Low-Dose Computed Tomography Scanning Protocols for Online Adaptive Proton Therapy of Head-and-Neck Cancers

Konrad P Nesteruk; Mislav Bobić; Gregory C Sharp; Arthur Lalonde; Brian A Winey; Lena Nenoff; Antony J Lomax; Harald Paganetti

doi:10.3390/cancers14205155

Low-Dose Computed Tomography Scanning Protocols for Online Adaptive Proton Therapy of Head-and-Neck Cancers

Cancers (Basel). 2022 Oct 21;14(20):5155. doi: 10.3390/cancers14205155.

Authors

Konrad P Nesteruk¹, Mislav Bobić^{1

2}, Gregory C Sharp¹, Arthur Lalonde¹, Brian A Winey¹, Lena Nenoff¹, Antony J Lomax^{2

3}, Harald Paganetti¹

Affiliations

¹ Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
² Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland.
³ Center for Proton Therapy, Paul Scherrer Institute, CH-5232 Villigen, Switzerland.

Abstract

Purpose: To evaluate the suitability of low-dose CT protocols for online plan adaptation of head-and-neck patients.

Methods: We acquired CT scans of a head phantom with protocols corresponding to CT dose index volume CTDI_vol in the range of 4.2-165.9 mGy. The highest value corresponds to the standard protocol used for CT simulations of 10 head-and-neck patients included in the study. The minimum value corresponds to the lowest achievable tube current of the GE Discovery RT scanner used for the study. For each patient and each low-dose protocol, the noise relative to the standard protocol, derived from phantom images, was applied to a virtual CT (vCT). The vCT was obtained from a daily CBCT scan corresponding to the fraction with the largest anatomical changes. We ran an established adaptive workflow twice for each low-dose protocol using a high-quality daily vCT and the corresponding low-dose synthetic vCT. For a relative comparison of the adaptation efficacy, two adapted plans were recalculated in the high-quality vCT and evaluated with the contours obtained through deformable registration of the planning CT. We also evaluated the accuracy of dose calculation in low-dose CT volumes using the standard CT protocol as reference.

Results: The maximum differences in D₉₈ between low-dose protocols and the standard protocol for the high-risk and low-risk CTV were found to be 0.6% and 0.3%, respectively. The difference in OAR sparing was up to 3%. The Dice similarity coefficient between propagated contours obtained with low-dose and standard protocols was above 0.982. The mean 2%/2 mm gamma pass rate for the lowest-dose image, using the standard protocol as reference, was found to be 99.99%.

Conclusion: The differences between low-dose protocols and the standard scanning protocol were marginal. Thus, low-dose CT protocols are suitable for online adaptive proton therapy of head-and-neck cancers. As such, considering scanning protocols used in our clinic, the imaging dose associated with online adaption of head-and-neck cancers treated with protons can be reduced by a factor of 40.

Keywords: CT-on-rails; Monte Carlo; adaptive proton therapy; head-and-neck cancers; low-dose CT.

Abstract

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