AIM:To investigate the binocular intraocular lens(IOL)power difference in eyes with short,normal,and long axial lengths(AL)using Lenstar LS 900 optical biometry.METHODS:A total of 716(1432 eyes)participants were inclu...AIM:To investigate the binocular intraocular lens(IOL)power difference in eyes with short,normal,and long axial lengths(AL)using Lenstar LS 900 optical biometry.METHODS:A total of 716(1432 eyes)participants were included.The groups were categorized into short(group A:AL<22 mm),normal(group B:22 mm≤AL≤25 mm),and long AL groups(group C:AL>25 mm).The central corneal thickness(CCT),anterior chamber depth(ACD),lens thickness(LT),AL,anterior corneal keratometry,whiteto-white(WTW),pupil diameter(PD),as well as IOL power calculated using embedded Barrett formula were assessed.Bland-Altman plots were used to test the agreement of the binocular parameters.RESULTS:In group A,the CCT of the right eye was significantly thinner than that of the left eye(P=0.044)with a difference of-2±8μm[95%limits of agreement(LoA),-17.8 to 13.2μm].For group B,the PD and IOL power in the right eye were significantly lower than those of the left eye(P=0.001,<0.001)with a difference of-0.05±0.32 mm(95%LoA,-0.68 to 0.58 mm)and-0.18±1.01 D(95%LoA,-2.2 to 1.8 D).The AL of right eye was longer than that of the left eye(P=0.002)with a difference of 0.04±0.25 mm(95%Lo A,-0.45 to 0.52 mm).No significant difference was observed for all the binocular parameters in group C.The percentage of participants with binocular IOL power difference within±0.5 D were 62%(31/50),68.3%(339/496),and 38.8%(66/170)in groups A,B,and C,respectively.CONCLUSION:The binocular parameters related to IOL power are in good agreement,but the binocular IOL power difference of more than half of participants with long AL is more than 0.50 D.展开更多
Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes ...Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.展开更多
Background:This review aims to explain the reasons why intraocular lens(IOL)power calculation is challenging in eyes with previous corneal refractive surgery and what solutions are currently available to obtain more a...Background:This review aims to explain the reasons why intraocular lens(IOL)power calculation is challenging in eyes with previous corneal refractive surgery and what solutions are currently available to obtain more accurate results.Review:After IOL implantation in eyes with previous LASIK,PRK or RK,a refractive surprise can occur because (i)the altered ratio between the anterior and posterior corneal surface makes the keratometric index invalid;(ii)the corneal curvature radius is measured out of the optical zone;and (iii)the effective lens position is erroneously predicted if such a prediction is based on the post-refractive surgery corneal curvature.Different methods are currently available to obtain the best refractive outcomes in these eyes,even when the perioperative data(i.e.preoperative corneal power and surgically induced refractive change)are not known.In this review,we describe the most accurate methods based on our clinical studies.Conclusions:IOL power calculation after myopic corneal refractive surgery can be calculated with a variety of methods that lead to relatively accurate outcomes,with 60 to 70%of eyes showing a prediction error within 0.50 diopters.展开更多
AIM : To evaluate the prediction error in intraocular lens(IOL) power calculation for a rotationally asymmetric refractive multifocal IOL and the impact on this error of the optimization of the keratometric estimation...AIM : To evaluate the prediction error in intraocular lens(IOL) power calculation for a rotationally asymmetric refractive multifocal IOL and the impact on this error of the optimization of the keratometric estimation of the corneal power and the prediction of the effective lens position(ELP).METHODS: Retrospective study including a total of 25 eyes of 13 patients(age, 50 to 83y) with previous cataract surgery with implantation of the Lentis Mplus LS-312 IOL(Oculentis Gmb H, Germany). In all cases, an adjusted IOL power(P IOLadj) was calculated based on Gaussian optics using a variable keratometric index value(n kadj) for the estimation of the corneal power(P kadj) and on a new value for ELP(ELP adj) obtained by multiple regression analysis.This P IOLadj was compared