ClinicalTrials.Veeva

Menu

Neovascularization Patterns in Corneal Graft Rejection

University of Michigan logo

University of Michigan

Status

Completed

Conditions

Corneal Transplant

Study type

Observational

Funder types

Other

Identifiers

NCT01695655
Neovasc-6281

Details and patient eligibility

About

Corneal transplantation is the most commonly performed human tissue transplant worldwide. Over 40,000 corneal transplants occur in the US each year. .

This study will determine specific corneal neovascularization (CN) patterns in human corneal allograft recipients to determine the characteristics that worsen the prognosis for graft survival. We will test the hypothesis that specific characteristics of CN are prognostic for corneal allograft rejection.

Full description

The investigators hope to enroll 240 subjects into the study. These patients will be enrolled prior to penetrating keratoplasty. They will be examined by the full protocol preoperatively, and postoperatively at 1 week, 1, 3, 6, 12, 18, and 24 months. During these visits slit lamp biomicroscopy will be used to study CN patterns, and take slit lamp photographs if there is any neovascularization detected, permitting us to develop algorithms of CN characteristics that are predictive for corneal allograft rejection and failure. The corneal tissue removed during these patients' surgeries will be evaluated histopathologically to identify inflammation and neovascularization to confirm and compare to what is seen clinically. There will be two short questionnaires conducted at each visit to assess stress levels.

Enrollment

44 patients

Sex

All

Ages

18 to 99 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • scheduled for corneal transplant

Exclusion criteria

  • previous corneal transplant

Trial design

44 participants in 1 patient group

PKP
Description:
Subjects undergoing penetrating keratoplasty

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems