Computer-Aided Fracture Size Measurement in Orbital Fractures—An Alternative to Manual Evaluation

Saloniemi, Mikko; Lehtinen, Valtteri; Snäll, Johanna

doi:10.1177/1943387520962691

Cited by 5 publications

(7 citation statements)

References 22 publications

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“…The results of our CT study showed that the height and the width of the left orbit and the height of the right orbit were significantly higher in Roma examinees, whereas the width of the right orbit was not statistically different between the ethnicities. The obtained results for these parameters were similar to the findings of previous CT studies conducted in Turkish and Indian populations [3,9,22]. The sex differences in anatomy of the orbital cavity were confirmed by various studies, with male orbits being significantly larger than female [9,11,16,23].…”

Section: Discussionsupporting

confidence: 88%

Differences in anthropometric measures of the orbit between Serbian and Roma populations of the Central Serbia

et al. 2022

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Introduction/Objectives. The shape and size of the orbital cavity are important parameters in planning surgical interventions and have significance in anthropology and forensic medicine. The aim of this study was to determine the morphometric characteristics of orbital cavity in Serbian population and to examine if there are differences in examined parameters between Serbs and the Roma ethnic group of Serbia. Methods. Using computer tomography and subsequent multiplanar reconstruction we analyzed orbits from 76 Serbian and 18 Roma healthy volunteers. There was no significant difference in age between the ethnicities. Results. The height and width of the left orbit and the height of the right orbit were significantly higher in Roma group, whereas the width of the right orbit was not statistically different between ethnicities. Orbital indices, however, for both left and right orbit did not significantly differ between Serbian and Roma examinees. Right orbital volume did not differ between the groups, but left orbits had significantly larger volumes in Roma population. Finally, biorbital and interorbital width were both significantly higher in Roma than in Serbian examinees. We could not show differences between sexes except for the biorbital width, which had lower values in Serbian, but not Roma women than in men. Conclusion. Taken together, our results indicate larger orbits, as well as greater distances between the eyes in Roma than in Serbian examinees.

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Section: Discussionsupporting

confidence: 88%

Differences in anthropometric measures of the orbit between Serbian and Roma populations of the Central Serbia

et al. 2022

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“…The studies included in this review reported varying levels of interobserver and intraobserver variability, with automatic methods generally demonstrating lower variability compared with manual and semiautomatic methods. For example, Saloniemi et al 6 (2021) compared interobserver and intraobserver variability among manual and computer-aided measurements in orbital fractures and found that the computer-aided method had lower variability. This finding suggests that automatic methods provide more consistent results and reduce discrepancies among observers.…”

Section: Resultsmentioning

confidence: 99%

“…Based on the review of the current literature, automatic methods, such as computer-aided measurements and CT-based volumetric analysis, seem to provide the highest accuracy and reliability for measuring blowout fracture areas. These methods can reduce the influence of human error and improve consistency among different observers 6,30–33 …”

Section: Discussionmentioning

confidence: 99%

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Evaluating the Accuracy and Reliability of Blowout Fracture Area Measurement Methods: A Review and the Potential Role of Artificial Intelligence

Kang

2023

Journal of Craniofacial Surgery

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Blowout fractures are a common type of facial injury that requires accurate measurement of the fracture area for proper treatment planning. This systematic review aimed to summarize and evaluate the current methods for measuring blowout fracture areas and explore the potential role of artificial intelligence (AI) in enhancing accuracy and reliability. A comprehensive search of the PubMed database was conducted, focusing on studies published since 2000 that investigated methods for measuring blowout fracture area using computed tomography scans. The review included 20 studies, and the results showed that automatic methods, such as computer-aided measurements and computed tomography-based volumetric analysis, provide higher accuracy and reliability compared with manual and semiautomatic techniques. Standardizing the method for measuring blowout fracture areas can improve clinical decision-making and facilitate outcome comparison across studies. Future research should focus on developing AI models that can account for multiple factors, including fracture area and herniated tissue volume, to enhance their accuracy and reliability. Integration of AI models has the potential to improve clinical decision-making and patient outcomes in the assessment and management of blowout fractures.

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“…This method has been used for orbital volume calculations. [10][11][12][13] Third, the resulting 3D models were saved in the cloud, and every individual anatomical structure was simplified to account for the processing power of current AR-HMDs, maintain optimal performance, and preserve all relevant anatomical details. Furthermore, visualization properties, such as color and transparency, were automatically optimized.…”

Section: Automatic Segmentation and Ar Workflowmentioning

confidence: 99%

Fully automatic brain tumor segmentation for 3D evaluation in augmented reality

Fick

Doormaal

Tosic

et al. 2021

Neurosurgical Focus

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OBJECTIVE For currently available augmented reality workflows, 3D models need to be created with manual or semiautomatic segmentation, which is a time-consuming process. The authors created an automatic segmentation algorithm that generates 3D models of skin, brain, ventricles, and contrast-enhancing tumor from a single T1-weighted MR sequence and embedded this model into an automatic workflow for 3D evaluation of anatomical structures with augmented reality in a cloud environment. In this study, the authors validate the accuracy and efficiency of this automatic segmentation algorithm for brain tumors and compared it with a manually segmented ground truth set. METHODS Fifty contrast-enhanced T1-weighted sequences of patients with contrast-enhancing lesions measuring at least 5 cm3 were included. All slices of the ground truth set were manually segmented. The same scans were subsequently run in the cloud environment for automatic segmentation. Segmentation times were recorded. The accuracy of the algorithm was compared with that of manual segmentation and evaluated in terms of Sørensen-Dice similarity coefficient (DSC), average symmetric surface distance (ASSD), and 95th percentile of Hausdorff distance (HD95). RESULTS The mean ± SD computation time of the automatic segmentation algorithm was 753 ± 128 seconds. The mean ± SD DSC was 0.868 ± 0.07, ASSD was 1.31 ± 0.63 mm, and HD95 was 4.80 ± 3.18 mm. Meningioma (mean 0.89 and median 0.92) showed greater DSC than metastasis (mean 0.84 and median 0.85). Automatic segmentation had greater accuracy for measuring DSC (mean 0.86 and median 0.87) and HD95 (mean 3.62 mm and median 3.11 mm) of supratentorial metastasis than those of infratentorial metastasis (mean 0.82 and median 0.81 for DSC; mean 5.26 mm and median 4.72 mm for HD95). CONCLUSIONS The automatic cloud-based segmentation algorithm is reliable, accurate, and fast enough to aid neurosurgeons in everyday clinical practice by providing 3D augmented reality visualization of contrast-enhancing intracranial lesions measuring at least 5 cm3. The next steps involve incorporation of other sequences and improving accuracy with 3D fine-tuning in order to expand the scope of augmented reality workflow.

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Computer-Aided Fracture Size Measurement in Orbital Fractures—An Alternative to Manual Evaluation

Cited by 5 publications

References 22 publications

Differences in anthropometric measures of the orbit between Serbian and Roma populations of the Central Serbia

Differences in anthropometric measures of the orbit between Serbian and Roma populations of the Central Serbia

Evaluating the Accuracy and Reliability of Blowout Fracture Area Measurement Methods: A Review and the Potential Role of Artificial Intelligence

Fully automatic brain tumor segmentation for 3D evaluation in augmented reality

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