ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2024
Prediction of IOL decentration, tilt and axial position using anterior segment OCT data.
Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Freeform extended depth-of-focus intraocular lens for more robust performance against physiological variations.Journal of biomedical optics · 2026Article
- Refraction and anatomical lens position predictability in phacovitrectomy using a 7 mm optic with cutout haptics versus a 6 mm optic with C-loop haptics.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Investigating the correlation between scleral spur angle and intraocular lens tilt.Journal of cataract and refractive surgery · 2026Article
- Predicting Postoperative Anterior Chamber Depth, Intraocular Lens Tilt, and Decentration Using an Internally Validated Machine Learning Model.Ophthalmology and therapy · 2026Article
- Clinical and simulated impact of intraocular lens tilt and decentration based on real-world data and optical simulation.Scientific reports · 2025Article
- Association of intraocular lens tilt and decentration with visual acuity using SS-OCT-based analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Clinical impact of intraocular lens tilt and decentration: a cross-sectional study.BMC ophthalmology · 2025Article
- Morphologic features of crystalline lens in cataract patients with different lens sclerosis and axial length.BMC ophthalmology · 2025Article
- Characteristics and factors associated with diameter deviation of rhexis reference circle generated by an image-guided system in cataract surgery: a cross-sectional study.Scientific reports · 2024Article
- Geometry of Modern Presbyopia-Correcting Intraocular Lenses and Changes in Haptic-Capsular Bag Behavior According to Compression and Different Well Diameters: A Bench Study Using Computed Tomography.Ophthalmology and therapy · 2024Article
- The Clinical Usefulness of Evaluating the Lens and Intraocular Lenses Using Optical Coherence Tomography: An Updated Literature Review.Journal of clinical medicine · 2024Review
- Analysis of intraocular lens tilt and decentration after cataract surgery in eyes with high myopia using the anterior segment optical coherence tomography.Scientific reports · 2024Article
- IOL decentration sensitivity according to spatial frequencies.BMJ open ophthalmology · 2024Article
- Article
- Article
- Intraocular lens power calculation formulas: a scientometric analysis.Medical hypothesis, discovery & innovation ophthalmology journal · 2023Article
- Lens Thickness in Infants and Children with Cataracts.Ophthalmology scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntraocular lenses (IOLs) require proper positioning in the eye to provide good imaging performance. This is especially important for premium IOLs. The purpose of this study was to develop prediction models for estimating IOL decentration, tilt and the axial IOL equator position (IOLEQ) based on preoperative biometric and tomographic measures.
methodsBased on a dataset (N = 250) containing preoperative IOLMaster 700 and pre-/postoperative Casia2 measurements from a cataractous population, we implemented shallow feedforward neural networks and multilinear regression models to predict the IOL decentration, tilt and IOLEQ from the preoperative biometric and tomography measures. After identifying the relevant predictors using a stepwise linear regression approach and training of the models (150 training and 50 validation data points), the performance was evaluated using an N = 50 subset of test data.
resultsIn general, all models performed well. Prediction of IOL decentration shows the lowest performance, whereas prediction of IOL tilt and especially IOLEQ showed superior performance. According to the 95% confidence intervals, decentration/tilt/IOLEQ could be predicted within 0.3 mm/1.5°/0.3 mm. The neural network performed slightly better compared to the regression, but without significance for decentration and tilt.
conclusionNeural network or linear regression-based prediction models for IOL decentration, tilt and axial lens position could be used for modern IOL power calculation schemes dealing with 'real' IOL positions and for indications for premium lenses, for which misplacement is known to induce photic effects and image distortion.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.