Numerical and physical modeling of breast cancer based on image fusion and artificial intelligence.
3D breast modeling
Artificial intelligence
Breast cancer
Image fusion
Numerical methods
Scanning
Journal
Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
13
04
2023
accepted:
14
07
2023
medline:
18
9
2023
pubmed:
25
7
2023
entrez:
25
7
2023
Statut:
ppublish
Résumé
The key problem raised in the paper is the change in the position of the breast tumor due to magnetic resonance imaging examinations in the abdominal position relative to the supine position during the surgical procedure. Changing the position of the patient leads to significant deformation of the breast, which leads to the inability to indicate the location of the neoplastic lesion correctly. This study outlines a methodological process for treating cancer patients. Pre-qualification assessments are conducted for magnetic resonance imaging (MRI), and 3D scans are taken in three positions: supine with arms raised, supine surgical position (SS), and standing. MRI and standard ultrasonography (USG) imaging are performed, and breast and cancer tissue are segmented from the MRI images. Finite element analysis is used to simulate tissue behavior in different positions, and an artificial neural network is trained to predict tumor dislocation. Based on the model, a 3D-printed breast with a highlighted tumor is manufactured. This computer-aided analysis is used to create a detailed surgical plan, and lumpectomy surgery is performed in the SS. In addition, the geometry of the tumor is presented to the medical staff as a 3D-printed element. By utilizing a comprehensive range of techniques, including pre-qualification assessment, 3D scanning, MRI and USG imaging, segmentation of breast and cancer tissue, model analysis, image fusion, finite element analysis, artificial neural network training, and additive manufacturing, a detailed surgical plan can be created for performing lumpectomy surgery in the supine surgical position. The new approach developed for the pre-operative assessment and surgical planning of breast cancer patients has demonstrated significant potential for improving the accuracy and efficacy of surgical procedures. This procedure may also help the pathomorphological justification. Moreover, transparent 3D-printed breast models can benefit breast cancer operation assistance. The physical and computational models can help surgeons visualize the breast and the tumor more accurately and detailedly, allowing them to plan the surgery with greater precision and accuracy.
Identifiants
pubmed: 37490172
doi: 10.1007/s10549-023-07056-1
pii: 10.1007/s10549-023-07056-1
pmc: PMC10504219
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
33-43Informations de copyright
© 2023. The Author(s).
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