Purpose: To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times. Materials and Methods: ACAM was applied to spine radiographs in 411 patients suspected of scoliosis. Observer 1 (consensus of two musculoskeletal radiologists) and observer 2 (a radiology resident) measured Cobb angle (CA). CA measurements were categorized using observer 1’s measurements as the reference standard. Inter-observer reliability and correlation were assessed using intraclass correlation coefficient (ICC) and Spearman’s rank correlation coefficient, respectively. Accuracy and measurement time of ACAM and observers were evaluated. Results: ACAM demonstrated excellent reliability and very high correlation with observer 1 (ICC = 0.976, Spearman’s rank correlation = 0.948), with a mean CA difference of 1.1. Overall accuracy was high (88.2%), particularly in mild (92.2%) and moderate (96%) scoliosis. Accuracy was lower in spinal asymmetry (77.1%) and higher in severe scoliosis (95%), although the CA was lower compared to the observers. ACAM significantly reduced measurement time by nearly half compared to the observers (p < 0.001). Conclusion ACAM using CNN enhances CA measurement for assessing mild or moderate scoliosis, despite limitations in spinal asymmetry or severe scoliosis. Nonetheless, it substantially decreases measurement time.

Background and Objectives: This study aimed to comprehensively assess the factors influencing hearing ability in patients with vestibular schwannoma, focusing on tumor size, location, primary complaint, and contralateral hearing threshold.Subjects and Method This was a retrospective analysis of 50 patients diagnosed with vestibular schwannoma by magnetic resonance imaging (MRI) at Nowon Eulji Medical Center. Tumor size and location were evaluated using a 3-T MRI system, and pure-tone threshold and speech discrimination were retrieved. To investigate the relationship between tumor size and hearing, we conducted a multiple regression analysis with several variables, including tumor size, tumor location, patient age, and gender. Results: When patients were categorized into groups according to their primary complaint at initial presentation, no significant differences were observed in pure tone thresholds but different speech discrimination were detected among the groups. When patients were classified according to the tumor location, the extrameatal group exhibited lower pure-tone thresholds and higher speech discrimination scores than the intrameatal group. Multiple regression analysis indicated that differences in pure tone thresholds and speech discrimination scores between affected and unaffected sides were more pronounced in cases with smaller tumor sizes and extrameatal tumor locations, emphasizing the greater impact of location over size. Conclusion Using both tumor size and location, it is possible to predict the differences in pure-tone thresholds and speech discrimination between the affected and unaffected sides. Extrameatal invasion of the tumor appears to be the most important factor among them.

PURPOSE: This study aimed to compare the accuracy of an alternative scan path with that of traditional scan paths to obtain a more accurate method for complete arch scans. MATERIALS AND METHODS: A mandibular stone cast, including tooth preparations for the inlay, crown, and fixed prosthesis, was scanned 10 times using four different scan paths (A, B, C, and D). The scans were converted into stereolithography files, resized, and superimposed onto a control file obtained from a desktop scanner. The scan time, total surface deviation, and local deviation of the mandibular teeth were measured. One-way analysis of variance (ANOVA) and Welch ANOVA were used for statistical analyses (α = .05). The relative standard deviation and standard error of the mean were calculated to evaluate accuracy. RESULTS: The total surface deviation differed significantly according to the scanning path despite a similar scan time. Path D had the highest accuracy and the most uniform color maps, showing minimal deformation of the digital model. Meanwhile, no significant differences were found in the local deviations in the individual tooth assessments, likely owing to issues with the superimposition method. CONCLUSION Among all scan paths, the scan path with the shortest distance from the starting point to the end point showed the smallest total surface deviation and the highest accuracy. No differences were observed in the deviations of specific teeth based on the scan path.

