Effects of MR imaging time reduction on substitute CT generation for prostate MRI-only treatment planning.
MRI-only
Prostate
sCT
Journal
Physical and engineering sciences in medicine
ISSN: 2662-4737
Titre abrégé: Phys Eng Sci Med
Pays: Switzerland
ID NLM: 101760671
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
19
11
2020
accepted:
24
06
2021
pubmed:
7
7
2021
medline:
25
11
2021
entrez:
6
7
2021
Statut:
ppublish
Résumé
The introduction of MRI linear accelerators (MR-linacs) and the increased use of MR imaging in radiotherapy, requires improved approaches to MRI-only radiotherapy. MRI provides excellent soft tissue visualisation but does not provide any electron density information required for radiotherapy dose calculation, instead MRI is registered to CT images to enable dose calculations. MRI-only radiotherapy eliminates registration errors and reduces patient discomfort, workload and cost. Electron density requirements may be addressed in different ways, from manually applying bulk density corrections, to more computationally intensive methods to produce substitute CT datasets (sCT), requiring additional sequences, increasing overall imaging time. Reducing MR imaging time would reduce potential artefacts from intrafraction motion and patient discomfort. The aim of this study was to assess the impact of reducing MR imaging time on a hybrid atlas-voxel sCT conversion for prostate MRI-only treatment planning, considering both anatomical and dosimetric parameters. 10 volunteers were scanned on a Siemens Skyra 3T MRI. Sequences included the 3D T2-weighted (T2-w) SPACE sequence used for sCT conversion as previously validated against CT, along with variations to this sequence in repetition time (TR), turbo factor, and combinations of these to reduce the imaging time. All scans were converted to sCT and were compared to the sCT from the original SPACE sequence, evaluating for anatomical changes and dosimetric differences for a standard prostate VMAT plan. Compared to the previously validated T2-w SPACE sequence, scan times were reduced by up to 80%. The external volume and bony anatomy were compared, with all but one sequence meeting a DICE coefficient of 0.9 or better, with the largest variations occurring at the edges of the external body volume. The generated sCT agreed with the gold standard sCT within an isocentre dose of 1% and a gamma pass rate of 99% for a 1%/1 mm gamma tolerance for all but one sequence. This study demonstrates that the MR imaging sequence time was able to be reduced by approximately 80% with similar dosimetric results.
Identifiants
pubmed: 34228255
doi: 10.1007/s13246-021-01031-0
pii: 10.1007/s13246-021-01031-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
799-807Informations de copyright
© 2021. Crown.
Références
Nyholm T, Jonsson J (2014) Counterpoint: opportunities and challenges of a magnetic resonance imaging-only radiotherapy work flow. Semin Radiat Oncol 24(3):175–180. https://doi.org/10.1016/j.semradonc.2014.02.005
doi: 10.1016/j.semradonc.2014.02.005
pubmed: 24931088
Owrangi AM, Greer PB, Glide-Hurst CK (2018) MRI-only treatment planning: benefits and challenges. Phys Med Biol 63(5):05TR01
doi: 10.1088/1361-6560/aaaca4
Stanescu T, Kirkby C, Wachowicz K, Fallone BG (2009) Developments in MRI-based radiation treatment planning. In: Dössel O, Schlegel W (eds) World congress on medical physics and biomedical engineering, September 7–12, 2009, Munich, Germany, IFMBE Proceedings, vol. 25/1. Springer, Berlin, pp 821–824, https://doi.org/10.1007/978-3-642-03474-9_231
Johansson A, Karlsson M, Nyholm T, (2011) CT substitute derived from MRI sequences with ultrashort echo time. Med Phys. https://doi.org/10.1118/1.3578928
doi: 10.1118/1.3578928
pubmed: 21776807
