Cargando…

Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer

OBJECTIVE: To develop and validate a radiomics nomogram that could incorporate clinicopathological characteristics and ultrasound (US)-based radiomics signature to non-invasively predict Ki-67 expression level in patients with breast cancer (BC) preoperatively. METHODS: A total of 328 breast lesions...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Jinjin, Wang, Xuchao, Hu, Mengshang, Zheng, Yan, Zhu, Lin, Wang, Wei, Hu, Jisu, Zhou, Zhiyong, Dai, Yakang, Dong, Fenglin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421073/ https://www.ncbi.nlm.nih.gov/pubmed/36046035 http://dx.doi.org/10.3389/fonc.2022.963925

Ejemplares similares

Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma
por: Wu, Jiangfeng, et al.
Publicado: (2022)

Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma
por: Wu, Cuiyun, et al.
Publicado: (2022)

CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study
por: Zhao, Yilei, et al.
Publicado: (2021)

Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features
por: Wang, Jing, et al.
Publicado: (2023)

A Nomogram for Preoperatively Predicting the Ki-67 Index of a Pituitary Tumor: A Retrospective Cohort Study
por: Cai, Xiangming, et al.
Publicado: (2021)

CT Radiomics Model for Predicting the Ki-67 Index of Lung Cancer： An Exploratory Study
por: Fu, Qing, et al.
Publicado: (2021)

Deep learning–based radiomic nomograms for predicting Ki67 expression in prostate cancer
por: Deng, Shuitang, et al.
Publicado: (2023)

Intratumoral and peritumoral radiomics model based on abdominal ultrasound for predicting Ki-67 expression in patients with hepatocellular cancer
por: Qian, Hongwei, et al.
Publicado: (2023)

Preoperative prediction of Ki-67 and p53 status in meningioma using a multiparametric MRI-based clinical-radiomic model
por: Moon, Chung-Man, et al.
Publicado: (2023)

Multi-phase-combined CECT radiomics models for Fuhrman grade prediction of clear cell renal cell carcinoma
por: Zhou, Zhiyong, et al.
Publicado: (2023)

Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma
por: Wang, Pingping, et al.
Publicado: (2021)

Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
por: Zhang, Zhi, et al.
Publicado: (2022)

Preoperative Computed Tomography Radiomics Analysis for Predicting Receptors Status and Ki-67 Levels in Breast Cancer
por: Fan, Yuan, et al.
Publicado: (2022)

An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma
por: Zhou, Shi-Chong, et al.
Publicado: (2020)

Preoperative prediction of lymphovascular invasion in patients with T1 breast invasive ductal carcinoma based on radiomics nomogram using grayscale ultrasound
por: Xu, Mao-Lin, et al.
Publicado: (2022)

MRI Based Radiomics Compared With the PI-RADS V2.1 in the Prediction of Clinically Significant Prostate Cancer: Biparametric vs Multiparametric MRI
por: Chen, Tong, et al.
Publicado: (2022)

Clinical and CT Radiomics Nomogram for Preoperative Differentiation of Pulmonary Adenocarcinoma From Tuberculoma in Solitary Solid Nodule
por: Zhuo, Yaoyao, et al.
Publicado: (2021)

A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer
por: Wang, Dawei, et al.
Publicado: (2022)

Development and validation of an ultrasound-based radiomics nomogram for predicting the luminal from non-luminal type in patients with breast carcinoma
por: Wu, Jiangfeng, et al.
Publicado: (2022)

Preoperative Prediction of Microvascular Invasion in Patients With Hepatocellular Carcinoma Based on Radiomics Nomogram Using Contrast-Enhanced Ultrasound
por: Zhang, Di, et al.
Publicado: (2021)

Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics –Based Nomogram
por: Du, Wei, et al.
Publicado: (2021)

Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort
por: Zhang, Qing-Wei, et al.
Publicado: (2020)

Radiomic Nomogram Improves Preoperative T Category Accuracy in Locally Advanced Laryngeal Carcinoma
por: Wang, Fei, et al.
Publicado: (2019)

Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma
por: Chen, Bin, et al.
Publicado: (2019)

A Radiomic Nomogram for the Ultrasound-Based Evaluation of Extrathyroidal Extension in Papillary Thyroid Carcinoma
por: Wang, Xian, et al.
Publicado: (2021)

A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma
por: Gao, Jiahao, et al.
Publicado: (2020)

Radiomics of dynamic contrast-enhanced magnetic resonance imaging parametric maps and apparent diffusion coefficient maps to predict Ki-67 status in breast cancer
por: Feng, Shuqian, et al.
Publicado: (2022)

Nomogram based on MRI for preoperative prediction of Ki-67 expression in patients with intrahepatic mass cholangiocarcinoma
por: Chen, Xiang, et al.
Publicado: (2022)

Development and Validation of a CT-Based Radiomics Nomogram in Patients With Anterior Mediastinal Mass: Individualized Options for Preoperative Patients
por: Zhou, Zhou, et al.
Publicado: (2022)

Contrast enhanced magnetic resonance imaging–based radiomics nomogram for preoperatively predicting expression status of Ki-67 in meningioma: a two-center study
por: Ouyang, Zhi-Qiang, et al.
Publicado: (2023)

Ki-67 and Its Relation With Complete Pathological Response in Patients With Breast Cancer
por: Wajid, Sana, et al.
Publicado: (2021)

Nomogram development and validation to predict Ki-67 expression of hepatocellular carcinoma derived from Gd-EOB-DTPA-enhanced MRI combined with T1 mapping
por: Liu, Ziwei, et al.
Publicado: (2022)

A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma
por: Tong, Yahan, et al.
Publicado: (2022)

Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features
por: Tagliafico, Alberto Stefano, et al.
Publicado: (2019)

An integrated radiomics nomogram based on conventional ultrasound improves discriminability between fibroadenoma and pure mucinous carcinoma in breast
por: Wang, Hui, et al.
Publicado: (2023)

A Multi-Parametric Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion Status in Intrahepatic Cholangiocarcinoma
por: Qian, Xianling, et al.
Publicado: (2022)

Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer
por: Zheng, Zongtai, et al.
Publicado: (2021)

Ki-67 and breast cancer prognosis: does it matter if Ki-67 level is examined using preoperative biopsy or postoperative specimen?
por: Choi, Soon Bo, et al.
Publicado: (2022)

A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas
por: Bi, Lei, et al.
Publicado: (2021)

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)

Cannot write session to /tmp/vufind_sessions/sess_f43m7r2lk86vklr1mcl4g4ticc