» Articles » PMID: 37084884

Consensus Guide on CT-based Prediction of Stopping-power Ratio Using a Hounsfield Look-up Table for Proton Therapy

Abstract

Background And Purpose: Studies have shown large variations in stopping-power ratio (SPR) prediction from computed tomography (CT) across European proton centres. To standardise this process, a step-by-step guide on specifying a Hounsfield look-up table (HLUT) is presented here.

Materials And Methods: The HLUT specification process is divided into six steps: Phantom setup, CT acquisition, CT number extraction, SPR determination, HLUT specification, and HLUT validation. Appropriate CT phantoms have a head- and body-sized part, with tissue-equivalent inserts in regard to X-ray and proton interactions. CT numbers are extracted from a region-of-interest covering the inner 70% of each insert in-plane and several axial CT slices in scan direction. For optimal HLUT specification, the SPR of phantom inserts is measured in a proton beam and the SPR of tabulated human tissues is computed stoichiometrically at 100 MeV. Including both phantom inserts and tabulated human tissues increases HLUT stability. Piecewise linear regressions are performed between CT numbers and SPRs for four tissue groups (lung, adipose, soft tissue, and bone) and then connected with straight lines. Finally, a thorough but simple validation is performed.

Results: The best practices and individual challenges are explained comprehensively for each step. A well-defined strategy for specifying the connection points between the individual line segments of the HLUT is presented. The guide was tested exemplarily on three CT scanners from different vendors, proving its feasibility.

Conclusion: The presented step-by-step guide for CT-based HLUT specification with recommendations and examples can contribute to reduce inter-centre variations in SPR prediction.

Citing Articles

Deep learning estimation of proton stopping power with photon-counting computed tomography: a virtual study.

Larsson K, Hein D, Huang R, Collin D, Scotti A, Fredenberg E J Med Imaging (Bellingham). 2024; 11(Suppl 1):S12809.

PMID: 39574807 PMC: 11576576. DOI: 10.1117/1.JMI.11.S1.S12809.


Benefit of range uncertainty reduction in robust optimisation for proton therapy of brain, head-and-neck and breast cancer patients.

Tarp I, Taasti V, Jensen M, Vestergaard A, Jensen K Phys Imaging Radiat Oncol. 2024; 31:100632.

PMID: 39257572 PMC: 11386293. DOI: 10.1016/j.phro.2024.100632.


ESTRO-EPTN radiation dosimetry guidelines for the acquisition of proton pencil beam modelling data.

Goma C, Henkner K, Jakel O, Lorentini S, Magro G, Mirandola A Phys Imaging Radiat Oncol. 2024; 31:100621.

PMID: 39220113 PMC: 11364130. DOI: 10.1016/j.phro.2024.100621.


A framework for in-field and out-of-field patient specific secondary cancer risk estimates from treatment plans using the TOPAS Monte Carlo system.

Meyer I, Peters N, Tamborino G, Lee H, Bertolet A, Faddegon B Phys Med Biol. 2024; 69(16).

PMID: 39019051 PMC: 11345907. DOI: 10.1088/1361-6560/ad64b6.


Commissioning and Validation of CT Number to SPR Calibration in Carbon Ion Therapy Facility.

Miyasaka Y, Kanai T, Souda H, Yamazawa Y, Lee S, Chai H Int J Part Ther. 2024; 11:100011.

PMID: 38757079 PMC: 11095100. DOI: 10.1016/j.ijpt.2024.100011.


References
1.
Hahn C, Eulitz J, Peters N, Wohlfahrt P, Enghardt W, Richter C . Impact of range uncertainty on clinical distributions of linear energy transfer and biological effectiveness in proton therapy. Med Phys. 2020; 47(12):6151-6162. DOI: 10.1002/mp.14560. View

2.
Wohlfahrt P, Mohler C, Richter C, Greilich S . Evaluation of Stopping-Power Prediction by Dual- and Single-Energy Computed Tomography in an Anthropomorphic Ground-Truth Phantom. Int J Radiat Oncol Biol Phys. 2017; 100(1):244-253. DOI: 10.1016/j.ijrobp.2017.09.025. View

3.
Paganetti H, Beltran C, Both S, Dong L, Flanz J, Furutani K . Roadmap: proton therapy physics and biology. Phys Med Biol. 2020; 66(5). PMC: 9275016. DOI: 10.1088/1361-6560/abcd16. View

4.
Hunemohr N, Krauss B, Tremmel C, Ackermann B, Jakel O, Greilich S . Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates. Phys Med Biol. 2013; 59(1):83-96. DOI: 10.1088/0031-9155/59/1/83. View

5.
Moyers M, Mah D, Boyer S, Chang C, Pankuch M . Use of proton beams with breast prostheses and tissue expanders. Med Dosim. 2014; 39(1):98-101. DOI: 10.1016/j.meddos.2013.10.006. View