Related references
Note: Only part of the references are listed.2-[18F]FDG PET/CT radiomics in lung cancer: An overview of the technical aspect and its emerging role in management of the disease
Reyhaneh Manafi-Farid et al.
METHODS (2021)
Functional imaging using radiomic features in assessment of lymphoma
Marius E. Mayerhoefer et al.
METHODS (2021)
18F-FDG PET Dissemination Features in Diffuse Large B-Cell Lymphoma Are Predictive of Outcome
Anne-Segolene Cottereau et al.
JOURNAL OF NUCLEAR MEDICINE (2020)
Intratumor Heterogeneity Assessed by 18F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin Lymphoma
Kun-Han Lue et al.
ACADEMIC RADIOLOGY (2020)
High total metabolic tumor volume at baseline predicts survival independent of response to therapy
Laetitia Vercellino et al.
BLOOD (2020)
Overview of radiomics in breast cancer diagnosis and prognostication
Alberto Stefano Tagliafico et al.
BREAST (2020)
Dynamic risk assessment based on positron emission tomography scanning in diffuse large B-cell lymphoma: Post-hoc analysis from the PETAL trial
Christine Schmitz et al.
EUROPEAN JOURNAL OF CANCER (2020)
FDG-PET Imaging for Hodgkin and Diffuse Large B-Cell Lymphoma-An Updated Overview
Conrad-Amadeus Voltin et al.
CANCERS (2020)
Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy
Nicolas Aide et al.
EUROPEAN RADIOLOGY (2020)
Development and validation of an 18F-FDG PET radiomic model for prognosis prediction in patients with nasal-type extranodal natural killer/T cell lymphoma
Hongxi Wang et al.
EUROPEAN RADIOLOGY (2020)
Current status and quality of radiomics studies in lymphoma: a systematic review
Hongxi Wang et al.
EUROPEAN RADIOLOGY (2020)
Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform
Isabella Fornacon-Wood et al.
EUROPEAN RADIOLOGY (2020)
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg et al.
RADIOLOGY (2020)
Imaging-Based Prediction of Molecular Therapy Targets in NSCLC by Radiogenomics and AI Approaches: A Systematic Review
Gaia Ninatti et al.
DIAGNOSTICS (2020)
Is It Time to Introduce PET/CT in Rectal Cancer Guidelines?
Anna Margherita Maffione et al.
CLINICAL NUCLEAR MEDICINE (2020)
Genomic pattern of intratumor heterogeneity predicts the risk of progression in early stage diffuse large B-cell lymphoma
Yue Wang et al.
CARCINOGENESIS (2019)
Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden
Sally E. Barrington et al.
JOURNAL OF NUCLEAR MEDICINE (2019)
Prognostic Value of Pretreatment Radiomic Features of 18F-FDG PET in Patients With Hodgkin Lymphoma
Kun-Han Lue et al.
CLINICAL NUCLEAR MEDICINE (2019)
Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma
Marius E. Mayerhoefer et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
Alex Zwanenburg
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Radiomics in esophageal and gastric cancer
Bert-Ram Sah et al.
ABDOMINAL RADIOLOGY (2019)
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy
Francois Lucia et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Prognostic value of baseline metabolic tumor volume and total lesion glycolysis in patients with lymphoma: A meta-analysis
Baoping Guo et al.
PLOS ONE (2019)
Diagnostic and prognostic value of baseline FDG PET/CT skeletal textural features in diffuse large B cell lymphoma
Nicolas Aide et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
18F-FDG PET/CT metabolic tumor parameters and radiomics features in aggressive non-Hodgkin's lymphoma as predictors of treatment outcome and survival
Aatif Parvez et al.
ANNALS OF NUCLEAR MEDICINE (2018)
Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma
Hajira Ilyas et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma
Mathieu Nessim Toledano et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges
Sylvain Reuze et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET
Fanny Orlhac et al.
JOURNAL OF NUCLEAR MEDICINE (2018)
Overview on Clinical Relevance of Intra-Tumor Heterogeneity
Giorgio Stanta et al.
FRONTIERS IN MEDICINE (2018)
18F-FDG PET/CT in Lymphoma: Has Imaging-Directed Personalized Medicine Become a Reality?
Sally F. Barrington et al.
JOURNAL OF NUCLEAR MEDICINE (2017)
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen et al.
CANCER RESEARCH (2017)
The role of tumour heterogeneity and clonal cooperativity in metastasis, immune evasion and clinical outcome
Deborah R. Caswell et al.
BMC MEDICINE (2017)
Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future
Nicholas McGranahan et al.
CELL (2017)
2016 US Lymphoid Malignancy Statistics by World Health Organization Subtypes
Lauren R. Teras et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2016)
Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma
Anne-Segolene Cottereau et al.
CLINICAL CANCER RESEARCH (2016)
Intratumoral Heterogeneity of Pretreatment 18F-FDG PET Images Predict Disease Progression in Patients With Nasal Type Extranodal Natural Killer/T-cell Lymphoma
Kuan-Yin Ko et al.
CLINICAL NUCLEAR MEDICINE (2016)
Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL
N. George Mikhaeel et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Diffuse large B-cell lymphoma (DLBCL): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-upaEuro
H. Tilly et al.
ANNALS OF ONCOLOGY (2015)
Prognostic superiority of the National Comprehensive Cancer Network International Prognostic Index over pretreatment whole-body volumetric-metabolic FDG-PET/CT metrics in diffuse large B-cell lymphoma
Hugo J. A. Adams et al.
EUROPEAN JOURNAL OF HAEMATOLOGY (2015)
Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET
Jianhua Yan et al.
JOURNAL OF NUCLEAR MEDICINE (2015)
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
Ralph T. H. Leijenaar et al.
SCIENTIFIC REPORTS (2015)
The causes and consequences of genetic heterogeneity in cancer evolution
Rebecca A. Burrell et al.
NATURE (2013)
Radiomics: Extracting more information from medical images using advanced feature analysis
Philippe Lambin et al.
EUROPEAN JOURNAL OF CANCER (2012)
Relapsed/Refractory Diffuse Large B-Cell Lymphoma
Jonathan W. Friedberg
HEMATOLOGY-AMERICAN SOCIETY HEMATOLOGY EDUCATION PROGRAM (2011)
Prognostic models for diffuse large B-cell lymphoma in the rituximab era: a never-ending story
A. Bari et al.
ANNALS OF ONCOLOGY (2010)
The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP
Laurie H. Sehn et al.
BLOOD (2007)
Revised response criteria for malignant lymphoma
Bruce D. Cheson et al.
JOURNAL OF CLINICAL ONCOLOGY (2007)
OsiriX: An open-source software for navigating in multidimensional DICOM images
A Rosset et al.
JOURNAL OF DIGITAL IMAGING (2004)