Joint EANM/SNMMI guideline on radiomics in nuclear medicine

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

(2022) Dimitris Visvikis et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features

(2022) Jakoba J. Eertink et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

An EANM position paper on the application of artificial intelligence in nuclear medicine

(2022) Roland Hustinx et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

(2021) Davide Chicco et al.   BioData Mining

A Systematic Review of PET Textural Analysis and Radiomics in Cancer

(2021) Manuel Piñeiro-Fiel et al.   Diagnostics

Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting

(2021) Andrei Iantsen et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation

(2021) Marta Ferreira et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT

(2021) Riemer H. J. A. Slart et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

The T.R.U.E. checklist for identifying impactful AI-based findings in nuclear medicine: is it True? Is it Reproducible? Is it Useful? Is it Explainable?

(2021) Irene Buvat et al.   JOURNAL OF NUCLEAR MEDICINE

Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer

(2021) Shima Sepehri et al.   Diagnostics

A guide to ComBat harmonization of imaging biomarkers in multicenter studies

(2021) Fanny Orlhac et al.   JOURNAL OF NUCLEAR MEDICINE

A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets

(2021) Ronrick Da-ano et al.   PLoS One

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

(2021) Shruti Atul Mali et al.   Journal of Personalized Medicine

Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images

(2021) S. Sellami et al.   ACTA ONCOLOGICA

Evaluation of conventional and deep learning based image harmonization methods in radiomics studies

(2021) F Tixier et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep-Learning Radiomics for Discrimination Conversion of Alzheimer's Disease in Patients With Mild Cognitive Impairment: A Study Based on 18F-FDG PET Imaging

(2021) Ping Zhou et al.   Frontiers in Aging Neuroscience

Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review

(2021) Cindy Xue et al.   Quantitative Imaging in Medicine and Surgery

Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods

(2021) Abhinav K. Jha et al.   PET Clinics

Radiomics in PET Imaging

(2021) Fanny Orlhac et al.   PET Clinics

Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging

(2021) Fereshteh Yousefirizi et al.   PET Clinics

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

(2021) Valentin Oreiller et al.   MEDICAL IMAGE ANALYSIS

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century

(2020) Issam El Naqa et al.   BRITISH JOURNAL OF RADIOLOGY

Effect of machine learning re-sampling techniques for imbalanced datasets in 18F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients

(2020) Chenyi Xie et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform

(2020) Isabella Fornacon-Wood et al.   EUROPEAN RADIOLOGY

Machine and deep learning methods for radiomics

(2020) Michele Avanzo et al.   MEDICAL PHYSICS

A physics-guided modular deep-learning based automated framework for tumor segmentation in PET

(2020) Kevin H Leung et al.   PHYSICS IN MEDICINE AND BIOLOGY

Normalization of multicenter CT radiomics by a generative adversarial network method

(2020) Yajun Li et al.   PHYSICS IN MEDICINE AND BIOLOGY

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

(2020) Alex Zwanenburg et al.   RADIOLOGY

A review on medical image denoising algorithms

(2020) Sameera V. Mohd Sagheer et al.   Biomedical Signal Processing and Control

Current status of Radiomics for cancer management: Challenges versus opportunities for clinical practice

(2020) Hua Li et al.   Journal of Applied Clinical Medical Physics

Visualizing the effects of predictor variables in black box supervised learning models

(2020) Daniel W. Apley et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Harmonization strategies for multicenter radiomics investigations

(2020) Ronrick Da-ano et al.   PHYSICS IN MEDICINE AND BIOLOGY

Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies

(2020) R. Da-ano et al.   Scientific Reports

Is FDG-PET texture analysis related to intratumor biological heterogeneity in lung cancer?

(2020) Manuel Piñeiro-Fiel et al.   EUROPEAN RADIOLOGY

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas

(2020) L. Tian et al.   CLINICAL RADIOLOGY

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions

(2020) Mathieu Hatt et al.   SEMINARS IN NUCLEAR MEDICINE

Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?

(2020) Olena Tankyevych et al.   METHODS

Unmasking Clever Hans predictors and assessing what machines really learn

(2019) Sebastian Lapuschkin et al.   Nature Communications

Measurement of 18F-FDG PET tumor heterogeneity improves early assessment of response to bevacizumab compared with the standard size and uptake metrics in a colorectal cancer model

(2019) Usman Bashir et al.   NUCLEAR MEDICINE COMMUNICATIONS

Preoperative Differentiation of Uterine Sarcoma from Leiomyoma: Comparison of Three Models Based on Different Segmentation Volumes Using Radiomics

(2019) Huihui Xie et al.   MOLECULAR IMAGING AND BIOLOGY

Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

(2019) Dimitris Visvikis et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics

(2019) Martina Sollini et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

(2019) Alex Zwanenburg   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

(2019) Ji Eun Park et al.   EUROPEAN RADIOLOGY

Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

(2019) Jooae Choe et al.   RADIOLOGY

Multicentric validation of radiomics findings: challenges and opportunities

(2019) Mathieu Hatt et al.   EBioMedicine

Pre-treatment 18F-FDG PET/CT Radiomics predict local recurrence in patients treated with stereotactic radiotherapy for early-stage non-small cell lung cancer: a multicentric study

(2019) Gurvan Dissaux et al.   JOURNAL OF NUCLEAR MEDICINE

Calibration: the Achilles heel of predictive analytics

(2019) Ben Van Calster et al.   BMC Medicine

Factual and Counterfactual Explanations for Black Box Decision Making

(2019) Riccardo Guidotti et al.   IEEE INTELLIGENT SYSTEMS

18F-FDG PET/CT Uptake Classification in Lymphoma and Lung Cancer by Using Deep Convolutional Neural Networks

