ArticlePhotoacoustics2022
Algorithms for optoacoustically controlled selective retina therapy (SRT).
Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Long-term outcomes of titration-guided focal selective retina therapy for chronic central serous chorioretinopathy: retrospective real-world data analysis.BMC ophthalmology · 2026Article
- Non-damaging laser treatment with electroretinography-based thermal dosimetry activates hormetic heat response in pig retinal pigment epithelium.Nature communications · 2025Article
- Ultrafast measurement of laser-induced shock waves.Photoacoustics · 2023Article
- Long-Term Multimodal Imaging Analysis of Selective Retina Therapy Laser Lesions.Life (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesSelective Retina Therapy (SRT) uses microbubble formation (MBF) to target retinal pigment epithelium (RPE) cells selectively while sparing the neural retina and the choroid. Intra- and inter-individual variations of RPE pigmentation makes frequent radiant exposure adaption necessary. Since selective RPE cell disintegration is ophthalmoscopically non-visible, MBF detection techniques are useful to control adequate radiant exposures. It was the purpose of this study to evaluate optoacoustically based MBF detection algorithms.
methodsFifteen patients suffering from central serous chorioretinopathy and diabetic macula edema were treated with a SRT laser using a wavelength of 527 nm, a pulse duration of 1.7 µs and a pulse energy ramp (15 pulses, 100 Hz repetition rate). An ultrasonic transducer for MBF detection was embedded in a contact lens. RPE damage was verified with fluorescence angiography.
resultsAn algorithm to detect MBF as an indicator for RPE cell damage was evaluated. Overall, 4646 irradiations were used for algorithm optimization and testing. The tested algorithms were superior to a baseline model. A sensitivity/specificity pair of 0.96/1 was achieved. The few false algorithmic decisions were caused by unevaluable signals.
conclusionsThe algorithm can be used for guidance or automatization of microbubble related treatments like SRT or selective laser trabeculoplasty (SLT).
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