Radiomics: the process and the challenges

Kumar, Virendra, Gu, Yuhua, Basu, Satrajit, Berglund, Anders, Eschrich, Steven A., Schabath, Matthew B., Forster, Kenneth, Aerts, Hugo J.W.L., Dekker, Andre, Fenstermacher, David, Goldgof, Dmitry B., Hall, Lawrence O., Lambin, Philippe, Balagurunathan, Yoganand, Gatenby, Robert A., Gillies, Robert J.·2012·Magnetic Resonance Imaging

DOI 10.1016/j.mri.2012.06.010

Cited by (1,000)

Items 101–200 of 1,000

A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer
Nasief, Haidy, Zheng, Cheng, Schott, Diane, Hall, William, Tsai, Susan, Erickson, Beth, Allen Li, X. · 2019 · npj Precision Oncology
Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images
Janita E. van Timmeren, Ralph T. H. Leijenaar, Wouter van Elmpt, Bart J.T. Reymen, Cary Oberije, René Monshouwer, Johan Bussink, Carsten Brink, Olfred Hansen, Philippe Lambin · 2017 · Radiotherapy and Oncology
Background, current role, and potential applications of radiogenomics
Katja Pinker, Fuki Shitano, Evis Sala, Richard K. Do, Robert J. Young, Andreas Georg Wibmer, Hedvig Hricak, Elizabeth Jane Sutton, Elizabeth Ann Morris · 2017 · Journal of Magnetic Resonance Imaging
Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer
Jiang, Yuming, Chen, Chuanli, Xie, Jingjing, Wang, Wei, Zha, Xuefan, Lv, Wenbing, Chen, Hao, Hu, Yanfeng, Li, Tuanjie, Yu, Jiang et al. · 2018 · EBioMedicine
Radiomics in Glioblastoma: Current Status and Challenges Facing Clinical Implementation
Ahmad Chaddad, Michael Jonathan Kucharczyk, Paul M Daniel, Siham Sabri, Bertrand J. Jean‐Claude, Tamim Mohammad Niazi, Bassam Abdulkarim · 2019 · Frontiers in Oncology
PET/MRI Radiomics in Patients With Brain Metastases
Philipp Lohmann, Martin Köcher, Maximillian I. Ruge, Veerle E. R. M. Visser-Vandewalle, Nadim Jon Shah, Gereon R. Fink, Karl‐Josef Langen, Norbert Galldiks · 2020 · Frontiers in Neurology
Combining molecular and imaging metrics in cancer: radiogenomics
Roberto Lo Gullo, Isaac Daimiel Naranjo, Elizabeth Ann Morris, Katja Pinker · 2020 · Insights into Imaging
Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival among Patients with Lung Adenocarcinoma
Rahul Paul, Samuel H. Hawkins, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies, Lawrence Hall, Dmitry B. Goldgof · 2016 · Tomography
Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature
Minghui Wu, Hongna Tan, Fei Gao, Jinjin Hai, Peigang Ning, Jian Chen, Shaocheng Zhu, Meiyun Wang, Shewei Dou, Dapeng Shi · 2018 · European Radiology
Early-Stage Non–Small Cell Lung Cancer: Quantitative Imaging Characteristics of18F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis
Jia Wu, Todd Anthony Aguilera, David Benjamin Shultz, Madhu Sudhan Reddy Gudur, Daniel L. Rubin, Billy W. Loo, Maximilian Diehn, Ruijiang Li · 2016 · Radiology
The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer
Cuishan Liang, Yanqi Huang, Xin Chen, Xin Chen, Zelan Ma, Di Dong, Jie Tian, Changhong Liang, Zaiyi Liu · 2016 · Oncotarget
Repeatability and reproducibility of MRI-based radiomic features in cervical cancer
Sandra Fiset, Mattea L. Welch, Jessica Weiss, Melania Pintilie, Jessica L. Conway, Michael Milosevic, Anthony Fyles, Alberto Traverso, David A. Jaffray, Ur Metser et al. · 2019 · Radiotherapy and Oncology
CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer
Yue Wang, Wei Liu, Yu Yang, Jing-juan Liu, Huadan Xue, Yafei Qi, Jing Lei, Jianchun Yu, Zhengyu Jin · 2019 · European Radiology
Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis
Moran Artzi, Idan Bressler, Dafna Ben Bashat · 2019 · Journal of Magnetic Resonance Imaging
Harmonizing the pixel size in retrospective computed tomography radiomics studies
Dennis Mackin, Xenia J. Fave, Lifei Zhang, Jinzhong Yang, Aaron Kyle Jones, Chaan S. Ng, Laurence Edward Court · 2017 · PLoS ONE
Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule
Li Fan, Mengjie Fang, ZhaoBin Li, Wenting Tu, ShengPing Wang, Wufei Chen, Jie Tian, Di Dong, Shiyuan Liu · 2018 · European Radiology
A review of original articles published in the emerging field of radiomics
Jiangdian Song, Yanjie Yin, Hairui Wang, Zhihui Chang, Zhaoyu Liu, Lei Cui · 2020 · European Journal of Radiology
Data Analysis Strategies in Medical Imaging
Chintan Parmar, Joseph D. Barry, Ahmed Hosny, John F Quackenbush, Hugo J.W.L. Aerts · 2018 · Clinical Cancer Research
Harmonization strategies for multicenter radiomics investigations
Ronrick Da‐ano, Dimitris Visvikis, Mathieu Hatt · 2020 · Physics in Medicine and Biology
Predictive radiogenomics modeling of EGFR mutation status in lung cancer
Gevaert, Olivier, Echegaray, Sebastian, Khuong, Amanda, Hoang, Chuong D., Shrager, Joseph B., Jensen, Kirstin C., Berry, Gerald J., Guo, H. Henry, Lau, Charles, Plevritis, Sylvia K. et al. · 2017 · Scientific Reports
Radiomic features analysis in computed tomography images of lung nodule classification
Chia‐Hung Chen, Chih-Kun Chang, Chih‐Yen Tu, Wei‐Chih Liao, Bing-Ru Wu, Kuei-Ting Chou, Yu-Rou Chiou, Shih-Neng Yang, Geoffrey G. Zhang, Tzung-Chi Huang · 2018 · PLoS ONE
Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma
Minjae Kim, So Yeong Jung, Ji Eun Park, Yeongheun Jo, Seo Young Park, Soo Jung Nam, Jeong Hoon Kim, Ho Sung Kim · 2019 · European Radiology
Radiomics and Deep Learning: Hepatic Applications
Hyo Jung Park, Bumwoo Park, Seung Soo Lee · 2020 · Korean Journal of Radiology
Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings
Lin Lü, Ross Ehmke, Lawrence Howard Schwartz, Binsheng Zhao · 2016 · PLoS ONE
Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI
Vishwa S. Parekh, Michael A. Jacobs · 2017 · npj Breast Cancer
Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging
Shuling Chen, Shi‐Ting Feng, Jingwei Wei, Fei Liu, Bin Li, Xin Li, Yang Hou, Dongsheng Gu, Mimi Tang, Han Xiao et al. · 2019 · European Radiology
Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
Ming Fan, Hui Li, Shijian Wang, Bin Zheng, Juan Zhang, Lihua Li · 2017 · PLoS ONE
Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework
Oakden-Rayner, Luke, Carneiro, Gustavo, Bessen, Taryn, Nascimento, Jacinto C., Bradley, Andrew P., Palmer, Lyle J. · 2017 · Scientific Reports
Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC
Tai H. Dou, Thibaud P. Coroller, Joost J. M. van Griethuysen, Raymond H. Mak, Hugo J.W.L. Aerts · 2018 · PLoS ONE
Radiomics Analysis on Ultrasound for Prediction of Biologic Behavior in Breast Invasive Ductal Carcinoma
Yi Guo, Yuzhou Hu, Mengyun Qiao, Yuanyuan Wang, Jinhua Yu, Jiawei Li, Cai Chang · 2017 · Clinical Breast Cancer
Radiographic prediction of meningioma grade by semantic and radiomic features
Thibaud P. Coroller, Wenya Linda Bi, Elizabeth Huynh, Malak Abedalthagafi, Ayal Aaron Aizer, Noah F. Greenwald, Chintan Parmar, Vivek Narayan, Winona W. Wu, Samuel Miranda de Moura et al. · 2017 · PLoS ONE
Radiomics and artificial intelligence in lung cancer screening
Franciszek Binczyk, Wojciech Prazuch, P Bozek, Joanna Polańska · 2021 · Translational Lung Cancer Research
Radiomics in neuro-oncology: Basics, workflow, and applications
Philipp Lohmann, Norbert Galldiks, Martin Köcher, Alexander Heinzel, Christian Filß, Carina Stegmayr, Felix Manuel Mottaghy, Gereon R. Fink, Nadim Jon Shah, Karl‐Josef Langen · 2020 · Methods
Pattern recognition for predictive, preventive, and personalized medicine in cancer
Tingting Cheng, Xianquan Zhan · 2017 · The EPMA Journal
Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
