Cargando…

Associations of Tumor PD-1 Ligands, Immunohistochemical Studies, and Textural Features in (18)F-FDG PET in Squamous Cell Carcinoma of the Head and Neck

To know tumor PD-L1 expression through IHC or the FDG-PET related radiomics, we investigated the association between programmed cell death protein 1 ligand (PD-L1) expression and immunohistochemical (IHC) biomarkers or textural features of 18F-fluoro-2-deoxdeoxyglucose positron emission tomography (...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Rui-Yun, Lin, Ying-Chun, Shen, Wei-Chih, Hsieh, Te-Chun, Yen, Kuo-Yang, Chen, Shang-Wen, Kao, Chia-Hung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758832/ https://www.ncbi.nlm.nih.gov/pubmed/29311707 http://dx.doi.org/10.1038/s41598-017-18489-2

Ejemplares similares

Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy
por: Chen, Shang-Wen, et al.
Publicado: (2018)

(18)F-FDG PET/CT-based gross tumor volume definition for radiotherapy in head and neck Cancer: a correlation study between suitable uptake value threshold and tumor parameters
por: Kao, Chia-Hung, et al.
Publicado: (2010)

FDG PET or PET/CT in Evaluation of Renal Angiomyolipoma
por: Lin, Chun-Yi, et al.
Publicado: (2013)

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)

Textural features on (18)F-FDG PET/CT and dynamic contrast-enhanced MR imaging for predicting treatment response and survival of patients with hypopharyngeal carcinoma
por: Wong, Chih-Kai, et al.
Publicado: (2019)

Monostotic Fibrous Dysplasia Mimicking Metastasis in the Femoral Neck on Bone Scintigraphy and (18)F-FDG PET/CT
por: Hung, Wei-Liang, et al.
Publicado: (2020)

Radiomic Profiling of Head and Neck Cancer: (18)F-FDG PET Texture Analysis as Predictor of Patient Survival
por: Feliciani, G., et al.
Publicado: (2018)

Voxel based comparison and texture analysis of (18)F-FDG and (18)F-FMISO PET of patients with head-and-neck cancer
por: Kroenke, Markus, et al.
Publicado: (2019)

Predicting pathological complete response in rectal cancer after chemoradiotherapy with a random forest using (18)F-fluorodeoxyglucose positron emission tomography and computed tomography radiomics
por: Shen, Wei-Chih, et al.
Publicado: (2020)

Meta-analysis of the diagnostic performance of [(18)F]FDG-PET and PET/CT in renal cell carcinoma
por: Wang, Hsin-Yi, et al.
Publicado: (2012)

Immunohistochemical biomarkers and volumetric parameters for predicting radiotherapy-based outcomes in patients with p16-negative pharyngeal cancer
por: Chen, Rui-Yun, et al.
Publicado: (2017)

[(18)F]FDG-PET/CT texture analysis in thyroid incidentalomas: preliminary results
por: Sollini, M., et al.
Publicado: (2017)

Texture Analysis of (18)F-FDG PET/CT for Differential Diagnosis Spinal Metastases
por: Fan, Xin, et al.
Publicado: (2021)

Significance of (18) F-FDG PET and immunohistochemical GLUT-1 expression for cardiac myxoma
por: Okazaki, Yukio, et al.
Publicado: (2014)

Diagnostic value of baseline (18)FDG PET/CT skeletal textural features in follicular lymphoma
por: Faudemer, Julie, et al.
Publicado: (2021)

18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy
por: Capelli, Giulia, et al.
Publicado: (2022)

Impact of Aggregation Methods for Texture Features on Their Robustness Performance: Application to Nasopharyngeal (18)F-FDG PET/CT
por: Peng, Lihong, et al.
Publicado: (2023)

Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer
por: Guezennec, Catherine, et al.
Publicado: (2019)

