Emilia Palmér, Fredrik Nordström, Anna Karlsson, Karin Petruson, Maria Ljungberg, Maja Sohlin
PURPOSE: The accuracy and precision of patient positioning is crucial in radiotherapy; however, there are no publications available using synthetic computed tomography (sCT) that evaluate rotations in head and neck (H&N) patients positioning or the effect of translation and rotation combined. The aim of this work was to evaluate the differences between using sCT with the CT for 2D- and 3D-patient positioning in a magnetic resonance imaging (MRI)-only workflow.
METHODS: This study included 14 H&N cancer patients, with generated sCT data (MRI Planner v2.2) and the CT deformably registered to the MRI. Patient positioning was evaluated by comparing sCT against CT data: 3D cone beam CT (CBCT) was registered to the deformed CT (dCT) and sCT in six degrees of freedom (DoF) with a rigid auto-registration algorithm and bone threshold, and 2D deformed digital reconstructed radiographs (dDRR) and synthetic DRRs (sDRR) were manually registered to orthogonal projections in five DoF by six blinded observers. The difference in displacement in all DoF were calculated for dCT and sCT, as well as for dDRR and sDRR. The interobserver variation was evaluated by separate application of the paired dDRR and sDRR registration matrices to the original coordinates of the planning target volume (PTV) structures and calculation of the Euclidean distance between the corresponding points. The Dice similarity coefficient (DSC) was calculated between dDRR/sDRR-registered PTVs.
RESULTS: The mean difference in patient positioning using CBCT was <0.7 mm and <0.3° and using orthogonal projections <0.4 mm and <0.2° in all directions. The maximum Euclidean distance was 5.1 mm, the corresponding mean (1SD) Euclidean distance and mean DSC were 3.5 ± 0.7 mm and 0.93, respectively.
CONCLUSIONS: This study shows that the sCT-based patient positioning gives a comparable result with that based on CT images, allowing sCT to replace CT as reference for patient treatment positioning.
Phys Imaging Radiat Oncol. 2021 May 13;18:55-60
[PMID:
34258409]
Radiother Oncol. 2003 Dec;69(3):237-45
[PMID:
14644482]
Soc Psychol Personal Sci. 2017 May;8(4):355-362
[PMID:
28736600]
Int J Radiat Oncol Biol Phys. 2010 Aug 1;77(5):1584-9
[PMID:
20381270]
Clin Transl Radiat Oncol. 2019 Apr 01;18:60-65
[PMID:
31341977]
Int J Radiat Oncol Biol Phys. 2009 Apr 1;73(5):1566-73
[PMID:
19306753]
Radiat Oncol. 2013 Sep 10;8:212
[PMID:
24020432]
Radiat Oncol. 2010 Jun 30;5:62
[PMID:
20591179]
Phys Imaging Radiat Oncol. 2019 Jun 22;11:1-8
[PMID:
33458269]
Int J Radiat Oncol Biol Phys. 2000 Jul 1;47(4):1121-35
[PMID:
10863086]
Int J Radiat Oncol Biol Phys. 2017 Nov 1;99(3):692-700
[PMID:
28843375]
Acta Oncol. 2015;54(9):1496-500
[PMID:
26198652]
Med Phys. 2015 Oct;42(10):6090-7
[PMID:
26429284]
Med Dosim. 2013 Summer;38(2):125-32
[PMID:
23266161]
Med Phys. 2020 Feb;47(2):626-642
[PMID:
31733164]
Phys Med Biol. 2018 Feb 26;63(5):05TR01
[PMID:
29393071]
J Appl Clin Med Phys. 2022 Apr;23(4):e13525
[PMID:
35044070]
Med Phys. 2017 Jul;44(7):3706-3717
[PMID:
28444772]
Radiat Oncol. 2017 Jan 26;12(1):28
[PMID:
28126030]
Phys Imaging Radiat Oncol. 2021 Jan 11;17:36-42
[PMID:
33898776]
Clin Transl Radiat Oncol. 2017 Oct 10;7:13-19
[PMID:
29594224]
Radiat Oncol. 2021 Apr 7;16(1):66
[PMID:
33827619]
J Appl Clin Med Phys. 2013 Jan 02;14(1):4066
[PMID:
23318394]
Phys Imaging Radiat Oncol. 2018 Oct 02;7:58-64
[PMID:
33458406]
Int J Radiat Oncol Biol Phys. 2018 Jan 1;100(1):199-217
[PMID:
29254773]
Acta Oncol. 2015 Jun;54(6):889-95
[PMID:
25233439]
Phys Med Biol. 2017 Apr 21;62(8):2961-2975
[PMID:
27983520]
Int J Radiat Oncol Biol Phys. 2016 Jul 15;95(4):1281-9
[PMID:
27209500]
Cone-Beam Computed Tomography
Head and Neck Neoplasms
Humans
Magnetic Resonance Imaging
Patient Positioning
Radiotherapy Planning, Computer-Assisted
Tomography, X-Ray Computed