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Radiation: Applications01:17

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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
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Stereotactic Radiosurgery for Gynecologic Cancer
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Many-isocenter optimization for robotic radiotherapy.

Qihui Lyu1, Ryan Neph1, Victoria Y Yu1

  • 1Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA 90095, United States of America.

Physics in Medicine and Biology
|December 19, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel many-isocenter optimization framework for robotic radiotherapy, enhancing high-resolution intensity-modulated radiotherapy (IMRT) for large tumors. The method significantly improves dose distribution and reduces organ-at-risk toxicity while maintaining clinical delivery efficiency.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Technology

Background:

  • Clinical implementation of 4π non-coplanar radiotherapy faces challenges with C-arm gantry systems due to limited clearance and complex motion coordination.
  • Robotic radiotherapy platforms offer potential for advanced treatments but require managing conflicts between field size and modulation resolution.

Purpose of the Study:

  • To investigate the dosimetry and delivery efficiency of using multiple isocenters for 4π intensity-modulated radiotherapy (IMRT).
  • To develop an integrated optimization framework for simultaneous beam orientation, isocenter selection, and fluence map optimization.
  • To achieve high MLC modulation resolution and large tumor coverage on a robotic radiotherapy platform.

Main Methods:

  • An integrated optimization framework was developed, incorporating least-square dose fidelity, total variation regularization, and group sparsity for beam selection.
  • Simultaneous optimization of beam orientation (BOO), isocenter selection, and fluence map optimization (FMO) was performed.
  • High-resolution small-field (SID-50) 4π IMRT plans were compared with low-resolution large-field (SID-100) plans for 10 Head and Neck cancer patients.

Main Results:

  • The many-isocenter approach achieved clinically acceptable delivery efficiency with dosimetric advantages.
  • Significant reductions in OAR dose (Dmean, Dmax), R50, and integral dose were observed for SID-50 plans compared to SID-100 plans.
  • PTV homogeneity and coverage were maintained or improved, with statistically significant differences (p < 0.05) in key dosimetric parameters.

Conclusions:

  • Many-isocenter optimization is dosimetrically desirable for treating large targets with high modulation resolution on robotic radiotherapy platforms.
  • This approach offers significant improvements in dose sparing for organs at risk.
  • The proposed framework enables efficient and effective advanced radiotherapy delivery.