Matthew Au

University College London

Papers

2

Total Citations

31

H-Index

2

About

Matthew Au is a surgical oncologist whose research focuses on improving the precision of robot-assisted radical prostatectomy through advanced intraoperative imaging. His major contributions center on the development and validation of the LaserSAFE technique, a novel application of fluorescence confocal microscopy (FCM) that enables real-time, microscopic assessment of surgical margins during prostate cancer surgery. In his landmark 2024 study, Au demonstrated the accuracy of LaserSAFE in detecting positive surgical margins through a blinded, inter-rater agreement analysis, achieving 19 citations and establishing a new standard for intraoperative margin evaluation. His earlier 2023 work, with 12 citations, refined the FCM protocol to enhance image quality and workflow integration. Collectively, Au’s research addresses a critical clinical challenge—reducing positive margin rates and the need for secondary treatments—by providing surgeons with immediate, high-resolution feedback on tissue excision completeness. His work has been recognized for its potential to replace traditional frozen section analysis, offering faster, more reliable results. Au’s contributions are particularly impactful for urologic oncology, where margin status directly influences patient outcomes and quality of life.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy of the LaserSAFE technique for detecting positive surgical margins during robot‐assisted radical prostatectomy: blind assessment and inter‐rater agreement analysis
19 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University College London

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago