Cargando…

Development of a diagnostic model for malignant solitary pulmonary nodules based on radiomics features

BACKGROUND: This study proposed a precise diagnostic model for malignant solitary pulmonary nodules (SPNs). This model can be used to identify objective and quantifiable image features and guide the clinical treatment strategy adopted for SPNs. This model will help clinicians optimize management str...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Wei, Zou, Chenxi, Li, Chunsun, Li, Jie, Wang, Zirui, Chen, Liang’an
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908141/ https://www.ncbi.nlm.nih.gov/pubmed/35280381 http://dx.doi.org/10.21037/atm-22-462

Ejemplares similares

Correlation between PD-L1 expression and radiomic features in early-stage lung adenocarcinomas manifesting as ground-glass nodules
por: Shi, Wenjia, et al.
Publicado: (2022)

Radiomics and Artificial Intelligence Can Predict Malignancy of Solitary Pulmonary Nodules in the Elderly
por: Elia, Stefano, et al.
Publicado: (2023)

Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules
por: Wei, Kaikai, et al.
Publicado: (2016)

The value of radiomics based on dual-energy CT for differentiating benign from malignant solitary pulmonary nodules
por: Liang, Gao, et al.
Publicado: (2022)

Solitary pulmonary nodule: Is positron emission tomography/computed tomography radiomics a valid diagnostic approach?
por: Palumbo, Barbara, et al.
Publicado: (2021)

Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule
por: He, Lan, et al.
Publicado: (2016)

Development and Validation of a Radiomics Nomogram for Differentiating Pulmonary Cryptococcosis and Lung Adenocarcinoma in Solitary Pulmonary Solid Nodule
por: Zhao, Jiabi, et al.
Publicado: (2021)

Diagnostic Performance of Machine Learning Models Based on (18)F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules
por: Salihoğlu, Yavuz Sami, et al.
Publicado: (2022)

Solitary Pulmonary Inflammatory Nodule: CT Features and Pathological Findings
por: Xiao, Yun-Dan, et al.
Publicado: (2021)

Solitary Pulmonary Nodule: A Diagnostic Dilemma
por: Masuta, Pardeep, et al.
Publicado: (2019)

Predicting Tumor Mutation Burden and EGFR Mutation Using Clinical and Radiomic Features in Patients with Malignant Pulmonary Nodules
por: Yin, Wenda, et al.
Publicado: (2022)

Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules
por: Shen, Yao, et al.
Publicado: (2020)

Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
por: Erdogdu, Eren, 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)

Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules
por: Zhang, Junjie, et al.
Publicado: (2023)

Diagnostic Accuracy of CT-Guided Transthoracic Needle Biopsy for Solitary Pulmonary Nodules
por: Yang, Wen, et al.
Publicado: (2015)

Predictive model for the probability of malignancy in solitary pulmonary nodules: a meta-analysis
por: Chen, Gang, et al.
Publicado: (2022)

Solitary pulmonary nodule and the surgeon
por: Dullabh, K J, et al.
Publicado: (2020)

Differential diagnostic value of 64-slice spiral computed tomography in solitary pulmonary nodule
por: Wang, Xiaoming, et al.
Publicado: (2018)

Multivariate Analysis on Development of Lung Adenocarcinoma Lesion from Solitary Pulmonary Nodule
por: Yu, Linxiang, et al.
Publicado: (2022)

Development of a Radiomics Prediction Model for Histological Type Diagnosis in Solitary Pulmonary Nodules: The Combination of CT and FDG PET
por: Yan, Mengmeng, et al.
Publicado: (2020)

Assessment of the cancer risk factors of solitary pulmonary nodules
por: Yang, Li, et al.
Publicado: (2017)

Role of (18)F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners
por: Albano, Domenico, et al.
Publicado: (2021)

Diagnostic value of platelet-to-lymphocyte ratio in patients with solitary pulmonary nodules
por: Kuru, Murat, et al.
Publicado: (2022)

A Solitary Pulmonary Nodule: Pulmonary Amyloidosis
por: Standaert, Chloë, et al.
Publicado: (2018)

Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features
por: Zhang, Rui, et al.
Publicado: (2021)

Solitary pulmonary nodule: detection and management
por: Diederich, S, et al.
Publicado: (2006)

Work-up of the solitary pulmonary nodule
por: Quint, Leslie Eisenbud
Publicado: (2015)

PET/CT and the solitary pulmonary nodule
por: Pinto, Erique Guedes, et al.
Publicado: (2020)

The growth feature and its diagnostic value for benign and malignant pulmonary nodules met in routine clinical practice
por: Zhang, Rui, et al.
Publicado: (2020)

Prediction of malignancy for solitary pulmonary nodules based on imaging, clinical characteristics and tumor marker levels
por: Hou, Hongjun, et al.
Publicado: (2020)

Differentiation of pulmonary sclerosing pneumocytoma from solid malignant pulmonary nodules by radiomic analysis on multiphasic CT
por: Ni, Xiao‐Qiong, et al.
Publicado: (2020)

Contourlet Textual Features: Improving the Diagnosis of Solitary Pulmonary Nodules in Two Dimensional CT Images
por: Wang, Jingjing, et al.
Publicado: (2014)

Immunocyte count combined with CT features for distinguishing pulmonary tuberculoma from malignancy among non-calcified solitary pulmonary solid nodules
por: Liu, Zihao, et al.
Publicado: (2023)

Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface
por: Qiu, Shi, et al.
Publicado: (2020)

Solitary pulmonary nodule: A diagnostic algorithm in the light of current imaging technique
por: Khan, Ali Nawaz, et al.
Publicado: (2011)

Prediction of subsolid pulmonary nodule growth rate using radiomics
por: Ma, Zong Jing, et al.
Publicado: (2023)

Diagnosis of Benign and Malignant Pulmonary Ground-Glass Nodules Using Computed Tomography Radiomics Parameters
por: liang, Ling, et al.
Publicado: (2022)

Pulmonary Actinomycosis Revealed by a Solitary Pulmonary Nodule
por: Khaled, Deghdegh, et al.
Publicado: (2022)

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study
por: Huang, Luyu, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_t7m83p1amsl1mapvriveil3u5q