Enhanced objective quantitative cystometric analysis of compliance and contractility

收缩性 医学 顺从(心理学)
作者
Edward F. Wahl,Tuija T. Lahdes-Vasama,Bernard M. Churchill
出处
期刊:BJUI [Wiley]
卷期号:94 (7): 1105-1111 被引量:2
标识
DOI:10.1111/j.1464-410x.2004.05112.x
摘要

OBJECTIVE To show, for pressure-time data from cystometrography (CMG), the potential practical clinical application of automatically identified, displayed, analysed and quantified compliance and contractility, as undesirable high-pressure detrusor storage may be caused by inefficient compliance or uninhibited contractions (UNC). MATERIAL AND METHODS Bladder contractility was measured by UNC and compliance by relaxed-state detrusor pressure (RSDP), i.e. the detrusor (bladder-abdominal) pressure with all UNC removed. Forty-one CMG examinations were used retrospectively to: (i) validate the separation and identification, by comparing the resulting separate graphs (data) of UNC and RSDP with an expanded time scale for raw vesical and rectal data; (ii) show that the separation is correct by examples; and (iii) show the potential practical utility by results for typical cases. RESULTS Separation into RSDP and UNC was correctly identified and plotted. The examples showed the utility and four types of UNC (‘high’, contractions of >25 cmH2O of long duration; ‘medium’, >25 cmH2O of short duration; ‘low’, 4–25 cmH2O of short duration; and ‘frequent’, of 2–6 cmH2O). CONCLUSIONS UNCs as small as 2 cmH2O can be detected and measured. The explicit enhanced estimate of compliance and contractility will be useful in the follow-up when comparing different patients and studies, and assist in more appropriate diagnosis and treatment. Because the treatment for bladders with poor contractility differs greatly from those with detrusor instability, the ability to reliably and accurately differentiate between these causes is important.

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
childe发布了新的文献求助10
刚刚
xieyangyu发布了新的文献求助10
1秒前
蓝天发布了新的文献求助10
1秒前
2秒前
L1完成签到,获得积分10
2秒前
2秒前
朝闻道完成签到 ,获得积分10
3秒前
4秒前
蒋建国完成签到,获得积分10
5秒前
hui发布了新的文献求助10
7秒前
wodke完成签到,获得积分10
7秒前
当时的发布了新的文献求助10
7秒前
hh完成签到 ,获得积分10
8秒前
小黄瓜896发布了新的文献求助10
9秒前
9秒前
山梦完成签到 ,获得积分10
10秒前
英姑应助美好斓采纳,获得10
10秒前
13秒前
Ruan_zzz完成签到 ,获得积分10
13秒前
15秒前
量子星尘发布了新的文献求助10
15秒前
yangching完成签到,获得积分10
16秒前
17秒前
梦璃完成签到 ,获得积分10
17秒前
17秒前
18秒前
ere发布了新的文献求助10
19秒前
ZZ_star完成签到,获得积分10
19秒前
sjy完成签到,获得积分20
20秒前
在水一方应助李健春采纳,获得10
21秒前
苏桑焉完成签到 ,获得积分10
21秒前
美好斓发布了新的文献求助10
22秒前
23秒前
sjy发布了新的文献求助10
24秒前
24秒前
人生若只如初见关注了科研通微信公众号
26秒前
xuxuh1989完成签到 ,获得积分10
26秒前
ju龙哥完成签到,获得积分10
26秒前
安静的幻儿完成签到,获得积分10
26秒前
胖胖不胖胖完成签到,获得积分10
26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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Peptide Synthesis_Methods and Protocols 400
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5603615
求助须知:如何正确求助?哪些是违规求助? 4688619
关于积分的说明 14855047
捐赠科研通 4694226
什么是DOI,文献DOI怎么找? 2540896
邀请新用户注册赠送积分活动 1507124
关于科研通互助平台的介绍 1471806