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Related Experiment Video

Updated: Jun 23, 2026

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

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Published on: March 30, 2015

Intraoperative Multi-Sensor Tissue Differentiation in (Uro-)Oncology - A Short Review.

Carina Veil, Oliver Sawodny

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|March 5, 2025

Summary

This summary is machine-generated.

Novel multimodal sensors offer real-time differentiation of pathological tissues during urological surgeries. These optical, electrical, and mechanical sensors aim to improve surgical precision and patient outcomes by overcoming limitations of traditional histopathology.

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Area of Science:

Biomedical Engineering
Surgical Oncology
Medical Instrumentation

Background:

Histopathological analysis, the current standard for tissue differentiation in oncology, suffers from processing delays, hindering real-time surgical decisions.
Existing methods often fail to provide comprehensive information on tumor extent and heterogeneity, impacting surgical strategy.
Intraoperative assessment requires advanced tools for immediate and accurate pathological tissue identification.

Purpose of the Study:

To present novel multimodal sensors designed for intraoperative tissue differentiation in uro-oncology.
To investigate the potential of optical, electrical, and mechanical measurements for real-time tissue characterization.
To review recent advancements in intraoperative tissue differentiation technologies.

Main Methods:

Development and application of multimodal sensors measuring optical, electrical, and mechanical tissue properties.
Investigation of infrared and Raman spectroscopy, alongside electrical and mechanical measurements, for detecting altered tissue properties.
Utilizing digital frameworks for spatial localization of sensor measurements to enable comprehensive tissue characterization.

Main Results:

Demonstration of novel sensor technologies capable of measuring diverse tissue properties.
Discussion of the suitability of various sensor modalities for identifying pathological tissue changes.
Highlighting the importance of integrated sensor data and spatial localization for accurate tissue assessment.

Conclusions:

Multimodal sensors show significant potential to transform intraoperative tissue assessment in urological oncology.
Real-time feedback from these sensors can enhance diagnostic precision during surgery.
The proposed technologies could lead to improved decision-making and better patient outcomes in urological cancer surgery.