with the IOL power implanted(P IOLReal) and the value proposed by three conventional formulas(Haigis, Hoffer Q and Holladay Ⅰ).RESULTS: P IOLReal was not significantly different than P IOLadj and Holladay IOL power(P 】0.05). In the Bland and Altman analysis, P IOLadj showed lower mean difference(-0.07 D) and limits of agreement(of 1.47 and-1.61 D)when compared to P IOLReal than the IOL power value obtained with the Holladay formula. Furthermore, ELP adj was significantly lower than ELP calculated with other conventional formulas(P 【0.01) and was found to be dependent on axial length, anterior chamber depth and P kadj. CONCLUSION: Refractive outcomes after cataract surgery with implantation of the multifocal IOL Lentis Mplus LS-312 can be optimized by minimizing thekeratometric error and by estimating ELP using a mathematical expression dependent on anatomical factors.展开更多
Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes ...Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.展开更多
Background:To investigate the associations of lens power with age,axial length(AL),and type 2 diabetes mellitus(DM)inChineseadultsaged5oandabove.Methods:Random clustering sampling was used to identify adults aged 50 y...Background:To investigate the associations of lens power with age,axial length(AL),and type 2 diabetes mellitus(DM)inChineseadultsaged5oandabove.Methods:Random clustering sampling was used to identify adults aged 50 years and above in urban regions of Shanghai.The participants underwent a comprehensive ophthalmic examination including subjective refraction,autorefraction,and IOL-Master.The crystalline lens power was calculated using Bennett's formula.Results:A total of 4177 adults were included.A linear decrease in lens power was observed both with age and with AL,followed by a stop of lens power loss after the age of 70 or when AL≥25 mm,respectively.Participants with type 2 DM presented higher lens power(0.43 diopter(D),P<0.001)and thicker lens thickness(0.06 mm,P<0.001).In multivariate regression models,there was a positive correlation between lens power and type 2 DM when age<75 years(P<0.001)or AL<25 mm(P<0.001)after adjusting for other factors,while no significant association was found in participants aged≥75 years(P=0.122)or with AL≥25 mm(P=0.172).Conclusions:The lens power in adults aged 50 and above exhibited two stages with age and with AL.Type 2 DM caused an increase in lens power,which was not seen in participants aged≥75 years or with AL≥25 mm.展开更多
Background:To investigate the associations of lens power with age,axial length(AL),and Type 2 diabetes mellitus(DM)in Chinese adults aged 50 and above.Methods:Random clustering sampling was used to identify adults age...Background:To investigate the associations of lens power with age,axial length(AL),and Type 2 diabetes mellitus(DM)in Chinese adults aged 50 and above.Methods:Random clustering sampling was used to identify adults aged 50 years and above in urban regions of Shanghai.The participants underwent a comprehensive ophthalmic examination including subjective refraction,autorefraction,and IOL-Master.The crystalline lens power was calculated using Bennett’s formula.Results:A total of 4177 adults were included.A linear decrease in lens power was observed both with age and with AL,followed by a stop of lens power loss after the age of 70 or when AL≥25 mm,respectively.Participants with Type 2 DM presented higher lens power(0.43 diopter(D),p<0.001)and thicker lens thickness(0.06 mm,p<0.001).In multivariate regression models,there was a positive correlation between lens power and Type 2 DM when age<75 years(p<0.001)or AL<25 mm(p<0.001)after adjusting for other factors,while no significant association was found in participants aged≥75 years(p=0.122)or with AL≥25 mm(p=0.172).Conclusions:The lens power in adults aged 50 and above exhibited two stages with age and with AL.Type 2 DM caused an increase in lens power,which was not seen in participants aged≥75 years or with AL≥25 mm.展开更多