(2019) Ludovic Sibille et al.   RADIOLOGY

SUV variability in EARL-accredited conventional and digital PET

(2019) Daniëlle Koopman et al.   EJNMMI Research

LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity

(2018) Christophe Nioche et al.   CANCER RESEARCH

Data Analysis Strategies in Medical Imaging

(2018) Chintan Parmar et al.   CLINICAL CANCER RESEARCH

Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT

(2018) Wenbing Lv et al.   EUROPEAN RADIOLOGY

Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors

(2018) Guoqing Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Challenges and Promises of PET Radiomics

(2018) Gary J.R. Cook et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

A post-reconstruction harmonization method for multicenter radiomic studies in PET

(2018) Fanny Orlhac et al.   JOURNAL OF NUCLEAR MEDICINE

The first MICCAI challenge on PET tumor segmentation

(2018) Mathieu Hatt et al.   MEDICAL IMAGE ANALYSIS

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

(2018) Timo M. Deist et al.   MEDICAL PHYSICS

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research

(2018) Aditya P. Apte et al.   MEDICAL PHYSICS

The preregistration revolution

(2018) Brian A. Nosek et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score

(2018) Sebastian Sanduleanu et al.   RADIOTHERAPY AND ONCOLOGY

Why validation of prognostic models matters?

(2018) Alex Zwanenburg et al.   RADIOTHERAPY AND ONCOLOGY

Voxel size and gray level normalization of CT radiomic features in lung cancer

(2018) Muhammad Shafiq-ul-Hassan et al.   Scientific Reports

External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy

(2018) François Lucia et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

(2018) Li Liu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Repeatability of 18 F-FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method

(2018) Elisabeth Pfaehler et al.   MEDICAL PHYSICS

Vulnerabilities of radiomic signature development: The need for safeguards

(2018) Mattea L. Welch et al.   RADIOTHERAPY AND ONCOLOGY

MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics

(2018) Michael Götz et al.   RADIOTHERAPY AND ONCOLOGY

An insight into the EANM technologist committee benchmark document on nuclear medicine technologists’ competencies

(2017) Pedro Fragoso Costa et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method

(2017) Mathieu Hatt et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Impact of partial-volume correction in oncological PET studies: a systematic review and meta-analysis

(2017) Matthijs C. F. Cysouw et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies

(2017) Isaac Shiri et al.   EUROPEAN RADIOLOGY

Responsible Radiomics Research for Faster Clinical Translation

(2017) Martin Vallières et al.   JOURNAL OF NUCLEAR MEDICINE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211

(2017) Mathieu Hatt et al.   MEDICAL PHYSICS

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

(2017) Muhammad Shafiq-ul-Hassan et al.   MEDICAL PHYSICS

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

(2017) Natalia Antropova et al.   MEDICAL PHYSICS

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Post-radiochemotherapy PET radiomics in head and neck cancer – The influence of radiomics implementation on the reproducibility of local control tumor models

(2017) Marta Bogowicz et al.   RADIOTHERAPY AND ONCOLOGY

Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images

(2017) Arman Rahmim et al.   NeuroImage-Clinical

Harmonizing the pixel size in retrospective computed tomography radiomics studies

(2017) Dennis Mackin et al.   PLoS One

Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer

(2017) Xenia Fave et al.   Scientific Reports

A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling

(2017) Stefan Leger et al.   Scientific Reports

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

Characterization of PET/CT images using texture analysis: the past, the present… any future?

(2016) Mathieu Hatt et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

(2016) Pol Cirujeda et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study

(2016) Jia Wu et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

A calibration hierarchy for risk models was defined: from utopia to empirical data

(2016) Ben Van Calster et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Radiomics in PET/CT: More Than Meets the Eye?

(2016) Mathieu Hatt 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

Applications and limitations of radiomics

(2016) Stephen S F Yip et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Pre- and per-treatment 18F-FDG PET/CT parameters to predict recurrence and survival in cervical cancer

(2016) Julie Leseur et al.   RADIOTHERAPY AND ONCOLOGY

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor

(2016) Prateek Prasanna et al.   Scientific Reports

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Tests of calibration and goodness-of-fit in the survival setting

(2015) Olga V. Demler et al.   STATISTICS IN MEDICINE

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

(2015) G. S. Collins et al.   BMJ-British Medical Journal

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

(2015) G. S. Collins et al.   BMJ-British Medical Journal

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

18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer

(2015) Fanny Orlhac 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

Systematic analysis of 18F-FDG PET and metabolism, proliferation and hypoxia markers for classification of head and neck tumors

(2014) Bianca AW Hoeben et al.   BMC CANCER

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

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

Quantitative SPECT/CT: SPECT joins PET as a quantitative imaging modality

(2013) Dale L. Bailey et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology

(2012) Kjell Erlandsson et al.   PHYSICS IN MEDICINE AND BIOLOGY

On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data

(2011) Hajime Uno et al.   STATISTICS IN MEDICINE

Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters

(2010) Paulina E. Galavis et al.   ACTA ONCOLOGICA

The biology underlying molecular imaging in oncology: from genome to anatome and back again

(2010) R.J. Gillies et al.   CLINICAL RADIOLOGY

Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers

(2008) Andrew J Vickers et al.   BMC Medical Informatics and Decision Making

Exploring feature-based approaches in PET images for predicting cancer treatment outcomes

(2008) I. El Naqa et al.   PATTERN RECOGNITION