Detrusor overactivity assessment using ultrasound bladder vibrometry.

Detrusor overactivity assessment using ultrasound bladder vibrometry.
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DOI:
10.1088/1361-6579/ac2c5c
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发表时间:
2021-10-29
影响因子:
3.2
通讯作者:
Fatemi M
Fatemi M
中科院分区:
工程技术3区
文献类型:
--
作者:
Rosen DP;Husmann DA;Mynderse LA;Kelly TF Jr;Alizad A;Fatemi M

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逼尿肌过度活动(DO)是一种尿动力学观察,其特征在于膀胱逼尿肌压力(Pdet)的波动。虽然检测DO对于膀胱症状的管理很重要,但尿动力学检查(UDS)的侵入性使其成为患者不适和发病的来源。超声膀胱振动仪(UBV)可以提供一个直接的和非侵入性的手段来检测DO,由于其敏感性的变化,在膀胱壁的弹性和负载。在这项研究中,我们探讨了UBV检测DO的可行性和应用。收集76例神经源性膀胱患者(23例伴有DO)的UBV和尿动力学检查(UDS)。从UBV测量中收集带时间戳的群速度平方(cg2)数据系列。同时对Pdet数据系列进行了相同的分析,以进行比较和验证。一种处理方法的开发,以分离的数据序列中的瞬态波动从较大的趋势的数据和DO指数,提出了用于表征在数据中观察到的瞬态峰值。应用DO指数作为DO分类器产生的敏感性和特异性分别为0.70和0.75的CG2数据系列和0.70和0.83的Pdet数据系列。结果发现,DO可以可行地检测从数据系列的时间戳UBV测量。总的来说,这些初步结果是有希望的,进一步完善UBV测量过程可能会提高和澄清其非侵入性检测DO的能力。
Detrusor overactivity (DO) is a urodynamic observation characterized by fluctuations in detrusor pressure (Pdet) of the bladder. Although detecting DO is important for the management of bladder symptoms, the invasive nature of urodynamic studies (UDS) makes it a source of discomfort and morbidity for patients. Ultrasound bladder vibrometry (UBV) could provide a direct and noninvasive means of detecting DO, due to its sensitivity to changes in elasticity and load in the bladder wall. In this study, we investigated the feasibility and applying UBV toward detecting DO. UBV and urodynamic study (UDS) measurements were collected in 76 neurogenic bladder patients (23 with DO). Timestamped group velocity squared (cg2) data series were collected from UBV measurements. Concurrent Pdet data series were identically analyzed for comparison and validation. A processing approach is developed to separate transient fluctuations in the data series from the larger trend of the data and a DO index is proposed for characterizing the transient peaks observed in the data. Applying the DO index as a classifier for DO produced sensitivities and specificities of 0.70 and 0.75 for cg2 data series and 0.70 and 0.83 for Pdet data series respectively. It was found that DO can be feasibly detected from data series of timestamped UBV measurements. Collectively, these initial results are promising, and further refinement to the UBV measurement process is likely to improve and clarify its capabilities for noninvasive detection of DO.
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