Disabilities resulting from traumatic brain injury (TBI) strongly correlate with the cytoarchitectonic part of the brain damaged, lesion area, and type of lesion. We developed a Web application to estimate the location of the lesion on mouse cerebral cortex caused by TBI induced by lateral fluid-percussion injury. The application unfolds user-determined TBI lesion measurements, e.g., from histologic sections to a reference template, and estimates the total lesion area, including the percentage of cortex damaged in different cytoarchitectural cortical regions. The resulting lesion can be visualized on a two-dimensional map of mouse cerebral cortex. The application also visualizes the development of the lesion over time when measurements from multiple time points are available. The web application was validated by comparing its performance to the manual method. The total area of the cortical lesion was similar between the manual (9.19 ± 0.66 mm², range 4.25–14.93 mm²) and the automated analysis (9.27 ± 0.66 mm², range 4.50–15.10 mm²) (p = 0.938). The results of the manual and automated analyses were strongly correlated (r = 0.999, p < 0.0001, Pearson correlation). The lesion localized in the same cytoarchitectonic regions when the unfolded map from the automated method was superimposed onto the map obtained using the manual method. The Web application-automated method is faster than the manual method in generating unfolded cortical lesion maps. The accuracy of the presented automated method in determining the anteroposterior level and outlining the lesion is equal to or greater than that of the manual method. Our application provides a novel tool for accurately quantifying and visualizing TBI lesions on mouse cerebral cortex.

中文翻译：

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用于量化成年小鼠创伤性脑损伤诱发的皮层病变的Web应用程序。

外伤性脑损伤（TBI）导致的残疾与大脑受损的细胞结构部分，病变区域和病变类型密切相关。我们开发了一个Web应用程序，以估计由侧向流体冲击损伤引起的TBI引起的小鼠大脑皮层病变的位置。该应用程序可进行用户确定的TBI病变测量，例如从组织学切片到参考模板，并估算总病变面积，包括在不同的细胞结构皮质区域中受损的皮质百分比。可以在小鼠大脑皮层的二维地图上可视化所产生的病变。当可以从多个时间点进行测量时，该应用程序还可视化病变随时间的发展。通过将Web应用程序的性能与手动方法进行比较来验证该Web应用程序。手册中，皮层病变的总面积相似（9.19±0.66 mm²，范围为4.25–14.93 mm ²）和自动分析（9.27±0.66 mm ²，范围为4.50–15.10 mm ²）（p  = 0.938）。手动和自动分析的结果高度相关（r = 0.999，p <0.0001，皮尔逊相关）。当将来自自动方法的未折叠图叠加到使用手动方法获得的图上时，病变位于相同的细胞结构区域。在生成展开的皮层病变图时，Web应用程序自动方法比手动方法更快。所提出的自动化方法在确定前后水平和概述病变的准确性上等于或大于手动方法。我们的应用程序提供了一种新颖的工具，可以准确地量化和可视化小鼠大脑皮层上的TBI损伤。