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Needle insertion force estimation model using procedure-specific and patient-specific criteria.

T K Podder¹, J Sherman, E M Messing

¹Dept. of Radiation Oncology, University of Rochester, Rochester, NY 14642, USA.

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

|October 20, 2007

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Surgical needle deflection during prostate brachytherapy can lead to inaccurate seed placement. Developed statistical models estimate insertion force, aiming to improve needle control and enhance treatment accuracy.

Area of Science:

Medical physics
Biomechanical engineering
Surgical oncology

Background:

Prostate brachytherapy involves precise placement of radioactive seeds using needles.
Needle deflection during insertion can cause seeds to be misplaced, potentially underdosing tumors or overdosing critical organs.
Factors influencing needle deflection include procedure-specific and patient-specific criteria.

Purpose of the Study:

To develop statistical models for predicting needle insertion force in soft biological tissues.
To identify key procedure-specific and patient-specific factors affecting needle insertion.
To provide a method for controlling needle deflection and improving seed delivery accuracy in prostate brachytherapy.

Main Methods:

Development of statistical models to analyze needle insertion forces.

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Incorporation of both procedure-specific and patient-specific variables into the models.

Validation of models for estimating needle forces during insertion.

Main Results:

The developed models can estimate the forces a surgical needle will encounter during insertion.
These models account for critical factors influencing needle deflection.
The findings provide a basis for controlling needle movement and enhancing seed placement precision.

Conclusions:

Statistical modeling of needle insertion forces is crucial for improving prostate brachytherapy accuracy.
Understanding and controlling insertion forces can mitigate needle deflection and its adverse effects.
The developed models offer a promising approach to enhance seed delivery accuracy and optimize radiation dose distribution.