Singh Maninder, Gupta Vishal, Gupta Rajeev, Kumar Basant, Agrawal Deepak
Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India.
Ciena Corporation, Gurugram, India.
Ultrason Imaging. 2024 Jan;46(1):29-40. doi: 10.1177/01617346231197593. Epub 2023 Sep 12.
The paper presents a novel framework for the prediction of the raised Intracranial Pressure (ICP) from ocular ultrasound images of traumatic patients through automated measurement of Optic Nerve Sheath Diameter (ONSD) and Eyeball Transverse Diameter (ETD). The measurement of ONSD using an ocular ultrasound scan is non-invasive and correlates with the raised ICP. However, the existing studies suggested that the ONSD value alone is insufficient to indicate the ICP condition. Since the ONSD and ETD values may vary among patients belonging to different ethnicity/origins, there is a need for developing an independent global biomarker for predicting raised ICP condition. The proposed work develops an automated framework for the prediction of raised ICP by developing algorithms for the automated measurement of ONSD and ETD values. It is established that the ONSD and ETD ratio (OER) is a potential biomarker for ICP prediction independent of ethnicity and origin. The OER threshold value is determined by performing statistical analysis on the data of 57 trauma patients obtained from the AIIMS, New Delhi. The automated OER is computed and compared with the conventionally measured ICP by determining suitable correlation coefficients. It is found that there is a significant correlation of OER with ICP ( = .81, ≤ .01), whereas the correlation of ONSD alone with ICP is relatively less ( = .69, = .004). These correlation values indicate that OER is a better parameter for the prediction of ICP. Further, the threshold value of OER is found to be 0.21 for predicting raised ICP conditions in this study. Scatter plot and Heat map analysis of OER and corresponding ICP reveal that patients with OER ≥ 0.21, have ICP in the range of 17 to 35 mm Hg. In the data available for this research work, OER ranges from 0.17 to 0.35.
本文提出了一种新颖的框架,通过自动测量视神经鞘直径(ONSD)和眼球横径(ETD),从创伤患者的眼部超声图像预测颅内压(ICP)升高情况。使用眼部超声扫描测量ONSD是非侵入性的,且与ICP升高相关。然而,现有研究表明,仅ONSD值不足以表明ICP状况。由于不同种族/出身的患者ONSD和ETD值可能不同,因此需要开发一种独立的全球生物标志物来预测ICP升高情况。所提出的工作通过开发用于自动测量ONSD和ETD值的算法,建立了一个用于预测ICP升高的自动框架。已确定ONSD与ETD比值(OER)是一种独立于种族和出身的ICP预测潜在生物标志物。通过对从新德里全印医学科学研究所获得的57例创伤患者的数据进行统计分析,确定了OER阈值。通过确定合适的相关系数,计算自动OER并与传统测量的ICP进行比较。发现OER与ICP有显著相关性(=0.81,≤0.01),而单独的ONSD与ICP的相关性相对较小(=0.69,=0.004)。这些相关值表明OER是预测ICP的更好参数。此外,在本研究中发现,预测ICP升高情况时OER的阈值为0.21。OER与相应ICP的散点图和热图分析表明,OER≥0.21的患者,其ICP在17至35毫米汞柱范围内。在本研究可用的数据中,OER范围为0.17至0.35。