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Using Micro-computed Tomography for the Assessment of Tumor Development and Follow-up of Response to Treatment in a Mouse Model of Lung Cancer

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SU-E-J-161: Biomechanical Framework for Thoracic Tumors Characteristics.

D Michalski¹, G Kubicek¹, D Heron¹

¹University of Pittsburgh Medical Center, Pittsburgh, PA.

Medical Physics

|May 19, 2017

Summary

This study used a biomechanical framework and 4DCT scans to analyze thoracic tumor motion, finding minimal deformation. This objective method can assess anatomical changes during treatment and may predict therapeutic success.

Keywords:

Anatomy Anisotropy Biomechanics Cancer Computed tomography Elasticity Image registration Kinematics Tensor methods Tissues

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Area of Science:

Medical Physics
Biomechanics
Radiotherapy

Background:

Respiration causes thoracic tumor movement, complicating radiotherapy.
Characterizing tumor kinematics is crucial for accurate treatment planning.

Purpose of the Study:

To apply a biomechanical framework using strain analysis to objectively characterize thoracic tumor kinematics.
To evaluate the feasibility of using this framework for quantitative assessment of tumor motion and deformation.

Main Methods:

Utilized 4DCT scans (4-dimensional computed tomography) to obtain tumor displacements between inhalation and exhalation phases.
Calculated the averaged right Cauchy-Green strain tensor for 15 thoracic Gross Tumor Volumes (GTVs) using Log-Euclidean averaging.
Determined fractional and geodesic anisotropy of the strain tensor to quantify deformation.

Main Results:

GTV motion amplitude averaged 1.2 cm, with sizes ranging from 5.16 to 149.99 cc.
Insignificant tumor deformation was observed, with Log-Euclidean distances from the identity matrix averaging 0.19.
Low fractional (average 0.07) and geodesic (average 0.09) anisotropy further indicated minimal deformation.

Conclusions:

A biomechanical framework provides objective, quantitative characterization of thoracic tumor kinematics.
This method enables non-interpretive evaluation of anatomical changes during and after treatment.
Objective biomechanical characteristics may correlate with treatment outcomes and predict therapeutic success.