目的:评估一种智能手机辅助的新型“任意点两步法”在白内障超声乳化吸出联合人工晶状体植入术中寻找目标轴位的便利性和准确性。方法:前瞻性观察性研究。选取2021-10/2022-04于我院拟行白内障超声乳化吸出联合人工晶状体植入术的年龄...目的:评估一种智能手机辅助的新型“任意点两步法”在白内障超声乳化吸出联合人工晶状体植入术中寻找目标轴位的便利性和准确性。方法:前瞻性观察性研究。选取2021-10/2022-04于我院拟行白内障超声乳化吸出联合人工晶状体植入术的年龄相关性白内障患者62例62眼。随机分为两组,对照组31例31眼采用裂隙灯下标记的“传统两步法”标记人工晶状体的目标轴位,试验组31例31眼采用智能手机辅助的“任意点两步法”标记人工晶状体的目标轴位。术中均采用Callisto eye导航系统作为标准参照,计算参照标记点的偏差值(偏差-1)、目标轴位标记点的偏差值(偏差-总)和参照标记点到目标轴位标记点夹角的偏差值(偏差-2),并记录术前轴位标记用时。结果:试验组偏差-1值和偏差-总值均低于对照组(1.06°±1.39°vs 2.48°±2.23°,1.77°±1.54°vs 2.81°±1.58°,均P<0.01),但两组偏差-2值无明显差异(1.35°±1.40°vs 1.48°±1.79°,P>0.05)。试验组术前轴位标记用时短于对照组(1.77±1.70 min vs 2.88±3.20 min,P<0.01)。结论:与“传统两步法”相比,智能手机辅助的“任意点两步法”在白内障超声乳化吸出联合人工晶状体植入术中寻找目标轴位的过程操作简便省时、准确性高。展开更多
AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hos...AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hospital from Spetember to December 2022 were included,and 13470 infrared pupil images were collected for the study.All infrared images for pupil segmentation were labeled using the Labelme software.The computation of pupil diameter is divided into four steps:image pre-processing,pupil identification and localization,pupil segmentation,and diameter calculation.Two major models are used in the computation process:the modified YoloV3 and Deeplabv 3+models,which must be trained beforehand.RESULTS:The test dataset included 1348 infrared pupil images.On the test dataset,the modified YoloV3 model had a detection rate of 99.98% and an average precision(AP)of 0.80 for pupils.The DeeplabV3+model achieved a background intersection over union(IOU)of 99.23%,a pupil IOU of 93.81%,and a mean IOU of 96.52%.The pupil diameters in the test dataset ranged from 20 to 56 pixels,with a mean of 36.06±6.85 pixels.The absolute error in pupil diameters between predicted and actual values ranged from 0 to 7 pixels,with a mean absolute error(MAE)of 1.06±0.96 pixels.CONCLUSION:This study successfully demonstrates a robust infrared image-based pupil diameter measurement algorithm,proven to be highly accurate and reliable for clinical application.展开更多
目的:观察前房角镜辅助下的机械性房角分离术联合超声乳化白内障摘除和IOL植入治疗原发性闭角型青光眼(PACG)合并白内障的疗效。方法:选取45例52眼房角镜下粘连性房角关闭≥180°的PACG合并白内障患者,接受前房角镜辅助下的机械性...目的:观察前房角镜辅助下的机械性房角分离术联合超声乳化白内障摘除和IOL植入治疗原发性闭角型青光眼(PACG)合并白内障的疗效。方法:选取45例52眼房角镜下粘连性房角关闭≥180°的PACG合并白内障患者,接受前房角镜辅助下的机械性房角分离术联合超声乳化白内障摘除。术后随访6mo,观察并记录患者术前和术后1、2、3、6mo的最佳矫正视力、眼压、房角粘连范围,以及术中和术后并发症。结果:术前眼压为33.92±5.45mmHg,术后1、2、3、6mo眼压分别为15.40±2.67、15.65±2.65、15.57±2.50、16.17±2.65mmHg,术后眼压较术前均明显降低(均 P <0.01)。结论:超声乳化白内障摘除联合前房角镜辅助下房角分离术对于PACG疗效确切。展开更多
文摘目的:评估一种智能手机辅助的新型“任意点两步法”在白内障超声乳化吸出联合人工晶状体植入术中寻找目标轴位的便利性和准确性。方法:前瞻性观察性研究。选取2021-10/2022-04于我院拟行白内障超声乳化吸出联合人工晶状体植入术的年龄相关性白内障患者62例62眼。随机分为两组,对照组31例31眼采用裂隙灯下标记的“传统两步法”标记人工晶状体的目标轴位,试验组31例31眼采用智能手机辅助的“任意点两步法”标记人工晶状体的目标轴位。术中均采用Callisto eye导航系统作为标准参照,计算参照标记点的偏差值(偏差-1)、目标轴位标记点的偏差值(偏差-总)和参照标记点到目标轴位标记点夹角的偏差值(偏差-2),并记录术前轴位标记用时。结果:试验组偏差-1值和偏差-总值均低于对照组(1.06°±1.39°vs 2.48°±2.23°,1.77°±1.54°vs 2.81°±1.58°,均P<0.01),但两组偏差-2值无明显差异(1.35°±1.40°vs 1.48°±1.79°,P>0.05)。试验组术前轴位标记用时短于对照组(1.77±1.70 min vs 2.88±3.20 min,P<0.01)。结论:与“传统两步法”相比,智能手机辅助的“任意点两步法”在白内障超声乳化吸出联合人工晶状体植入术中寻找目标轴位的过程操作简便省时、准确性高。
文摘AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hospital from Spetember to December 2022 were included,and 13470 infrared pupil images were collected for the study.All infrared images for pupil segmentation were labeled using the Labelme software.The computation of pupil diameter is divided into four steps:image pre-processing,pupil identification and localization,pupil segmentation,and diameter calculation.Two major models are used in the computation process:the modified YoloV3 and Deeplabv 3+models,which must be trained beforehand.RESULTS:The test dataset included 1348 infrared pupil images.On the test dataset,the modified YoloV3 model had a detection rate of 99.98% and an average precision(AP)of 0.80 for pupils.The DeeplabV3+model achieved a background intersection over union(IOU)of 99.23%,a pupil IOU of 93.81%,and a mean IOU of 96.52%.The pupil diameters in the test dataset ranged from 20 to 56 pixels,with a mean of 36.06±6.85 pixels.The absolute error in pupil diameters between predicted and actual values ranged from 0 to 7 pixels,with a mean absolute error(MAE)of 1.06±0.96 pixels.CONCLUSION:This study successfully demonstrates a robust infrared image-based pupil diameter measurement algorithm,proven to be highly accurate and reliable for clinical application.
文摘目的:观察前房角镜辅助下的机械性房角分离术联合超声乳化白内障摘除和IOL植入治疗原发性闭角型青光眼(PACG)合并白内障的疗效。方法:选取45例52眼房角镜下粘连性房角关闭≥180°的PACG合并白内障患者,接受前房角镜辅助下的机械性房角分离术联合超声乳化白内障摘除。术后随访6mo,观察并记录患者术前和术后1、2、3、6mo的最佳矫正视力、眼压、房角粘连范围,以及术中和术后并发症。结果:术前眼压为33.92±5.45mmHg,术后1、2、3、6mo眼压分别为15.40±2.67、15.65±2.65、15.57±2.50、16.17±2.65mmHg,术后眼压较术前均明显降低(均 P <0.01)。结论:超声乳化白内障摘除联合前房角镜辅助下房角分离术对于PACG疗效确切。
