Evidence map›Paper›PMID 42303851›Full record

ArticleAnnals of biomedical engineering2026

Integration of Mechanical Testing, In Vivo Optical Coherence Elastography and Personalized Finite Element Modeling to Predict Geometrical Outcomes of Corneal Cross-Linking.

Matteo Frigelli, Robert Lohmüller, Miguel A Ariza Gracia, Günther Schlunck, Stefan J Lang, Emilio A Torres-Netto, Farhad Hafezi, Philippe Büchler, Sabine Kling

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Matteo FrigelliARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland. matteo.frigelli@unibe.ch.ORCID http://orcid.org/0000-0002-6725-3112
Robert LohmüllerFaculty of Medicine, Eye Center, University of Freiburg, Freiburg, Deutschland.
Miguel A Ariza GraciaARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Günther SchlunckFaculty of Medicine, Eye Center, University of Freiburg, Freiburg, Deutschland.
Stefan J LangDepartment of Ophthalmology, University Hospital Brandenburg, Brandenburg an der Havel, Germany.
Emilio A Torres-NettoELZA Institute AG, Zürich, Switzerland.
Farhad HafeziELZA Institute AG, Zürich, Switzerland.
Philippe BüchlerARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Sabine KlingARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.

Funding

Horizon 2020 956720
6 · The paper itself

Abstract

purposeCorneal cross-linking (CXL) induces both mechanical and geometrical changes in the cornea, which are typically overlooked in pre-operative planning. We developed and calibrated a patient-specific finite element model (FEM) to predict the topographic alterations resulting from CXL and applied it to three patients with keratoconus (KC) as a proof of concept.

methodsTo calibrate the model, we performed nanoindentation and ex vivo optical coherence elastography (OCE) inflation tests before and after CXL on five human donor corneas. Nanoindentation results tuned the visco-hyperelastic parameters, while ex vivo OCE axial strains were used for validation. Personalized corneal models were generated from the topographies of the three KC patients, with regional stiffness in the affected areas adjusted based on axial strain measured by in vivo pressure-modulated OCE. Simulated CXL outcomes were then compared to 6-month clinical results.

resultsCXL induces a 16-fold increase in the fiber-related mechanical parameters and reduces the viscoelasticity time constant by three. In vivo OCE measurements showed an average mechanical weakening of 57% in the KC regions. When compared to the clinical topography at the 6-month follow-up, the CXL-induced curvature changes predicted by the model were -1.5 D vs. -1.76 D, -1.65 D vs. -1.91 D, and -1.76 D vs. -1.57 D, for the three patients, respectively.

conclusionBy combining FEM with in vivo corneal mechanical characterization, patient-specific topographic changes can be predicted, which has the potential to improve the planning of CXL treatments.

Indexed as

CorneaElasticity Imaging TechniquesKeratoconusModels, BiologicalAdultCorneal Cross-LinkingFemaleFinite Element AnalysisHumansMaleTomography, Optical CoherenceCorneal cross-linkingFinite element modellingIn vivo optical coherence elastographyKeratoconusNanoindentation

Identifiers

PMID42303851
PMCPMC13391455

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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.