Fabian Derigs
Papers
2
Total Citations
10
H-Index
2
About
Fabian Derigs is a clinical researcher specializing in the optimization of prostate cancer diagnostics, with a focus on improving the accuracy and reliability of image-guided biopsy techniques. His work primarily addresses the critical challenge of inter-operator variability in MRI/transrectal ultrasound (TRUS) fusion-targeted prostate biopsies. In his most cited study (2021, 7 citations), Derigs prospectively evaluated semi-robotic software-based fusion biopsies, demonstrating that multiple procedural steps contribute to target deviation and false-negative results, thereby highlighting the need for standardized protocols. He further advanced the field with a matched-pair analysis (2023, 3 citations) comparing systematic prostate biopsy via conventional TRUS guidance versus software-based predefined 3D-guidance, showing that 3D-guidance can enhance sampling precision. These contributions are vital for reducing diagnostic errors and improving cancer detection rates. Derigs’ research has direct clinical implications, offering urologists and radiologists evidence-based strategies to minimize operator-dependent variability. His work is foundational for the ongoing refinement of semi-automated biopsy systems, positioning him as a key voice in the transition toward more reproducible, software-assisted prostate cancer diagnosis.
Research Focus
Key Achievements
Top Papers
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- 2