Background and Objectives: This study aimed to comprehensively assess the factors influencing hearing ability in patients with vestibular schwannoma, focusing on tumor size, location, primary complaint, and contralateral hearing threshold.Subjects and Method This was a retrospective analysis of 50 patients diagnosed with vestibular schwannoma by magnetic resonance imaging (MRI) at Nowon Eulji Medical Center. Tumor size and location were evaluated using a 3-T MRI system, and pure-tone threshold and speech discrimination were retrieved. To investigate the relationship between tumor size and hearing, we conducted a multiple regression analysis with several variables, including tumor size, tumor location, patient age, and gender. Results: When patients were categorized into groups according to their primary complaint at initial presentation, no significant differences were observed in pure tone thresholds but different speech discrimination were detected among the groups. When patients were classified according to the tumor location, the extrameatal group exhibited lower pure-tone thresholds and higher speech discrimination scores than the intrameatal group. Multiple regression analysis indicated that differences in pure tone thresholds and speech discrimination scores between affected and unaffected sides were more pronounced in cases with smaller tumor sizes and extrameatal tumor locations, emphasizing the greater impact of location over size. Conclusion Using both tumor size and location, it is possible to predict the differences in pure-tone thresholds and speech discrimination between the affected and unaffected sides. Extrameatal invasion of the tumor appears to be the most important factor among them.

PURPOSE: This study aimed to compare the accuracy of an alternative scan path with that of traditional scan paths to obtain a more accurate method for complete arch scans. MATERIALS AND METHODS: A mandibular stone cast, including tooth preparations for the inlay, crown, and fixed prosthesis, was scanned 10 times using four different scan paths (A, B, C, and D). The scans were converted into stereolithography files, resized, and superimposed onto a control file obtained from a desktop scanner. The scan time, total surface deviation, and local deviation of the mandibular teeth were measured. One-way analysis of variance (ANOVA) and Welch ANOVA were used for statistical analyses (α = .05). The relative standard deviation and standard error of the mean were calculated to evaluate accuracy. RESULTS: The total surface deviation differed significantly according to the scanning path despite a similar scan time. Path D had the highest accuracy and the most uniform color maps, showing minimal deformation of the digital model. Meanwhile, no significant differences were found in the local deviations in the individual tooth assessments, likely owing to issues with the superimposition method. CONCLUSION Among all scan paths, the scan path with the shortest distance from the starting point to the end point showed the smallest total surface deviation and the highest accuracy. No differences were observed in the deviations of specific teeth based on the scan path.

Purpose: To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times. Materials and Methods: ACAM was applied to spine radiographs in 411 patients suspected of scoliosis. Observer 1 (consensus of two musculoskeletal radiologists) and observer 2 (a radiology resident) measured Cobb angle (CA). CA measurements were categorized using observer 1’s measurements as the reference standard. Inter-observer reliability and correlation were assessed using intraclass correlation coefficient (ICC) and Spearman’s rank correlation coefficient, respectively. Accuracy and measurement time of ACAM and observers were evaluated. Results: ACAM demonstrated excellent reliability and very high correlation with observer 1 (ICC = 0.976, Spearman’s rank correlation = 0.948), with a mean CA difference of 1.1. Overall accuracy was high (88.2%), particularly in mild (92.2%) and moderate (96%) scoliosis. Accuracy was lower in spinal asymmetry (77.1%) and higher in severe scoliosis (95%), although the CA was lower compared to the observers. ACAM significantly reduced measurement time by nearly half compared to the observers (p < 0.001). Conclusion ACAM using CNN enhances CA measurement for assessing mild or moderate scoliosis, despite limitations in spinal asymmetry or severe scoliosis. Nonetheless, it substantially decreases measurement time.

PURPOSE: This study aimed to compare the accuracy of an alternative scan path with that of traditional scan paths to obtain a more accurate method for complete arch scans. MATERIALS AND METHODS: A mandibular stone cast, including tooth preparations for the inlay, crown, and fixed prosthesis, was scanned 10 times using four different scan paths (A, B, C, and D). The scans were converted into stereolithography files, resized, and superimposed onto a control file obtained from a desktop scanner. The scan time, total surface deviation, and local deviation of the mandibular teeth were measured. One-way analysis of variance (ANOVA) and Welch ANOVA were used for statistical analyses (α = .05). The relative standard deviation and standard error of the mean were calculated to evaluate accuracy. RESULTS: The total surface deviation differed significantly according to the scanning path despite a similar scan time. Path D had the highest accuracy and the most uniform color maps, showing minimal deformation of the digital model. Meanwhile, no significant differences were found in the local deviations in the individual tooth assessments, likely owing to issues with the superimposition method. CONCLUSION Among all scan paths, the scan path with the shortest distance from the starting point to the end point showed the smallest total surface deviation and the highest accuracy. No differences were observed in the deviations of specific teeth based on the scan path.