AIM: To analytically assess the effect of pupil size upon the refractive power distributions of different designs of multifocal contact lenses.METHODS: Two multifocal contact lenses of center-near design and one mul...AIM: To analytically assess the effect of pupil size upon the refractive power distributions of different designs of multifocal contact lenses.METHODS: Two multifocal contact lenses of center-near design and one multifocal contact lens of center-distance design were used in this study. Their power profiles were measured using the NIMO TR1504 device (LAMBDA-X, Belgium). Based on their power profiles, the power distribution was assessed as a function of pupil size. For the high addition lenses, the resulting refractive power as a function of viewing distance (far, intermediate, and near) and pupil size was also analyzed.RESULTS: The power distribution of the lenses was affected by pupil size differently. One of the lenses showed a significant spread in refractive power distribution, from about ?3 D to 0 D. Generally, the power distribution of the lenses expanded as the pupil diameter became greater. The surface of the lens dedicated for each distance varied substantially with the design of the lens.CONCLUSION: In an experimental basis, our results show how the lenses power distribution is affected by the pupil size and underlined the necessity of careful evaluation of the patient’s visual needs and the optical properties of a multifocal contact lens for achieving the optimal visual outcome.展开更多
基金Supported by the National Natural Science Foundation of China(No.81971697No.81501544)+1 种基金Shanxi Scholarship Council of China(No.2021-174)the Research Funding of Shanxi Eye Hospital(No.B201804)。
文摘AIM:To investigate the binocular intraocular lens(IOL)power difference in eyes with short,normal,and long axial lengths(AL)using Lenstar LS 900 optical biometry.METHODS:A total of 716(1432 eyes)participants were included.The groups were categorized into short(group A:AL<22 mm),normal(group B:22 mm≤AL≤25 mm),and long AL groups(group C:AL>25 mm).The central corneal thickness(CCT),anterior chamber depth(ACD),lens thickness(LT),AL,anterior corneal keratometry,whiteto-white(WTW),pupil diameter(PD),as well as IOL power calculated using embedded Barrett formula were assessed.Bland-Altman plots were used to test the agreement of the binocular parameters.RESULTS:In group A,the CCT of the right eye was significantly thinner than that of the left eye(P=0.044)with a difference of-2±8μm[95%limits of agreement(LoA),-17.8 to 13.2μm].For group B,the PD and IOL power in the right eye were significantly lower than those of the left eye(P=0.001,<0.001)with a difference of-0.05±0.32 mm(95%LoA,-0.68 to 0.58 mm)and-0.18±1.01 D(95%LoA,-2.2 to 1.8 D).The AL of right eye was longer than that of the left eye(P=0.002)with a difference of 0.04±0.25 mm(95%Lo A,-0.45 to 0.52 mm).No significant difference was observed for all the binocular parameters in group C.The percentage of participants with binocular IOL power difference within±0.5 D were 62%(31/50),68.3%(339/496),and 38.8%(66/170)in groups A,B,and C,respectively.CONCLUSION:The binocular parameters related to IOL power are in good agreement,but the binocular IOL power difference of more than half of participants with long AL is more than 0.50 D.
文摘Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.
基金The contribution of G.B.Fondazione Bietti IRCCS was supported by the Italian Ministry of Health and Fondazione Roma.
文摘Background:This review aims to explain the reasons why intraocular lens(IOL)power calculation is challenging in eyes with previous corneal refractive surgery and what solutions are currently available to obtain more accurate results.Review:After IOL implantation in eyes with previous LASIK,PRK or RK,a refractive surprise can occur because (i)the altered ratio between the anterior and posterior corneal surface makes the keratometric index invalid;(ii)the corneal curvature radius is measured out of the optical zone;and (iii)the effective lens position is erroneously predicted if such a prediction is based on the post-refractive surgery corneal curvature.Different methods are currently available to obtain the best refractive outcomes in these eyes,even when the perioperative data(i.e.preoperative corneal power and surgically induced refractive change)are not known.In this review,we describe the most accurate methods based on our clinical studies.Conclusions:IOL power calculation after myopic corneal refractive surgery can be calculated with a variety of methods that lead to relatively accurate outcomes,with 60 to 70%of eyes showing a prediction error within 0.50 diopters.
