ArticleJournal of biomedical optics2026
Robot-assisted minimally invasive photoacoustic imaging for monitoring liver ablation using diffusing fiber illumination.
Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Intensity Variance-Guided Automated Robotic Optical Coherence Tomography System for Ophthalmic Applications.Journal of biophotonics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Significance: Accurate intraoperative assessment of ablation completeness in liver radiofrequency ablation (RFA) remains a clinical challenge, as conventional imaging lacks real-time capability to delineate necrotic boundaries. Incomplete ablation increases recurrence risk, underscoring the need for real-time, high-resolution imaging with functional tissue differentiation. Aim: We propose a robot-assisted photoacoustic (PA) imaging system employing a customized diffusing optical fiber to improve intraoperative monitoring of liver RFA. Approach: The system integrates circumferential wide-field illumination for enhanced tissue coverage with robotic automated 3D scanning and co-registered ultrasound. Spectroscopic PA imaging differentiates necrotic from viable tissue based on optical absorption, whereas a standard Hough transform algorithm suppresses fiber-induced artifacts. Validation was performed using Results: In cadaveric studies, 3D lesion mapping showed necrotic zones of Conclusions: The proposed system enables accurate, real-time visualization of ablation lesions
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Registered trials
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