Purpose: To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times. Materials and Methods: ACAM was applied to spine radiographs in 411 patients suspected of scoliosis. Observer 1 (consensus of two musculoskeletal radiologists) and observer 2 (a radiology resident) measured Cobb angle (CA). CA measurements were categorized using observer 1’s measurements as the reference standard. Inter-observer reliability and correlation were assessed using intraclass correlation coefficient (ICC) and Spearman’s rank correlation coefficient, respectively. Accuracy and measurement time of ACAM and observers were evaluated. Results: ACAM demonstrated excellent reliability and very high correlation with observer 1 (ICC = 0.976, Spearman’s rank correlation = 0.948), with a mean CA difference of 1.1. Overall accuracy was high (88.2%), particularly in mild (92.2%) and moderate (96%) scoliosis. Accuracy was lower in spinal asymmetry (77.1%) and higher in severe scoliosis (95%), although the CA was lower compared to the observers. ACAM significantly reduced measurement time by nearly half compared to the observers (p < 0.001). Conclusion ACAM using CNN enhances CA measurement for assessing mild or moderate scoliosis, despite limitations in spinal asymmetry or severe scoliosis. Nonetheless, it substantially decreases measurement time.

Background and Objectives: This study aimed to comprehensively assess the factors influencing hearing ability in patients with vestibular schwannoma, focusing on tumor size, location, primary complaint, and contralateral hearing threshold.Subjects and Method This was a retrospective analysis of 50 patients diagnosed with vestibular schwannoma by magnetic resonance imaging (MRI) at Nowon Eulji Medical Center. Tumor size and location were evaluated using a 3-T MRI system, and pure-tone threshold and speech discrimination were retrieved. To investigate the relationship between tumor size and hearing, we conducted a multiple regression analysis with several variables, including tumor size, tumor location, patient age, and gender. Results: When patients were categorized into groups according to their primary complaint at initial presentation, no significant differences were observed in pure tone thresholds but different speech discrimination were detected among the groups. When patients were classified according to the tumor location, the extrameatal group exhibited lower pure-tone thresholds and higher speech discrimination scores than the intrameatal group. Multiple regression analysis indicated that differences in pure tone thresholds and speech discrimination scores between affected and unaffected sides were more pronounced in cases with smaller tumor sizes and extrameatal tumor locations, emphasizing the greater impact of location over size. Conclusion Using both tumor size and location, it is possible to predict the differences in pure-tone thresholds and speech discrimination between the affected and unaffected sides. Extrameatal invasion of the tumor appears to be the most important factor among them.

PURPOSE: This study aimed to compare the accuracy of an alternative scan path with that of traditional scan paths to obtain a more accurate method for complete arch scans. MATERIALS AND METHODS: A mandibular stone cast, including tooth preparations for the inlay, crown, and fixed prosthesis, was scanned 10 times using four different scan paths (A, B, C, and D). The scans were converted into stereolithography files, resized, and superimposed onto a control file obtained from a desktop scanner. The scan time, total surface deviation, and local deviation of the mandibular teeth were measured. One-way analysis of variance (ANOVA) and Welch ANOVA were used for statistical analyses (α = .05). The relative standard deviation and standard error of the mean were calculated to evaluate accuracy. RESULTS: The total surface deviation differed significantly according to the scanning path despite a similar scan time. Path D had the highest accuracy and the most uniform color maps, showing minimal deformation of the digital model. Meanwhile, no significant differences were found in the local deviations in the individual tooth assessments, likely owing to issues with the superimposition method. CONCLUSION Among all scan paths, the scan path with the shortest distance from the starting point to the end point showed the smallest total surface deviation and the highest accuracy. No differences were observed in the deviations of specific teeth based on the scan path.