Literature DB >> 29430479

Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery.

Rebekah H Griesenauer1, Jared A Weis2, Lori R Arlinghaus3, Ingrid M Meszoely4, Michael I Miga1,3,5,6,7.   

Abstract

Biomechanical breast models have been employed for applications in image registration and diagnostic analysis, breast augmentation simulation, and for surgical and biopsy guidance. Accurate applications of stress-strain relationships of tissue within the breast can improve the accuracy of biomechanical models that attempt to simulate breast deformations. Reported stiffness values for adipose, glandular, and cancerous tissue types vary greatly. Variations in reported stiffness properties have been attributed to differences in testing methodologies and assumptions, measurement errors, and natural interpatient differences in tissue elasticity. Therefore, the ability to determine patient-specific in vivo breast tissue properties would be advantageous for these procedural applications. While some in vivo elastography methods are not quantitative and others do not measure material properties under deformation conditions that are appropriate to the application of concern, in this study, we developed an elasticity estimation method that is performed using deformations representative of supine therapeutic procedures. More specifically, reconstruction of mechanical properties appropriate for the standard-of-care supine lumpectomy was performed by iteratively fitting two anatomical images before and after deformations taking place in the supine breast configuration. The method proposed is workflow-friendly, quantitative, and uses a noncontact, gravity-induced deformation source.

Entities:  

Keywords:  biomechanical modeling; breast cancer; elastography; image guidance; lumpectomy; magnetic resonance imaging; registration

Year:  2018        PMID: 29430479      PMCID: PMC5803550          DOI: 10.1117/1.JMI.5.1.015003

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  41 in total

1.  Repeat surgery after breast conservation for the treatment of stage 0 to II breast carcinoma: a report from the National Cancer Data Base, 2004-2010.

Authors:  Lee G Wilke; Tomasz Czechura; Chih Wang; Brittany Lapin; Erik Liederbach; David P Winchester; Katharine Yao
Journal:  JAMA Surg       Date:  2014-12       Impact factor: 14.766

Review 2.  Age-related structural and functional changes in the breast: multimodality correlation with digital mammography, computed tomography, magnetic resonance imaging, and positron emission tomography.

Authors:  Richard G Abramson; Ayse Mavi; Tevfik Cermik; Sandip Basu; Natasha E Wehrli; Mohamed Houseni; Shipra Mishra; Jay Udupa; Paras Lakhani; Andrew D A Maidment; Drew A Torigian; Abass Alavi
Journal:  Semin Nucl Med       Date:  2007-05       Impact factor: 4.446

3.  Evaluation of 3D modality-independent elastography for breast imaging: a simulation study.

Authors:  J J Ou; R E Ong; T E Yankeelov; M I Miga
Journal:  Phys Med Biol       Date:  2007-12-19       Impact factor: 3.609

4.  Utility of magnetic resonance imaging in the management of breast cancer: evidence for improved preoperative staging.

Authors:  L Esserman; N Hylton; L Yassa; J Barclay; S Frankel; E Sickles
Journal:  J Clin Oncol       Date:  1999-01       Impact factor: 44.544

5.  Supine breast MRI.

Authors:  Peter Siegler; Claire M B Holloway; Petrina Causer; Gilbert Thevathasan; Donald B Plewes
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

6.  Elastography: elasticity imaging using ultrasound with application to muscle and breast in vivo.

Authors:  I Céspedes; J Ophir; H Ponnekanti; N Maklad
Journal:  Ultrason Imaging       Date:  1993-04       Impact factor: 1.578

7.  Reasons for re-excision after lumpectomy for breast cancer: insight from the American Society of Breast Surgeons Mastery(SM) database.

Authors:  Jeffrey Landercasper; Eric Whitacre; Amy C Degnim; Mohammed Al-Hamadani
Journal:  Ann Surg Oncol       Date:  2014-07-22       Impact factor: 5.344

8.  The influence of preoperative MRI of the breasts on recurrence rate in patients with breast cancer.

Authors:  Uwe Fischer; Olivier Zachariae; Friedemann Baum; Dorit von Heyden; Matthias Funke; Torsten Liersch
Journal:  Eur Radiol       Date:  2004-07-10       Impact factor: 5.315

9.  Prediction of prone-to-supine tumor displacement in the breast using patient position change: investigation with prone MRI and supine CT.

Authors:  Hiroko Satake; Satoko Ishigaki; Mariko Kitano; Shinji Naganawa
Journal:  Breast Cancer       Date:  2014-06-10       Impact factor: 4.239

10.  Reoperation rates after breast conserving surgery for breast cancer among women in England: retrospective study of hospital episode statistics.

Authors:  R Jeevan; D A Cromwell; M Trivella; G Lawrence; O Kearins; J Pereira; C Sheppard; C M Caddy; J H P van der Meulen
Journal:  BMJ       Date:  2012-07-12
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  1 in total

1.  Developing a biomechanical model-based elasticity imaging method for assessing hormone receptor positive breast cancer treatment-related myocardial stiffness changes.

Authors:  Caroline E Miller; Jennifer H Jordan; Alexandra Thomas; Jared A Weis
Journal:  J Med Imaging (Bellingham)       Date:  2021-09-30
  1 in total

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