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Feasibility of artificial-intelligence-based synthetic computed tomography in a magnetic resonance-only radiotherapy workflow for brain radiotherapy: Two-way dose validation and 2D/2D kV-image-based positioning.
Masitho, Siti; Szkitsak, Juliane; Grigo, Johanna; Fietkau, Rainer; Putz, Florian; Bert, Christoph.
Affiliation
  • Masitho S; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Szkitsak J; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany.
  • Grigo J; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Fietkau R; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany.
  • Putz F; Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Bert C; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany.
Phys Imaging Radiat Oncol ; 24: 111-117, 2022 Oct.
Article in En | MEDLINE | ID: mdl-36405564
ABSTRACT
Background and

purpose:

Magnetic Resonance Imaging (MRI)-only workflow eliminates the MRI-computed tomography (CT) registration inaccuracy, which degrades radiotherapy (RT) treatment accuracy. For an MRI-only workflow MRI sequences need to be converted to synthetic-CT (sCT). The purpose of this study was to evaluate a commercially available artificial intelligence (AI)-based sCT generation for dose calculation and 2D/2D kV-image daily positioning for brain RT workflow. Materials and

methods:

T1-VIBE DIXON was acquired at the 1.5 T MRI for 26 patients in RT setup for sCTs generation. For each patient, a volumetric modulated arc therapy (VMAT) plan was optimized on the CT, then recalculated on the sCT; and vice versa. sCT-based digitally reconstructed radiographs (DRRs) were fused with stereoscopic X-ray images recorded as image guidance for clinical treatments. Dosimetric differences between planned/recalculated doses and the differences between the calculated and recorded clinical couch shift/rotation were evaluated.

Results:

Mean ΔD50 between planned/recalculated doses for target volumes ranged between -0.2 % and 0.2 %; mean ΔD50 and ΔD0.01ccm were -0.6 % and 1.6 % and -1.4 % and 1.0 % for organ-at-risks, respectively. Differences were tested for clinical equivalence using intervals ±2 % (dose), ±1mm (translation), and ±1° (rotation). Dose equivalence was found using ±2 % interval (p < 0.001). The median differences between lat./long./vert. couch shift between CT-based/sCT-based DRRs were 0.3 mm/0.2 mm/0.3 mm (p < 0.05); median differences between lat./long./vert. couch rotation were -1.5°/0.1°/0.1° (after improvement of RT setup -0.4°/-0.1°/-0.4°, p < 0.05).

Conclusions:

This in-silico study showed that the AI-based sCT provided equivalent results to the CT for dose calculation and daily stereoscopic X-ray positioning when using an optimal RT setup during MRI acquisition.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Phys Imaging Radiat Oncol Year: 2022 Document type: Article Affiliation country: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Phys Imaging Radiat Oncol Year: 2022 Document type: Article Affiliation country: Alemania