Karotki A, Mah K, Meijer G, Meltsner M (2011) Comparison of bulk electron density and voxel-based electron density treatment planning. J Appl Clin Med Phys 12(4):97–104
doi: 10.1120/jacmp.v12i4.3522
Dowling JA, Lambert J, Parker J, Salvado O, Fripp J, Capp A, Wratten C, Denham JW, Greer PB (2012) An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy. Int J Radiat Oncol*Biol*Phys 83(1):e5–e11. https://doi.org/10.1016/j.ijrobp.2011.11.056
doi: 10.1016/j.ijrobp.2011.11.056
pubmed: 22330995
Greer PB, Martin J, Sidhom M, Hunter P, Pichler P, Choi JH, Best L, Smart J, Young T, Jameson M (2019) A multi-center prospective study for implementation of an MRI-only prostate treatment planning workflow. Front Oncol 9:826
doi: 10.3389/fonc.2019.00826
Chen L, Price R Jr, Nguyen T, Wang L, Li J, Qin L, Ding M, Palacio E, Ma C, Pollack A (2004) Dosimetric evaluation of MRI-based treatment planning for prostate cancer. Phys Med Biol 49(22):5157
doi: 10.1088/0031-9155/49/22/010
Korhonen J, Kapanen M, Keyriläinen J, Seppälä T, Tuomikoski L, Tenhunen M (2013) Absorbed doses behind bones with MR image-based dose calculations for radiotherapy treatment planning. Med Phys 40(1):011701. https://doi.org/10.1118/1.4769407
doi: 10.1118/1.4769407
pubmed: 23298071
Kapanen M, Collan J, Beule A, Seppälä T, Saarilahti K, Tenhunen M (2013) Commissioning of MRI-only based treatment planning procedure for external beam radiotherapy of prostate. Magn Reson Med 70(1):127–135
doi: 10.1002/mrm.24459
Jonsson JH, Karlsson MG, Karlsson M, Nyholm T (2010) Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions. Radiat Oncol (London, England) 5:62–62. https://doi.org/10.1186/1748-717X-5-62
doi: 10.1186/1748-717X-5-62
Karlsson M, Karlsson MG, Nyholm T, Amies C, Zackrisson B (2009) Dedicated magnetic resonance imaging in the radiotherapy clinic. Int J Radiat Oncol*Biol*Phys 74(2):644–651. https://doi.org/10.1016/j.ijrobp.2009.01.065
doi: 10.1016/j.ijrobp.2009.01.065
pubmed: 19427564
Roberson PL, McLaughlin PW, Narayana V, Troyer S, Hixson GV, Kessler ML (2005) Use and uncertainties of mutual information for computed tomography/magnetic resonance (CT/MR) registration post permanent implant of the prostate. Med Phys 32(2):473–482. https://doi.org/10.1118/1.1851920
doi: 10.1118/1.1851920
pubmed: 15789594
Jonsson J, Nyholm T, Söderkvist K (2019) The rationale for MR-only treatment planning for external radiotherapy. Clin Transl Radiat Oncol 18:60–65. https://doi.org/10.1016/j.ctro.2019.03.005
doi: 10.1016/j.ctro.2019.03.005
pubmed: 31341977
pmcid: 6630106
Edmund JM, Nyholm T (2017) A review of substitute CT generation for MRI-only radiation therapy. Radiat Oncol 12(1):28
doi: 10.1186/s13014-016-0747-y
Johnstone E, Wyatt JJ, Henry AM, Short SC, Sebag-Montefiore D, Murray L, Kelly CG, McCallum HM, Speight R (2018) Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging–only radiation therapy. Int J Radiat Oncol*Biol*Phys 100(1):199–217
doi: 10.1016/j.ijrobp.2017.08.043
Han X (2017) MR-based synthetic CT generation using a deep convolutional neural network method. Med Phys 44(4):1408–1419
doi: 10.1002/mp.12155
Liney GP, Moerland MA (2014) Magnetic resonance imaging acquisition techniques for radiotherapy planning. Semin Radiat Oncol 24(3):160–168. https://doi.org/10.1016/j.semradonc.2014.02.014
doi: 10.1016/j.semradonc.2014.02.014
pubmed: 24931086
Mekle R, Wu EX, Meckel S, Wetzel SG, Scheffler K (2006) Combo acquisitions: balancing scan time reduction and image quality. Magn Reson Med 55(5):1093–1105
doi: 10.1002/mrm.20882
Prior P, Chen X, Botros M, Paulson ES, Lawton C, Erickson B, Li XA (2016) MRI-based IMRT planning for MR-linac: comparison between CT-and MRI-based plans for pancreatic and prostate cancers. Phys Med Biol 61(10):3819
doi: 10.1088/0031-9155/61/10/3819