文摘AIM : To evaluate the prediction error in intraocular lens(IOL) power calculation for a rotationally asymmetric refractive multifocal IOL and the impact on this error of the optimization of the keratometric estimation of the corneal power and the prediction of the effective lens position(ELP).METHODS: Retrospective study including a total of 25 eyes of 13 patients(age, 50 to 83y) with previous cataract surgery with implantation of the Lentis Mplus LS-312 IOL(Oculentis Gmb H, Germany). In all cases, an adjusted IOL power(P IOLadj) was calculated based on Gaussian optics using a variable keratometric index value(n kadj) for the estimation of the corneal power(P kadj) and on a new value for ELP(ELP adj) obtained by multiple regression analysis.This P IOLadj was compared with the IOL power implanted(P IOLReal) and the value proposed by three conventional formulas(Haigis, Hoffer Q and Holladay Ⅰ).RESULTS: P IOLReal was not significantly different than P IOLadj and Holladay IOL power(P 】0.05). In the Bland and Altman analysis, P IOLadj showed lower mean difference(-0.07 D) and limits of agreement(of 1.47 and-1.61 D)when compared to P IOLReal than the IOL power value obtained with the Holladay formula. Furthermore, ELP adj was significantly lower than ELP calculated with other conventional formulas(P 【0.01) and was found to be dependent on axial length, anterior chamber depth and P kadj. CONCLUSION: Refractive outcomes after cataract surgery with implantation of the multifocal IOL Lentis Mplus LS-312 can be optimized by minimizing thekeratometric error and by estimating ELP using a mathematical expression dependent on anatomical factors.
文摘Background:To examine the effectiveness of the use of machine learning for adapting an intraocular lens(IOL)power calculation for a patient group.Methods:In this retrospective study,the clinical records of 1,611 eyes of 1,169 Japanese patients who received a single model of monofocal IOL(SN60WF,Alcon)at Miyata Eye Hospital were reviewed and analyzed.Using biometric metrics and postoperative refractions of 1211 eyes of 769 patients,constants of the SRK/T and Haigis formulas were optimized.The SRK/T formula was adapted using a support vector regressor.Prediction errors in the use of adapted formulas as well as the SRK/T,Haigis,Hill-RBF and Barrett Universal II formulas were evaluated with data from 395 eyes of 395 distinct patients.Mean prediction errors,median absolute errors,and percentages of eyes within±0.25 D,±0.50 D,and±1.00 D,and over+0.50 D of errors were compared among formulas.Results:The mean prediction errors in the use of the SRT/K and adapted formulas were smaller than the use of other formulas(P<0.001).In the absolute errors,the Hill-RBF and adapted methods were better than others.The performance of the Barrett Universal II was not better than the others for the patient group.There were the least eyes with hyperopic refractive errors(16.5%)in the use of the adapted formula.Conclusions:Adapting IOL power calculations using machine learning technology with data from a particular patient group was effective and promising.
基金This study was funded by the National Natural Science Foundation of China(Grant Nos.81670898 and 81703287)the Shanghai Three-Year Public Health Action Program(Project.Nos.GWIV-3.3 and GWIV-13.1)+6 种基金the Shanghai High-level Overseas Training Team Programon Eye Public Health(Project No.GWTD2015S08)the Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support(Project No.20172022)the Shanghai General Hospital,Clinical Research(Project No.CTCCR-2018Z01)the Shanghai Science and Technology Commission Research Project(Project No.17ZR1426900)the Shanghai Municipal Planning Commission of Science and Research Fund(Project No.201640090)the National Key R&D Program of China(Project Nos.2016YFC0904800,2019YFC0840607)the National Science and Technology Major Project of China(Project No.2017ZX09304010).
文摘Background:To investigate the associations of lens power with age,axial length(AL),and type 2 diabetes mellitus(DM)inChineseadultsaged5oandabove.Methods:Random clustering sampling was used to identify adults aged 50 years and above in urban regions of Shanghai.The participants underwent a comprehensive ophthalmic examination including subjective refraction,autorefraction,and IOL-Master.The crystalline lens power was calculated using Bennett's formula.Results:A total of 4177 adults were included.A linear decrease in lens power was observed both with age and with AL,followed by a stop of lens power loss after the age of 70 or when AL≥25 mm,respectively.Participants with type 2 DM presented higher lens power(0.43 diopter(D),P<0.001)and thicker lens thickness(0.06 mm,P<0.001).In multivariate regression models,there was a positive correlation between lens power and type 2 DM when age<75 years(P<0.001)or AL<25 mm(P<0.001)after adjusting for other factors,while no significant association was found in participants aged≥75 years(P=0.122)or with AL≥25 mm(P=0.172).Conclusions:The lens power in adults aged 50 and above exhibited two stages with age and with AL.Type 2 DM caused an increase in lens power,which was not seen in participants aged≥75 years or with AL≥25 mm.
