Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically driven quantitative biomarkers

Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI

(2020) Jiali Zhou et al.   BMC CANCER

Radiomics: from qualitative to quantitative imaging

(2020) William Rogers et al.   BRITISH JOURNAL OF RADIOLOGY

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence

(2020) Marco Caballo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

T2w‐MRI signal normalization affects radiomics features reproducibility

(2020) Elisa Scalco et al.   MEDICAL PHYSICS

Effects of MRI image normalization techniques in prostate cancer radiomics

(2020) Lars J. Isaksson et al.   Physica Medica-European Journal of Medical Physics

Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

(2020) Xueyi Zheng et al.   Nature Communications

Radiomics: A primer for the radiation oncologist

(2020) J.-E. Bibault et al.   Cancer Radiotherapie

Radiomics, tumor volume and blood biomarkers for early prediction of pseudoprogression in metastatic melanoma patients treated with immune checkpoint inhibition

(2020) Lucas Basler et al.   CLINICAL CANCER RESEARCH

Identification of Pancreaticoduodenectomy Resection for Pancreatic Head Adenocarcinoma: A Preliminary Study of Radiomics

(2020) Bei Hui et al.   Computational and Mathematical Methods in Medicine

Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics

(2020) Jooae Choe et al.   EUROPEAN RADIOLOGY

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

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms

(2020) Isaac Shiri et al.   MOLECULAR IMAGING AND BIOLOGY

Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy

(2020) Sang Ho Lee et al.   PHYSICS IN MEDICINE AND BIOLOGY

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

(2020) Mostafa Nazari et al.   Radiologia Medica

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

(2020) Alex Zwanenburg et al.   RADIOLOGY

A decade of radiomics research: are images really data or just patterns in the noise?

(2020) Daniel Pinto dos Santos et al.   EUROPEAN RADIOLOGY

Radiomics in medical imaging—“how-to” guide and critical reflection

(2020) Janita E. van Timmeren et al.   Insights into Imaging

Predictors of Epilepsy Presentation in Unruptured Brain Arteriovenous Malformations: A Quantitative Evaluation of Location and Radiomics Features on T2-Weighted Imaging

(2019) Yupeng Zhang et al.   World Neurosurgery

Gray-level discretization impacts reproducible MRI radiomics texture features

(2019) Loïc Duron et al.   PLoS One

Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology

(2019) Wenting Tu et al.   LUNG CANCER

NCTN Assessment on Current Applications of Radiomics in Oncology

(2019) Ke Nie et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Predicting Response to Cancer Immunotherapy using Non-invasive Radiomic Biomarkers

(2019) S Trebeschi et al.   ANNALS OF ONCOLOGY

Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging

(2019) Tao Wang et al.   EUROPEAN JOURNAL OF RADIOLOGY

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics

(2019) Fanny Orlhac et al.   RADIOLOGY

In defense of the black box

(2019) Elizabeth A. Holm   SCIENCE

From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities

(2019) Parnian Afshar et al.   IEEE SIGNAL PROCESSING MAGAZINE

Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patients

(2019) Sajad P. Shayesteh et al.   Physica Medica-European Journal of Medical Physics

Repeatability and reproducibility of MRI-based radiomic features in cervical cancer

(2019) Sandra Fiset et al.   RADIOTHERAPY AND ONCOLOGY

Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer

(2019) Seung-Hak Lee et al.   CANCER IMAGING

Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma

(2019) Jihye Yun et al.   Scientific Reports

Experimental multicenter and multivendor evaluation of PET radiomic features performance using 3D printed phantom inserts

(2019) Elisabeth Pfaehler et al.   JOURNAL OF NUCLEAR MEDICINE

Radiomics for the prediction of EGFR mutation subtypes in non‐small cell lung cancer

(2019) Shu Li et al.   MEDICAL PHYSICS

Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non–Small Cell Lung Cancer

(2019) Sarah A. Mattonen et al.   RADIOLOGY

Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction

(2019) Zeina A. Shboul et al.   Frontiers in Neuroscience

Intratumor Heterogeneity Assessed by 18F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin Lymphoma

(2019) Kun-Han Lue et al.   ACADEMIC RADIOLOGY

Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage

(2019) Hui Li et al.   CLINICAL NEUROLOGY AND NEUROSURGERY

Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy

(2019) Benjamin W. Wormald et al.   GYNECOLOGIC ONCOLOGY

MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors

(2019) Ankush Bhatia et al.   NEURO-ONCOLOGY

MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features

(2019) Xiaolu Ma et al.   BMC MEDICAL IMAGING

Application of radiomics signature captured from pretreatment thoracic CT to predict brain metastases in stage III/IV ALK-positive non-small cell lung cancer patients

(2019) Xinyan Xu et al.   Journal of Thoracic Disease

Integrating radiomics into clinical trial design

(2019) Jessica J. Waninger et al.   The quarterly journal of nuclear medicine and molecular imaging

