Cargando…

Combined CT radiomics of primary tumor and metastatic lymph nodes improves prediction of loco-regional control in head and neck cancer

Loco-regional control (LRC) is a major clinical endpoint after definitive radiochemotherapy (RCT) of head and neck cancer (HNC). Radiomics has been shown a promising biomarker in cancer research, however closer related to primary tumor control than composite endpoints. Radiomics studies often focus...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bogowicz, Marta, Tanadini-Lang, Stephanie, Guckenberger, Matthias, Riesterer, Oliver
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811564/ https://www.ncbi.nlm.nih.gov/pubmed/31645603 http://dx.doi.org/10.1038/s41598-019-51599-7

Ejemplares similares

Targeting Treatment Resistance in Head and Neck Squamous Cell Carcinoma – Proof of Concept for CT Radiomics-Based Identification of Resistant Sub-Volumes
por: Bogowicz, Marta, et al.
Publicado: (2021)

Transferability of radiomic signatures from experimental to human interstitial lung disease
por: Gabryś, Hubert S., et al.
Publicado: (2022)

Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study
por: Saltybaeva, Natalia, et al.
Publicado: (2022)

PET/CT radiomics for prediction of hyperprogression in metastatic melanoma patients treated with immune checkpoint inhibitors
por: Gabryś, H. S., et al.
Publicado: (2022)

Unconscious physiological response of healthy volunteers to dynamic respiration-synchronized couch motion
por: Jöhl, Alexander, et al.
Publicado: (2017)

Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
por: Leijenaar, Ralph TH, et al.
Publicado: (2018)

Corrigendum to “Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study” [Phys. Imaging Radiat. Oncol. 22 (2022) 131–136]
por: Saltybaeva, Natalia, et al.
Publicado: (2022)

Benchmarking Eliminative Radiomic Feature Selection for Head and Neck Lymph Node Classification
por: Bardosi, Zoltan R., et al.
Publicado: (2022)

Radiomics Feature Activation Maps as a New Tool for Signature Interpretability
por: Vuong, Diem, et al.
Publicado: (2020)

FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients
por: Pavic, M., et al.
Publicado: (2020)

MR-Guided Adaptive Radiotherapy for Head and Neck Cancer: Prospective Evaluation of Migration and Anatomical Changes of the Major Salivary Glands
por: van Timmeren, Janita E., et al.
Publicado: (2021)

Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer
por: Bogowicz, Marta, et al.
Publicado: (2020)

A Novel Radiomics-Based Tumor Volume Segmentation Algorithm for Lung Tumors in FDG-PET/CT after 3D Motion Correction—A Technical Feasibility and Stability Study
por: Bundschuh, Lena, et al.
Publicado: (2022)

Radiomic Analysis to Predict Outcome in Recurrent Glioblastoma Based on Multi-Center MR Imaging From the Prospective DIRECTOR Trial
por: Vils, Alex, et al.
Publicado: (2021)

Potential dosimetric benefits of adaptive tumor tracking over the internal target volume concept for stereotactic body radiation therapy of pancreatic cancer
por: Karava, Konstantina, et al.
Publicado: (2017)

Preselection of robust radiomic features does not improve outcome modelling in non-small cell lung cancer based on clinical routine FDG-PET imaging
por: Oliveira, Carol, et al.
Publicado: (2021)

MRI and PET/CT in the assessment of lymph node metastases in head and neck cancer
por: Zwittag, Paul, et al.
Publicado: (2023)

Radiomic Model Predicts Lymph Node Response to Induction Chemotherapy in Locally Advanced Head and Neck Cancer
por: Zhang, Michael H., et al.
Publicado: (2021)

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)

Head and neck radiotherapy on the MR linac: a multicenter planning challenge amongst MRIdian platform users
por: Chamberlain, Madalyne, et al.
Publicado: (2021)

Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept
por: Martini, K., et al.
Publicado: (2020)

Malignant neuroendocrine tumour of the appendix in childhood with loco-regional lymph node invasion
por: Lyons, Rebecca F, et al.
Publicado: (2015)

Mechanisms of cyst formation in metastatic lymph nodes of head and neck squamous cell carcinoma
por: Mokhtari, Sepideh
Publicado: (2012)

Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients
por: Li, Qian, et al.
Publicado: (2022)

Systematic Review on the Association of Radiomics with Tumor Biological Endpoints
por: La Greca Saint-Esteven, Agustina, et al.
Publicado: (2021)

Changes in human lymphocyte subpopulations in tonsils and regional lymph nodes of human head and neck squamous carcinoma compared to control lymph nodes
por: Vidal-Rubio, Berta, et al.
Publicado: (2001)

CT for estimating adequacy of lymph node dissection in patients with squamous cell carcinoma of the head and neck
por: Rees, Christiaan A., et al.
Publicado: (2021)

Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer
por: Krayenbuehl, J., et al.
Publicado: (2018)

The Regulation of Lymph Node Pre-Metastatic Niche Formation in Head and Neck Squamous Cell Carcinoma
por: Hu, Chen, et al.
Publicado: (2022)

Sentinel lymph-node biopsy in head and neck cancer
por: Höft, S, et al.
Publicado: (2004)

Improved Survival Prediction by Combining Radiological Imaging and S-100B Levels Into a Multivariate Model in Metastatic Melanoma Patients Treated With Immune Checkpoint Inhibition
por: Burgermeister, Simon, et al.
Publicado: (2022)

Correction to: Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer
por: Krayenbuehl, J., et al.
Publicado: (2018)

Synthetic computed tomography for low-field magnetic resonance-only radiotherapy in head-and-neck cancer using residual vision transformers
por: La Greca Saint-Esteven, Agustina, et al.
Publicado: (2023)

The value of CT, MRI, and PET-CT in detecting retropharyngeal lymph node metastasis of head and neck squamous cell carcinoma
por: Kim, Jin Hwan, et al.
Publicado: (2020)

Frequency and Consequences of Cervical Lymph Node Overstaging in Head and Neck Carcinoma
por: Schartinger, Volker Hans, et al.
Publicado: (2022)

Application of Intravoxel Incoherent Motion (IVIM) Model for Differentiation Between Metastatic and Non-Metastatic Head and Neck Lymph Nodes
por: Hejduk, Beata, et al.
Publicado: (2017)

Accuracy of palpation, ultrasonography, and computed tomography in the evaluation of metastatic cervical lymph nodes in head and neck cancer
por: Shetty, Deepthi, et al.
Publicado: (2015)

Optical molecular imaging can differentiate metastatic from benign lymph nodes in head and neck cancer
por: Nishio, Naoki, et al.
Publicado: (2019)

From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics
por: Salahuddin, Zohaib, et al.
Publicado: (2023)

A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients
por: Peeken, Jan C., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_qb3tsnun0p0i276vbkkv8muvf3