Naralan Muhammed Enes, Köse Taha Emre, Gonca Merve, Beşer Gül Büşra, Günaçar Dilara Nil
Department of Oral and Dentomaxillofacial Radiology, Faculty of Dentistry, Recep Tayyip Erdoğan University, Rize 53000, Türkiye.
Department of Orthodontics, Faculty of Dentistry, Eskisehir Osmangazi University, Eskisehir, 26040, Türkiye.
Dentomaxillofac Radiol. 2025 Jul 1;54(5):350-356. doi: 10.1093/dmfr/twaf023.
This study aimed to evaluate the accuracy of airway volume measurements obtained from cone beam computed tomography (CBCT) images using various software programmes, with a focus on assessing the performance of NemoStudio compared to other tools. The estimated volumes were compared with the volume of the solid model's cavity filled with water (gold standard).
A single 3D-printed airway model was created based on CBCT data and scanned 10 times under identical conditions. Volume measurements were performed using semi-automatic segmentation in 4 software programmes (NemoStudio, NNT Viewer, ITK-SNAP, and 3D Slicer). The results were compared to the gold standard using repeated measures analysis of variance, Bland-Altman plots, and post hoc comparisons.
Nemo Studio demonstrated a systematic bias and higher variability compared to the gold standard, resulting in lower accuracy than the other software programmes. ITK-SNAP and 3D Slicer showed the highest agreement with the gold standard, while NNT Viewer also exhibited acceptable performance. Statistical analyses revealed significant differences in the accuracy of volume measurements among the software tools (P < .001). Bland-Altman plots highlighted Nemo Studio's broader limits of agreement, emphasizing its deviation from the gold standard.
Variability in airway volume measurement accuracy underscores the need for careful software selection and methodological standardization. Further refinement of segmentation algorithms is essential for improved consistency and reliability in clinical applications.
This study provides the first evaluation of NemoStudio's volumetric accuracy for CBCT-based airway measurements, offering novel insights into software reliability and the impact of algorithm selection in clinical and academic settings.
本研究旨在评估使用各种软件程序从锥形束计算机断层扫描（CBCT）图像获得的气道容积测量的准确性，重点是评估NemoStudio与其他工具相比的性能。将估计的容积与填充有水的实体模型腔的容积（金标准）进行比较。
基于CBCT数据创建单个3D打印气道模型，并在相同条件下扫描10次。使用4种软件程序（NemoStudio、NNT Viewer、ITK-SNAP和3D Slicer）中的半自动分割进行容积测量。使用重复测量方差分析、Bland-Altman图和事后比较将结果与金标准进行比较。
与金标准相比，Nemo Studio表现出系统偏差和更高的变异性，导致其准确性低于其他软件程序。ITK-SNAP和3D Slicer与金标准的一致性最高，而NNT Viewer也表现出可接受的性能。统计分析显示软件工具之间的容积测量准确性存在显著差异（P <.001）。Bland-Altman图突出了Nemo Studio更宽的一致性界限，强调了其与金标准的偏差。
气道容积测量准确性的变异性强调了仔细选择软件和方法标准化的必要性。进一步改进分割算法对于提高临床应用中的一致性和可靠性至关重要。
本研究首次评估了NemoStudio在基于CBCT的气道测量中的容积准确性，为软件可靠性以及算法选择在临床和学术环境中的影响提供了新的见解。
