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Sophia Zackrisson, MD, PhD. Photo.

Sophia Zackrisson

Manager

Sophia Zackrisson, MD, PhD. Photo.

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

Author

  • Hanna Tomic
  • Anna Bjerkén
  • Gustav Hellgren
  • Kristin Johnson
  • Daniel Förnvik
  • Sophia Zackrisson
  • Anders Tingberg
  • Magnus Dustler
  • Predrag Bakic

Editor

  • Hilde Bosmans
  • Wei Zhao
  • Lifeng Yu

Summary, in English

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.

Department/s

  • LUCC: Lund University Cancer Centre
  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö
  • EpiHealth: Epidemiology for Health

Publishing year

2021

Language

English

Publication/Series

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volume

11595

Document type

Conference paper

Publisher

SPIE

Topic

  • Cancer and Oncology
  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • Digital mammography
  • Simulations
  • Tumour growth
  • Tumour volume doubling time
  • Virtual clinical trials

Conference name

Medical Imaging 2021: Physics of Medical Imaging

Conference date

2021-02-15 - 2021-02-19

Conference place

Virtual, Online, United States

Status

Published

Project

  • Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging

Research group

  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö

ISBN/ISSN/Other

  • ISSN: 1605-7422
  • ISBN: 9781510640191