Prediction of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer with Metric Learning Using Pretreatment 18F-Fluorodeoxyglucose Positron Emission Tomography
por: Wu, Kuo-Chen, et al.
Publicado: (2021)

Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT
por: Markel, Daniel, et al.
Publicado: (2013)

Does multiparametric imaging with (18)F-FDG-PET/MRI capture spatial variation in immunohistochemical cancer biomarkers in head and neck squamous cell carcinoma?
por: Rasmussen, Jacob H., et al.
Publicado: (2020)

Prognostic Significance of Metabolic Parameters and Textural Features on (18)F-FDG PET/CT in Invasive Ductal Carcinoma of Breast
por: Chang, Chin-Chuan, et al.
Publicado: (2019)

Impact of combined (18)F-FDG PET/CT in head and neck tumours
por: Syed, R, et al.
Publicado: (2005)

Contribution of (18)F-FDG PET/CT to Staging of Head and Neck Malignancies
por: Ceylan, Yeşim, et al.
Publicado: (2018)

Concomitant pulmonary and thyroid tumors identified by FDG PET/CT and immunohistochemical techniques
por: Zhu, Guangwen, et al.
Publicado: (2011)

Incidental findings on 18-FDG PET–CT in head and neck cancer. A retrospective case-control study of incidental findings on 18-FDG PET–CT in patients with head and neck cancer
por: Casselden, Elizabeth, et al.
Publicado: (2018)

Multiparametric quantitative and texture (18)F-FDG PET/CT analysis for primary malignant tumour grade differentiation
por: Novikov, Mykola
Publicado: (2019)

Clinical Applications of FDG PET and PET/CT in Head and Neck Cancer
por: Al-Ibraheem, Akram, et al.
Publicado: (2009)

Role of (18)F-FDG PET-CT in head and neck squamous cell carcinoma
por: CASTALDI, P., et al.
Publicado: (2013)

The effects of segmentation algorithms on the measurement of (18)F-FDG PET texture parameters in non-small cell lung cancer
por: Bashir, Usman, et al.
Publicado: (2017)

Prognostic Value of Pre-Treatment [18F]FDG PET/CT Texture Analysis in Undifferentiated Soft-Tissue Sarcoma
por: Annovazzi, Alessio, et al.
Publicado: (2022)

Predicting the Recurrence of Gastric Cancer Using the Textural Features of Perigastric Adipose Tissue on [(18)F]FDG PET/CT
por: Ahn, Hyein, et al.
Publicado: (2022)

Predicting Overall Survival with Deep Learning from 18F-FDG PET-CT Images in Patients with Hepatocellular Carcinoma before Liver Transplantation
por: Lai, Yung-Chi, et al.
Publicado: (2023)

PD-L1 in Lung Adenocarcinoma: Insights into the Role of (18)F-FDG PET/CT
por: Cui, Yan, et al.
Publicado: (2020)

Lesion-Based Bone Metastasis Detection in Chest Bone Scintigraphy Images of Prostate Cancer Patients Using Pre-Train, Negative Mining, and Deep Learning
por: Cheng, Da-Chuan, et al.
Publicado: (2021)

Principal component analysis of texture features derived from FDG PET images of melanoma lesions
por: Anne-Leen, DeLeu, et al.
Publicado: (2022)

FDG-PET/CT pitfalls in oncological head and neck imaging
por: Purohit, Bela S., et al.
Publicado: (2014)

Detection and quantification of focal uptake in head and neck tumours: (18)F-FDG PET/MR versus PET/CT
por: Varoquaux, Arthur, et al.
Publicado: (2013)

Diagnostic Accuracy and Confidence of [18F] FDG PET/MRI in comparison with PET or MRI alone in Head and Neck Cancer
por: Park, Jisang, et al.
Publicado: (2020)

Diagnostic classification of solitary pulmonary nodules using dual time (18)F-FDG PET/CT image texture features in granuloma-endemic regions
por: Chen, Song, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_vu6fpuivivastkgtcmgkla4383