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Updated: May 14, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization.

Wei Liu1, Steven J Frank, Xiaoqiang Li

  • 1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. wliu3@mdanderson.org

Medical Physics
|February 8, 2013
PubMed
Summary
This summary is machine-generated.

Robust optimization for intensity-modulated proton therapy (IMPT) offers superior OAR sparing and target coverage compared to traditional PTV-based methods. Its advantage stems from compensating for dose uncertainties, not just adding margins to organs at risk.

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Last Updated: May 14, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Cancer Treatment

Background:

  • Intensity-modulated proton therapy (IMPT) aims to improve treatment outcomes by precisely delivering radiation doses.
  • Traditional planning target volume (PTV)-based optimization accounts for setup uncertainties but may not fully address range uncertainties or OAR sparing.
  • Robust optimization is a newer approach designed to mitigate the impact of various uncertainties on treatment plans.

Purpose of the Study:

  • To evaluate whether robustly optimized IMPT plans are superior to PTV-based plans due to the inclusion of OAR margins.
  • To compare the effectiveness of PTV-based, PTV+PRV-based, and robust optimization methods in IMPT planning.
  • To determine the primary drivers of superiority in robust optimization for head and neck and prostate cancer.

Main Methods:

  • Retrospective analysis of IMPT plans for six patients (five head and neck, one prostate).
  • Creation of plans using three methods: PTV-based, PTV+PRV-based (with 3-5mm OAR expansion), and robust optimization (worst-case scenario).
  • Assessment of plan quality using dose-volume histograms (DVHs) and quantification of DVH band width to measure sensitivity to uncertainty.

Main Results:

  • Robust optimization significantly reduced target bandwidth (0.59 Gy RBE) compared to PTV+PRV (3.53 Gy RBE) and PTV (3.53 Gy RBE) methods.
  • Robust plans achieved higher CTV D(95%) (60.8 Gy RBE) and better homogeneity (D(5%)-D(95%) = 13.2 Gy RBE).
  • Robust optimization resulted in lower OAR irradiation, including the brainstem, oral cavity, and normal brain tissue, compared to the other methods.

Conclusions:

  • Robust optimization demonstrates superior OAR sparing and target dose robustness compared to PTV-based and PTV+PRV-based methods.
  • The benefits of robust optimization are primarily attributed to its ability to compensate for dose distribution perturbations caused by uncertainties.
  • The superiority of robust optimization is not solely due to the inclusion of OAR margins but its inherent capacity to handle uncertainties.