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Image-based analysis of breast tumour growth rate may help optimize breast cancer screening and diagnosis. It may improve the identification of aggressive tumours and suggest optimal screening intervals. Virtual clinical trial (VCT) is a simulation-based method used to evaluate and optimize medical imaging systems and design clinical trials. Our work is motivated by desire to simulate multiple screening rounds with growing tumours. We have developed a model to simulate tumours with various growth rates; this study aims at evaluating the model. We used clinical data on tumour volume doubling times (TVDT) from our previous study, to fit a probability distribution ("clinical fit"). Growing tumours were inserted into 30 virtual breasts ("simulated cohort"). Based on the clinical fit we simulated two successive screening rounds for each virtual breast. TVDT from clinical and simulated images were compared. Tumour size was measured from simulated mammograms by a radiologist in three repeated sessions, to estimate TVDT ("estimated TVDT"). Reproducibility of measured sizes decreased slightly for small tumours. The mean TVDT from the clinical fit was 297±169 days, whereas the simulated cohort had 322±217 days, and the average estimated TVDT 340 ± 287 days. The median difference between the simulated and estimated TVDT was 12 days (4% of the mean clinical TVDT). Comparisons between other data sets suggest no significant difference (p>0.5). The proposed tumour growth model suggested close agreement with clinical results, supporting potential use in VCTs of temporal breast imaging.
|Titel på gästpublikation||Medical Imaging 2021|
|Undertitel på gästpublikation||Physics of Medical Imaging|
|Redaktörer||Hilde Bosmans, Wei Zhao, Lifeng Yu|
|Status||Published - 2021|
|Evenemang||Medical Imaging 2021: Physics of Medical Imaging - Virtual, Online, USA|
Varaktighet: 2021 feb 15 → 2021 feb 19
|Namn||Progress in Biomedical Optics and Imaging - Proceedings of SPIE|
|Konferens||Medical Imaging 2021: Physics of Medical Imaging|
|Period||2021/02/15 → 2021/02/19|
Bibliografisk informationFunding Information:
This work is supported by grants from the European Commission H2020 Marie Skłodowska-Curie Actions Fellowship (IF 846540), the grants from the Cancerfonden, the Swedish Breast Cancer Association, and Stiftelsen för Cancerforskning vid Onkologiska kliniken vid Universitetssjukhuset MAS, as well as the US National Institutes of Health (R01 CA154444) and the Burroughs-Wellcome Fund (IRSA 1016451).
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Copyright 2021 Elsevier B.V., All rights reserved.
- Cancer och onkologi
- Radiologi och bildbehandling
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2019/08/15 → 2021/08/14