Cargando…

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer

The purpose of this study was to investigate the role of features derived from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical information to predict the molecular subtypes of breast cancer. In particular, 60 breast cancers with the following four m...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fan, Ming, Li, Hui, Wang, Shijian, Zheng, Bin, Zhang, Juan, Li, Lihua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293281/ https://www.ncbi.nlm.nih.gov/pubmed/28166261 http://dx.doi.org/10.1371/journal.pone.0171683

Ejemplares similares

Unsupervised Analysis Based on DCE-MRI Radiomics Features Revealed Three Novel Breast Cancer Subtypes with Distinct Clinical Outcomes and Biological Characteristics
por: Ming, Wenlong, et al.
Publicado: (2022)

Application of DCE-MRI radiomics signature analysis in differentiating molecular subtypes of luminal and non-luminal breast cancer
por: Huang, Ting, et al.
Publicado: (2023)

Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer
por: Juan, Ma-Wen, et al.
Publicado: (2018)

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Radiomics Features of DCE-MRI
por: Cui, Xiaoyu, et al.
Publicado: (2019)

Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer
por: Mao, Ning, et al.
Publicado: (2020)

Radiomics Analysis of Multi-Phase DCE-MRI in Predicting Tumor Response to Neoadjuvant Therapy in Breast Cancer
por: Peng, Shuyi, et al.
Publicado: (2021)

DCE-MRI-based radiomics in predicting angiopoietin-2 expression in hepatocellular carcinoma
por: Zheng, Jing, et al.
Publicado: (2023)

Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes
por: Sun, Liang, et al.
Publicado: (2023)

Intra- and Peritumoral Radiomics Model Based on Early DCE-MRI for Preoperative Prediction of Molecular Subtypes in Invasive Ductal Breast Carcinoma: A Multitask Machine Learning Study
por: Zhang, Shuhai, et al.
Publicado: (2022)

Identifying Associations between DCE-MRI Radiomic Features and Expression Heterogeneity of Hallmark Pathways in Breast Cancer: A Multi-Center Radiogenomic Study
por: Ming, Wenlong, et al.
Publicado: (2022)

Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer
por: Luo, Hong-Bing, et al.
Publicado: (2021)

Association between radiomics features of DCE-MRI and CD8(+) and CD4(+) TILs in advanced gastric cancer
por: Huang, Huizhen, et al.
Publicado: (2023)

DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancer
por: Qu, Jinrong, et al.
Publicado: (2022)

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram
por: Liu, Ying, et al.
Publicado: (2022)

Invasive ductal breast cancer molecular subtype prediction by MRI radiomic and clinical features based on machine learning
por: Sheng, Weiyong, et al.
Publicado: (2022)

Radiomic Evaluations of the Diagnostic Performance of DM, DBT, DCE MRI, DWI, and Their Combination for the Diagnosisof Breast Cancer
por: Niu, Shuxian, et al.
Publicado: (2021)

3T DCE-MRI Radiomics Improves Predictive Models of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Montemezzi, Stefania, et al.
Publicado: (2021)

Non-Mass Enhancements on DCE-MRI: Development and Validation of a Radiomics-Based Signature for Breast Cancer Diagnoses
por: Li, Yan, et al.
Publicado: (2021)

Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer
por: Li, Yuting, et al.
Publicado: (2023)

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer
por: Ma, Mingming, et al.
Publicado: (2021)

DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy Response
por: Thibault, Guillaume, et al.
Publicado: (2017)

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
por: Braman, Nathaniel M., et al.
Publicado: (2017)

Multi-modality radiomics nomogram based on DCE-MRI and ultrasound images for benign and malignant breast lesion classification
por: Liu, Xinmiao, et al.
Publicado: (2022)

Radiomics model to classify mammary masses using breast DCE-MRI compared to the BI-RADS classification performance
por: Debbi, Kawtar, et al.
Publicado: (2023)

Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma
por: Sun, Chen, et al.
Publicado: (2022)

The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas
por: Yuan, Su Juan, et al.
Publicado: (2017)

Breast MR with special focus on DW-MRI and DCE-MRI
por: Petralia, G., et al.
Publicado: (2011)

Correlation of DCE-MRI Perfusion Parameters and Molecular Biology of Breast Infiltrating Ductal Carcinoma
por: Liu, Li, et al.
Publicado: (2021)

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
por: Li, Hui, et al.
Publicado: (2016)

Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Peng, Yunsong, et al.
Publicado: (2022)

Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
por: Braman, Nathaniel M., et al.
Publicado: (2017)

Radiomics Based on DCE-MRI Improved Diagnostic Performance Compared to BI-RADS Analysis in Identifying Sclerosing Adenosis of the Breast
por: Ruan, Mei, et al.
Publicado: (2022)

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1
por: Chitalia, Rhea, et al.
Publicado: (2022)

Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions
por: Ohashi, Akane, et al.
Publicado: (2023)

Multiregional Radiomic Signatures Based on Functional Parametric Maps from DCE-MRI for Preoperative Identification of Estrogen Receptor and Progesterone Receptor Status in Breast Cancer
por: Zhong, Shiling, et al.
Publicado: (2022)

Multiparametric MRI Features of Breast Cancer Molecular Subtypes
por: Szep, Madalina, et al.
Publicado: (2022)

Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study
por: Veeraraghavan, Harini, et al.
Publicado: (2018)

The Diagnostic Performance of Machine Learning-Based Radiomics of DCE-MRI in Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Meta-Analysis
por: Zhang, Jing, et al.
Publicado: (2022)

Development of a Molecular-Subtype-Associated Immune Prognostic Signature That Can Be Recognized by MRI Radiomics Features in Bladder Cancer
por: Liu, Shenghua, et al.
Publicado: (2023)

A Gradient-Based Approach for Breast DCE-MRI Analysis
por: Losurdo, L., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_hmdmqdqrfufc664pmmg40nu2hl