Cargando…

A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer

OBJECTIVES: To develop and validate a radiomics-based nomogram with texture features from mammography for the prognostic prediction in patients with early-stage triple-negative breast cancer (TNBC). METHODS: The study included 200 consecutive patients with TNBC (training cohort: n = 133, validation...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jiang, Xian, Zou, Xiuhe, Sun, Jing, Zheng, Aiping, Su, Chao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468630/ https://www.ncbi.nlm.nih.gov/pubmed/32922222 http://dx.doi.org/10.1155/2020/5418364

Ejemplares similares

Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer
por: Ge, Shuai, et al.
Publicado: (2022)

Diagnostic Value of Radiomics Analysis in Contrast-Enhanced Spectral Mammography for Identifying Triple-Negative Breast Cancer
por: Zhang, Yongxia, et al.
Publicado: (2021)

Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma
por: Lee, Si Eun, et al.
Publicado: (2018)

Diagnostic and Prognostic Nomograms for Lung Metastasis in Triple-Negative Breast Cancer
por: Wang, Jianguo, et al.
Publicado: (2022)

Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification
por: Fusco, Roberta, et al.
Publicado: (2021)

Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer
por: Tan, Hongna, et al.
Publicado: (2020)

Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for the Prediction of Neoadjuvant Chemotherapy-Insensitive Breast Cancers
por: Wang, Zhongyi, et al.
Publicado: (2021)

Development and validation of a prognostic nomogram for patients with triple-negative breast cancer with histology of infiltrating duct carcinoma
por: Jing, Na, et al.
Publicado: (2020)

Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm
por: Lin, Fan, et al.
Publicado: (2020)

Radiomics features for assessing tumor-infiltrating lymphocytes correlate with molecular traits of triple-negative breast cancer
por: Su, Guan-Hua, et al.
Publicado: (2022)

Uncovering the molecular subtypes of triple-negative breast cancer with a noninvasive radiomic methodology
por: Su, Guan-Hua, et al.
Publicado: (2022)

Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography
por: Xu, Hanyue, et al.
Publicado: (2021)

Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography
por: Sansone, Mario, et al.
Publicado: (2023)

Nomogram for predicting overall survival in Chinese triple-negative breast cancer patients after surgery
por: Lin, Wei-Xun, et al.
Publicado: (2022)

Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions
por: Fusco, Roberta, et al.
Publicado: (2022)

Predicting Breast Cancer Risk Using Radiomics Features of Mammography Images
por: Suzuki, Yusuke, et al.
Publicado: (2023)

A nomogram prediction for the survival of patients with triple negative breast cancer
por: Lin, Yuxiang, et al.
Publicado: (2018)

Nomogram for Predicting Lymph Node Involvement in Triple-Negative Breast Cancer
por: Cui, Xiang, et al.
Publicado: (2020)

Radiomic Analysis of Contrast-Enhanced Mammography With Different Image Types: Classification of Breast Lesions
por: Wang, Simin, et al.
Publicado: (2021)

Three-dimensional radiomics of triple-negative breast cancer: Prediction of systemic recurrence
por: Koh, Jieun, et al.
Publicado: (2020)

Radiomics in Triple Negative Breast Cancer: New Horizons in an Aggressive Subtype of the Disease
por: Mireștean, Camil Ciprian, et al.
Publicado: (2022)

Triple-negative and HER2-positive breast cancers found by mammography screening show excellent prognosis
por: Alanko, Johanna, et al.
Publicado: (2021)

Establishment and Validation of Prognostic Nomograms Based on Serum Copper Level for Patients With Early-Stage Triple-Negative Breast Cancer
por: Duan, Fangfang, et al.
Publicado: (2021)

Cirrus: An Automated Mammography-Based Measure of Breast Cancer Risk Based on Textural Features
por: Schmidt, Daniel F, et al.
Publicado: (2018)

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)

Multimodality MRI radiomics analysis of TP53 mutations in triple negative breast cancer
por: Sun, Kun, et al.
Publicado: (2023)

Mammography and ultrasound effective features in differentiating basal-like and normal-like subtypes of triple negative breast cancer
por: Zeng, Zeng, et al.
Publicado: (2017)

Identify the triple-negative and non-triple-negative breast cancer by using texture features of medicale ultrasonic image: A STROBE-compliant study
por: Chen, Qingyu, et al.
Publicado: (2021)

Development and validation of a new nomogram to screen for MAFLD
por: Zou, Haoxuan, et al.
Publicado: (2022)

TLR5: A prognostic and monitoring indicator for triple-negative breast cancer
por: Shi, Dai, et al.
Publicado: (2019)

Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [(18)F]FDG PET/CT in Early Triple-Negative Breast Cancer
por: Bouron, Clément, et al.
Publicado: (2022)

Radiomic Analysis in Contrast-Enhanced Spectral Mammography for Predicting Breast Cancer Histological Outcome
por: La Forgia, Daniele, et al.
Publicado: (2020)

Radiomic features of breast parenchyma: assessing differences between FOR PROCESSING and FOR PRESENTATION digital mammography
por: Sansone, Mario, et al.
Publicado: (2021)

Mammography radiomics features at diagnosis and progression-free survival among patients with breast cancer
por: Luo, Chuanxu, et al.
Publicado: (2022)

Development and validation of nomograms predicting survival in Chinese patients with triple negative breast cancer
por: Yang, Yaping, et al.
Publicado: (2019)

Optimized Radiomics Nomogram Based on Automated Breast Ultrasound System: A Potential Tool for Preoperative Prediction of Metastatic Lymph Node Burden in Breast Cancer
por: Li, Ning, et al.
Publicado: (2023)

Could Breast Tomosynthesis With Synthetic View Mammography Aid Standard Two-Dimensional Mammography in Evaluation at Symptomatic Triple Assessment Breast Clinics?
por: O'Brien, Amy C, et al.
Publicado: (2021)

MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer
por: Kim, Sungwon, et al.
Publicado: (2020)

Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors
por: Zhu, Chao, et al.
Publicado: (2021)

Development and validation of nomograms for predicting overall and breast cancer-specific survival among patients with triple-negative breast cancer
por: Guo, Lin-Wei, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_aatdc61b0gtnimrsmpgkvpaghq