Cargando…

Radiomics for Identification and Prediction in Metastatic Prostate Cancer: A Review of Studies

Metastatic Prostate Cancer (mPCa) is associated with a poor patient prognosis. mPCa spreads throughout the body, often to bones, with spatial and temporal variations that make the clinical management of the disease difficult. The evolution of the disease leads to spatial heterogeneity that is extrem...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kendrick, Jake, Francis, Roslyn, Hassan, Ghulam Mubashar, Rowshanfarzad, Pejman, Jeraj, Robert, Kasisi, Collin, Rusanov, Branimir, Ebert, Martin
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/PMC8591174/ https://www.ncbi.nlm.nih.gov/pubmed/34790581 http://dx.doi.org/10.3389/fonc.2021.771787

Ejemplares similares

Prospective inter- and intra-tracer repeatability analysis of radiomics features in [(68)Ga]Ga-PSMA-11 and [(18)F]F-PSMA-1007 PET scans in metastatic prostate cancer
por: Kendrick, Jake, et al.
Publicado: (2023)

Quantitative [(68)Ga]Ga-PSMA-11 PET biomarkers for the analysis of lesion-level progression in biochemically recurrent prostate cancer: a multicentre study
por: Kendrick, Jake, et al.
Publicado: (2023)

Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review
por: Rusanov, Branimir, et al.
Publicado: (2022)

Fully automatic prognostic biomarker extraction from metastatic prostate lesion segmentations in whole-body [(68)Ga]Ga-PSMA-11 PET/CT images
por: Kendrick, Jake, et al.
Publicado: (2022)

Prognostic utility of RECIP 1.0 with manual and AI-based segmentations in biochemically recurrent prostate cancer from [(68)Ga]Ga-PSMA-11 PET images
por: Kendrick, Jake, et al.
Publicado: (2023)

Risk of cardiac implantable device malfunction in cancer patients receiving proton therapy: an overview
por: Mirzaei, Milad, et al.
Publicado: (2023)

Focal Boost in Prostate Cancer Radiotherapy: A Review of Planning Studies and Clinical Trials
por: Zhao, Yutong, et al.
Publicado: (2023)

Combination of clinical, radiomic, and “delta” radiomic features in survival prediction of metastatic gastroesophageal adenocarcinoma
por: Krishna, Satheesh, et al.
Publicado: (2023)

Progress towards Patient-Specific, Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview
por: Her, Emily Jungmin, et al.
Publicado: (2020)

Matched linac stereotactic radiotherapy: An assessment of delivery similarity and distributive patient‐specific quality assurance feasibility
por: Goodall, Simon K, et al.
Publicado: (2022)

Dosimetric impact of mechanical movements of the Linac gantry during treatments with small fields
por: McCallum-Hee, Broderick Ivan, et al.
Publicado: (2022)

Editorial: Radiomics in prostate cancer imaging
por: Brunese, Luca, et al.
Publicado: (2022)

MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2022)

VMAT linear accelerator commissioning and quality assurance: dose control and gantry speed tests
por: Barnes, Michael P., et al.
Publicado: (2016)

Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis
por: Chaddad, Ahmad, et al.
Publicado: (2018)

Corrigendum: MRI radiomics predicts progression-free survival in prostate cancer
por: Jia, Yushan, et al.
Publicado: (2023)

Correction factors for commissioning and patient specific quality assurance of stereotactic fields in a Monte Carlo based treatment planning system: TPS correction factors
por: Goodall, Simon K., et al.
Publicado: (2023)

MRI Radiomics in Prostate Cancer: A Reliability Study
por: Urraro, Fabrizio, et al.
Publicado: (2021)

Evaluation of a mobile C‐arm cone‐beam CT in interstitial high‐dose‐rate prostate brachytherapy treatment planning
por: Djukelic, Mario, et al.
Publicado: (2019)

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

Radiomics Based on Multiparametric Magnetic Resonance Imaging to Predict Extraprostatic Extension of Prostate Cancer
por: Xu, Lili, et al.
Publicado: (2020)

Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram
por: Jing, Guodong, et al.
Publicado: (2022)

Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis
por: Bagher-Ebadian, Hassan, et al.
Publicado: (2019)

Impact of backscattered radiation from the bunker structure on EPID dosimetry
por: Rowshanfarzad, Pejman, et al.
Publicado: (2012)

Isocenter verification for linac‐based stereotactic radiation therapy: review of principles and techniques
por: Rowshanfarzad, Pejman, et al.
Publicado: (2011)

Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors
por: Chen, Chaoyue, et al.
Publicado: (2019)

Radiomics of Multiparametric MRI to Predict Biochemical Recurrence of Localized Prostate Cancer After Radiation Therapy
por: Zhong, Qiu-Zi, et al.
Publicado: (2020)

Advanced Imaging of Biochemical Recurrent Prostate Cancer With PET, MRI, and Radiomics
por: Shaikh, Faiq, et al.
Publicado: (2020)

Application Value of Radiomic Nomogram in the Differential Diagnosis of Prostate Cancer and Hyperplasia
por: Gui, Shaogao, et al.
Publicado: (2022)

Evaluation of the Efficiency of MRI-Based Radiomics Classifiers in the Diagnosis of Prostate Lesions
por: Li, Linghao, et al.
Publicado: (2022)

Predicting the Local Response of Metastatic Brain Tumor to Gamma Knife Radiosurgery by Radiomics With a Machine Learning Method
por: Kawahara, Daisuke, et al.
Publicado: (2021)

Identification of SPP1 as an Extracellular Matrix Signature for Metastatic Castration-Resistant Prostate Cancer
por: Pang, Xiaocong, et al.
Publicado: (2019)

Commissioning and performance characteristics of a pre-clinical image-guided radiotherapy system
por: Feddersen, Theresa V., et al.
Publicado: (2019)

Dosimetric evaluation of an intraoperative radiotherapy system: a measurement-based and Monte-Carlo modelling investigation
por: Chin, Marsha, et al.
Publicado: (2023)

Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions
por: Li, Tianping, et al.
Publicado: (2022)

Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer
por: Fan, Xuhui, et al.
Publicado: (2022)

An Exploratory Study on the Stable Radiomics Features of Metastatic Small Pulmonary Nodules in Colorectal Cancer Patients
por: Liu, Caiyin, et al.
Publicado: (2021)

MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer
por: Bourbonne, Vincent, et al.
Publicado: (2019)

Assessing the robustness of radiomics/deep learning approach in the identification of efficacy of anti–PD-1 treatment in advanced or metastatic non-small cell lung carcinoma patients
por: Ren, Qianqian, et al.
Publicado: (2022)

Pilot Study of CT-Based Radiomics Model for Early Evaluation of Response to Immunotherapy in Patients With Metastatic Melanoma
por: Wang, Zhi-long, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_qfqq1c6rni79ln5a3i7up11bub