Bibliographic Details
| Title: |
Radiomic imaging models for predicting breast cancer prognosis based on Interleukin-18 (IL18) |
| Authors: |
Qian Zhou, Mie Chen, Xiahui Ye, Jie Wang, Xun Lu, Wenjie Shi, Cheng Lu, Hong Yin |
| Source: |
BMC Medical Imaging, Vol 25, Iss 1, Pp 1-15 (2025) |
| Publisher Information: |
BMC, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Medical technology |
| Subject Terms: |
Breast cancer, IL18, Preciction, Radiomic models, Medical technology, R855-855.5 |
| Description: |
Abstract Objective Our study was aimed to established imaging models that can predict the prognosis of breast cancer patients based on IL18, so as to facilitate the formulation of more individualized treatment plans during the treatment. Method We established enhancing MRI models to predict the mRNA expression of IL18 in breast cancer tissues. Meanwhile, bioinformatics analysis was integrated to studied the expression of IL18 in breast cancer with its clinical significance to explore the potential molecular mechanisms and its association with the immune microenvironment. Result In breast cancer patients, high levels of IL18 expression are associated with improved overall survival (OS), and natural killer cells (NK cells) significantly increased (P |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1471-2342 |
| Relation: |
https://doaj.org/toc/1471-2342 |
| DOI: |
10.1186/s12880-025-02012-5 |
| Access URL: |
https://doaj.org/article/25dca8ca7bab4b709aba672ee6fb7918 |
| Accession Number: |
edsdoj.25dca8ca7bab4b709aba672ee6fb7918 |
| Database: |
Directory of Open Access Journals |
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