基金This study was funded by the National Natural Science Foundation of China(Grant No.:81670898 and 81703287,Beijing,China)the Shanghai Three-Year Public Health Action Program(Project Nos.GWIV-3.3 and GWIV-13.1,Shanghai,China)+7 种基金the Shanghai High-level Overseas Training Team Program on Eye Public Health(Project No.GWTD2015S08,Shanghai,China)Shanghai Municipal Education Commission—Gaofeng Clinical Medicine Grant Support(Project No.20172022,Shanghai,China)Shanghai General Hospital,Clinical Research(Project No.CTCCR-2018Z01,Shanghai,China)the Shanghai Science and Technology Commission Research Project(Project No.17ZR1426900,Shanghai,China)the Shanghai Municipal Planning Commission of Science and Research Fund(Project No.201640090,Shanghai,China)National Key R&D Program of China(Project No.2016YFC0904800,2019YFC0840607)National Science and Technology Major Project of China(Project No.2017ZX09304010)The sponsors or funding organizations had no role in the design or conduct of this research.
文摘Background:To investigate the associations of lens power with age,axial length(AL),and Type 2 diabetes mellitus(DM)in Chinese adults aged 50 and above.Methods:Random clustering sampling was used to identify adults aged 50 years and above in urban regions of Shanghai.The participants underwent a comprehensive ophthalmic examination including subjective refraction,autorefraction,and IOL-Master.The crystalline lens power was calculated using Bennett’s formula.Results:A total of 4177 adults were included.A linear decrease in lens power was observed both with age and with AL,followed by a stop of lens power loss after the age of 70 or when AL≥25 mm,respectively.Participants with Type 2 DM presented higher lens power(0.43 diopter(D),p<0.001)and thicker lens thickness(0.06 mm,p<0.001).In multivariate regression models,there was a positive correlation between lens power and Type 2 DM when age<75 years(p<0.001)or AL<25 mm(p<0.001)after adjusting for other factors,while no significant association was found in participants aged≥75 years(p=0.122)or with AL≥25 mm(p=0.172).Conclusions:The lens power in adults aged 50 and above exhibited two stages with age and with AL.Type 2 DM caused an increase in lens power,which was not seen in participants aged≥75 years or with AL≥25 mm.
基金Supported by the AGEYE project(No.608049)the Marie Curie Initial Training Network program(No.FP7-PEOPLE-2013-ITN)the European Commission,Brussels,Belgium and by an Atraccióde Talent(University of Valencia)research scholarship granted to Antonio J.Deláguila-Carrasco(No.UV-INV-PREDOC14-179135)
文摘AIM: To analytically assess the effect of pupil size upon the refractive power distributions of different designs of multifocal contact lenses.METHODS: Two multifocal contact lenses of center-near design and one multifocal contact lens of center-distance design were used in this study. Their power profiles were measured using the NIMO TR1504 device (LAMBDA-X, Belgium). Based on their power profiles, the power distribution was assessed as a function of pupil size. For the high addition lenses, the resulting refractive power as a function of viewing distance (far, intermediate, and near) and pupil size was also analyzed.RESULTS: The power distribution of the lenses was affected by pupil size differently. One of the lenses showed a significant spread in refractive power distribution, from about ?3 D to 0 D. Generally, the power distribution of the lenses expanded as the pupil diameter became greater. The surface of the lens dedicated for each distance varied substantially with the design of the lens.CONCLUSION: In an experimental basis, our results show how the lenses power distribution is affected by the pupil size and underlined the necessity of careful evaluation of the patient’s visual needs and the optical properties of a multifocal contact lens for achieving the optimal visual outcome.