MRI image acquisition on the MR-Linac for patients with locally advanced lung cancer (LALC)
dc.contributor.author | Shiarli, A. M. | |
dc.contributor.author | Brown, Sean | |
dc.contributor.author | Cobben, David | |
dc.contributor.author | Wetscherek, A. | |
dc.contributor.author | Dubec, Michael | |
dc.contributor.author | Herbert, T. | |
dc.contributor.author | Smith, G. | |
dc.contributor.author | Lawes, R. | |
dc.contributor.author | Barnes, H. | |
dc.contributor.author | Faivre-Finn, Corinne | |
dc.contributor.author | McDonald, F. | |
dc.date.accessioned | 2021-01-06T11:15:19Z | |
dc.date.available | 2021-01-06T11:15:19Z | |
dc.date.issued | 2020 | en |
dc.identifier.citation | Shiarli AM, Brown S, Cobben D, Wetscherek A, Dubec M, Herbert T, et al. MRI image acquisition on the MR-Linac for patients with locally advanced lung cancer (LALC). Lung Cancer. 2020;139:S35-S6 | en |
dc.identifier.uri | http://hdl.handle.net/10541/623602 | |
dc.description.abstract | Introduction: MR-Linacs (hybrid MRI radiotherapy RT delivery systems) are an attractive tool for implementation of real time adaptation in lung cancer patients. MRI can offer better soft tissue definition with potential improvement in RT delivery accuracy. The air-tissue interface, respiratory motion and the low proton density in the lung, all impact MRI image quality, leading to a need for optimisation of MRI sequences for planning and verification purposes. We report our first experience in scanning patients with LALC on a high-field MR-Linac (1.5T with 6MV linear accelerator). Methods: Five patients with LALC, were scanned on the Elekta Unity MR-Linac with 6 different MRI sequences with volumetric excitation: T1w turbo spin echo (TSE), T2w TSE, respiratory-gated nonfat-suppressed T2w TSE, respiratory-gated fat-suppressed T2w TSE, T1w 2-point Dixon and T1w radial fast gradient echo (TFE). Five clinical oncologists and 1 radiographer from 2 UK centres scored the anonymised images using a four-point Visual Grading Analysis (VGA) scale where 4 is ‘very clear’ and 1 is ‘not visible’. The scores for the organs at risk (OAR) and gross tumour volume (GTV) are reported. Results: The T1w Dixon and T1w radial TFE sequences scored the highest overall, with 82% and 79% of observations scoring as ‘clear’/‘very clear’, respectively. For the primary tumour, the T1w Dixon and the T2w respiratory-gated non-fat suppressed sequence scored at 79% and 63% respectively. For lymph nodes, the T1w Dixon and T1w radial TFE scored 67%. The overall best scoring OARs were spinal cord and trachea. The brachial plexus scored best on the T1w TSE sequence (83%) Conclusion: We assessed image quality for 6 MRI sequences for patients with LALC on the MR-Linac. The T1w Dixon sequence performed the best for both disease and OAR visualisation. Ongoing multidisciplinary work will allow further optimisation of MRI sequences. | en |
dc.language.iso | en | en |
dc.title | MRI image acquisition on the MR-Linac for patients with locally advanced lung cancer (LALC) | en |
dc.type | Meetings and Proceedings | en |
dc.contributor.department | The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom | en |
dc.identifier.journal | Lung Cancer | en |
dc.description.note | en] |