Cargando…

Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes

PURPOSE: The aim of this study is to improve the accuracy of classifying luminal or non-luminal subtypes of breast cancer by using computer algorithms based on DCE-MRI, and to validate the diagnostic efficacy of the model by considering the patient’s age of menarche and nodule size. METHODS: DCE-MRI...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Liang, Tian, Haowen, Ge, Hongwei, Tian, Juan, Lin, Yuxin, Liang, Chang, Liu, Tang, Zhao, Yiping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028183/ https://www.ncbi.nlm.nih.gov/pubmed/36959806 http://dx.doi.org/10.3389/fonc.2023.1107850

Ejemplares similares

Editorial: Use of DCE-MRI in female affecting cancers
por: Romeo, Valeria, et al.
Publicado: (2023)

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)

Automatic Detection and Quantitative DCE-MRI Scoring of Prostate Cancer Aggressiveness
por: Parra, Nestor Andres, et al.
Publicado: (2017)

The Diagnostic Performance of DCE-MRI in Evaluating the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer: A Meta-Analysis
por: Cheng, Qingqing, et al.
Publicado: (2020)

Predictive value of DCE-MRI and IVIM-DWI in osteosarcoma patients with neoadjuvant chemotherapy
por: Xia, Xibin, et al.
Publicado: (2022)

The value of DCE- MRI of the breast as a diagnostic tool in assessing amorphous calcifications in screening mammography
por: Wang, Siqi, et al.
Publicado: (2023)

Multiparameter MRI Model With DCE-MRI, DWI, and Synthetic MRI Improves the Diagnostic Performance of BI-RADS 4 Lesions
por: Sun, Shi Yun, et al.
Publicado: (2021)

Immune subtype identification and multi-layer perceptron classifier construction for breast cancer
por: Yang, Xinbo, et al.
Publicado: (2022)

Joint Dense Residual and Recurrent Attention Network for DCE-MRI Breast Tumor Segmentation
por: Qin, ChuanBo, et al.
Publicado: (2022)

The Potential Use of DCE-MRI Texture Analysis to Predict HER2 2+ Status
por: Jiang, Zejun, 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)

Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors
por: Zhang, Bin, et al.
Publicado: (2021)

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

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)

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)

CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI
por: Santucci, Domiziana, et al.
Publicado: (2022)

Texture Analysis of Breast DCE-MRI Based on Intratumoral Subregions for Predicting HER2 2+ Status
por: Lu, Hecheng, et al.
Publicado: (2020)

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)

Machine learning for predicting breast-conserving surgery candidates after neoadjuvant chemotherapy based on DCE-MRI
por: Chen, Zhigeng, et al.
Publicado: (2023)

BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning
por: Liu, Hong, et al.
Publicado: (2022)

BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning
por: Zhou, Jiejie, et al.
Publicado: (2021)

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)

Tumor Microenvironment Modifications Recorded With IVIM Perfusion Analysis and DCE-MRI After Neoadjuvant Radiotherapy: A Preclinical Study
por: Lallemand, François, et al.
Publicado: (2021)

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)

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
por: Fan, Ming, et al.
Publicado: (2017)

DCE-MRI Quantitative Parameters as Predictors of Treatment Response in Patients With Locally Advanced Cervical Squamous Cell Carcinoma Underwent CCRT
por: Liu, Bing, et al.
Publicado: (2020)

DCE-MRI radiomics models predicting the expression of radioresistant-related factors of LRP-1 and survivin in locally advanced rectal cancer
por: Li, Zhiheng, et al.
Publicado: (2022)

DCE-MRI and DWI can differentiate benign from malignant prostate tumors when serum PSA is ≥10 ng/ml
por: Sun, Hongmei, et al.
Publicado: (2022)

A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI
por: Mehmood, Mubashar, et al.
Publicado: (2023)

Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model
por: Liang, Bin, et al.
Publicado: (2020)

Potential (18)F-RGD PET/CT and DCE-MRI Imaging-Based Biomarkers for Postoperative Survival Prediction Among Patients With Newly Diagnosed Glioblastoma Treated With Bevacizumab and Chemoradiotherapy
por: Li, Li, et al.
Publicado: (2022)

Multi-Class Weed Recognition Using Hybrid CNN-SVM Classifier
por: Wu, Yanjuan, et al.
Publicado: (2023)

Texture Analysis Using Semiquantitative Kinetic Parameter Maps from DCE-MRI: Preoperative Prediction of HER2 Status in Breast Cancer
por: Song, Lirong, et al.
Publicado: (2021)

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)

Longitudinal Correlations Between Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced (DCE) MRI During Radiotherapy in Prostate Cancer Patients
por: Kooreman, Ernst S., et al.
Publicado: (2022)

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)

Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system
por: Fusco, Roberta, et al.
Publicado: (2017)

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

Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI
por: Hallinan, James Thomas Patrick Decourcy, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_shll32ciduoqipg63uj47g5oro