Cargando…

Comparison of the Gross Target Volumes Based on Diagnostic PET/CT for Primary Esophageal Cancer

BACKGROUND: Clinically, many esophageal cancer patients who planned for radiation therapy have already undergone diagnostic Positron-emission tomography/computed tomography (PET/CT) imaging, but it remains unclear whether these imaging results can be used to delineate the gross target volume (GTV) o...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shi, Jingzhen, Li, Jianbin, Li, Fengxiang, Zhang, Yingjie, Guo, Yanluan, Wang, Wei, Wang, Jinzhi
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/PMC7947883/ https://www.ncbi.nlm.nih.gov/pubmed/33718127 http://dx.doi.org/10.3389/fonc.2021.550100

Ejemplares similares

Inter-Observer and Intra-Observer Variability in Gross Tumor Volume Delineation of Primary Esophageal Carcinomas Based on Different Combinations of Diagnostic Multimodal Images
por: Li, Fengxiang, et al.
Publicado: (2022)

Geometrical Comparison and Quantitative Evaluation of (18)F-FDG PET/CT- and DW-MRI-Based Target Delineation Before and During Radiotherapy for Esophageal Squamous Carcinoma
por: Li, Huimin, et al.
Publicado: (2021)

Comparison of gross target volumes based on four‐dimensional CT, positron emission tomography‐computed tomography, and magnetic resonance imaging in thoracic esophageal cancer
por: Li, Huimin, et al.
Publicado: (2020)

Comparative evaluation of target volumes defined by deformable and rigid registration of diagnostic PET/CT to planning CT in primary esophageal cancer
por: Guo, Yanluan, et al.
Publicado: (2017)

A comparative study of target volumes based on (18)F-FDG PET-CT and ten phases of 4DCT for primary thoracic squamous esophageal cancer
por: Guo, Yanluan, et al.
Publicado: (2017)

Anlotinib Combined With Chemoradiotherapy Exhibits Significant Therapeutic Efficacy in Esophageal Squamous Cell Carcinoma
por: Shi, Jingzhen, et al.
Publicado: (2020)

Corrigendum: Anlotinib Combined With Chemoradiotherapy Exhibits Significant Therapeutic Efficacy in Esophageal Squamous Cell Carcinoma
por: Shi, Jingzhen, et al.
Publicado: (2020)

Comparison of biological target volume metrics based on FDG PET-CT and 4DCT for primary non-small-cell lung cancer
por: Zhang, Yingjie, et al.
Publicado: (2017)

Comparison of planning target volumes based on three-dimensional and four-dimensional CT imaging of thoracic esophageal cancer
por: Wang, Wei, et al.
Publicado: (2016)

Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT
por: Ye, Xianghua, et al.
Publicado: (2022)

The clinical application of 4D (18)F-FDG PET/CT on gross tumor volume delineation for radiotherapy planning in esophageal squamous cell cancer
por: Wang, Yao-Ching, et al.
Publicado: (2012)

Interobserver Variability of Target Volumes Delineated in the Supine and Prone Positions Based on Computed Tomography Images for External-Beam Partial Breast Irradiation After Breast-Conserving Surgery: A Comparative Study
por: Yu, Ting, et al.
Publicado: (2020)

Deep Learning for Automated Contouring of Gross Tumor Volumes in Esophageal Cancer
por: Jin, Linzhi, et al.
Publicado: (2022)

Gross Tumor Volume Definition and Comparative Assessment for Esophageal Squamous Cell Carcinoma From 3D (18)F-FDG PET/CT by Deep Learning-Based Method
por: Yue, Yaoting, et al.
Publicado: (2022)

Evaluation of Lung Tumor Target Volume in a Large Sample: Target and Clinical Factors Influencing the Volume Derived From Four-Dimensional CT and Cone Beam CT
por: Li, Fengxiang, et al.
Publicado: (2022)

Prediction of pathological response grading for esophageal squamous carcinoma after neoadjuvant chemoradiotherapy based on MRI imaging using PDX
por: Shi, Jingzhen, et al.
Publicado: (2023)

Subclinical Lesions of the Primary Clinical Target Volume Margin in Esophageal Squamous Cell Carcinoma and Association With FDG PET/CT
por: Han, Dali, et al.
Publicado: (2019)

Efficacy of FDG-PET for defining gross tumor volume of head and neck cancer
por: Kajitani, Chikae, et al.
Publicado: (2013)

