Characterization of PET/CT images using texture analysis: the past, the present… any future?
出版年份 2016 全文链接
标题
Characterization of PET/CT images using texture analysis: the past, the present… any future?
作者
关键词
PET/CT, Image texture, Heterogeneity, Critical review, Recommendations
出版物
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
Volume 44, Issue 1, Pages 151-165
出版商
Springer Nature
发表日期
2016-06-07
DOI
10.1007/s00259-016-3427-0
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Quantification of Intratumoral Metabolic Macroheterogeneity on 18F-FDG PET/CT and Its Prognostic Significance in Pathologic N0 Squamous Cell Lung Carcinoma
- (2016) Do-Hoon Kim et al. CLINICAL NUCLEAR MEDICINE
- Development of a nomogram combining clinical staging with 18F-FDG PET/CT image features in non-small-cell lung cancer stage I–III
- (2016) Marie-Charlotte Desseroit et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Intratumoral heterogeneity of 18F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma
- (2016) Seung Hyup Hyun et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy
- (2016) Pierre Lovinfosse et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection
- (2016) Andrew Cameron et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer
- (2016) P. S. N. van Rossum et al. JOURNAL OF NUCLEAR MEDICINE
- Comparison of Tumor Uptake Heterogeneity Characterization Between Static and Parametric 18F-FDG PET Images in Non-Small Cell Lung Cancer
- (2016) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235
- (2016) N. Ohri et al. JOURNAL OF NUCLEAR MEDICINE
- Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [18F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation
- (2016) Floris H. P. van Velden et al. MOLECULAR IMAGING AND BIOLOGY
- Stage III Non–Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors
- (2016) David V. Fried et al. RADIOLOGY
- Early-Stage Non–Small Cell Lung Cancer: Quantitative Imaging Characteristics of18F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis
- (2016) Jia Wu et al. RADIOLOGY
- Tumor Heterogeneity in Lung Cancer: Assessment with Dynamic Contrast-enhanced MR Imaging
- (2016) Soon Ho Yoon et al. RADIOLOGY
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study
- (2016) Jacob Antunes et al. Translational Oncology
- A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores
- (2016) Tao Wan et al. Scientific Reports
- Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments
- (2016) Arman Rahmim et al. NeuroImage-Clinical
- Positron Emission Tomography: Current Challenges and Opportunities for Technological Advances in Clinical and Preclinical Imaging Systems
- (2015) Juan José Vaquero et al. Annual Review of Biomedical Engineering
- Robust feature selection to predict tumor treatment outcome
- (2015) Hongmei Mi et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Prediction of neoadjuvant radiation chemotherapy response and survival using pretreatment [18F]FDG PET/CT scans in locally advanced rectal cancer
- (2015) Ji-In Bang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Do clinical, histological or immunohistochemical primary tumour characteristics translate into different 18F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?
- (2015) David Groheux et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas
- (2015) Thomas Pyka et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from 18F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer
- (2015) Xuan Gao et al. EUROPEAN JOURNAL OF RADIOLOGY
- The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer
- (2015) Georgia Doumou et al. EUROPEAN RADIOLOGY
- Heterogeneity of18F-FDG PET combined with expression of EGFR may improve the prognostic stratification of advanced oropharyngeal carcinoma
- (2015) Hung-Ming Wang et al. INTERNATIONAL JOURNAL OF CANCER
- A framework for multimodal imaging-based prognostic model building: Preliminary study on multimodal MRI in Glioblastoma Multiforme
- (2015) T. Upadhaya et al. IRBM
- Exploring the use of shape and texture descriptors of positron emission tomography tracer distribution in imaging studies of neurodegenerative disease
- (2015) Ivan S Klyuzhin et al. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Intra-tumour18F-FDG uptake heterogeneity decreases the reliability on target volume definition with positron emission tomography/computed tomography imaging
- (2015) Xinzhe Dong et al. Journal of Medical Imaging and Radiation Oncology
- Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients
- (2015) Manal Nicolasjilwan et al. JOURNAL OF NEURORADIOLOGY
- Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET
- (2015) J. Yan et al. JOURNAL OF NUCLEAR MEDICINE
- ibex: An open infrastructure software platform to facilitate collaborative work in radiomics
- (2015) Lifei Zhang et al. MEDICAL PHYSICS
- Staging of cervical cancer based on tumor heterogeneity characterized by texture features on18F-FDG PET images
- (2015) Wei Mu et al. PHYSICS IN MEDICINE AND BIOLOGY
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
- (2015) M Vallières et al. PHYSICS IN MEDICINE AND BIOLOGY
- Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy
- (2015) Thomas Pyka et al. Radiation Oncology
- Metrology Standards for Quantitative Imaging Biomarkers
- (2015) Daniel C. Sullivan et al. RADIOLOGY
- Non–Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of18F-FDG Uptake at PET—Association with Treatment Response and Prognosis
- (2015) Gary J. R. Cook et al. RADIOLOGY
- Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer
- (2015) Jasmine A. Oliver et al. Translational Oncology
- Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
- (2015) Farzad Khalvati et al. BMC MEDICAL IMAGING
- Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
- (2015) Chintan Parmar et al. Frontiers in Oncology
- False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
- (2015) Anastasia Chalkidou et al. PLoS One
- Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
- (2015) Petros-Pavlos Ypsilantis et al. PLoS One
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
- (2015) Ralph T.H. Leijenaar et al. Scientific Reports
