Comparison of dual-energy CT with positron emission tomography for lung perfusion imaging in patients with non-small cell lung cancer.

Autor: Gaudreault M; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia., Korte J; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Department of Biomedical Engineering, School of Chemical and Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia., Bucknell N; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia., Jackson P; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia., Sakyanun P; Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Department of Radiation Oncology, Phramongkutklao Hospital, Bangkok, Thailand., McIntosh L; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia., Woon B; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia., Buteau JP; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Molecular Imaging and Therapeutic Nuclear Medicine; Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC) , Peter MacCallum Cancer Centre, Melbourne, Victoria, 3000, Australia., Hofman MS; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Molecular Imaging and Therapeutic Nuclear Medicine; Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC) , Peter MacCallum Cancer Centre, Melbourne, Victoria, 3000, Australia., Mulcahy T; Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia., Kron T; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Centre for Medical Radiation Physics, University of Wollongong, NSW, 2522, Australia., Siva S; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia., Hardcastle N; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3000, Australia.; Centre for Medical Radiation Physics, University of Wollongong, NSW, 2522, Australia.
Jazyk: angličtina
Zdroj: Physics in medicine and biology [Phys Med Biol] 2023 Jan 27; Vol. 68 (3). Date of Electronic Publication: 2023 Jan 27.
DOI: 10.1088/1361-6560/acb198
Abstrakt: Objective. Functional lung avoidance (FLA) radiotherapy treatment aims to spare lung regions identified as functional from imaging. Perfusion contributes to lung function and can be measured from the determination of pulmonary blood volume (PBV). An advantageous alternative to the current determination of PBV from positron emission tomography (PET) may be from dual energy CT (DECT), due to shorter examination time and widespread availability. This study aims to determine the correlation between PBV determined from DECT and PET in the context of FLA radiotherapy. Approach. DECT and PET acquisitions at baseline of patients enrolled in the HI-FIVE clinical trial (ID: NCT03569072) were reviewed. Determination of PBV from PET imaging (PBVPET), from DECT imaging generated from a commercial software (Syngo.via, Siemens Healthineers, Forchheim, Germany) with its lowest (PBVsyngoR=1) and highest (PBVsyngoR=10) smoothing level parameter value ( R ), and from a two-material decomposition (TMD) method (PBVTMDL) with variable median filter kernel size ( L ) were compared. Deformable image registration between DECT images and the CT component of the PET/CT was applied to PBV maps before resampling to the PET resolution. The Spearman correlation coefficient ( r s ) between PBV determinations was calculated voxel-wise in lung subvolumes. Main results. Of this cohort of 19 patients, 17 had a DECT acquisition at baseline. PBV maps determined from the commercial software and the TMD method were very strongly correlated [ r s (PBVsyngoR=1,PBVTMDL=1) = 0.94 ± 0.01 and r s (PBVsyngoR=10,PBVTMDL=9) = 0.94 ± 0.02].PBVPETwas strongly correlated withPBVTMDL[ r s (PBVPET,PBVTMDL=28) = 0.67 ± 0.11]. Perfusion patterns differed along the posterior-anterior direction [ r s (PBVPET,PBVTMDL=28) = 0.77 ± 0.13/0.57 ± 0.16 in the anterior/posterior region]. Significance . A strong correlation between DECT and PET determination of PBV was observed. Streak and smoothing effects in DECT and gravitational artefacts and misregistration in PET reduced the correlation posteriorly.
(© 2023 Institute of Physics and Engineering in Medicine.)
Databáze: MEDLINE
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