All biometric components are important in anisometropia, not just axial length

Hashemi, Hassan; Khabazkhoob, Mehdi; Emamian, Mohammad Hassan; Shariati, Mohammad; Abdolahinia, Tahereh; Fotouhi, Akbar

doi:10.1136/bjophthalmol-2013-303939

Cited by 27 publications

(35 citation statements)

References 20 publications

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“…The correlations of the measured parameters in our study were parallel with those of Hashemi et al (2013). The correlations of the measured parameters in our study were parallel with those of Hashemi et al (2013).…”

Section: Anisosrsupporting

confidence: 84%

“…They found that asymmetry of CR, ACD, lens thickness, lens power, vitreous length and AL were all significantly more prevalent among anisometric than isometropic subjects. The correlations of the measured parameters in our study were parallel with those of Hashemi et al (2013). However, our correlation coefficients were lower and no significant correlation was observed between Ani-soACD and AnisoSE.…”

Section: Anisosrsupporting

confidence: 68%

“…However, our correlation coefficients were lower and no significant correlation was observed between Ani-soACD and AnisoSE. The study of Hashemi et al (2013) further showed significant connection with the grade of nuclear opacity and anisometropia. In our study, persons who had received surgery for cataract were excluded, but it is probable that our sample included some cases with different grades of nuclear opacities, which would affect our findings on AnisoSE and Ani-soAST.…”

Section: Anisosrmentioning

confidence: 86%

“…The amount of AnisoAST, similarly to the mean amount of AST, clearly increases with age ). Hashemi et al (2013) compared asymmetry in all the different biometric components of refraction with anisometropia.…”

Section: Anisosrmentioning

confidence: 99%

“…Qin et al (2005) noted that increased prevalence of AnisoSE with age occurs later in hyperopes than in myopes. Interocular differences in axial length (AnisoAL) and corneal refractive power (AnisoCR) are been shown to be connected with AnisoSE (Wu et al 2008;Hashemi et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Anisometropia of ocular refractive and biometric measures among 66‐ to 79‐year‐old female twins

Pärssinen

Kauppinen

Kaprio

et al. 2016

Acta Ophthalmologica

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Section: Anisosrsupporting

confidence: 84%

Section: Anisosrsupporting

confidence: 68%

Section: Anisosrmentioning

confidence: 86%

Section: Anisosrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Anisometropia of ocular refractive and biometric measures among 66‐ to 79‐year‐old female twins

Pärssinen

Kauppinen

Kaprio

et al. 2016

Acta Ophthalmologica

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Biometry: a tool for the detection of amblyopia risk factor in children

Satou

Niida

Ito

2019

Graefes Arch Clin Exp Ophthalmol

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Purpose To determine optical biometry data criteria for the detection of abnormal refraction in preschool children, and to evaluate the accuracy of these criteria for detecting amblyopia refractive risk factor (ARF), as defined in the 2013 guidelines of the American Association for Pediatric Ophthalmology and Strabismus (AAPOS). Methods The present study included 200 eyes of 100 preschool children with normal eyes for the experimental determination of criteria and 142 eyes of 71 preschool children for validation of these criteria. Statistical data from normal eyes were used to determine both Bhigh sensitivity failure criterion^and Bhigh specificity failure criterion^associated with corneal astigmatism, interocular difference in axial length, and the prediction interval of a regression formula for predicting corneal power from axial length. Ophthalmological examination of children for validation included testing cycloplegic refraction and optical biometry testing. Outcomes from optical biometry criteria were compared with determination via ophthalmological examination, and the accuracy of the criteria for detecting ARF was evaluated. Results Sensitivity of the Bhigh sensitivity failure criterion^for detecting 2013 AAPOS ARF was 100%, while the specificity was 80.5%. The sensitivity of the Bhigh specificity failure criterion^was 93.3%, while the specificity was 95.1%. Conclusions The criteria derived from optical biometry data in this study exhibited excellent sensitivity and specificity for detecting ARF. This study may lead to a new approach to vision screening in preschool children.

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Meridional ocular magnification after cataract surgery with toric and non-toric intraocular lenses

Langenbucher

Hoffmann

Cayless

et al. 2022

Graefes Arch Clin Exp Ophthalmol

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Background Overall ocular magnification (OOM) and meridional ocular magnification (MOM) with consequent image distortions have been widely ignored in modern cataract surgery. The purpose of this study was to investigate OOM and MOM in a general situation with an astigmatic refracting surface. Methods From a large dataset containing biometric measurements (IOLMaster 700) of both eyes of 9734 patients prior to cataract surgery, the equivalent (PIOLeq) and cylindric power (PIOLcyl) were derived for the HofferQ, Haigis, and Castrop formulae for emmetropia. Based on the pseudophakic eye model, OOM and MOM were extracted using 4 × 4 matrix algebra for the corrected eye (with PIOLeq/PIOLcyl (scenario 1) or with PIOLeq and spectacle correction of the residual refractive cylinder (scenario 2) or with PIOLeq remaining the residual uncorrected refractive cylinder (blurry image) (scenario 3)). In each case, the relative image distortion of MOM/OOM was calculated in %. Results On average, PIOLeq/PIOLcyl was 20.73 ± 4.50 dpt/1.39 ± 1.09 dpt for HofferQ, 20.75 ± 4.23 dpt/1.29 ± 1.01 dpt for Haigis, and 20.63 ± 4.31 dpt/1.26 ± 0.98 dpt for Castrop formulae. Cylindric refraction for scenario 2 was 0.91 ± 0.70 dpt, 0.89 ± 0.69 dpt, and 0.89 ± 0.69 dpt, respectively. OOM/MOM (× 1000) was 16.56 ± 1.20/0.08 ± 0.07, 16.56 ± 1.20/0.18 ± 0.14, and 16.56 ± 1.20/0.08 ± 0.07 mm/mrad with HofferQ; 16.64 ± 1.16/0.07 ± 0.06, 16.64 ± 1.16/0.18 ± 0.14, and 16.64 ± 1.16/0.07 ± 0.06 mm/mrad with Haigis; and 16.72 ± 1.18/0.07 ± 0.05, 16.72 ± 1.18/0.18 ± 0.14, and 16.72 ± 1.18/0.07 ± 0.05 mm/mrad with Castrop formulae. Mean/95% quantile relative image distortion was 0.49/1.23%, 0.41/1.05%, and 0.40/0.98% for scenarios 1 and 3 and 1.09/2.71%, 1.07/2.66%, and 1.06/2.64% for scenario 2 with HofferQ, Haigis, and Castrop formulae. Conclusion Matrix representation of the pseudophakic eye allows for a simple and straightforward prediction of OOM and MOM of the pseudophakic eye after cataract surgery. OOM and MOM could be used for estimating monocular image distortions, or differences in overall or meridional magnifications between eyes.

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All biometric components are important in anisometropia, not just axial length

Cited by 27 publications

References 20 publications

Anisometropia of ocular refractive and biometric measures among 66‐ to 79‐year‐old female twins

Anisometropia of ocular refractive and biometric measures among 66‐ to 79‐year‐old female twins

Biometry: a tool for the detection of amblyopia risk factor in children

Meridional ocular magnification after cataract surgery with toric and non-toric intraocular lenses

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