Tumor Stage-Based Gross Tumor Volume of Resectable Esophageal Squamous Cell Carcinoma Measured on CT: Association With Early Recurrence After Esophagectomy
por: Wu, Yu-ping, et al.
Publicado: (2021)

Diagnostic Value of Delayed PET/MR in Liver Metastasis in Comparison With PET/CT
por: Zhou, Nina, et al.
Publicado: (2021)

Diagnostic value of [(68)Ga]Ga-FAPI-04 in patients with colorectal cancer in comparison with [(18)F]F-FDG PET/CT
por: Lin, Xinfeng, et al.
Publicado: (2023)

Prognostic values of the gross volume of metastatic lymph nodes in patients with esophageal squamous cell carcinoma treated with definitive concurrent chemoradiotherapy
por: Li, Yang, et al.
Publicado: (2022)

Role of 18F-FDG PET/CT in patients affected by pulmonary primary lymphoma
por: Peng, Ying, et al.
Publicado: (2022)

Gross Tumor Volume Predicts Survival and Pathological Complete Response of Locally Advanced Esophageal Cancer After Neoadjuvant Chemoradiotherapy
por: Wang, Rong, et al.
Publicado: (2022)

A Novel Nomogram Model Based on Cone-Beam CT Radiomics Analysis Technology for Predicting Radiation Pneumonitis in Esophageal Cancer Patients Undergoing Radiotherapy
por: Du, Feng, et al.
Publicado: (2020)

Impact of hybrid FDG-PET/CT on gross tumor volume definition of cervical esophageal cancer: reducing interobserver variation
por: Toya, Ryo, et al.
Publicado: (2019)

Value of (18)F-FDG PET/MRI in the Preoperative Assessment of Resectable Esophageal Squamous Cell Carcinoma: A Comparison With (18)F-FDG PET/CT, MRI, and Contrast-Enhanced CT
por: Wang, Fei, et al.
Publicado: (2022)

Comparison of internal target volumes defined on 3-dimensional, 4-dimensonal, and cone-beam CT images of non-small-cell lung cancer
por: Li, Fengxiang, et al.
Publicado: (2016)

Analysis of the advantage of individual PTVs defined on axial 3D CT and 4D CT images for liver cancer
por: Li, Fengxiang, et al.
Publicado: (2012)

A comparison study between gross tumor volumes defined by preoperative magnetic resonance imaging, postoperative specimens, and tumor bed for radiotherapy after breast-conserving surgery
por: Zhang, Aiping, et al.
Publicado: (2017)

Comparison of PET/CT and MRI in the Diagnosis of Bone Metastasis in Prostate Cancer Patients: A Network Analysis of Diagnostic Studies
por: Liu, Fanxiao, et al.
Publicado: (2021)

Comparison of endoscopically determined gross tumor volume and metabolic tumor volume in esophageal cancer
por: Lee, Tae Hoon, et al.
Publicado: (2021)

Primary gross tumor volume is prognostic and suggests treatment in upper esophageal cancer
por: Chen, Yuanmei, et al.
Publicado: (2021)

Gross Tumor Delineation in Esophageal Cancer on MRI Compared With (18)F-FDG-PET/CT
por: Vollenbrock, Sophie E., et al.
Publicado: (2019)

Pretherapeutic Assessment of Pancreatic Cancer: Comparison of FDG PET/CT Plus Delayed PET/MR and Contrast-Enhanced CT/MR
por: Zhang, Zaizhu, et al.
Publicado: (2022)

Diagnosis of primary lung cancer and benign pulmonary nodules: a comparison of the breath test and 18F-FDG PET-CT
por: Ding, Xiangxiang, et al.
Publicado: (2023)

Correlation Between Lung Density Changes Under Different Dose Gradients and Radiation Pneumonitis—Based on an Analysis of Computed Tomography Scans During Esophageal Cancer Radiotherapy
por: Du, Feng, et al.
Publicado: (2021)

Corrigendum: Correlation Between Lung Density Changes Under Different Dose Gradients and Radiation Pneumonitis—Based on an Analysis of Computed Tomography Scans During Esophageal Cancer Radiotherapy
por: Du, Feng, et al.
Publicado: (2021)

Comparison of Diagnostic Efficacy of [(68)Ga]Ga-FAPI-04 and [(18)F]FDG PET/CT for Staging and Restaging of Gastric Cancer
por: Zhang, Shumao, et al.
Publicado: (2022)

Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma
por: Cheung, Andy Lai-Yin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ge37kdtbmqblj4n61h9vb0v9mf