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Assessment of a tumour growth model for virtual clinical trials of breast cancer screening

Tomic, Hanna LU ; Bjerkén, Anna LU orcid ; Hellgren, Gustav LU orcid ; Johnson, Kristin LU orcid ; Förnvik, Daniel LU ; Zackrisson, Sophia LU ; Tingberg, Anders LU orcid ; Dustler, Magnus LU and Bakic, Predrag LU (2021) Medical Imaging 2021: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11595.
Abstract

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... (More)

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.

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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Digital mammography, Simulations, Tumour growth, Tumour volume doubling time, Virtual clinical trials
host publication
Medical Imaging 2021 : Physics of Medical Imaging - Physics of Medical Imaging
series title
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
editor
Bosmans, Hilde ; Zhao, Wei and Yu, Lifeng
volume
11595
article number
115954Q
publisher
SPIE
conference name
Medical Imaging 2021: Physics of Medical Imaging
conference location
Virtual, Online, United States
conference dates
2021-02-15 - 2021-02-19
external identifiers
  • scopus:85103689723
ISSN
1605-7422
ISBN
9781510640191
DOI
10.1117/12.2576131
project
Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging
language
English
LU publication?
yes
additional info
Funding 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). Publisher Copyright: © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
id
06dc14cc-8de7-4a21-afc9-7da04af11d15
date added to LUP
2021-05-27 13:47:10
date last changed
2024-04-20 06:32:34
@inproceedings{06dc14cc-8de7-4a21-afc9-7da04af11d15,
  abstract     = {{<p>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&gt;0.5). The proposed tumour growth model suggested close agreement with clinical results, supporting potential use in VCTs of temporal breast imaging.</p>}},
  author       = {{Tomic, Hanna and Bjerkén, Anna and Hellgren, Gustav and Johnson, Kristin and Förnvik, Daniel and Zackrisson, Sophia and Tingberg, Anders and Dustler, Magnus and Bakic, Predrag}},
  booktitle    = {{Medical Imaging 2021 : Physics of Medical Imaging}},
  editor       = {{Bosmans, Hilde and Zhao, Wei and Yu, Lifeng}},
  isbn         = {{9781510640191}},
  issn         = {{1605-7422}},
  keywords     = {{Digital mammography; Simulations; Tumour growth; Tumour volume doubling time; Virtual clinical trials}},
  language     = {{eng}},
  publisher    = {{SPIE}},
  series       = {{Progress in Biomedical Optics and Imaging - Proceedings of SPIE}},
  title        = {{Assessment of a tumour growth model for virtual clinical trials of breast cancer screening}},
  url          = {{http://dx.doi.org/10.1117/12.2576131}},
  doi          = {{10.1117/12.2576131}},
  volume       = {{11595}},
  year         = {{2021}},
}