Keisuke Goda: Real-Time and Image-Based Monitoring of Thrombosis During ECMO
Keisuke Goda, Professor at The University of Tokyo, and Adjunct Professor at University of California, shared a post on LinkedIn about a recent article he and his colleagues co-authored, adding:
“Excited to share our new paper on real-time, image-based monitoring of thrombosis during ECMO.
ECMO can be life-saving for severe cardiac or respiratory failure—but intra-circuit thrombosis remains a major complication, occurring in up to ~35% of patients even with anticoagulation. Today’s monitoring often depends on visual inspection or indirect lab assays, which can miss early thrombus formation.
In this work, we introduce a direct, quantitative, real-time strategy: large-scale, image-based phenotyping of circulating platelets to track intra-circuit thrombogenesis during ECMO. Using an optofluidic time-stretch microscope (780 nm spatial resolution; >10,000 events/sec) and deep learning, we continuously tracked single platelets, platelet–platelet aggregates, and platelet–leukocyte aggregates.
Key findings:
- Circulating platelet aggregates rose significantly before pump exchange events (p = 0.0026), supporting their value as an early warning signal for intra-circuit thrombosis.
- The approach distinguished thrombosis from systemic inflammation (only platelet–leukocyte aggregates increased during inflammation).
- Aggregate levels correlated with lactate dehydrogenase (LDH), linking thrombosis signals to hemolysis or tissue injury.
Overall, our results show that high-throughput, image-based platelet phenotyping can provide a sensitive, real-time tool for ECMO monitoring—enabling earlier risk detection and helping guide optimized anticoagulant management.
If you’re working on ECMO, thrombosis, hematology, or high-throughput imaging/AI for clinical monitoring, I’d love to connect and discuss.”
Title: Early detection and real-time monitoring of thrombogenesis in extracorporeal circuits through large-scale image-based profiling of circulating platelets
Authors: Junyu Chen, Yuya Nobori, Yuqi Zhou, Minoru Ono, Jun Nakajima, Huidong Wang, Masaki Anrakuand Keisuke Goda
Read the Full Article on Journal of Physics: Photonics
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