Grün Pascal, Hatamikia Sepideh, Lakes Tim, Schneider Benedikt, Pfaffeneder-Mantai Florian, Fitzek Sebastian, von See Constantin, Turhani Dritan
Center for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Steiner Landstraße 124, 3500 Krems an der Donau, Austria; Clinical Application of Artificial Intelligence in Dentistry (CAAID) Group, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Steiner Landstraße 124, 3500 Krems an der Donau, Austria.
Research Center for Clinical AI-Research in Omics and Medical Data Science (CAROM), Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, Steiner Landstraße 124, 3500 Krems an der Donau, Austria; Austrian Center for Medical Innovation and Technology, Viktor Kaplan-Straße 2/1, 2700 Wiener Neustadt, Austria.
J Stomatol Oral Maxillofac Surg. 2025 Sep;126(4S):102221. doi: 10.1016/j.jormas.2025.102221. Epub 2025 Jan 4.
Precise volumetric measurement of newly formed bone after maxillary sinus floor augmentation (MSFA) can help clinicians in planning for dental implants. This study aimed to introduce a novel modular framework to facilitate volumetric calculations based on manually drawn segmentations of user-defined areas of interest on cone-beam computed tomography (CBCT) images MATERIAL & METHODS: Two interconnected networks for manual segmentation of a defined volume of interest and dental implant volume calculation, respectively, were used in parallel. The volume data of dental implant manufacturers were used for reference. The efficacy of this framework was demonstrated through practical applications for collecting CBCT data from patients after MSFA with the same quantity of two different bovine-derived bone substitutes: xenohybrid composite bone (Group I, n = 10) and hydroxyapatite (Group II, n = 10). The study was approved by the central Ethical Review Board of the federal state of Lower Austria (approval number: GS4-EK-4/451-2021). The volumes were measured immediately (T1) and 6 months (T2) after MSFA and before insertion of the dental implant. All measurements were analyzed for inter- and intravariability. P-values of >0.05 were obtained from the t-test analysis RESULTS: The manual delineation of Group II (n = 10) was easier than that of Group I (n = 10) due to the visual contrast of the CBCT scan. The mean volume was 861.65 ± 290.02 mm³ at T1 and 875.9 ± 288.96 mm³ at T2. This shows a moderate dispersion around the mean value, which indicates variability of the analyzed data DISCUSSION: The proposed network may be useful for the development of computer-based diagnostic systems for assessing the success of MSFA with bone replacement materials. The volumetric stability achieved with the two bone replacement materials were comparable.
上颌窦底提升术（MSFA）后新形成骨的精确容积测量有助于临床医生进行牙种植体植入规划。本研究旨在引入一种新颖的模块化框架，以促进基于锥形束计算机断层扫描（CBCT）图像上用户定义感兴趣区域的手动绘制分割进行容积计算。材料与方法：分别使用两个相互连接的网络，并行进行定义感兴趣体积的手动分割和牙种植体体积计算。使用牙种植体制造商的体积数据作为参考。通过实际应用验证该框架的有效性，这些实际应用是收集接受MSFA治疗后使用相同数量的两种不同牛源骨替代材料的患者的CBCT数据：异种混合复合骨（第一组，n = 10）和羟基磷灰石（第二组，n = 10）。该研究获得了奥地利下奥地利州中央伦理审查委员会的批准（批准号：GS4-EK-4/451-2021）。在MSFA后立即（T1）、6个月后（T2）以及植入牙种植体之前测量体积。对所有测量值进行组间和组内变异性分析。t检验分析得到的P值>0.05。结果：由于CBCT扫描的视觉对比度，第二组（n = 10）的手动勾勒比第一组（n = 10）更容易。T1时平均体积为861.65±290.02mm³，T2时为875.9±288.96mm³。这表明平均值周围存在适度离散，表明分析数据存在变异性。讨论：所提出的网络可能有助于开发基于计算机的诊断系统，以评估使用骨替代材料的MSFA的成功率。两种骨替代材料实现的容积稳定性相当。
