Cargando…

Value of CT Radiomics and Clinical Features in Predicting Bone Metastases in Patients with NSCLC

OBJECTIVE: To explore the CT radiomic features and clinical imaging features of the primary tumor in patients with nonsmall cell lung cancer (NSCLC) before treatment and their predictive value for the occurrence of bone metastases. METHODS: From June 2017 to June 2021, 195 patients with NSCLC who we...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Lu, Yu, Lijuan, Li, Xueyan, Tian, Zhanyu, Lin, Xiuyan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424036/ https://www.ncbi.nlm.nih.gov/pubmed/36051936 http://dx.doi.org/10.1155/2022/7642511

Ejemplares similares

Retracted: Value of CT Radiomics and Clinical Features in Predicting Bone Metastases in Patients with NSCLC
por: Imaging, Contrast Media & Molecular
Publicado: (2023)

Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC
por: Keek, Simon A., et al.
Publicado: (2022)

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC
por: Dou, Tai H., et al.
Publicado: (2018)

Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
por: Digumarthy, Subba R., et al.
Publicado: (2019)

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features
por: Huang, Weicheng, et al.
Publicado: (2022)

Development and validation of a CT radiomics and clinical feature model to predict omental metastases for locally advanced gastric cancer
por: Wu, Ahao, et al.
Publicado: (2023)

Value of CT Radiomics Combined with Clinical Features in the Diagnosis of Allergic Bronchopulmonary Aspergillosis
por: Qian, Xiaojun, et al.
Publicado: (2022)

Potential predictive value of CT radiomics features for treatment response in patients with COVID‐19
por: Huang, Gang, et al.
Publicado: (2023)

Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging
por: Sha, Xue, et al.
Publicado: (2020)

Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters
por: Rinaldi, Lisa, et al.
Publicado: (2022)

Cone‐beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients
por: Qin, Qingjin, et al.
Publicado: (2020)

Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma
por: Liu, Ying, et al.
Publicado: (2023)

Non-invasive decision support for NSCLC treatment using PET/CT radiomics
por: Mu, Wei, et al.
Publicado: (2020)

Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma
por: Khalvati, Farzad, et al.
Publicado: (2019)

PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs
por: Yang, Liping, et al.
Publicado: (2022)

Correction: Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma
por: Liu, Ying, et al.
Publicado: (2023)

Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
por: Bao, Dan, et al.
Publicado: (2021)

Preoperative Prediction Value of Pelvic Lymph Node Metastasis of Endometrial Cancer: Combining of ADC Value and Radiomics Features of the Primary Lesion and Clinical Parameters
por: Bo, Juan, et al.
Publicado: (2022)

Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study
por: Hinzpeter, Ricarda, et al.
Publicado: (2021)

Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma
por: Feng, Lijuan, et al.
Publicado: (2022)

Pretreatment Thoracic CT Radiomic Features to Predict Brain Metastases in Patients With ALK-Rearranged Non-Small Cell Lung Cancer
por: Wang, Hua, et al.
Publicado: (2022)

Early and Complete Response of Bone Metastases, Documented by FDG-PET/CT Scan, in a Patient With NSCLC
por: Rossi, David, et al.
Publicado: (2012)

Feature selection methods and predictive models in CT lung cancer radiomics
por: Ge, Gary, et al.
Publicado: (2022)

Radiomics biopsy signature for predicting survival in patients with spinal bone metastases (SBMs)
por: Sanli, I., et al.
Publicado: (2022)

Radiomics–clinical nomogram based on pretreatment 18F-FDG PET-CT radiomics features for individualized prediction of local failure in nasopharyngeal carcinoma
por: Ding, Jianming, et al.
Publicado: (2023)

A downsampling strategy to assess the predictive value of radiomic features
por: Dirand, Anne-Sophie, et al.
Publicado: (2019)

The road of NSCLC stem cells toward bone metastases
por: Bertolini, Giulia, et al.
Publicado: (2022)

(18)F-FDG PET/CT-based radiomics nomogram could predict bone marrow involvement in pediatric neuroblastoma
por: Feng, Lijuan, et al.
Publicado: (2022)

Feasibility of CT radiomics to predict treatment response of individual liver metastases in esophagogastric cancer patients
por: Klaassen, Remy, et al.
Publicado: (2018)

The application value of CT radiomics features in predicting pressure amplitude correlation index in patients with severe traumatic brain injury
por: Liu, Jiaqi, et al.
Publicado: (2022)

The predictive value of [(18)F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma
por: Gao, Jianxiong, et al.
Publicado: (2023)

Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients—a radiomics nomogram analysis
por: Yang, Xiaoyan, et al.
Publicado: (2021)

CT radiomic features of photodynamic priming in clinical pancreatic adenocarcinoma treatment
por: Vincent, Phuong, et al.
Publicado: (2021)

Radiomics of liver MRI predict metastases in mice
por: Becker, Anton S., et al.
Publicado: (2018)

The role of artificial intelligence based on PET/CT radiomics in NSCLC: Disease management, opportunities, and challenges
por: Hu, Qiuyuan, et al.
Publicado: (2023)

Predicting micropapillary or solid pattern of lung adenocarcinoma with CT-based radiomics, conventional radiographic and clinical features
por: Wang, Zhe, et al.
Publicado: (2023)

Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings
por: Lu, Lin, et al.
Publicado: (2016)

CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases
por: Granata, Vincenza, et al.
Publicado: (2022)

A Combined-Radiomics Approach of CT Images to Predict Response to Anti-PD-1 Immunotherapy in NSCLC: A Retrospective Multicenter Study
por: Wu, Minghao, et al.
Publicado: (2022)

Assessing radiomics feature stability with simulated CT acquisitions
por: Flouris, Kyriakos, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_74vm40gud5ncta57k5f38n42gs