Feinberg DA, Hale JD, Watts JC, Kaufman L, Mark A (1986) Halving MR imaging time by conjugation: demonstration at 3.5 kG. Radiology 161(2):527–531. https://doi.org/10.1148/radiology.161.2.3763926
doi: 10.1148/radiology.161.2.3763926
pubmed: 3763926
McRobbie DW, Moore EA, Graves MJ, Prince MR (2017) MRI from picture to proton. Cambridge University Press, Cambridge
doi: 10.1017/9781107706958
Hennig J, Nauerth A, Friedburg H (1986) RARE imaging: a fast imaging method for clinical MR. Magn Reson Med 3(6):823–833
doi: 10.1002/mrm.1910030602
Hennig J, Friedburg H (1988) Clinical applications and methodological developments of the RARE technique. Magn Reson Imaging 6(4):391–395. https://doi.org/10.1016/0730-725X(88)90475-4
doi: 10.1016/0730-725X(88)90475-4
pubmed: 3185132
Constable RT, Anderson AW, Zhong J, Gore JC (1992) Factors influencing contrast in fast spin-echo MR imaging. Magn Reson Imaging 10(4):497–511. https://doi.org/10.1016/0730-725X(92)90001-G
doi: 10.1016/0730-725X(92)90001-G
pubmed: 1501520
Jones KM, Mulkern R, Schwartz RB, Oshio K, Barnes PD, Jolesz F (1992) Fast spin-echo MR imaging of the brain and spine: current concepts. AJR Am J Roentgenol 158(6):1313–1320
doi: 10.2214/ajr.158.6.1590133
Hollingsworth KG (2015) Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction. Phys Med Biol 60(21):R297–R322. https://doi.org/10.1088/0031-9155/60/21/r297
doi: 10.1088/0031-9155/60/21/r297
pubmed: 26448064
Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A (2002) Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 47(6):1202–1210. https://doi.org/10.1002/mrm.10171
doi: 10.1002/mrm.10171
pubmed: 12111967
Dowling JA, Sun J, Pichler P, Rivest-Hénault D, Ghose S, Richardson H, Wratten C, Martin J, Arm J, Best L (2015) Automatic substitute computed tomography generation and contouring for magnetic resonance imaging (MRI)-alone external beam radiation therapy from standard MRI sequences. Int J Radiat Oncol*Biol*Phys 93(5):1144–1153
doi: 10.1016/j.ijrobp.2015.08.045
Mugler JP III (2014) Optimized three-dimensional fast-spin-echo MRI. J Magn Reson Imaging 39(4):745–767. https://doi.org/10.1002/jmri.24542
doi: 10.1002/jmri.24542
pubmed: 24399498
Farjam R, Tyagi N, Deasy JO, Hunt MA (2019) Dosimetric evaluation of an atlas-based synthetic CT generation approach for MR-only radiotherapy of pelvis anatomy. J Appl Clin Med Phys 20(1):101–109
doi: 10.1002/acm2.12501
Christiansen RL, Jensen HR, Brink C (2017) Magnetic resonance only workflow and validation of dose calculations for radiotherapy of prostate cancer. Acta Oncol 56(6):787–791
doi: 10.1080/0284186X.2017.1290275
Tyagi N, Fontenla S, Zhang J, Cloutier M, Kadbi M, Mechalakos J, Zelefsky M, Deasy J, Hunt M (2017) Dosimetric and workflow evaluation of first commercial synthetic CT software for clinical use in pelvis. Phys Med Biol 62(8):2961
doi: 10.1088/1361-6560/aa5452
Persson E, Jamtheim Gustafsson C, Ambolt P, Engelholm S, Ceberg S, Bäck S, Olsson LE, Gunnlaugsson A (2020) MR-PROTECT: clinical feasibility of a prostate MRI-only radiotherapy treatment workflow and investigation of acceptance criteria. Radiat Oncol 15:1–13
doi: 10.1186/s13014-020-01513-7
Persson E, Gustafsson C, Nordström F, Sohlin M, Gunnlaugsson A, Petruson K, Rintelä N, Hed K, Blomqvist L, Zackrisson B (2017) MR-OPERA: a multicenter/multivendor validation of magnetic resonance Imaging-Only prostate treatment planning using synthetic computed tomography images. Int J Radiat Oncol*Biol*Phys 99(3):692–700
doi: 10.1016/j.ijrobp.2017.06.006
Siversson C, Nordström F, Nilsson T, Nyholm T, Jonsson J, Gunnlaugsson A, Olsson LE (2015) Technical note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm. Med Phys 42(10):6090–6097. https://doi.org/10.1118/1.4931417
doi: 10.1118/1.4931417
pubmed: 26429284