Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure

Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly di...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wu, Yuzhou [verfasserIn] Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Primary angle closure Glaucoma Anterior segment optical coherence tomography Formula Effective Lens position

Anmerkung:	© The Author(s) 2021

Übergeordnetes Werk:	Enthalten in: BMC ophthalmology - London : BioMed Central, 2001, 21(2021), 1 vom: 27. Dez.
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:1 ; day:27 ; month:12

Links:	Volltext

DOI / URN:	10.1186/s12886-021-02213-w

Katalog-ID:	SPR050387448

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520			\|a Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested.
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allfields	10.1186/s12886-021-02213-w doi (DE-627)SPR050387448 (SPR)s12886-021-02213-w-e DE-627 ger DE-627 rakwb eng Wu, Yuzhou verfasserin aut Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. Primary angle closure Glaucoma (dpeaa)DE-He213 Anterior segment optical coherence tomography (dpeaa)DE-He213 Formula (dpeaa)DE-He213 Effective Lens position (dpeaa)DE-He213 Zhang, Shunhua aut Zhong, Yong aut Bian, Ailing aut Zhang, Yang aut Wang, Zaowen aut Enthalten in BMC ophthalmology London : BioMed Central, 2001 21(2021), 1 vom: 27. Dez. (DE-627)331018772 (DE-600)2050436-6 1471-2415 nnns volume:21 year:2021 number:1 day:27 month:12 https://dx.doi.org/10.1186/s12886-021-02213-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 27 12
spelling	10.1186/s12886-021-02213-w doi (DE-627)SPR050387448 (SPR)s12886-021-02213-w-e DE-627 ger DE-627 rakwb eng Wu, Yuzhou verfasserin aut Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. Primary angle closure Glaucoma (dpeaa)DE-He213 Anterior segment optical coherence tomography (dpeaa)DE-He213 Formula (dpeaa)DE-He213 Effective Lens position (dpeaa)DE-He213 Zhang, Shunhua aut Zhong, Yong aut Bian, Ailing aut Zhang, Yang aut Wang, Zaowen aut Enthalten in BMC ophthalmology London : BioMed Central, 2001 21(2021), 1 vom: 27. Dez. (DE-627)331018772 (DE-600)2050436-6 1471-2415 nnns volume:21 year:2021 number:1 day:27 month:12 https://dx.doi.org/10.1186/s12886-021-02213-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 27 12
allfields_unstemmed	10.1186/s12886-021-02213-w doi (DE-627)SPR050387448 (SPR)s12886-021-02213-w-e DE-627 ger DE-627 rakwb eng Wu, Yuzhou verfasserin aut Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. Primary angle closure Glaucoma (dpeaa)DE-He213 Anterior segment optical coherence tomography (dpeaa)DE-He213 Formula (dpeaa)DE-He213 Effective Lens position (dpeaa)DE-He213 Zhang, Shunhua aut Zhong, Yong aut Bian, Ailing aut Zhang, Yang aut Wang, Zaowen aut Enthalten in BMC ophthalmology London : BioMed Central, 2001 21(2021), 1 vom: 27. Dez. (DE-627)331018772 (DE-600)2050436-6 1471-2415 nnns volume:21 year:2021 number:1 day:27 month:12 https://dx.doi.org/10.1186/s12886-021-02213-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 27 12
allfieldsGer	10.1186/s12886-021-02213-w doi (DE-627)SPR050387448 (SPR)s12886-021-02213-w-e DE-627 ger DE-627 rakwb eng Wu, Yuzhou verfasserin aut Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. Primary angle closure Glaucoma (dpeaa)DE-He213 Anterior segment optical coherence tomography (dpeaa)DE-He213 Formula (dpeaa)DE-He213 Effective Lens position (dpeaa)DE-He213 Zhang, Shunhua aut Zhong, Yong aut Bian, Ailing aut Zhang, Yang aut Wang, Zaowen aut Enthalten in BMC ophthalmology London : BioMed Central, 2001 21(2021), 1 vom: 27. Dez. (DE-627)331018772 (DE-600)2050436-6 1471-2415 nnns volume:21 year:2021 number:1 day:27 month:12 https://dx.doi.org/10.1186/s12886-021-02213-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 27 12
allfieldsSound	10.1186/s12886-021-02213-w doi (DE-627)SPR050387448 (SPR)s12886-021-02213-w-e DE-627 ger DE-627 rakwb eng Wu, Yuzhou verfasserin aut Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. Primary angle closure Glaucoma (dpeaa)DE-He213 Anterior segment optical coherence tomography (dpeaa)DE-He213 Formula (dpeaa)DE-He213 Effective Lens position (dpeaa)DE-He213 Zhang, Shunhua aut Zhong, Yong aut Bian, Ailing aut Zhang, Yang aut Wang, Zaowen aut Enthalten in BMC ophthalmology London : BioMed Central, 2001 21(2021), 1 vom: 27. Dez. (DE-627)331018772 (DE-600)2050436-6 1471-2415 nnns volume:21 year:2021 number:1 day:27 month:12 https://dx.doi.org/10.1186/s12886-021-02213-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 1 27 12
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Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Primary angle closure Glaucoma</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Anterior segment optical coherence tomography</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Formula</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Effective Lens position</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Shunhua</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhong, Yong</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bian, Ailing</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Yang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Zaowen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">BMC ophthalmology</subfield><subfield code="d">London : BioMed Central, 2001</subfield><subfield code="g">21(2021), 1 vom: 27. 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author	Wu, Yuzhou
spellingShingle	Wu, Yuzhou misc Primary angle closure Glaucoma misc Anterior segment optical coherence tomography misc Formula misc Effective Lens position Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
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topic_title	Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure Primary angle closure Glaucoma (dpeaa)DE-He213 Anterior segment optical coherence tomography (dpeaa)DE-He213 Formula (dpeaa)DE-He213 Effective Lens position (dpeaa)DE-He213
topic	misc Primary angle closure Glaucoma misc Anterior segment optical coherence tomography misc Formula misc Effective Lens position
topic_unstemmed	misc Primary angle closure Glaucoma misc Anterior segment optical coherence tomography misc Formula misc Effective Lens position
topic_browse	misc Primary angle closure Glaucoma misc Anterior segment optical coherence tomography misc Formula misc Effective Lens position
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title	Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
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title_full	Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
author_sort	Wu, Yuzhou
journal	BMC ophthalmology
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author_browse	Wu, Yuzhou Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen
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author-letter	Wu, Yuzhou
doi_str_mv	10.1186/s12886-021-02213-w
title_sort	prediction of effective lens position using anterior segment optical coherence tomography in chinese subjects with angle closure
title_auth	Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
abstract	Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. © The Author(s) 2021
abstractGer	Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. © The Author(s) 2021
abstract_unstemmed	Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. © The Author(s) 2021
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title_short	Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
url	https://dx.doi.org/10.1186/s12886-021-02213-w
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author2	Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen
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doi_str	10.1186/s12886-021-02213-w
up_date	2024-07-03T15:12:57.747Z
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Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination ($ R^{2} $) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula ($ R^{2} $ = 0.50, P = 0.9947) Holladay 1 ($ R^{2} $ = 0.12, P < 0.0001), SRK/T ($ R^{2} $ = 0.11, P < 0.0001) and Haigis ($ R^{2} $ = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. 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Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure

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