Acta neurochirurgica. Supplement · 2018
Significant Association of Slow Vasogenic ICP Waves with Normal Pressure Hydrocephalus Diagnosis.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Spiegelberg Andreas, Krause Matthias, Meixensberger Juergen, Seifert Burkhardt, Kurtcuoglu Vartan
Аннотация
OBJECTIVE: We aimed to test whether there is an association of slow vasogenic wave (SVW) occurrence with positive response to external lumbar drainage (ELD) and ventriculoperitoneal shunting and to design a method for the recognition and quantification of SVWs in the intracranial pressure (ICP) signal.
MATERIALS AND METHODS: We constructed SVW templates using normalized sine waves. We calculated the cross-correlation between the respective SVW template and the ICP signal. This was followed by shifting the templates forward and performing the cross-correlation analysis again until the end of the recording. Cross-correlation values above a threshold were considered to be indicative of SVWs. This threshold was previously determined and validated on a sample of ICP records of six patients. We calculated the root mean square of the recognized SVW periods as a measure of signal strength. Time-averaged signal strength was calculated over the full recording time (ICPSmean) and over the wave periods (ICPS).
RESULTS: We determined ICPS and ICPSmean in recordings of 2 groups of patients presenting with Hakim's triad: 26 normal pressure hydrocephalus (NPH) patients and 20 non-NPH patients. We then tested whether there was an association between ICPS or ICPSmean and the respective diagnosis using a Mann-Whitney test. We found significant association between ICPS (p = 0.014) and ICPSmean (p = 0.022) and the diagnoses.
CONCLUSIONS: The described method based on pattern recognition in the time domain is suitable for the detection and quantification of SVWs in ICP signals. We found a significant association between the occurrence of SVWs and independent NPH diagnosis.
MATERIALS AND METHODS: We constructed SVW templates using normalized sine waves. We calculated the cross-correlation between the respective SVW template and the ICP signal. This was followed by shifting the templates forward and performing the cross-correlation analysis again until the end of the recording. Cross-correlation values above a threshold were considered to be indicative of SVWs. This threshold was previously determined and validated on a sample of ICP records of six patients. We calculated the root mean square of the recognized SVW periods as a measure of signal strength. Time-averaged signal strength was calculated over the full recording time (ICPSmean) and over the wave periods (ICPS).
RESULTS: We determined ICPS and ICPSmean in recordings of 2 groups of patients presenting with Hakim's triad: 26 normal pressure hydrocephalus (NPH) patients and 20 non-NPH patients. We then tested whether there was an association between ICPS or ICPSmean and the respective diagnosis using a Mann-Whitney test. We found significant association between ICPS (p = 0.014) and ICPSmean (p = 0.022) and the diagnoses.
CONCLUSIONS: The described method based on pattern recognition in the time domain is suitable for the detection and quantification of SVWs in ICP signals. We found a significant association between the occurrence of SVWs and independent NPH diagnosis.