Cargando…

Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma

BACKGROUND: This retrospective study aimed to develop and validate a combined model based [(18)F]FDG PET/CT radiomics and clinical parameters for predicting recurrence in high-risk pediatric neuroblastoma patients. METHODS: Eighty-four high-risk neuroblastoma patients were retrospectively enrolled a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Feng, Lijuan, Qian, Luodan, Yang, Shen, Ren, Qinghua, Zhang, Shuxin, Qin, Hong, Wang, Wei, Wang, Chao, Zhang, Hui, Yang, Jigang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148481/ https://www.ncbi.nlm.nih.gov/pubmed/35643445 http://dx.doi.org/10.1186/s12880-022-00828-z

Ejemplares similares

Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based (18)F-FDG PET/CT Radiomics
por: Feng, Lijuan, et al.
Publicado: (2022)

Prediction of MYCN Amplification, 1p and 11q Aberrations in Pediatric Neuroblastoma via Pre-therapy 18F-FDG PET/CT Radiomics
por: Qian, Luodan, 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)

The Diagnostic Value of (18)F-FDG PET/CT Bone Marrow Uptake Pattern in Detecting Bone Marrow Involvement in Pediatric Neuroblastoma Patients
por: Liu, Jun, et al.
Publicado: (2022)

Evaluation of iodine-123-labeled metaiodobenzylguanidine single-photon emission computed tomography/computed tomography based on the International Society of Pediatric Oncology Europe Neuroblastoma score in children with neuroblastoma
por: Zhou, Ziang, et al.
Publicado: (2023)

The prognostic value of (18)F-FDG PET/CT intra-tumoural metabolic heterogeneity in pretreatment neuroblastoma patients
por: Liu, Jun, et al.
Publicado: (2022)

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)

The baseline metabolism parameters of (18)F‑FDG PET/CT as promising prognostic biomarkers in pediatric Langerhans cell histiocytosis
por: Lu, Xia, et al.
Publicado: (2023)

CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma
por: Chen, Xin, et al.
Publicado: (2021)

(18)F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined model to predict the International Neuroblastoma Pathology Classification
por: Qian, Luo-Dan, et al.
Publicado: (2022)

Predicting MYCN amplification in paediatric neuroblastoma: development and validation of a 18F-FDG PET/CT-based radiomics signature
por: Qian, Luo-Dan, et al.
Publicado: (2023)

Development and Validation of (18)F-FDG PET/CT-Based Multivariable Clinical Prediction Models for the Identification of Malignancy-Associated Hemophagocytic Lymphohistiocytosis
por: Yang, Xu, et al.
Publicado: (2022)

Comparison of Conventional and Radiomic Features between (18)F-FBPA PET/CT and PET/MR
por: Liao, Chien-Yi, et al.
Publicado: (2021)

The Role of Pre-therapeutic (18)F-FDG PET/CT in Pediatric Hemophagocytic Lymphohistiocytosis With Epstein-Barr Virus Infection
por: Lu, Xia, et al.
Publicado: (2022)

Combination of FDG PET/CT Radiomics and Clinical Parameters for Outcome Prediction in Patients with Hodgkin’s Lymphoma
por: Ortega, Claudia, et al.
Publicado: (2023)

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

Contrast-Enhanced CT Parameters of Gastric Adenocarcinoma: Can Radiomic Features Be Surrogate Biomarkers for HER2 Over-Expression Status?
por: Wang, Na, et al.
Publicado: (2020)

Additional Value of PET/CT-Based Radiomics to Metabolic Parameters in Diagnosing Lynch Syndrome and Predicting PD1 Expression in Endometrial Carcinoma
por: Wang, Xinghao, et al.
Publicado: (2021)

Prognostic prediction by (18)F-FDG-PET/CT parameters in patients with neuroblastoma: a systematic review and meta-analysis
por: Hu, Ruimin, et al.
Publicado: (2023)

CT-Based Radiomics for the Recurrence Prediction of Hepatocellular Carcinoma After Surgical Resection
por: Wang, Fang, et al.
Publicado: (2022)

Radiomic Features from Post-Operative (18)F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings
por: Cuicchi, Dajana, et al.
Publicado: (2023)

Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics
por: Li, Jiaru, et al.
Publicado: (2021)

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)

Value of [(18)F]FDG PET/CT radiomic parameters in the context of response to chemotherapy in advanced cervical cancer
por: Burchardt, Ewa, et al.
Publicado: (2023)

Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy
por: Oikonomou, Anastasia, et al.
Publicado: (2018)

Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy
por: Spohn, Simon K. B., et al.
Publicado: (2023)

Diagnostic Value of Conventional PET Parameters and Radiomic Features Extracted from 18F-FDG-PET/CT for Histologic Subtype Classification and Characterization of Lung Neuroendocrine Neoplasms
por: Thuillier, Philippe, et al.
Publicado: (2021)

Impact of contouring variability on oncological PET radiomics features in the lung
por: Yang, F., et al.
Publicado: (2020)

Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma
por: Wang, Haoru, et al.
Publicado: (2023)

The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study
por: Kim, Young Jae, et al.
Publicado: (2019)

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

Radiomics features analysis of PET images in oropharyngeal and hypopharyngeal cancer
por: Liao, Ken Ying-Kai, et al.
Publicado: (2019)

Radiomic assessment of oesophageal adenocarcinoma: a critical review of 18F-FDG PET/CT, PET/MRI and CT
por: O’Shea, Robert J., et al.
Publicado: (2022)

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

Pleomorphic carcinoma of the lung: Prognostic models of semantic, radiomics and combined features from CT and PET/CT in 85 patients
por: Kim, Chohee, et al.
Publicado: (2021)

Radiomic analysis for predicting prognosis of colorectal cancer from preoperative (18)F-FDG PET/CT
por: Lv, Lilang, et al.
Publicado: (2022)

Can (18)F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?
por: Jayaprakasam, Vetri Sudar, et al.
Publicado: (2022)

A Novel Validated Recurrence Stratification System Based on (18)F-FDG PET/CT Radiomics to Guide Surveillance After Resection of Pancreatic Cancer
por: Wei, Miaoyan, et al.
Publicado: (2021)

Ability of (18)F-FDG PET/CT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma
por: Ou, Xuejin, et al.
Publicado: (2019)

Predicting EGFR mutation subtypes in lung adenocarcinoma using (18)F-FDG PET/CT radiomic features
por: Liu, Qiufang, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ukf4aohsbuhorb0i045m9dfbl7