Functional image-based radiotherapy planning for non-small cell lung cancer: A simulation study.

Area of Science:

• Radiation Oncology
• Medical Imaging
• Pulmonary Medicine

Background:

• Non-small cell lung cancer (NSCLC) treatment often involves intensity-modulated radiotherapy (IMRT).
• Accurate planning is crucial to minimize radiation dose to healthy lung tissue.
• Functional imaging offers a way to assess lung viability beyond anatomical data.

Purpose of the Study:

• To evaluate the integration of SPECT and (3)He-MRI functional data into IMRT planning for NSCLC.
• To compare the effectiveness of functional versus purely anatomical IMRT planning.
• To assess the impact on radiation dose to functional lung volumes.

Main Methods:

• Simulated seven NSCLC scenarios with functional lung defects.
• Generated two IMRT plans per scenario: one minimizing total lung V(20), another minimizing functional lung V(20) (FV(20)).
• Compared dose-volume metrics and plan quality indices between anatomical and functional plans.

Main Results:

• Functional planning significantly reduced FV(20) (median 2.7%) and total lung V(20) (median 1.5%).
• A small reduction in mean functional lung dose was observed (median 0.4Gy).
• Plan quality index improved with functional planning, with no compromise in target coverage or organ-at-risk doses.

Conclusions:

• Incorporating SPECT or (3)He-MRI functional data into IMRT planning for NSCLC is feasible.
• This approach leads to statistically significant reductions in radiation dose to functional lung tissue.
• Functional IMRT planning enhances treatment efficacy and patient safety in NSCLC management.