Purpose: Cataracts are the cause of more than 50% of blindness in the world. Cataract is diagnosed using a slit lamp to evaluate the opacity of the lens. Slit lamps as the primary tools cataract are not available in primary care units. Smart Eye Camera (SEC) is a medical device placed on smartphone, capable of creating slit beam similar to conventional slit lamp. Previous studies have been conducted in Japan. We wanted to further compare ocular examination between SEC and conventional slit lamp with samples taken from UPTD Eye Clinic Ambon Vlissingen in Indonesia. Methods: Observational analytical study with a cross-sectional study design. The research sample consisted of 67 people selected by consecutive sampling. All samples were examined for cataracts using a conventional slit lamp and SEC. To evaluate the accuracy of SEC, diagnosis of cataract was carried out by one observer based on slit-lamp images. The results of examinations were then compared with the examinations by two observers based on the SEC video, where the videos were read two times in a span of 1 week. Results: Sixty-seven eye samples were taken with average age of 61.76 ± 5.83 years, visual acuity was 0.07 ± 0.12, intraocular pressure was 14.12 ± 2.06 mmHg, and SEC video duration was 4.15 ± 1.09 seconds. SEC intraobserver reliability has a κ of 0.795/0.818, SEC interobserver reliability has a κ of 0.795/0.817. SEC assessment accuracy for observer 1 has a κ of 0.606/0.681 and for observer 2 has a κ of 0.629/0.717, with the highest accuracy for cataract grade 3 (86.67% and 91.18%, respectively). Conclusions This study shows SEC has good consistency and reliability in assessing the degree of nuclear cataract compared to conventional slit lamp. This tool could be used for cataract screening in remote areas.

Purpose: Cataracts are the cause of more than 50% of blindness in the world. Cataract is diagnosed using a slit lamp to evaluate the opacity of the lens. Slit lamps as the primary tools cataract are not available in primary care units. Smart Eye Camera (SEC) is a medical device placed on smartphone, capable of creating slit beam similar to conventional slit lamp. Previous studies have been conducted in Japan. We wanted to further compare ocular examination between SEC and conventional slit lamp with samples taken from UPTD Eye Clinic Ambon Vlissingen in Indonesia. Methods: Observational analytical study with a cross-sectional study design. The research sample consisted of 67 people selected by consecutive sampling. All samples were examined for cataracts using a conventional slit lamp and SEC. To evaluate the accuracy of SEC, diagnosis of cataract was carried out by one observer based on slit-lamp images. The results of examinations were then compared with the examinations by two observers based on the SEC video, where the videos were read two times in a span of 1 week. Results: Sixty-seven eye samples were taken with average age of 61.76 ± 5.83 years, visual acuity was 0.07 ± 0.12, intraocular pressure was 14.12 ± 2.06 mmHg, and SEC video duration was 4.15 ± 1.09 seconds. SEC intraobserver reliability has a κ of 0.795/0.818, SEC interobserver reliability has a κ of 0.795/0.817. SEC assessment accuracy for observer 1 has a κ of 0.606/0.681 and for observer 2 has a κ of 0.629/0.717, with the highest accuracy for cataract grade 3 (86.67% and 91.18%, respectively). Conclusions This study shows SEC has good consistency and reliability in assessing the degree of nuclear cataract compared to conventional slit lamp. This tool could be used for cataract screening in remote areas.

Purpose: Cataracts are the cause of more than 50% of blindness in the world. Cataract is diagnosed using a slit lamp to evaluate the opacity of the lens. Slit lamps as the primary tools cataract are not available in primary care units. Smart Eye Camera (SEC) is a medical device placed on smartphone, capable of creating slit beam similar to conventional slit lamp. Previous studies have been conducted in Japan. We wanted to further compare ocular examination between SEC and conventional slit lamp with samples taken from UPTD Eye Clinic Ambon Vlissingen in Indonesia. Methods: Observational analytical study with a cross-sectional study design. The research sample consisted of 67 people selected by consecutive sampling. All samples were examined for cataracts using a conventional slit lamp and SEC. To evaluate the accuracy of SEC, diagnosis of cataract was carried out by one observer based on slit-lamp images. The results of examinations were then compared with the examinations by two observers based on the SEC video, where the videos were read two times in a span of 1 week. Results: Sixty-seven eye samples were taken with average age of 61.76 ± 5.83 years, visual acuity was 0.07 ± 0.12, intraocular pressure was 14.12 ± 2.06 mmHg, and SEC video duration was 4.15 ± 1.09 seconds. SEC intraobserver reliability has a κ of 0.795/0.818, SEC interobserver reliability has a κ of 0.795/0.817. SEC assessment accuracy for observer 1 has a κ of 0.606/0.681 and for observer 2 has a κ of 0.629/0.717, with the highest accuracy for cataract grade 3 (86.67% and 91.18%, respectively). Conclusions This study shows SEC has good consistency and reliability in assessing the degree of nuclear cataract compared to conventional slit lamp. This tool could be used for cataract screening in remote areas.

