Refinement of the Hounsfield look‐up table by retrospective application of patient‐specific direct proton stopping‐power prediction from dual‐energy CT

Abstract

Background and Purpose: Proton treatment planning relies on an accurate determination of stopping-power ratio (SPR) from x-ray computed tomography (CT). A refinement of the heuristic CTbased SPR prediction using a state-of-the-art Hounsfield look-up table (HLUT) is proposed, which incorporates patient SPR information obtained from dual-energy CT (DECT) in a retrospective patient-cohort analysis. Material and Methods: SPR datasets of 25 brain-tumor patients, 25 prostate-cancer patients, and three nonsmall cell lung-cancer (NSCLC) patients were calculated from clinical DECT scans with the comprehensively validated DirectSPR approach. Based on the median frequency distribution of voxelwise correlations between CT number and SPR within the irradiated volume, a piecewise linear function was specified (DirectSPR-based adapted HLUT). Differences in dose distribution and proton range were assessed for the nonadapted and adapted HLUT in comparison to the DirectSPR method, which has been shown to be an accurate and reliable SPR estimation method. Results: The application of the DirectSPR-based adapted HLUT instead of the nonadapted HLUT reduced the systematic proton range differences from 1.2% (1.1 mm) to À0.1% (0.0 mm) for braintumor patients, 1.7% (4.1 mm) to 0.2% (0.5 mm) for prostate-cancer patients, and 2.0% (2.9 mm) to À0.1% (0.0 mm) for NSCLC patients. Due to the large intra-and inter-patient tissue variability, range differences to DirectSPR larger than 1% remained for the adapted HLUT. Conclusions: The incorporation of patient-specific correlations between CT number and SPR, derived from a retrospective application of DirectSPR to a broad patient cohort, improves the SPR accuracy of the current state-of-the-art HLUT approach. The DirectSPR-based adapted HLUT has been clinically implemented at the University Proton Therapy Dresden (Dresden, Germany) in 2017. This already facilitates the benefits of an improved DECT-based tissue differentiation within clinical routine without changing the general approach for range prediction (HLUT), and represents a further step toward full integration of the DECT-based DirectSPR method for treatment planning in proton therapy.

Impact of range uncertainty on clinical distributions of linear energy transfer and biological effectiveness in proton therapy

“…22 The SECT scan was converted into stoppingpower ratio (SPR) based on the clinical Hounsfield look-up 23 The DirectSPR approach was applied to generate SPR datasets based on DECT. 24 The respective SPR datasets were imported and used in the treatment planning system (TPS) RayStation (research version 5.99.50, RaySearch Laboratories AB, Stockholm, Sweden) using an in-house developed solution 25 (further details in Supplement). The original clinical target volume (CTV) and OAR contours from patient treatment were used for proton treatment planning in pencil beam scanning (PBS) mode.…”

Costs of Definitive Chemoradiation, Surgery, and Adjuvant Radiation Versus De-Escalated Adjuvant Radiation per MC1273 in HPV+ Cancer of the Oropharynx

“…81, p. 016701, 11 2017. [27]. Non-colored regions can be considered regions of mixed tissue composition (e.g.…”

“…CT number histogram of all CT voxels on the central beam axis for all PBS spots included in the evaluation. The colored regions indicate different tissue regions as defined in[27]. Non-colored regions can be considered regions of mixed tissue composition (e.g.…”

Technical Note: CT calibration for proton treatment planning by cross‐calibration with proton CT data

“…For these reasons, different methods for x‐ray CT calibration are under continuous investigation 2–4 . Conventionally, single‐energy CT calibration is obtained by scanning a number of tissue equivalent materials (TEMs), which have limitations in mimicking the properties of real tissues.…”

“…Conventionally, single‐energy CT calibration is obtained by scanning a number of tissue equivalent materials (TEMs), which have limitations in mimicking the properties of real tissues. To partially overcome that issue, a stoichiometric calibration has been proposed or, more recently, dual‐energy CT methods were investigated 2,3,5 . In these methods the CT calibration procedure is commonly performed in two steps 6 .…”