂
- 批准号:
2322379 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Cooperative Agreement
ImproviNg rEnal outcomes following coronary angiograPhy and/or percuTaneoUs coroNary intErventions: a pragmatic, adaptive, patient-oriented randomized controlled trial
改善冠状动脉造影和/或经皮冠状动脉介入治疗后的肾脏结局:一项务实、适应性、以患者为导向的随机对照试验
- 批准号:
478732 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Operating Grants
Neonatal Optical Coherence Tomography Angiography to Assess the Effects of Postnatal Exposures on Retinal Development and Predict Neurodevelopmental Outcomes
新生儿光学相干断层扫描血管造影评估产后暴露对视网膜发育的影响并预测神经发育结果
- 批准号:
10588086 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Motion-Resistant Background Subtraction Angiography with Deep Learning: Real-Time, Edge Hardware Implementation and Product Development
具有深度学习的抗运动背景减影血管造影:实时、边缘硬件实施和产品开发
- 批准号:
10602275 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Highly Accelerated Magnetic Resonance Angiography using Deep Learning
使用深度学习的高加速磁共振血管造影
- 批准号:
2886357 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Studentship
Development of a method to simultaneously obtain cerebral blood flow information and progression of cerebral white matter lesions using head MR angiography.
开发一种使用头部磁共振血管造影同时获取脑血流信息和脑白质病变进展的方法。
- 批准号:
23K14839 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of a new diagnostic method for coronary artery disease using automated image analysis with postmortem coronary angiography CT
使用死后冠状动脉造影 CT 自动图像分析开发冠状动脉疾病的新诊断方法
- 批准号:
23K19795 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
Novel ultrahigh speed swept source OCT angiography methods in diabetic retinopathy
糖尿病视网膜病变的新型超高速扫源 OCT 血管造影方法
- 批准号:
10656644 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
Automated Machine Learning-Based Brain Artery Segmentation, Anatomical Prior Labeling, and Feature Extraction on MR Angiography
基于自动机器学习的脑动脉分割、解剖先验标记和 MR 血管造影特征提取
- 批准号:
10759721 - 财政年份:2023
- 资助金额:
$ 24.78万 - 项目类别:
SCH: A physics-informed machine learning approach to dynamic blood flow analysis from static subtraction computed tomographic angiography imaging
SCH:一种基于物理的机器学习方法,用于从静态减影计算机断层血管造影成像中进行动态血流分析
- 批准号:
2205265 - 财政年份:2022
- 资助金额:
$ 24.78万 - 项目类别:
Standard Grant