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Development and evaluation of a method for tumor growth simulation in 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 R. LU (2022) In Journal of Medical Imaging 9(3).
Abstract

Purpose: Image-based analysis of breast tumor growth rate may optimize breast cancer screening and diagnosis by suggesting optimal screening intervals and guide the clinical discussion regarding personalized screening based on tumor aggressiveness. Simulation-based virtual clinical trials (VCTs) can be used to evaluate and optimize medical imaging systems and design clinical trials. This study aimed to simulate tumor growth over multiple screening rounds. Approach: This study evaluates a preliminary method for simulating tumor growth. Clinical data on tumor volume doubling time (TVDT) was used to fit a probability distribution ("clinical fit") of TVDTs. Simulated tumors with TVDTs sampled from the clinical fit were inserted into 30... (More)

Purpose: Image-based analysis of breast tumor growth rate may optimize breast cancer screening and diagnosis by suggesting optimal screening intervals and guide the clinical discussion regarding personalized screening based on tumor aggressiveness. Simulation-based virtual clinical trials (VCTs) can be used to evaluate and optimize medical imaging systems and design clinical trials. This study aimed to simulate tumor growth over multiple screening rounds. Approach: This study evaluates a preliminary method for simulating tumor growth. Clinical data on tumor volume doubling time (TVDT) was used to fit a probability distribution ("clinical fit") of TVDTs. Simulated tumors with TVDTs sampled from the clinical fit were inserted into 30 virtual breasts ("simulated cohort") and used to simulate mammograms. Based on the TVDT, two successive screening rounds were simulated for each virtual breast. TVDTs from clinical and simulated mammograms were compared. Tumor sizes in the simulated mammograms were measured by a radiologist in three repeated sessions to estimate TVDT. Results: The mean TVDT was 297 days (standard deviation, SD, 169 days) in the clinical fit and 322 days (SD, 217 days) in the simulated cohort. The mean estimated TVDT was 340 days (SD, 287 days). No significant difference was found between the estimated TVDTs from simulated mammograms and clinical TVDT values (p > 0.5). No significant difference (p > 0.05) was observed in the reproducibility of the tumor size measurements between the two screening rounds. Conclusions: The proposed method for tumor growth simulation has demonstrated close agreement with clinical results, supporting potential use in VCTs of temporal breast imaging.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
digital mammography, simulation, tumor growth, tumor volume doubling time, virtual clinical trials
in
Journal of Medical Imaging
volume
9
issue
3
article number
033503
publisher
SPIE
external identifiers
  • scopus:85133541556
  • pmid:35685119
ISSN
2329-4302
DOI
10.1117/1.JMI.9.3.033503
language
English
LU publication?
yes
id
323196bb-3eb4-4488-bccb-97d35d84f9a8
date added to LUP
2022-09-27 08:42:01
date last changed
2024-06-13 19:37:13
@article{323196bb-3eb4-4488-bccb-97d35d84f9a8,
  abstract     = {{<p>Purpose: Image-based analysis of breast tumor growth rate may optimize breast cancer screening and diagnosis by suggesting optimal screening intervals and guide the clinical discussion regarding personalized screening based on tumor aggressiveness. Simulation-based virtual clinical trials (VCTs) can be used to evaluate and optimize medical imaging systems and design clinical trials. This study aimed to simulate tumor growth over multiple screening rounds. Approach: This study evaluates a preliminary method for simulating tumor growth. Clinical data on tumor volume doubling time (TVDT) was used to fit a probability distribution ("clinical fit") of TVDTs. Simulated tumors with TVDTs sampled from the clinical fit were inserted into 30 virtual breasts ("simulated cohort") and used to simulate mammograms. Based on the TVDT, two successive screening rounds were simulated for each virtual breast. TVDTs from clinical and simulated mammograms were compared. Tumor sizes in the simulated mammograms were measured by a radiologist in three repeated sessions to estimate TVDT. Results: The mean TVDT was 297 days (standard deviation, SD, 169 days) in the clinical fit and 322 days (SD, 217 days) in the simulated cohort. The mean estimated TVDT was 340 days (SD, 287 days). No significant difference was found between the estimated TVDTs from simulated mammograms and clinical TVDT values (p &gt; 0.5). No significant difference (p &gt; 0.05) was observed in the reproducibility of the tumor size measurements between the two screening rounds. Conclusions: The proposed method for tumor growth simulation has demonstrated 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 R.}},
  issn         = {{2329-4302}},
  keywords     = {{digital mammography; simulation; tumor growth; tumor volume doubling time; virtual clinical trials}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{3}},
  publisher    = {{SPIE}},
  series       = {{Journal of Medical Imaging}},
  title        = {{Development and evaluation of a method for tumor growth simulation in virtual clinical trials of breast cancer screening}},
  url          = {{http://dx.doi.org/10.1117/1.JMI.9.3.033503}},
  doi          = {{10.1117/1.JMI.9.3.033503}},
  volume       = {{9}},
  year         = {{2022}},
}