Comparison of intraocular lens power prediction using immersion ultrasound and optical biometry with and without formula optimization

Németh, Gábor; Nagy, Attila; Berta, András; Módis, László

doi:10.1007/s00417-012-2013-9

Cited by 28 publications

(21 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…illustrated that optimization of A-constant was the main factor leading to significantly better outcomes. [5] For getting the best out of using the personal A-constant, surgeons need to use the personalized A-constant obtained after operating on the non-dominant eye in the calculations for the fellow dominant eye. It is important to know the patients who are suitable to get the best benefits out of personalization of their A-constant.…”

mentioning

confidence: 99%

Personal A-constant in relation to axial length with various intraocular lenses

Eldaly

Mansour

2014

Indian J Ophthalmol

View full text Add to dashboard Cite

Purpose:To study the relationship between the axial length and personal A-constant for the 1-piece Tecnis (Abbott ZCB00), AcrySof MA60AC (Alcon) and the Quatrix aspheric preloaded (CROMA) intraocular lenses (IOL).Materials and Methods:Patients matching the inclusion criteria were further subdivided according to the implanted IOL in this prospective comparative study. The obtained refractive outcomes were introduced into the formula installed in the biometry machine (Humphrey model 820 ultrasonic biometer) to obtain the personal A-constant for each eye. Polynomial regression analysis was done to study the individualized A-constant for each type of IOL in relation to preoperative axial length measurement.Results:Two hundred and forty five eyes of 186 patients were enrolled into this study, of whom 73 eyes with Tecnis 1-piece, 116 eyes with MA60AC, and 56 eyes with Quatrix. The median of personalized A-constant for Tecnis 1-piece, MA60AC, and Quatrix were 119.21 (SD 1.3, Std. Mean error 0.15), 119 (SD 1.2, Std. Mean error 0.11) and 120.4 (SD 1.2, Std. Mean error 0.16) respectively. Regression plots for the same range of axial length among all the groups showed that the Tecnis1 group followed the same pattern of the Quatrix group in which there was a linear relationship of a trend towards myopia when the axial length had increased and a hyperopic shift when decreased. This relationship changed into a plateau when the axial length became in the range of 23.5 mm to 27 mm in the MA60AC group.Conclusions:Personal A-constant follows different trends with different IOLs even for the same range of axial length.

show abstract

mentioning

confidence: 99%

Personal A-constant in relation to axial length with various intraocular lenses

Eldaly

Mansour

2014

Indian J Ophthalmol

View full text Add to dashboard Cite

show abstract

“…11 More recent studies than those available at the time the guidelines were written suggest that this target is easily achievable, and that more than 90% within ± 1 D and 60% within ± 0.5 D would not be unreasonable expectations. 10,16,31 Many departments and surgeons would be very satisfied with such results.…”

Section: Discussionmentioning

confidence: 99%

“…15 In general, however, immersion ultrasound produces more accurate predictions than contact ultrasound, 8 approaching or matching those of the optical methods. 16,17 If immersion ultrasound was adopted as the second-line investigation for eyes in which optical biometry fails, then outcomes could be improved from 82.5% within ± 1 D of target 10 to between 85.7 and 94.3%. 18,19 The impact of such improvement on the patient population as a whole is dependent upon the proportion requiring ultrasound biometry; assuming a rate of 10% then between 0.3 and 1.2% more eyes overall could achieve within ± 1 D of target as a result of this change in practice.…”

Section: Axial Length Measurementmentioning

confidence: 99%

“…29 The process of constant optimisation has little effect on the dispersion of outcomes around the mean (ie, the standard deviation, SD), 29 but maximises the proportion of eyes within a particular target range and minimises the MAE (see Appendix for a discussion of the relationship between ME, MAE, and SD). IOL constant optimisation has been shown to improve substantially prediction accuracy for contact ultrasound (from 79.7 to 82.5% within ± 1 D), 10 immersion ultrasound (from 60% to 65% within ± 0.5 D), 16 and with optical biometry (from 76-89% to 92-94% within ±1 D, dependent upon IOL model and formula). 31 The latter study used constants intended for contact ultrasound as the baseline, 31 and in practice, the magnitude of the improvement to be gained from IOL constant optimisation depends on how close the optimised and baseline constants are found to be.…”

Section: Iol Constant Selection and Optimisationmentioning

confidence: 99%

See 1 more Smart Citation

Optimising biometry for best outcomes in cataract surgery

Sheard

2013

Eye

View full text Add to dashboard Cite

Biometry has become one of the most important steps in modern cataract surgery and, according to the Royal College of Ophthalmologists Cataract Surgery Guidelines, what matters most is achieving excellent results. This paper is aimed at the NHS cataract surgeon and intends to be a critical review of the recent literature on biometry for cataract surgery, summarising the evidence for current best practice standards and available practical strategies for improving outcomes for patients. With modern optical biometry for the majority of patients, informed formula choice and intraocular lens (IOL) constant optimisation outcomes of more than 90% within ± 1 D and more than 60% within ± 0.5 D of target are achievable. There are a number of strategies available to surgeons wishing to exceed these outcomes, the most promising of which are the use of strict-tolerance IOLs and second eye prediction refinement.

show abstract

“…Fuzzy mathematics comprehensive evaluation theory is considered to be a mathematical method especially in the sensory evaluation of food quality, and very suitable to deal with the fuzzy concepts and things. It can eliminate the negative influence of subjective scoring arbitrariness and one-sidedness thereby obtaining relatively objective test results [10,13,14].…”

Section: Discussionmentioning

confidence: 99%

Oil Tea Soup Formula Optimization Based on Orthogonal Test and Fuzzy Mathematics Sensory Evaluation

Fen¹,

Rende²,

Liu³

et al. 2017

JFSE

View full text Add to dashboard Cite

Abstract:The aim of this study is to optimize the formula of oil soup, which was one of traditional food of Guangxi province, south China. Tea leaves, bone soup, beans and other minor ingredients in the formula of oil tea soup are selected as the research objects. The sensory evaluation factors such as flavor, taste, color, aroma were selected to optimize the formula of oil tea soup based on orthogonal test and fuzzy mathematics comprehensive evaluation. The results showed the most important factor that affected the quality of the oil tea soup was tea leaves content, followed by the proportion of bone soup, minor ingredient and beans content. The study indicated that the optimal recipe of oil tea soup was as follow: 0.6% tea, 0.4% beans, and 0.5% other ingredients. The ratio of material to solution of bone soup was 1:5.

show abstract

Comparison of intraocular lens power prediction using immersion ultrasound and optical biometry with and without formula optimization

Abstract: According to our results, optical biometry offers only slightly better outcomes compared to those of immersion shell with no optimized formulas. However, in case of new generation formulas with both methods, the optimization of IOL-constants give significantly better results.

Cited by 28 publications

References 35 publications

Personal A-constant in relation to axial length with various intraocular lenses

Personal A-constant in relation to axial length with various intraocular lenses

Optimising biometry for best outcomes in cataract surgery

Oil Tea Soup Formula Optimization Based on Orthogonal Test and Fuzzy Mathematics Sensory Evaluation

Contact Info

Product

Resources

About