Purpose: Cataracts are the cause of more than 50% of blindness in the world. Cataract is diagnosed using a slit lamp to evaluate the opacity of the lens. Slit lamps as the primary tools cataract are not available in primary care units. Smart Eye Camera (SEC) is a medical device placed on smartphone, capable of creating slit beam similar to conventional slit lamp. Previous studies have been conducted in Japan. We wanted to further compare ocular examination between SEC and conventional slit lamp with samples taken from UPTD Eye Clinic Ambon Vlissingen in Indonesia. Methods: Observational analytical study with a cross-sectional study design. The research sample consisted of 67 people selected by consecutive sampling. All samples were examined for cataracts using a conventional slit lamp and SEC. To evaluate the accuracy of SEC, diagnosis of cataract was carried out by one observer based on slit-lamp images. The results of examinations were then compared with the examinations by two observers based on the SEC video, where the videos were read two times in a span of 1 week. Results: Sixty-seven eye samples were taken with average age of 61.76 ± 5.83 years, visual acuity was 0.07 ± 0.12, intraocular pressure was 14.12 ± 2.06 mmHg, and SEC video duration was 4.15 ± 1.09 seconds. SEC intraobserver reliability has a κ of 0.795/0.818, SEC interobserver reliability has a κ of 0.795/0.817. SEC assessment accuracy for observer 1 has a κ of 0.606/0.681 and for observer 2 has a κ of 0.629/0.717, with the highest accuracy for cataract grade 3 (86.67% and 91.18%, respectively). Conclusions This study shows SEC has good consistency and reliability in assessing the degree of nuclear cataract compared to conventional slit lamp. This tool could be used for cataract screening in remote areas.

Purpose: Cataracts are the cause of more than 50% of blindness in the world. Cataract is diagnosed using a slit lamp to evaluate the opacity of the lens. Slit lamps as the primary tools cataract are not available in primary care units. Smart Eye Camera (SEC) is a medical device placed on smartphone, capable of creating slit beam similar to conventional slit lamp. Previous studies have been conducted in Japan. We wanted to further compare ocular examination between SEC and conventional slit lamp with samples taken from UPTD Eye Clinic Ambon Vlissingen in Indonesia. Methods: Observational analytical study with a cross-sectional study design. The research sample consisted of 67 people selected by consecutive sampling. All samples were examined for cataracts using a conventional slit lamp and SEC. To evaluate the accuracy of SEC, diagnosis of cataract was carried out by one observer based on slit-lamp images. The results of examinations were then compared with the examinations by two observers based on the SEC video, where the videos were read two times in a span of 1 week. Results: Sixty-seven eye samples were taken with average age of 61.76 ± 5.83 years, visual acuity was 0.07 ± 0.12, intraocular pressure was 14.12 ± 2.06 mmHg, and SEC video duration was 4.15 ± 1.09 seconds. SEC intraobserver reliability has a κ of 0.795/0.818, SEC interobserver reliability has a κ of 0.795/0.817. SEC assessment accuracy for observer 1 has a κ of 0.606/0.681 and for observer 2 has a κ of 0.629/0.717, with the highest accuracy for cataract grade 3 (86.67% and 91.18%, respectively). Conclusions This study shows SEC has good consistency and reliability in assessing the degree of nuclear cataract compared to conventional slit lamp. This tool could be used for cataract screening in remote areas.

PURPOSE: To identify the parameters on noncontrast computed tomography (NCCT) that best predict the success of shock wave lithotripsy (SWL). MATERIALS AND METHODS: We reviewed the records of 75 patients who underwent SWL for urinary calculi measuring 5 to 20 mm. Using NCCT images, we estimated the largest stone cross-sectional area and contoured the inner edge of the stone. Clinical outcome was classified as successful (stone-free or <4 mm in diameter) or failed (stone fragments, > or =4 mm). The impact of preoperative parameters was evaluated by univariate and multivariate analysis. RESULTS: The overall success rate was 73.3%. Average stone attenuation value, stone length, and stone cross-sectional area in the success and failure groups were 627.4+/-166.5 HU (Hounsfield unit) vs. 788.1+/-233.9 HU (p=0.002), 11.7+/-3.8 mm vs. 14.2+/-3.6 mm (p=0.015), and 0.31+/-0.17 cm2 vs. 0.57+/-0.41 cm2 (p<0.001), respectively. In the multivariate analysis, stone attenuation value was the only independent predictor of SWL success (p=0.023), although stone cross-sectional area had a tendency to be associated with SWL success (p=0.053). Patients were then classified into four groups by using cutoff values of 780 HU for stone attenuation value and 0.4 cm2 for cross-sectional area. By use of these cutoff values, the group with a low stone attenuation value and a low cross-sectional area was more than 11.6 times as likely to have a successful result on SWL as were all other groups (odds ratio, 11.6; 95% confidence interval, 3.9 to 54.7; p<0.001). CONCLUSIONS: Stone attenuation value and stone cross-sectional area are good predictors of extracorporeal SWL outcome.
Humans ; Lithotripsy ; Multivariate Analysis ; Shock ; Treatment Outcome ; Urinary Calculi