Quantitative Dual‐Energy <scp>CT</scp> Perfusion Versus <scp>SPECT</scp> / <scp>CT</scp> V/Q Scintigraphy for Preoperative Lung Function Assessment: A Prospective Cohort Study
INTRODUCTION: Accurate preoperative physiological assessment is critical for high-risk patients undergoing lung resection to predict postoperative lung function. This study compared quantitative dual-energy CT (DECT) perfusion with SPECT/CT for lobar perfusion mapping in an at-risk oncological cohort. METHOD: In a prospective, single-centre study, 20 high-risk candidates for lung resection (FEV1 or DLCO < 80% predicted) underwent both contrast-enhanced DECT and SPECT/CT V/Q. Perfusion was quantified for all 100 lung lobes. Agreement between modalities was assessed using Pearson's correlation coefficient (r), Intraclass Correlation Coefficient (ICC), and Bland-Altman analysis. Effective radiation doses were calculated and compared for both protocols. RESULTS: DECT perfusion measurements demonstrated a strong correlation with SPECT/CT (Pearson's r = 0.94, p < 0.001; ICC = 0.93). Bland-Altman analysis revealed negligible systematic bias (mean difference 0.03%) with narrow limits of agreement, although a minor proportional bias was observed where DECT slightly overestimated perfusion in low-function lobes. Furthermore, the DECT protocol resulted in a statistically significant reduction in mean effective radiation dose compared to SPECT/CT (4.42 mSv vs. 4.87 mSv; p = 0.026). CONCLUSION: In this pilot study, DECT perfusion imaging demonstrated lobar function quantification closely concordant with SPECT/CT V/Q in high-risk surgical candidates. With the potential for superior spatial resolution, reduced radiation exposure, and 'one-stop' efficiency, DECT shows promise as a resource-efficient alternative for preoperative planning, warranting further validation in larger cohorts.
Authors
- Jack Edward Liu (ORCID: https://orcid.org/0000-0001-8699-5579)
- Amy Baker (ORCID: https://orcid.org/0000-0001-5366-0027)
- Stephen A. Barnett
- Siddharth M. Kulkarni
- Anthony Tu Tran
- Audree So
- Kane Nicholls
Institutions
- The University of Melbourne (AU)
- Central Coast Local Health District (AU)
- Melbourne Health (AU)
- Austin Health (AU)
- RMIT University (AU)
Publication Details
- Journal
- Journal of Medical Imaging and Radiation Oncology
- Published
- 2026-04-22
- DOI
- https://doi.org/10.1111/1754-9485.70106
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00