Cargando…

Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions

PURPOSE: To develop and validate a radiomics nomogram for identifying sub-1 cm benign and malignant thyroid lesions. METHOD: A total of 171 eligible patients with sub-1 cm thyroid lesions (56 benign and 115 malignant) who were treated in Yantai Yuhuangding Hospital between January and September 2019...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Xinxin, Li, Jingjing, Mou, Yakui, Yao, Yao, Cui, Jingjing, Mao, Ning, Song, Xicheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215667/ https://www.ncbi.nlm.nih.gov/pubmed/34164333 http://dx.doi.org/10.3389/fonc.2021.580886

Ejemplares similares

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 Model for Predicting TP53 Status Using CT and Machine Learning Approach in Laryngeal Squamous Cell Carcinoma
por: Tian, Ruxian, et al.
Publicado: (2022)

Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter Study
por: Yu, Pengyi, et al.
Publicado: (2022)

A Radiomics Nomogram for Distinguishing Benign From Malignant Round-Like Breast Tumors
por: Wang, Lanyun, et al.
Publicado: (2022)

Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study
por: Li, Jingjing, et al.
Publicado: (2021)

A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions
por: Liang, 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)

Radiomics Analysis of Computed Tomography for Prediction of Thyroid Capsule Invasion in Papillary Thyroid Carcinoma: A Multi-Classifier and Two-Center Study
por: Wu, Xinxin, et al.
Publicado: (2022)

An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses
por: Li, Chunxiang, et al.
Publicado: (2022)

Clinical features combined with ultrasound-based radiomics nomogram for discrimination between benign and malignant lesions in ultrasound suspected supraclavicular lymphadenectasis
por: Luo, Jieli, et al.
Publicado: (2023)

Value of Whole-Thyroid CT-Based Radiomics in Predicting Benign and Malignant Thyroid Nodules
por: Xu, Han, et al.
Publicado: (2022)

Corrigendum: An ultrasonic-based radiomics nomogram for distinguishing between benign and malignant solid renal masses
por: Li, Chunxiang, et al.
Publicado: (2023)

A CT-based radiomics nomogram for differentiation of benign and malignant small renal masses (≤4 cm)
por: Feng, Shengxing, et al.
Publicado: (2023)

Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram
por: Qi, Jinbo, et al.
Publicado: (2022)

Development and Validation of a Preoperative Nomogram for Predicting Benign and Malignant Gallbladder Polypoid Lesions
por: Han, Shuai, et al.
Publicado: (2022)

An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions
por: Zhang, Renzhi, et al.
Publicado: (2022)

A comprehensive nomogram combining CT-based radiomics with clinical features for differentiation of benign and malignant lung subcentimeter solid nodules
por: Chen, Chengyu, et al.
Publicado: (2023)

Three-dimensional ultrasound-based radiomics nomogram for the prediction of extrathyroidal extension features in papillary thyroid cancer
por: Lu, Wen-Jie, et al.
Publicado: (2023)

Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors
por: Yin, Ping, et al.
Publicado: (2020)

An Approach Based on Mammographic Imaging and Radiomics for Distinguishing Male Benign and Malignant Lesions: A Preliminary Study
por: Huang, Yan, et al.
Publicado: (2021)

A clinical-radiomics nomogram based on multimodal ultrasound for predicting the malignancy risk in solid hypoechoic breast lesions
por: Shiyan, Guo, et al.
Publicado: (2023)

Diagnosis of benign and malignant thyroid nodules by a dual-layer spectral detector CT-based nomogram
por: Yi, Rongqi, et al.
Publicado: (2023)

Identification of pulmonary adenocarcinoma and benign lesions in isolated solid lung nodules based on a nomogram of intranodal and perinodal CT radiomic features
por: Yi, Li, et al.
Publicado: (2022)

Radiomics Nomograms Based on Multi-Parametric MRI for Preoperative Differential Diagnosis of Malignant and Benign Sinonasal Tumors: A Two-Centre Study
por: Bi, Shu-cheng, et al.
Publicado: (2021)

Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors
por: Yu, Qiang, et al.
Publicado: (2022)

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

Nomogram Combining Radiomics With the American College of Radiology Thyroid Imaging Reporting and Data System Can Improve Predictive Performance for Malignant Thyroid Nodules
por: Huang, Xingzhi, et al.
Publicado: (2021)

Ultrasound radiomics model-based nomogram for predicting the risk Stratification of gastrointestinal stromal tumors
por: Zhuo, Minling, et al.
Publicado: (2022)

Radiomics Nomogram for Prediction of Peritoneal Metastasis in Patients With Gastric Cancer
por: Huang, Weicai, et al.
Publicado: (2020)

A radiomics nomogram for predicting postoperative recurrence in esophageal squamous cell carcinoma
por: Tong, Yahan, et al.
Publicado: (2023)

Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: From static images to CEUS video analysis
por: Zhu, Jun-Yan, et al.
Publicado: (2022)

Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer
por: Yue, Xiaoning, et al.
Publicado: (2023)

Deep Learning for Differentiating Benign From Malignant Parotid Lesions on MR Images
por: Xia, Xianwu, et al.
Publicado: (2021)

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)

Nomogram combining clinical and radiological characteristics for predicting the malignant probability of solitary pulmonary nodules measuring ≤ 2 cm
por: Xue, Mengchao, et al.
Publicado: (2023)

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

The Role of Preoperative Computed Tomography Radiomics in Distinguishing Benign and Malignant Tumors of the Parotid Gland
por: Xu, Yuyun, et al.
Publicado: (2021)

MRI-Based Radiomics to Differentiate between Benign and Malignant Parotid Tumors With External Validation
por: Piludu, Francesca, et al.
Publicado: (2021)

A nomogram combining thoracic CT and tumor markers to predict the malignant grade of pulmonary nodules ≤3 cm in diameter
por: Qiu, Jianhao, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_log8sovlnjpovr2unp6lt0uqmm