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Dose-mass (DM) optimization offers improved organ at risk (OAR) sparing compared to dose-volume (DV) optimization in non-small cell lung cancer (NSCLC) radiotherapy. This study found DM optimization statistically superior for OAR sparing, though results vary by case.

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Cancer Treatment

Background:

  • Radiotherapy planning aims to escalate tumor dose while sparing healthy tissues.
  • Dose-volume (DV) optimization is the current standard, but dose-mass (DM) optimization is emerging as a potential alternative.
  • Evaluating DM optimization's efficacy in non-small cell lung cancer (NSCLC) is crucial.

Purpose of the Study:

  • To compare the effectiveness of dose-mass (DM) optimization against dose-volume (DV) optimization for healthy tissue sparing in NSCLC patients.
  • To quantify differences in organ at risk (OAR) sparing using both DV and DM planning approaches.

Main Methods:

  • Retrospective analysis of 14 NSCLC patient plans, with tumor motion <0.5 cm and no motion management.
  • Performed both DV-based and DM-based optimization using nine-field step-and-shoot intensity-modulated radiation therapy (IMRT).
  • Compared standard dosimetric indices (DIs) and mass-based indices (MIs) for OARs (spinal cord, heart, esophagus) and healthy lung.

Main Results:

  • DM optimization demonstrated superior OAR sparing, with average reductions of 23% for the spinal cord, 4% for the heart, and 6% for the esophagus.
  • DM optimization generally resulted in lower lung doses and reduced volumes receiving high doses (e.g., 3-4% lower dose to 20-30% of lung).
  • Statistical analyses confirmed significant OAR sparing with DM optimization, although sparing varied across different endpoints and cases.

Conclusions:

  • Dose-mass optimization provides statistically significant organ at risk sparing compared to dose-volume optimization in NSCLC radiotherapy.
  • While DM optimization shows promise, its benefits are case-dependent and not universally observed for all dosimetric endpoints.
  • Further investigation into DM optimization's role in radiotherapy planning is warranted.