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Prostate cancer radiation therapy shape variation analysis.

Sze-Nung Leung1,2, Jason A Dowling3,4, Peter Greer5

  • 1University of Queensland, Brisbane, Australia. sze.leung@student.uq.edu.au.

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Principal Component Analysis (PCA) was used to analyze prostate shape changes during external beam radiation therapy (EBRT). Most prostate shape variations occurred early in treatment, suggesting updated contours after the first week could improve radiation planning.

Keywords:
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Area of Science:

  • Oncology
  • Medical Imaging
  • Biostatistics

Background:

  • Prostate cancer is a prevalent global disease in men.
  • External beam radiation therapy (EBRT) is a common treatment modality.
  • Accurate identification of prostate tissue boundaries is critical for effective radiation therapy planning and minimizing side effects.

Purpose of the Study:

  • To investigate prostate shape variations during radiotherapy using Principal Component Analysis (PCA).
  • To analyze the evolution of prostate shape and target tumor volume over an eight-week treatment period.
  • To identify specific regions of significant shape change and determine the timing of these variations.

Main Methods:

  • Utilized 261 mesh prostate surfaces from 33 patients, manually contoured by radiation oncologists.
  • Applied PCA for trajectory analysis to track prostate shape evolution during treatment.
  • Employed PCA for variation pattern analysis to examine changes in target tumor volume.

Main Results:

  • Trajectory analysis identified significant prostate shape variations in the left superior and inferior to posterior-right regions.
  • Variation pattern analysis showed an overall increase in target tumor volume, with the highest variation in the anterior superior region.
  • The majority of prostate shape variations were observed within the first week of treatment.

Conclusions:

  • Prostate shape undergoes significant changes during EBRT, particularly early in the treatment course.
  • Implementing updated contours after the initial week of treatment could enhance the accuracy of target volume definition.
  • These findings support adaptive radiotherapy strategies for improved treatment precision in prostate cancer.