Evidence map›Paper›PMID 39680267›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

FEM simulation of breast deformation with semi-fluid representation.

Shota Takahashi, Hiroshi Fujimoto, Katsuhiro Nasu, Toshiya Nakaguchi, Naoto Ienaga, Yoshihiro Kuroda

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shota TakahashiDegree Programs in System and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8573, Japan.
Hiroshi FujimotoDepartment of General Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana Chuo-ku, Chiba City, Chiba, 260-0856, Japan.
Katsuhiro NasuComprehensive Radiology Center, Chiba University Hospital, 1-8-1 Inohana Chuo-ku, Chiba City, Chiba, 266-8677, Japan.
Toshiya NakaguchiCenter for Frontier Medical Engineering, Chiba University, 1-33 Yayoi Cho Inage Ku, Chiba City, Chiba, 263-8522, Japan.
Naoto IenagaInstitute of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8573, Japan.
Yoshihiro KurodaInstitute of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki, 305-8573, Japan. kuroda@iit.tsukuba.ac.jp.ORCID http://orcid.org/0000-0003-4511-8195

Funding

Japan Agency for Medical Research and Development JP23YM0126803Japan Society for the Promotion of Science JP23K08084
6 · The paper itself

Abstract

purposeIn image-guided surgery for breast cancer, the representation of the breast deformation between planning and surgery plays a key role. The breast deforms significantly and behaves as a fluid with some constraints. Concretely, the deep fat layer in the breast deforms fluidly due to its incomplete fixation to the chest wall, while the anchoring structures by fascia avoid excessive deformation. In this study, we propose a method to simulate the semi-fluid deformation of the breast, considering the fluidic properties of the adipose tissue under the constraints of the anchoring structures.

methodsThe proposed method prioritizes anatomical features of the breast, enhancing tissue mobility near the chest wall and modeling the anchoring structure of the fascia along the inframammary fold. To simulate semi-fluid deformation, constraint force from anchoring structure is applied to prone-positioned breast model, using a finite element method.

resultsThe results of the evaluation indicate a tumor center registration error of 11.87 ± 4.05 mm. Additionally, we verified how semi-fluid representation affects the registration error. The tumor's Hausdorff distance decreased from 12.89 ± 6.24 mm to 11.50 ± 4.38 mm with considering semi-fluidity.

conclusionThe results showed that the use of semi-fluid representation tends to reduce registration errors. Therefore, it was suggested that the proposed method could improve the accuracy of breast posture conversion.

Indexed as

BreastBreast NeoplasmsComputer SimulationFinite Element AnalysisSurgery, Computer-AssistedFemaleHumansAnchoring structureFinite element methodImage-guided surgeryMagnetic resonance imagingSemi-fluidity

Identifiers

PMID39680267
PMCPMC12034591

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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.