Patient specific modeling of palpation-based prostate cancer diagnosis: effects of pelvic cavity anatomy and intrabladder pressure

Javier Palacio Torralba, Elizabeth Jiménez Aguilar, Daniel W. Good, Steven Hammer, Alan S McNeill, Grant D. Stewart, Robert L. Reuben, Yuhang Chen

Research output: Contribution to journalArticle

3 Citations (Scopus)
120 Downloads (Pure)

Abstract

Computational modeling has become a successful tool for scientific advances including understanding the behavior of biological and biomedical systems as well as improving clinical practice. In most cases, only general models are used without taking into account patient-specific features. However, patient specificity has proven to be crucial in guiding clinical practice because of disastrous consequences that can arise should the model be inaccurate. This paper proposes a framework for the computational modeling applied to the example of the male pelvic cavity for the purpose of prostate cancer diagnostics using palpation. The effects of patient specific structural features on palpation response are studied in three selected patients with very different pathophysiological conditions whose pelvic cavities are reconstructed from MRI scans. In particular, the role of intrabladder pressure in the outcome of digital rectal examination is investigated with the objective of providing guidelines to practitioners to enhance the effectiveness of diagnosis. Furthermore, the presence of the pelvic bone in the model is assessed to determine the pathophysiological conditions in which it has to be modeled. The conclusions and suggestions of this work have potential use not only in clinical practice and also for biomechanical modeling where structural patient-specificity needs to be considered.

Original languageEnglish
Article numbere02734
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume32
Issue number1
Early online date19 Aug 2015
DOIs
Publication statusPublished - Jan 2016

Keywords

  • Cancer diagnosis
  • Palpation
  • Patient-specific modeling
  • Prostate cancer
  • Soft tissue
  • Tissue diagnostics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Molecular Biology
  • Computational Theory and Mathematics
  • Software
  • Applied Mathematics
  • Modelling and Simulation

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