Felicia Alfano, Pedro Navas, Pablo Lamata, Karla Ferreres García, Juan E. Ortuño, Oscar Bueno Zamora, Santiago Lizarraga, Andrés Santos, Javier Pascau, José M. Goicolea, María J. Ledesma‐Carbayo
{"title":"Patient‐specific visco‐hyperelastic mechanical model for breast tumor localization in surgical planning","authors":"Felicia Alfano, Pedro Navas, Pablo Lamata, Karla Ferreres García, Juan E. Ortuño, Oscar Bueno Zamora, Santiago Lizarraga, Andrés Santos, Javier Pascau, José M. Goicolea, María J. Ledesma‐Carbayo","doi":"10.1002/btm2.70044","DOIUrl":null,"url":null,"abstract":"Breast‐conserving surgery is typically performed with the patient in a supine position, whereas preoperative diagnostic MRI breast images are obtained with the patient in a prone position. The change in patient positioning causes significant large deformations, requiring preoperative localization of the detected lesions. Developing an individual‐specific breast biomechanical model capable of simulating these deformations remains challenging yet highly desirable. This study presents a novel approach that combines finite element analysis with the optimization of mechanical properties of breast tissues, using only surface information to construct a personalized deformation model of the breast. A visco‐hyperelastic model is employed to characterize the stress–strain relationship of breast tissue. The proposed method has been tested on 15 cases of breast cancer and achieves a tumor localization error of 8.12 ± 4.15 mm. The results show that this approach provides an accurate and realistic estimation of large breast tissue deformations and yields smaller tumor localization errors compared to previously reported methods.","PeriodicalId":9263,"journal":{"name":"Bioengineering & Translational Medicine","volume":"43 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioengineering & Translational Medicine","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/btm2.70044","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Breast‐conserving surgery is typically performed with the patient in a supine position, whereas preoperative diagnostic MRI breast images are obtained with the patient in a prone position. The change in patient positioning causes significant large deformations, requiring preoperative localization of the detected lesions. Developing an individual‐specific breast biomechanical model capable of simulating these deformations remains challenging yet highly desirable. This study presents a novel approach that combines finite element analysis with the optimization of mechanical properties of breast tissues, using only surface information to construct a personalized deformation model of the breast. A visco‐hyperelastic model is employed to characterize the stress–strain relationship of breast tissue. The proposed method has been tested on 15 cases of breast cancer and achieves a tumor localization error of 8.12 ± 4.15 mm. The results show that this approach provides an accurate and realistic estimation of large breast tissue deformations and yields smaller tumor localization errors compared to previously reported methods.
期刊介绍:
Bioengineering & Translational Medicine, an official, peer-reviewed online open-access journal of the American Institute of Chemical Engineers (AIChE) and the Society for Biological Engineering (SBE), focuses on how chemical and biological engineering approaches drive innovative technologies and solutions that impact clinical practice and commercial healthcare products.