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

Gaudreault, M; Korte, J; Bucknell, N; Jackson, P; Sakyanun, P; McIntosh, L; Woon, B; Buteau, JP; Hofman, MS; Mulcahy, T; Kron, T; Siva, S; Hardcastle, N

Author(s): Gaudreault, M; Korte, J; Bucknell, N; Jackson, P; Sakyanun, P; McIntosh, L; Woon, B; Buteau, JP; Hofman, MS; Mulcahy, T; Kron, T; Siva, S; Hardcastle, N;
Details: Publication Year 2023-01-27,Volume 68,Issue #3,Page 035015
Journal Title: Physics in Medicine and Biology
Publication Type: Research article
Abstract: 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 andr(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.
Publisher: IOP Publishing
Keywords: Humans; *Carcinoma, Non-Small-Cell Lung/diagnostic imaging/radiotherapy; Lung; *Lung Neoplasms/diagnostic imaging/radiotherapy; Perfusion Imaging; Positron Emission Tomography Computed Tomography; Positron-Emission Tomography; Tomography, X-Ray Computed/methods; dual energy computed tomography (DECT); lung perfusion; non-small cell lung cancer (NSCLC); positron emission tomography (PET); pulmonary blood volume (PBV)
Department(s): Physical Sciences; Radiation Oncology; Cancer Imaging
PubMed ID: 36623318
Publisher's Version: https://doi.org/10.1088/1361-6560/acb198
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2023-05-30 07:27:41

Last Modified: 2023-05-30 07:28:52