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Texture analysis on 18F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions
- (2014) Rui Xu et al. ANNALS OF NUCLEAR MEDICINE
- Intratumor Textural Heterogeneity on Pretreatment 18F-FDG PET Images Predicts Response and Survival After Chemoradiotherapy for Hypopharyngeal Cancer
- (2014) Jungsu S. Oh et al. ANNALS OF SURGICAL ONCOLOGY
- Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome
- (2014) J. P. B. O'Connor et al. CLINICAL CANCER RESEARCH
- Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer
- (2014) Nai-Ming Cheng et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis
- (2014) F. Orlhac et al. JOURNAL OF NUCLEAR MEDICINE
- 18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort
- (2014) M. Hatt et al. JOURNAL OF NUCLEAR MEDICINE
- Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer
- (2014) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Textural Parameters of Tumor Heterogeneity in 18F-FDG PET/CT for Therapy Response Assessment and Prognosis in Patients with Locally Advanced Rectal Cancer
- (2014) R. A. Bundschuh et al. JOURNAL OF NUCLEAR MEDICINE
- Relationship between Tumor Heterogeneity Measured on FDG-PET/CT and Pathological Prognostic Factors in Invasive Breast Cancer
- (2014) Michael Soussan et al. PLoS One
- Correlation of Intra-Tumor 18F-FDG Uptake Heterogeneity Indices with Perfusion CT Derived Parameters in Colorectal Cancer
- (2014) Florent Tixier et al. PLoS One
- Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features
- (2014) Olivier Gevaert et al. RADIOLOGY
- Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
- (2013) Ralph T. H. Leijenaar et al. ACTA ONCOLOGICA
- The promise and limits of PET texture analysis
- (2013) Nai-Ming Cheng et al. ANNALS OF NUCLEAR MEDICINE
- Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non-Small Cell Lung Cancer
- (2013) T. Win et al. CLINICAL CANCER RESEARCH
- Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer
- (2013) Fei Yang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
- (2013) Mathieu Hatt et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Fractal analysis in radiological and nuclear medicine perfusion imaging: a systematic review
- (2013) Florian Michallek et al. EUROPEAN RADIOLOGY
- The Effect of Small Tumor Volumes on Studies of Intratumoral Heterogeneity of Tracer Uptake
- (2013) F. J. Brooks et al. JOURNAL OF NUCLEAR MEDICINE
- Textural Features of Pretreatment 18F-FDG PET/CT Images: Prognostic Significance in Patients with Advanced T-Stage Oropharyngeal Squamous Cell Carcinoma
- (2013) N.-M. Cheng et al. JOURNAL OF NUCLEAR MEDICINE
- An automatic method for accurate volume delineation of heterogeneous tumors in PET
- (2013) F. Hofheinz et al. MEDICAL PHYSICS
- Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias — An Updated Review
- (2013) Kerry Dwan et al. PLoS One
- FDG uptake heterogeneity in FIGO IIb cervical carcinoma does not predict pelvic lymph node involvement
- (2013) Frank J Brooks et al. Radiation Oncology
- Quantifying tumour heterogeneity with CT
- (2013) Balaji Ganeshan et al. CANCER IMAGING
- Computer-Aided Staging of Lymphoma Patients With FDG PET/CT Imaging Based on Textural Information
- (2013) C. Lartizien et al. IEEE Journal of Biomedical and Health Informatics
- Quantifying heterogeneity in human tumours using MRI and PET
- (2012) Marie-Claude Asselin et al. EUROPEAN JOURNAL OF CANCER
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- The age of reason for FDG PET image-derived indices
- (2012) Dimitris Visvikis et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis
- (2012) Sugama Chicklore et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Reproducibility of Tumor Uptake Heterogeneity Characterization Through Textural Feature Analysis in 18F-FDG PET
- (2012) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Novel spatial analysis method for PET images using 3D moment invariants: Applications to Parkinson's disease
- (2012) Marjorie E. Gonzalez et al. NEUROIMAGE
- Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
- (2012) Marco Gerlinger et al. NEW ENGLAND JOURNAL OF MEDICINE
- Quantification of intra-tumour cell proliferation heterogeneity using imaging descriptors of 18F fluorothymidine-positron emission tomography
- (2012) J M Y Willaime et al. PHYSICS IN MEDICINE AND BIOLOGY
- Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT
- (2011) Tadashi Watabe et al. ANNALS OF NUCLEAR MEDICINE
- DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6
- (2011) J P B O'Connor et al. BRITISH JOURNAL OF CANCER
- Evolving role of molecular imaging with PET in detecting and characterizing heterogeneity of cancer tissue at the primary and metastatic sites, a plausible explanation for failed attempts to cure malignant disorders
- (2011) Sandip Basu et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies
- (2011) Floris H. P. van Velden et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- The international EQUATOR network: enhancing the quality and transparency of health care research
- (2011) Nikolaos Pandis et al. Journal of Applied Oral Science
- Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
- (2011) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Impact of Tumor Size and Tracer Uptake Heterogeneity in 18F-FDG PET and CT Non-Small Cell Lung Cancer Tumor Delineation
- (2011) M. Hatt et al. JOURNAL OF NUCLEAR MEDICINE
- Current measures of metabolic heterogeneity within cervical cancer do not predict disease outcome
- (2011) Frank J Brooks et al. Radiation Oncology
- Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer
- (2011) Manushka Vaidya et al. RADIOTHERAPY AND ONCOLOGY
- Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters
- (2010) Paulina E. Galavis et al. ACTA ONCOLOGICA
- Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications
- (2010) Mathieu Hatt et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Intratumoral Metabolic Heterogeneity of Cervical Cancer
- (2008) E. A. Kidd et al. CLINICAL CANCER RESEARCH
- Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
- (2008) I. El Naqa et al. PATTERN RECOGNITION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started