Neutral clinical comparison
Corneal ectasia screening systems and their roles
Corneal ectasia screening tools answer different questions. A clinical risk score, a tomographic deviation index, a biomechanical classifier and a workflow-level decision-support application should not be treated as interchangeable tests.
| System or information source | Primary role | Important boundary |
|---|---|---|
| Randleman ERSS | Classical multivariable preoperative LASIK risk framework | Predates several modern tomography and biomechanics indices; retain its original evidence context. |
| Pentacam Final BAD-D | Composite deviation signal derived from anterior/posterior elevation and pachymetric behavior | It is one tomographic channel, not a complete procedure-safety assessment. |
| Topometric and pachymetric indices | Describe surface irregularity, asymmetry and thickness progression | Device labels and thresholds require scan-quality review and clinical interpretation. |
| Biomechanical indices such as CBI/TBI | Add deformation-response information to morphologic assessment | Availability and validation depend on the required device, population and version. |
| SCORE, PRFI and other validated classifiers | Estimate ectasia or susceptibility patterns from defined data sets | Performance evidence applies to the studied acquisition method, cohort and implementation. |
| CER-AI | Organizes source-linked Pentacam values, independent risk pathways and procedure-specific tissue safety in one auditable workflow | Clinical decision support; not an autonomous diagnostic model and not yet externally validated as a complete product. |
Why CER-AI keeps pathways separate
CER-AI — Corneal Ectasia Risk Assessment Intelligence does not average unlike systems into one opaque probability. It displays ERSS, Final BAD-D, CER-AI-adapted NICE and PS3 independently, then keeps tissue-safety and procedure eligibility checks separate. This makes disagreement and missingness visible to the surgeon.
Does a comparison identify one universally best system?
No. Published performance varies with device, case definition, population, disease spectrum and software version. The clinically useful question is whether the available systems provide complementary, reliable information for the specific patient and planned procedure.
Trace the evidence
Use the clinical evidence map and reference registry to distinguish original descriptions, validations, reviews and manufacturer documentation. Read what is recommended for preoperative ectasia screening for the broader clinical workflow.
Selected validation and comparison sources
- Independent validation of the Randleman ERSS.
- Belin/Ambrósio Pentacam ectasia-screening module and an early-keratoconus performance study.
- AI-enhanced tomography / PRFI-related assessment.
- External validation of SCORE in Asian eyes.
- Corvis ST biomechanical parameter evaluation.
- Comparative accuracy analysis of three ectasia risk scoring systems.
Assessment before laser vision correction (göz çizdirme)
LASIK and PRK are commonly called göz çizdirme in Turkey. CER-AI supports AI-assisted assessment before laser eye surgery through Pentacam image reading, independent ectasia risk pathways and corneal tissue-safety checks for surgeon review.