Grail, Inc. · NASDAQ:GRAL
Grail — ERS International Congress 2023
11 slides from Grail's conference presentation, September 2023
Slide 1: Growth patterns of screen-detected malignant pulmonary nodules: Accuracy of doubling-time models
Growth patterns of screen-detected malignant pulmonary nodules: Accuracy of doubling-time models A . Crea m er, C. H o rst , J. D ic ks o n, S . T is i, H . H a ll, P. Verg hes e, R . Prendec k i , A . Bha m a ni, J. M c ca be, J. Tea g ue, A . M . H a c ker, L . Fa rrelly, K. Gyert s o n, A . D eva
Slide 2: Conflict of interest disclosure
Conflict of interest disclosure I have no real or perceived conflicts of interest that relate to this presentation. I have the following real or perceived conflicts of interest that relate to this presentation: Affiliation / Financial interest Commercial company Grants/research support: The SUMM
Slide 3: Aims / Learning objectives
Aims / Learning objectives 1. To determine volumetric growth patterns of lung cancer presenting as solid pulmonary nodules 2. To determine mass growth patterns of lung cancer presenting as subsolid pulmonary nodules 3. To determine the accuracy of exponential growth functions in modelling observed g
Slide 4: Background
Background • The use of volume-doubling time (VDT) to guide management decisions in indeterminate pulmonary nodules implies early-stage lung cancers follow a consistent exponential pattern of growth • However, there is limited in vivo evidence for this • Previous research in early lung cancer presen
Slide 5: Methods: The SUMMIT study
Methods: The SUMMIT study • The SUMMIT study is a prospective observational cohort study to examine the performance of delivering a LDCT screening service to a high-risk population in London and to validate a multi-cancer early detection blood test (NCT03934866) • Eligible participants were 55–77 ye
Slide 6: Methods: Nodule analysis and modelling growth
Methods: Nodule analysis and modelling growth • Images were read by thoracic radiologists using computer aided detection (CADe) software (Veolity V.1.4, MeVIS Medical Solutions) • Individual nodules were tracked across serial study scans • Predicted growth curves for each cancer were calculated by:
Slide 7: Results: Volume growth of solid nodules
Results: Volume growth of solid nodules • 21 histologically confirmed lung cancers diagnosed in solid nodules seen on 3 or more CTs were identified • The observed growth fit an exponential growth model in the majority of cases with R2 ≥ 0.90 in 14/21 cancers • Median R2 0.9740 (IQR 0.849-0.9985) Exa
Slide 8: Results: Mass growth of subsolid nodules
Results: Mass growth of subsolid nodules • 21 histologically confirmed lung cancers derived from subsolid nodules seen on 3 or more SUMMIT scans were identified • Mass growth of cancers presenting as subsolid nodules was less well predicted by an exponential model • Mean R2 0.687, median 0.8033 (IQR
Slide 9: Conclusions
Conclusions 1. Volume growth of early-stage lung cancer presenting as solid nodules is well described by an exponential growth function 2. Mass growth of early-stage lung cancer presenting as subsolid nodules is less accurately modelled by an exponential growth function 3. These results support curr
Slide 10: List of references
List of references 1. Heuvelmans, M. A. et al. Quantification of growth patterns of screen-detected lung cancers: The NELSON study. Lung Cancer 108, 48–54 (2017). 2. Callister, M. E. J. et al. British thoracic society guidelines for the investigation and management of pulmonary nodules. Thorax (2015
Slide 11: International Congress 2023, Milan Italy, 9-13 September
INTERNATIONAL CONGRESS 2023 MILAN Italy, 9-13 September