A Computational Framework for Breast Surgery: Application to Breast Conserving Therapy

作者: David Thanoon , Marc Garbey , Nam-Ho Kim , Barbara Bass

DOI: 10.1007/978-1-4419-1123-0_15

关键词: Breast cancerSegmental MastectomyBreast reconstructionBreast surgeryOncologyLumpectomyMastectomyInternal medicineRadiologyRadiation therapyQuadrantectomyMedicine

摘要: If a surgical intervention is needed, early stage breast cancer may lead to three basic surgery choices: breast-sparing followed by radiation therapy, mastectomy, mastectomy with reconstruction surgery. Breast-sparing (breast conservation therapy (BCT)) removes the tumor and margin of surrounding normal tissues. It also known other names: lumpectomy, partial segmental quadrantectomy. Radiation follows lumpectomy eliminate any microscopic cells in remaining tissue. The purpose BCT give women same cure rate they would have if were treated but leave intact, an appearance texture as close possible what had before treatment. Trials for conservative patients affected (I II) demonstrated conclusively that produces disease control survival rates at least equivalent those possibly better long run II [1]. combined therapy. While tissue contain negative margin, radiotherapy insure residual are controlled. Contra-indications generally high probability recurrence, damage from irradiation. cosmesis after might be satisfactory, quality result very sensitive location extent tumor. Further, deformable structure complicated anatomy patient specific. mechanical properties glandular, fatty cancerous quite different, vary one another. Cooper’s ligament plays key role outcome. Strong asymmetry or large size prone anesthetic result. Surgical results depending on time scale. Beside short scale modeling caught model, can expect inflammation, postsurgical radiotherapy, healing dynamic change significantly cosmetic In words biology well.

参考文章(22)
Benjamin Ribba, Thierry Colin, Santiago Schnell, A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies. Theoretical Biology and Medical Modelling. ,vol. 3, pp. 7- 7 ,(2006) , 10.1186/1742-4682-3-7
A. Manduca, T.E. Oliphant, M.A. Dresner, J.L. Mahowald, S.A. Kruse, E. Amromin, J.P. Felmlee, J.F. Greenleaf, R.L. Ehman, Magnetic resonance elastography: Non-invasive mapping of tissue elasticity Medical Image Analysis. ,vol. 5, pp. 237- 254 ,(2001) , 10.1016/S1361-8415(00)00039-6
Vijay Rajagopal, Angela Lee, Jae-Hoon Chung, Ruth Warren, Ralph P. Highnam, Martyn P. Nash, Poul M.F. Nielsen, Creating Individual-specific Biomechanical Models of the Breast for Medical Image Analysis Academic Radiology. ,vol. 15, pp. 1425- 1436 ,(2008) , 10.1016/J.ACRA.2008.07.017
Alexander M Bailey, Bryan C Thorne, Shayn M Peirce, None, Multi-cell Agent-based Simulation of the Microvasculature to Study the Dynamics of Circulating Inflammatory Cell Trafficking Annals of Biomedical Engineering. ,vol. 35, pp. 916- 936 ,(2007) , 10.1007/S10439-007-9266-1
Minki Hwang, Marc Garbey, Scott A. Berceli, Roger Tran-Son-Tay, Rule-based simulation of multi-cellular biological systems-a review of modeling techniques Cellular and Molecular Bioengineering. ,vol. 2, pp. 285- 294 ,(2009) , 10.1007/S12195-009-0078-2
Rashmi K. Benda, Nancy Price Mendenhall, D. Scott Lind, Juan C. Cendan, Barbara F. Shea, Lisa C. Richardson, Edward M. Copeland, Breast-conserving therapy (BCT) for early-stage breast cancer Journal of Surgical Oncology. ,vol. 85, pp. 14- 27 ,(2004) , 10.1002/JSO.20000
Christine Tanner, Julia A. Schnabel, Derek L. G. Hill, David J. Hawkes, Martin O. Leach, D. Rodney Hose, Factors influencing the accuracy of biomechanical breast models. Medical Physics. ,vol. 33, pp. 1758- 1769 ,(2006) , 10.1118/1.2198315
Thomas A. Krouskop, Thomas M. Wheeler, Faouzi Kallel, Brian S. Garra, Timothy Hall, Elastic Moduli of Breast and Prostate Tissues under Compression Ultrasonic Imaging. ,vol. 20, pp. 260- 274 ,(1998) , 10.1177/016173469802000403