Clinical Scorecard: Technology-Driven Fitting

At a Glance

Key Highlights

• Soft contact lenses with identical base curve and diameter can fit differently due to unlabeled parameters like sagittal depth, modulus, and peripheral curves.
• AI can be customized to incorporate patient-specific parameters such as refractive error, lens material preference, replacement schedule, and sagittal depth to optimize lens selection.
• Axial length measurement is critical for quantifying myopia progression and associated pathology risk, enhancing patient communication and management strategies.

Guideline-Based Recommendations

Diagnosis

• Measure patient’s sagittal depth using scleral profilometer or optical coherence tomography (OCT) with anterior segment capabilities.
• Incorporate axial length measurement to assess myopia progression and ocular health risks.
• Use corneal topography and profilometry devices for disease detection and contact lens fitting.

Management

• Utilize AI-driven tools to guide lens selection based on personalized patient data including sagittal depth and refractive parameters.
• Prefer silicone hydrogel lenses unless unavailable, as per practitioner’s customized AI model.
• Monitor myopia progression using axial length data and adjust treatment dosage accordingly.

Monitoring & Follow-up

• Track changes in axial length over time to evaluate myopia control effectiveness.
• Use software tools to graph refractive changes and axial length progression for clearer communication with patients and parents.
• Leverage AI to analyze patient data trends and recommend treatment adjustments.

Risks

• Recognize that axial length is more closely related to ocular pathology risk than dioptric changes alone.
• Understand variability in correlation between axial length changes and refractive error changes when assessing progression.

Patient & Prescribing Data

Patients requiring soft or specialty contact lenses and myopia management, including children with progressing myopia

Personalized lens fitting using AI and sagittal depth data improves fit success; axial length monitoring enhances myopia management and patient communication.

Clinical Best Practices

• Incorporate advanced ocular measurements such as sagittal depth and axial length into routine assessments.
• Integrate AI tools with clinical data and instrument outputs to personalize lens selection and myopia management.
• Maintain convenient access to testing equipment and computing resources to streamline data entry and clinical decision-making.
• Use visual data presentations to improve patient and parent understanding and adherence to treatment plans.

References

• Sagittal depth studies and lens fitting parameters
• Axial length and myopia progression research