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Selective retina therapy: toward an optically controlled automatic dosing.

Eric Seifert1, Jan Tode2, Amelie Pielen3

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Summary
This summary is machine-generated.

This study introduces an algorithm to detect microbubble formation during selective retina therapy (SRT). The algorithm accurately identifies retinal pigment epithelium cell damage, aiding treatment guidance.

Keywords:
algorithmlasers in medicineophthalmologyretinal pigment epitheliumselective retina therapyselectivity

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Laser Medicine

Background:

  • Selective Retina Therapy (SRT) uses pulsed laser irradiation to target the retinal pigment epithelium (RPE).
  • Microbubble formation (MBF) within RPE melanin granules induces selective cell disruption, initiating a regenerative wound healing process.
  • The precise energy threshold for RPE effects varies significantly between individuals, complicating treatment delivery.

Purpose of the Study:

  • To evaluate an algorithm designed to detect MBF, an indicator of RPE cell damage, by analyzing backscattered laser light.
  • To provide a method for guiding or automating microbubble-related treatments where RPE lesions are not directly visible during therapy.

Main Methods:

  • An algorithm was developed to process backscattered light from SRT treatment.
  • Eleven patients with central serous chorioretinopathy and four with diabetic macula edema were treated.
  • A 527 nm wavelength laser with 100 Hz repetition rate and 1.7 μs pulse duration was used, applying 4626 pulses for optimization and testing.

Main Results:

  • The algorithm achieved a sensitivity of 1 and a specificity of 0.93 in detecting MBF and RPE cell damage.
  • Fluorescein angiography was used to verify the algorithm's performance.
  • The algorithm successfully identified RPE lesions invisible during treatment.

Conclusions:

  • The developed algorithm effectively detects microbubble formation, indicating RPE cell damage during SRT.
  • This method offers a reliable approach for guiding or automating microbubble-based ophthalmic treatments.
  • Potential applications include SRT and selective laser trabeculoplasty, improving treatment precision and outcomes.