F
Frederico P. Guerra
Researcher at Instituto Benjamin Constant
Publications - 17
Citations - 1232
Frederico P. Guerra is an academic researcher from Instituto Benjamin Constant. The author has contributed to research in topics: Ectasia & Keratoconus. The author has an hindex of 8, co-authored 17 publications receiving 1044 citations.
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Journal ArticleDOI
Descemet's membrane endothelial keratoplasty: prospective study of 1-year visual outcomes, graft survival, and endothelial cell loss.
TL;DR: DMEK had better visual acuity results in the first year after surgery than typically reported for other endothelial keratoplasty techniques, while having less refractive changes and similar endothelial cell counts but a higher rebubbling rate.
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Novel Pachymetric Parameters Based on Corneal Tomography for Diagnosing Keratoconus
Renato Ambrósio,Ana Laura C. Caiado,Frederico P. Guerra,Ricardo N Louzada,Abhijit Sinha Roy,Allan Luz,William J. Dupps,Michael W. Belin +7 more
TL;DR: Tomographic-derived pachymetric parameters were better able to differentiate normal and keratoconic corneas than single-point pachymetry measurements and the role of tomography in identifying early forms of ectasia as well as ectasia risk among LASIK candidates is needed.
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Endothelial keratoplasty: fellow eyes comparison of Descemet stripping automated endothelial keratoplasty and Descemet membrane endothelial keratoplasty.
TL;DR: The majority of the patients preferred or would recommend the DMEK procedure and faster visual recovery and better final visual acuity were the main benefits of theDMEK technique.
Journal ArticleDOI
Corneal ectasia after LASIK despite low preoperative risk: tomographic and biomechanical findings in the unoperated, stable, fellow eye.
Renato Ambrósio,Daniel G. Dawson,Marcella Q. Salomão,Frederico P. Guerra,Ana Laura C. Caiado,Michael W. Belin +5 more
TL;DR: Three-dimensional corneal tomographic and ORA biomechanical measurements provide additional information that may help identify individuals at high risk for naturally occurring or iatrogenic corNEal ectasia.
Journal ArticleDOI
Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.
Bernardo Lopes,Isaac Ramos,Marcella Q. Salomão,Frederico P. Guerra,Steve Schallhorn,Julie M. Schallhorn,Riccardo Vinciguerra,Paolo Vinciguerra,Francis W. Price,Marianne O. Price,Dan Z. Reinstein,Timothy J Archer,Michael W. Belin,Aydano Pamponet Machado,Renato Ambrósio +14 more
TL;DR: The random forest (RF) provided highest accuracy among AI models in this sample with 100% sensitivity for clinical ectasia with a named Pentacam Random Forest Index (PRFI), which enhances ectasia diagnosis.