Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Evaluation of concave dose distributions created using an inverse planning system.

Margie A Hunt1, Ching-Yeh Hsiung, Spirodon V Spirou

  • 1Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA. huntm@mskcc.org

International Journal of Radiation Oncology, Biology, Physics
|October 16, 2002
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quantitative Assessment of Lipiodol-Related Artifact Reduction for Dual-Energy Computed Tomography After Transcatheter Arterial Chemoembolization: A Phantom Study Evaluating the Use of Metal Artifact Reduction Algorithms.

Journal of computer assisted tomography·2023
Same author

Validation of Virtual Monochromatic Images and Effect of Body Size Obtained Using a Rapid kVp-switching Dual-energy Computed Tomography System: A Phantom Study.

Health physics·2022
Same author

Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy.

INFORMS journal on applied analytics·2022
Same author

Dosimetric evaluation of irradiation geometry and potential air gaps in an acrylic miniphantom used for external audit of absolute dose calibration for a hybrid 1.5 T MR-linac system.

Journal of applied clinical medical physics·2021
Same author

A phantom study to evaluate three different registration platform of 3D/3D, 2D/3D, and 3D surface match with 6D alignment for precise image-guided radiotherapy.

Journal of applied clinical medical physics·2020
Same author

Clinical Experience of Automated SBRT Paraspinal and Other Metastatic Tumor Planning With Constrained Hierarchical Optimization.

Advances in radiation oncology·2020

Optimizing radiation therapy for concave targets requires careful adjustment of dose constraints based on target-normal tissue geometry. Iterative refinement of constraints ensures the best balance between target coverage and normal tissue sparing.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Treatment Planning

Background:

  • Inverse treatment planning aims to optimize radiation dose distributions.
  • Concave targets near normal tissues present unique planning challenges.
  • Understanding geometric and constraint impacts is crucial for effective planning.

Purpose of the Study:

  • To develop optimal inverse treatment planning strategies.
  • To evaluate strategies for treating concave targets adjacent to normal tissues.

Main Methods:

  • Used idealized cylindrical phantom geometry with concave targets (PTV) and normal tissues (NT).
  • Varied target-normal tissue separation (5-13 mm) and radii of curvature.
  • Adjusted dose constraints and penalties for PTV and NT, evaluating plan quality using uniformity and maximum NT dose metrics.

Related Experiment Videos

Main Results:

  • Achievable PTV uniformity and NT dose often exceeded constraints, especially with small separations or strict NT limits.
  • Dose distributions varied significantly with PTV-NT separation and constraint parameters.
  • Increasing beam count improved plan quality, particularly for challenging geometries.

Conclusions:

  • Optimized dose distributions are highly sensitive to constraint parameters and target-normal tissue geometry.
  • Iterative, patient-specific constraint adjustment is necessary beyond standard templates.
  • Increasing beam numbers can improve outcomes in difficult cases, while overly strict constraints may be detrimental.