Cargando…

Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy

OBJECTIVES: This study aims to establish nomograms to accurately predict the overall survival (OS) and progression-free survival (PFS) in patients with non-small cell lung cancer (NSCLC) who received chemotherapy alone as the first-line treatment. MATERIALS AND METHODS: In a training cohort of 121 N...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chang, Runsheng, Qi, Shouliang, Wu, Yanan, Yue, Yong, Zhang, Xiaoye, Qian, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590525/ https://www.ncbi.nlm.nih.gov/pubmed/37867196 http://dx.doi.org/10.1186/s40644-023-00620-4

Ejemplares similares

Deep radiomic model based on the sphere–shell partition for predicting treatment response to chemotherapy in lung cancer
por: Chang, Runsheng, et al.
Publicado: (2023)

Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images
por: Chang, Runsheng, et al.
Publicado: (2022)

Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images
por: Chang, Runsheng, et al.
Publicado: (2021)

Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?
por: Chang, Runsheng, et al.
Publicado: (2022)

CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma
por: Li, Chao, et al.
Publicado: (2023)

CT-Based Radiomics Nomogram for Prediction of Progression-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma
por: Yan, Chang, et al.
Publicado: (2021)

Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
por: Cui, Yongbin, et al.
Publicado: (2022)

A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy
por: Liu, Qinqin, et al.
Publicado: (2020)

CT radiomics nomogram predicts pathological response after induced chemotherapy and overall survival in patients with advanced laryngeal cancer: A single-center retrospective study
por: Kang, Chunmiao, et al.
Publicado: (2023)

Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery
por: Xiu, Dianhui, et al.
Publicado: (2023)

Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
por: Sun, Wenzheng, et al.
Publicado: (2018)

Construction and Validation of Two Novel Nomograms for Predicting the Overall Survival and Cancer-Specific Survival of NSCLC Patients with Bone Metastasis
por: Dong, Qiu, et al.
Publicado: (2021)

MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma
por: Li, Yang, et al.
Publicado: (2021)

Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer
por: Jain, Prantesh, et al.
Publicado: (2021)

Retracted: Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery
por: Oncology, Journal of
Publicado: (2023)

Development and Validation of a Nomogram Based on (18)F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis
por: Yang, Xu, et al.
Publicado: (2021)

Nomograms to Predict the Disease-free Survival and Overall Survival after Radiofrequency Ablation for Hepatocellular Carcinoma
por: Takuma, Yoshitaka, et al.
Publicado: (2017)

A Novel Nomogram Model to Predict the Recurrence-Free Survival and Overall Survival of Hepatocellular Carcinoma
por: Zhang, Shu-Wen, et al.
Publicado: (2022)

Association of a CT-Based Clinical and Radiomics Score of Non-Small Cell Lung Cancer (NSCLC) with Lymph Node Status and Overall Survival
por: Botta, Francesca, et al.
Publicado: (2020)

Radiomics signature for predicting postoperative disease-free survival of patients with gastric cancer: development and validation of a predictive nomogram
por: Shi, Shuguang, et al.
Publicado: (2022)

Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma
por: Xie, Dong, et al.
Publicado: (2020)

Prognostic nomogram that predicts progression-free survival and overall survival of patients with ovarian clear cell carcinoma
por: Li, Jiayi, et al.
Publicado: (2022)

Risk Score Generated from CT-Based Radiomics Signatures for Overall Survival Prediction in Non-Small Cell Lung Cancer
por: Le, Viet-Huan, et al.
Publicado: (2021)

A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients
por: Lin, Ting, et al.
Publicado: (2021)

Radiomics of rectal cancer for predicting distant metastasis and overall survival
por: Li, Mou, et al.
Publicado: (2020)

Using CT radiomic features based on machine learning models to subtype adrenal adenoma
por: Qi, Shouliang, et al.
Publicado: (2023)

CT radiomic signature predicts survival and chemotherapy benefit in stage I and II HPV-associated oropharyngeal carcinoma
por: Song, Bolin, et al.
Publicado: (2023)

A nomogram to predict overall survival and disease-free survival after curative-intent gastrectomy for gastric cancer
por: Tonello, Alice Sabrina, et al.
Publicado: (2021)

A CT-Based Radiomic Signature Can Be Prognostic for 10-Months Overall Survival in Metastatic Tumors Treated with Nivolumab: An Exploratory Study
por: Corino, Valentina D. A., et al.
Publicado: (2021)

Overall Survival Prediction of Glioma Patients With Multiregional Radiomics
por: Shaheen, Asma, et al.
Publicado: (2022)

CT-radiomics and clinical risk scores for response and overall survival prognostication in TACE HCC patients
por: Bernatz, Simon, et al.
Publicado: (2023)

A novel metabolic gene signature-based nomogram to predict overall survival in breast cancer
por: Sun, Xi, et al.
Publicado: (2021)

Identification of an immune-related risk signature and nomogram predicting the overall survival in patients with endometrial cancer
por: Cheng, Yuan, et al.
Publicado: (2021)

A Potential Four-Gene Signature and Nomogram for Predicting the Overall Survival of Papillary Thyroid Cancer
por: Ding, Ying, et al.
Publicado: (2022)

Necroptosis-Related Prognostic Signature and Nomogram Model for Predicting the Overall Survival of Patients with Lung Cancer
por: Xuan, Yunpeng, et al.
Publicado: (2022)

The impact of previous cancer on overall survival of bladder cancer patients and the establishment of nomogram for overall survival prediction
por: Wang, Zhengquan, et al.
Publicado: (2020)

Prognostic Value of a CT Radiomics-Based Nomogram for the Overall Survival of Patients with Nonmetastatic BCLC Stage C Hepatocellular Carcinoma after Stereotactic Body Radiotherapy
por: Wang, Lihong, et al.
Publicado: (2023)

A novel nomogram to predict the overall survival in esthesinoeroblastoma
por: Jiang, Lijie, et al.
Publicado: (2020)

Nomograms to predict overall survival for patients with endometrial carcinosarcoma
por: Iavazzo, Christos, et al.
Publicado: (2023)

Radiomics Nomogram: Prediction of 2-Year Disease-Free Survival in Young Age Breast Cancer
por: Lee, Jeongmin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_f52sql93dcd6v6ju1vfhhkabgo