Schipper J, Klenzner T, Berlis A, Maier W, Offergeld C, Schramm A, Gellrich N-C
Universitätsklinik für Hals-, Nasen- und Ohrenheilkunde und Poliklinik, Universitätsklinikum Freiburg.
HNO. 2006 Sep;54(9):677-83. doi: 10.1007/s00106-005-1352-9.
Virtual model analysis of patient head tracking allows for objectivity and the monitoring of therapeutic results of pathologies in the skull base region. The introduction of these models in clinical routine has been impaired by the extended time needed for the preparation of radiological data.
Quality control analysis was carried out for seven cases with different pathological findings in the skull base region in patients who had undergone virtual model analysis.
Preparation time of radiological data for the process of segmentation required, under optimal conditions, a minimum of 30 min. Virtual model analysis enables spatial visualization of regions of interest and adjacent anatomical structures. This improves case-specific pathoanatomical understanding as well as preoperative planning of surgical strategies.
Virtual model analysis improves the physician's spatial comprehension of localized pathological findings at the dysmorphic interface of bone and soft tissue across the skull base. Therefore, it seems to be an adequate tool for quality control analysis of therapeutic results after extended skull base surgery.
患者头部追踪的虚拟模型分析有助于实现客观性，并监测颅底区域病变的治疗效果。放射学数据准备所需的时间较长，这阻碍了这些模型在临床常规中的应用。
对7例接受虚拟模型分析的颅底区域有不同病理表现的患者进行了质量控制分析。
在最佳条件下，分割过程所需放射学数据的准备时间最少为30分钟。虚拟模型分析能够对感兴趣区域和相邻解剖结构进行空间可视化。这有助于增强对特定病例病理解剖的理解，以及手术策略的术前规划。
虚拟模型分析提高了医生对颅底骨与软组织畸形界面处局部病理表现的空间理解。因此，它似乎是扩大性颅底手术后治疗效果质量控制分析的合适工具。
