The Efficient Calculation of Neurosurgically Relevant Volumes from Computed Tomographic Scans Using Cavalieri's Direct Estimator

医学 体积热力学 计算机断层摄影 核医学 估计员 脑积水 断层摄影术 计算机断层摄影术 放射科 数学 统计 量子力学 物理
作者
Richard E. Clatterbuck,Eric P. Sipos
出处
期刊:Neurosurgery [Lippincott Williams & Wilkins]
卷期号:40 (2): 339-343 被引量:81
标识
DOI:10.1097/00006123-199702000-00019
摘要

Because decision making in the daily practice of neurosurgery requires judgments about changes in the volume of spatially complex three-dimensional objects, we sought a simple, rapid, and accurate method for extracting this information from standard computed tomographic (CT) scans.Volume measurements were made by using a transparent template to overlay a grid of regularly-spaced points over CT scans of randomly selected patients with hydrocephalus or malignant gliomas. The volume of an object appearing on a scan is the product of the sum of points that fell on the object, the area associated with each point, and the distance between scan slices. This method is known as the Cavalieri Direct Estimator. We assessed the potential clinical applicability of this technique by measuring interobserver correlation for ventricular volume measurements in hydrocephalic patients, correlating brain tumor volume measurements with those obtained using the ISG Allegro system (ISG Technologies, Inc., Mississauga, Ontario) (a three-dimensional reconstruction software package), and measuring the time required for volumetric analyses.Tumor volume estimates using this method correlated highly (r = 0.999) with those made by the ISG Allegro System. Interobserver correlation for ventricular volume estimates was also high (r = 0.968). We found that the time required for application of this technique to CT scans ranged from 4 to 10 minutes.We conclude that the Cavalieri Direct Estimator can be easily applied to acquire volume measurements from standard CT scans and requires only a few minutes and no additional expense, making it ideal for daily use in clinical practice.

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
打打应助howay采纳,获得10
1秒前
感动向梦发布了新的文献求助10
1秒前
Jakie_W完成签到,获得积分10
2秒前
2秒前
研友_VZG7GZ应助zzh123采纳,获得10
5秒前
6秒前
8秒前
懦弱的乐蕊完成签到 ,获得积分10
8秒前
8秒前
LeonPan完成签到,获得积分10
8秒前
orixero应助biglixiang采纳,获得10
9秒前
徐xu发布了新的文献求助10
9秒前
张欣怡完成签到,获得积分10
9秒前
10秒前
12秒前
zzh123完成签到,获得积分10
12秒前
FashionBoy应助取名真烦采纳,获得10
14秒前
majuanwei发布了新的文献求助10
14秒前
MutantKitten发布了新的文献求助10
14秒前
NexusExplorer应助kingrain采纳,获得10
15秒前
vicco426完成签到,获得积分10
15秒前
zhangwenkang应助鸑鷟采纳,获得10
15秒前
缥缈土豆发布了新的文献求助30
15秒前
陌桑吖完成签到,获得积分10
16秒前
红领巾klj完成签到 ,获得积分10
16秒前
认真的皮皮虾完成签到 ,获得积分10
16秒前
小马甲应助代淑敏采纳,获得10
18秒前
田様应助长烟凌云采纳,获得10
18秒前
19秒前
22秒前
22秒前
ffw1发布了新的文献求助10
23秒前
zts发布了新的文献求助10
23秒前
大模型应助缥缈土豆采纳,获得10
23秒前
852应助科研通管家采纳,获得10
25秒前
Gauss应助科研通管家采纳,获得30
25秒前
英姑应助科研通管家采纳,获得10
25秒前
汉堡包应助科研通管家采纳,获得10
25秒前
完美世界应助科研通管家采纳,获得10
25秒前
科研通AI2S应助科研通管家采纳,获得10
25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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Handbook of Optical Systems,Volume 6:Advanced Physical Optics 666
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 6514777
求助须知:如何正确求助?哪些是违规求助? 8308186
关于积分的说明 17754941
捐赠科研通 5616589
什么是DOI,文献DOI怎么找? 2924751
邀请新用户注册赠送积分活动 1901762
关于科研通互助平台的介绍 1763125