Evidence map›Paper›PMID 41573376›Full record

ArticleBioengineering & translational medicine2026

Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning.

Felicia Alfano, Pedro Navas, Pablo Lamata, Karla Ferreres García, Juan E Ortuño, Oscar Bueno Zamora, Santiago Lizarraga, Andrés Santos, Javier Pascau, José M Goicolea and 1 more

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Felicia AlfanoBiomedical Image Technologies Universidad Politécnica de Madrid Madrid Spain.ORCID https://orcid.org/0000-0002-7778-3838
Pedro NavasDepartment of Continuum Mechanics and Theory of Structures Universidad Politécnica de Madrid Madrid Spain.
Pablo LamataSchool of Biomedical Engineering and Imaging Sciences King's College London UK.
Karla Ferreres GarcíaInstituto de Investigación Sanitaria Gregorio Marañón Universidad Carlos III de Madrid Madrid Spain.
Juan E OrtuñoBiomedical Image Technologies Universidad Politécnica de Madrid Madrid Spain.ORCID https://orcid.org/0000-0001-6636-602X
Oscar Bueno ZamoraInstituto de Investigación Sanitaria Gregorio Marañón Universidad Carlos III de Madrid Madrid Spain.
Santiago LizarragaInstituto de Investigación Sanitaria Gregorio Marañón Universidad Carlos III de Madrid Madrid Spain.
Andrés SantosBiomedical Image Technologies Universidad Politécnica de Madrid Madrid Spain.
Javier PascauInstituto de Investigación Sanitaria Gregorio Marañón Universidad Carlos III de Madrid Madrid Spain.
José M GoicoleaDepartment of Continuum Mechanics and Theory of Structures Universidad Politécnica de Madrid Madrid Spain.
María J Ledesma-CarbayoBiomedical Image Technologies Universidad Politécnica de Madrid Madrid Spain.ORCID https://orcid.org/0000-0001-6846-3923

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

breast cancerpreoperative localizationsurgical planningvisco‐hyperelasticity

Identifiers

PMID41573376
PMCPMC12821229

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.