Literature DB >> 3954656

Improving the predictability of intraocular lens power calculations.

J T Holladay, T C Prager, R S Ruiz, J W Lewis, H Rosenthal.   

Abstract

We reviewed the intraocular lens power calculations on 512 posterior chamber lens implantations and determined four ways to reduce the estimated 5% incidence of large postoperative refractive "surprises" (greater than 2 diopters [D]): First, preoperatively identify those patients who have greater than a 1-D difference between the theoretical and linear regression formulas. Second, repeat axial length and corneal power measurements in these patients to eliminate random error. Third, develop an individualized theoretical formula that accounts for constant bias. Fourth, encourage manufacturers to improve instrumentation for measuring corneal power and axial length. We also examined the disparity between the linear regression formula and the curvilinear theoretical formula.

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Mesh:

Year:  1986        PMID: 3954656     DOI: 10.1001/archopht.1986.01050160095020

Source DB:  PubMed          Journal:  Arch Ophthalmol        ISSN: 0003-9950


  13 in total

1.  Predicting the refractive outcome after cataract surgery: the comparison of different IOLs and SRK-II v SRK-T.

Authors:  M J Elder
Journal:  Br J Ophthalmol       Date:  2002-06       Impact factor: 4.638

2.  [Effect of applanation tonometry on precision of biometry measurements].

Authors:  T M Rabsilber; S Bueltmann; M P Holzer; G U Auffarth
Journal:  Ophthalmologe       Date:  2011-01       Impact factor: 1.059

3.  Computerised intraocular lens calculation: clinical results and predictability.

Authors:  T Olsen; C U Andersen; H J Plesner
Journal:  Br J Ophthalmol       Date:  1989-03       Impact factor: 4.638

4.  Partial coherence interferometry versus immersion ultrasonography for axial length measurement in children.

Authors:  Phoebe D Lenhart; Amy K Hutchinson; Michael J Lynn; Scott R Lambert
Journal:  J Cataract Refract Surg       Date:  2010-12       Impact factor: 3.351

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

Authors:  Gabor Nemeth; Attila Nagy; Andras Berta; Laszlo Modis
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2012-04-13       Impact factor: 3.117

6.  Microincisional cataract surgery and Thinoptx rollable intraocular lens implantation.

Authors:  Necdet Cinhüseyinoglu; Lider Celik; Aylin Yaman; Gül Arikan; Tülin Kaynak; Süleyman Kaynak
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2005-11-29       Impact factor: 3.117

7.  The binocular intraocular lens power difference in eyes with different axial lengths.

Authors:  Ming-Hui Deng; Xiao-Gang Wang; Song Chen; Xue-Feng Shi
Journal:  Int J Ophthalmol       Date:  2022-06-18       Impact factor: 1.645

8.  Factors influencing the accuracy of the SRK formula in the intraocular less power calculation.

Authors:  C Kalogeropoulos; M Aspiotis; M Stefaniotou; K Psilas
Journal:  Doc Ophthalmol       Date:  1994       Impact factor: 2.379

9.  Personalized pseudophakic model for refractive assessment.

Authors:  Filomena J Ribeiro; António Castanheira-Dinis; João M Dias
Journal:  PLoS One       Date:  2012-10-03       Impact factor: 3.240

10.  Inter-ocular and inter-visit differences in ocular biometry and refractive outcomes after cataract surgery.

Authors:  Hyun Sup Choi; Hyo Soon Yoo; Yerim An; Sam Young Yoon; Sung Pyo Park; Yong-Kyu Kim
Journal:  Sci Rep       Date:  2020-09-07       Impact factor: 4.379

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