Xiangdong Wan, Yan Chen, Xueke Zhen, Ziqian Yan, Ziyi Liu, Tianxu Pang, Erwei Zhang, Zhenzeng Fan, Lijun Yang
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引用次数: 0
Abstract
This study systematically compares various methods for calculating brainstem hematoma volume, and introduces a novel estimation method based on the maximum cross-sectional area. First, we assessed the accuracy of the Tada formula and 3D Slicer software for quantifying brainstem hematomas of different sizes and morphologies. The results revealed significant differences among methods, with the traditional Tada formula frequently overestimating hematoma volumes. We therefore propose an improved algorithm that substantially increases both the accuracy and reliability of hematoma volume assessment. Experimental results demonstrate that this new method provides greater precision and consistency when measuring the volume of irregular hematomas. These findings not only contribute to improved diagnosis and treatment of brainstem hemorrhage but also provide valuable support for future research and practical applications.
期刊介绍：
Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.
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