Breast conserving surgery outcome prediction: A patient-specific, integrated multi-modal imaging and mechano-biological modelling framework

Björn Eiben*, Rene Lacher, Vasileios Vavourakis, John H. Hipwell, Danail Stoyanov, Norman R. Williams, Jörg Sabczynski, Thomas Bülow, Dominik Kutra, Kirsten Meetz, Stewart Young, Hans Barschdorf, Hélder P. Oliveira, Jaime S. Cardoso, João P. Monteiro, Hooshiar Zolfagharnasab, Ralph Sinkus, Pedro Gouveia, Gerrit Jan Liefers, Barbara MolenkampCornelis J H van de Velde, David J. Hawkes, Maria João Cardoso, Mohammed Keshtgar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Patient-specific surgical predictions of Breast Conserving Therapy, through mechano-biological simulations, could inform the shared decision making process between clinicians and patients by enabling the impact of different surgical options to be visualised. We present an overview of our processing workflow that integrates MR images and three dimensional optical surface scans into a personalised model. Utilising an interactively generated surgical plan, a multi-scale open source finite element solver is employed to simulate breast deformity based on interrelated physiological and biomechanical processes that occur post surgery. Our outcome predictions, based on the presurgical imaging, were validated by comparing the simulated outcome with follow-up surface scans of four patients acquired 6 to 12 months post-surgery. A mean absolute surface distance of 3.3mm between the follow-up scan and the simulation was obtained.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer‐Verlag Berlin Heidelberg
Pages274-281
Number of pages8
Volume9699
ISBN (Print)9783319415451
DOIs
Publication statusPublished - 17 Jun 2016
Event13th International Workshop on Breast Imaging, IWDM 2016 - Malmo, Sweden
Duration: 19 Jun 201622 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9699
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference13th International Workshop on Breast Imaging, IWDM 2016
Country/TerritorySweden
CityMalmo
Period19/06/201622/06/2016

Keywords

  • Breast imaging
  • Finite element
  • Image registration
  • Mathematical modelling
  • Oncoplastic breast surgery
  • Surface reconstruction
  • Surgical planning

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