Radiomics Approach to Prediction of Occult Mediastinal Lymph Node Metastasis of Lung Adenocarcinoma

(2018) Yan Zhong et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Radiomics-based features for pattern recognition of lung cancer histopathology and metastases

(2018) José Raniery Ferreira Junior et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach

(2018) Hie Bum Suh et al.   EUROPEAN RADIOLOGY

Radiomics in Nuclear Medicine applied to Radiation Therapy: methods, pitfalls and challenges

(2018) Sylvain Reuzé et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Repeatability and reproducibility of radiomic features: A systematic review

(2018) Alberto Traverso et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing

(2018) Ehab A. AlBadawy et al.   MEDICAL PHYSICS

Can we trust the calculation of texture indices of CT images? A phantom study

(2018) Caroline Caramella et al.   MEDICAL PHYSICS

Radiomics in radiooncology – Challenging the medical physicist

(2018) Jan C. Peeken et al.   Physica Medica-European Journal of Medical Physics

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

(2018) Sebastian Sanduleanu et al.   RADIOTHERAPY AND ONCOLOGY

Radiomics for Response and Outcome Assessment for Non-Small Cell Lung Cancer

(2018) Liting Shi et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application—Part 1: From Methodology to Clinical Implementation

(2018) Faiq Shaikh et al.   Journal of the American College of Radiology

Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application—Part 2: From Clinical Implementation to Enterprise

(2018) Faiq Shaikh et al.   Journal of the American College of Radiology

Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features

(2018) Zhenyuan Ning et al.   IEEE Journal of Biomedical and Health Informatics

MRI features predict p53 status in lower-grade gliomas via a machine-learning approach

(2018) Yiming Li et al.   NeuroImage-Clinical

The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review

(2018) Alanna Vial et al.   Translational Cancer Research

Pre-treatment CT radiomics to predict 3-year overall survival following chemoradiotherapy of esophageal cancer

(2018) Ruben T. H. M. Larue et al.   ACTA ONCOLOGICA

Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively

(2018) Tao Chen et al.   EUROPEAN RADIOLOGY

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

(2018) Roger Sun et al.   LANCET ONCOLOGY

Can radiomics personalise immunotherapy?

(2018) Issam El Naqa et al.   LANCET ONCOLOGY

Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features

(2018) Mazen Soufi et al.   MEDICAL PHYSICS

Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients

(2018) Jung Youn Kim et al.   NEURO-ONCOLOGY

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

(2018) Gregory Penzias et al.   PLoS One

Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer

(2018) Constance A. Owens et al.   PLoS One

Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning

(2018) Parita Sanghani et al.   SURGICAL ONCOLOGY-OXFORD

Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer

(2018) Jean-Emmanuel Bibault et al.   Scientific Reports

Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

(2018) Hesham Elhalawani et al.   Frontiers in Oncology

A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI

(2018) Ping Yin et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC

(2018) Tai H. Dou et al.   PLoS One

MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis

(2017) Yiming Li et al.   EUROPEAN RADIOLOGY

Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma

(2017) Marta Bogowicz et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

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

(2017) Mathieu Hatt et al.   MEDICAL PHYSICS

Radiomics: the bridge between medical imaging and personalized medicine

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

Defining the biological basis of radiomic phenotypes in lung cancer

(2017) Patrick Grossmann et al.   eLife

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

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework

(2017) Luke Oakden-Rayner 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

MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection

(2016) Andrew Cameron et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

Imaging biomarker roadmap for cancer studies

(2016) James P. B. O'Connor et al.   Nature Reviews Clinical Oncology

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer

(2016) Elizabeth Huynh et al.   RADIOTHERAPY AND ONCOLOGY

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

Early Change in Metabolic Tumor Heterogeneity during Chemoradiotherapy and Its Prognostic Value for Patients with Locally Advanced Non-Small Cell Lung Cancer

(2016) Xinzhe Dong et al.   PLoS One

Reproducibility of radiomics for deciphering tumor phenotype with imaging

(2016) Binsheng Zhao et al.   Scientific Reports

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

Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer

(2015) Chintan Parmar et al.   Scientific Reports

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

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

Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy

(2014) Yangming Ou et al.   MAGNETIC RESONANCE IN MEDICINE

Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

(2014) David L Raunig et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Radiological evaluation of response to treatment: Application to metastatic renal cancers receiving anti-angiogenic treatment

(2014) S. Ammari et al.   Diagnostic and Interventional Imaging

Shear-Wave Elastographic Features of Breast Cancers

(2013) Su Hyun Lee et al.   INVESTIGATIVE RADIOLOGY

Are Pretreatment 18F-FDG PET Tumor Textural Features in Non-Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?

(2012) G. J. R. Cook et al.   JOURNAL OF NUCLEAR MEDICINE

Radiologic and Pathologic Findings in Breast Tumors with High Signal Intensity on T2-weighted MR Images

(2010) Gorane Santamaría et al.   RADIOGRAPHICS