Ceyda Turan Bektaş, Burak Koçak, Aytül Hande Yardımcı, Mehmet Hamza Türkcanoğlu, Uğur Yücetaş, Sevim Baykal Koca, Çağrı Erdim, Özgür Kılıçkesmez · 2018 · European Radiology
Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach
Luca Boldrini, Davide Cusumano, Giuditta Chiloiro, Calogero Casà, Carlotta Masciocchi, Jacopo Lenkowicz, Francesco Cellini, N. Dinapoli, L. Azario, Stefania Teodoli et al. · 2018 · La radiologia medica
Automated detection and segmentation of non-small cell lung cancer computed tomography images
Sergey P. Primakov, Abdalla Ibrahim, Janita E. van Timmeren, Guangyao Wu, Simon Andreas Keek, Manon P. L. Beuque, Renée W. Y. Granzier, Elizaveta Lavrova, Madeleine Scrivener, Sebastian Sanduleanu et al. · 2022 · Nature Communications
Imaging Heterogeneity in Lung Cancer: Techniques, Applications, and Challenges
Usman Bashir, Muhammad Musib Siddique, Emma McLean, Vicky Goh, Gary Cook · 2016 · American Journal of Roentgenology
Imaging biomarkers for evaluating tumor response: RECIST and beyond
Ching‐Chung Ko, Lee‐Ren Yeh, Yu‐Ting Kuo, Jeon‐Hor Chen · 2021 · Biomarker Research
Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features
Wenjuan Ma, Yumei Zhao, Yu Ji, Xinpeng Guo, Xiqi Jian, Peifang Liu, Shandong Wu · 2018 · Academic Radiology
A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer
Menglei Li, Jing Zhang, Yibo Dan, Ye‐Feng Yao, Weixing Dai, Guoxiang Cai, Guang Yang, Tong Tong · 2020 · Journal of Translational Medicine
Role of texture analysis in breast MRI as a cancer biomarker: A review
Rhea Chitalia, Despina Kontos B · 2018 · Journal of Magnetic Resonance Imaging
Is there a causal relationship between genetic changes and radiomics-based image features? an in vivo preclinical experiment with doxycycline inducible gadd34 tumor cells
Panth, Kranthi Marella, Leijenaar, Ralph T.H., Carvalho, Sara, Lieuwes, Natasja G., Yaromina, Ala, Dubois, Ludwig, Lambin, Philippe · 2015 · Radiotherapy and Oncology
Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients
Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li · 2017 · European Journal of Radiology
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor
Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi · 2016 · Scientific Reports
Radiogenomic Analysis of Oncological Data: A Technical Survey
Mariarosaria Incoronato, Marco Aiello, Teresa Infante, Carlo Cavaliere, Anna Grimaldi, Peppino Mirabelli, Serena Monti, Marco Salvatore · 2017 · International Journal of Molecular Sciences
Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study
Rafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz‐España, Estanislao Arana, David Moratal · 2018 · European Radiology
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
Marc Botifoll, Ivan Pinto‐Huguet, Jordi Arbiol · 2022 · Nanoscale Horizons
Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images
Yu-Hua Dean Fang, Chien‐Yu Lin, Meng-Jung Shih, Hung‐Ming Wang, Tsung‐Ying Ho, Chun-Ta Liao, Tzu‐Chen Yen · 2014 · BioMed Research International
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features
Samuel H. Hawkins, John N. Korecki, Yoganand Balagurunathan, Yuhua Gu, Virendra Kumar, Satrajit Basu, Lawrence Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies · 2014 · IEEE Access
Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation
Daesung Kang, Ji Eun Park, Young‐Hoon Kim, Jeong Hoon Kim, Joo Young Oh, Jungyoun Kim, Yi Kyung Kim, Sung Tae Kim, Ho Sung Kim · 2018 · Neuro-Oncology
18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
Fanny Orlhac, Michaël Soussan, Kader Chouahnia, Emmanuel Martinod, Irène Buvat · 2015 · PLoS ONE
A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication
Jingwei Wei, Guoqiang Yang, Xiaohan Hao, Dongsheng Gu, Yan Qin Tan, Xiaochun Wang, Di Dong, Shuaitong Zhang, Le Wang, Hui Zhang et al. · 2018 · European Radiology
Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study
Daniel F. Polan, Samuel L. Brady, Robert A. Kaufman · 2016 · Physics in Medicine and Biology
Radiomics Analysis of Gadoxetic Acid–enhanced MRI for Staging Liver Fibrosis
Hyo Jung Park, Seung Soo Lee, Bumwoo Park, Jessica Yun, Yu Sub Sung, Woo Hyun Shim, Yong Moon Shin, So Yeon Kim, So Jung Lee, Moon-Gyu Lee · 2018 · Radiology
Prostate cancer radiomics and the promise of radiogenomics
Radka S. Stoyanova, Mandeep M. Takhar, Yohann Tschudi, John C. Ford, G.A. Altamirano Solórzano, Nicholas Erho, Yoganand Balagurunathan, Sanoj P. Punnen, Elai Davicioni, Robert J. Gillies et al. · 2016 · Translational Cancer Research
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19
Qingxia Wu, Shuo Wang, Liang Li, Qingxia Wu, Wei Qian, Yahua Hu, Li Li, Xuezhi Zhou, He Ma, Hongjun Li et al. · 2020 · Theranostics
Combining radiomic features with a miRNA classifier may improve prediction of malignant pathology for pancreatic intraductal papillary mucinous neoplasms
Permuth, Jennifer B., the Florida Pancreas Collaborative, Choi, Jung, Balarunathan, Yoganand, Kim, Jongphil, Chen, Dung-Tsa, Chen, Lu, Orcutt, Sonia, Doepker, Matthew P., Gage, Kenneth et al. · 2016 · Oncotarget
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer
Davide Cusumano, N. Dinapoli, Luca Boldrini, Giuditta Chiloiro, Roberto Gatta, Carlotta Masciocchi, Jacopo Lenkowicz, Calogero Casà, Andrea Damiani, L. Azario et al. · 2017 · La radiologia medica
Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer
Jasmine A. Oliver, Mikalai M. Budzevich, Geoffrey G. Zhang, Thomas J. Dilling, Kujtim Latifi, Eduardo G. Moros · 2015 · Translational Oncology
Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS
Weiquan Luo, Qing-xiu Huang, Xiao-wen Huang, Hang-tong Hu, Fu-qiang Zeng, Wei Wang · 2019 · Scientific Reports
Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits
Yuming Jiang, Qingyu Yuan, Wenbing Lv, Sujuan Xi, Weicai Huang, Zepang Sun, Hao Chen, Liying Zhao, Wei Liu, Yanfeng Hu et al. · 2018 · Theranostics
Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic‐Based Model vs. PI‐RADS v2
Tong Chen, Mengjuan Li, Yuefan Gu, Yueyue Zhang, Shuo Yang, Chaogang Wei, Jiangfen Wu, Xin Li, Wenlu Zhao, Junkang Shen · 2018 · Journal of Magnetic Resonance Imaging
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm
Richard S. Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John S. Nemer, Mary Sun, Peter Chang, Michael Z. Liu, Sachin Jambawalikar · 2019 · Journal of Imaging Informatics in Medicine
Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study
Qi Yang, Jingwei Wei, Xiaohan Hao, De-Xing Kong, Xiaoling Yu, Tianan Jiang, Junqing Xi, Wenjia Cai, Yanchun Luo, Xiang Jing et al. · 2020 · EBioMedicine
Radiomics in prostate cancer: an up-to-date review
Matteo Ferro, Ottavio DE COBELLI, Gennaro Musi, Francesco Del Giudice, Giuseppe Carrieri, Gian Maria Busetto, Ugo Giovanni Falagario, Alessandro Sciarra, Martina Maggi, Felice Crocetto et al. · 2022 · Therapeutic Advances in Urology
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome
Hebert Alberto Vargas, Harini Veeraraghavan, Maura Miccò, Stéphanie Nougaret, Yulia Lakhman, Andreas A. Meier, Ramon E. Sosa, Robert A. Soslow, Douglas A. Levine, Britta Weigelt et al. · 2017 · European Radiology
Reproducibility of F18‐FDG PET radiomic features for different cervical tumor segmentation methods, gray‐level discretization, and reconstruction algorithms
Baderaldeen A. Altazi, Geoffrey G. Zhang, Daniel C. Fernandez, Michael E. Montejo, Dylan Hunt, Joan Werner, Matthew C. Biagioli, Eduardo G. Moros · 2017 · Journal of Applied Clinical Medical Physics
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Isaac Shiri, Majid Sorouri, Parham Geramifar, Mostafa Nazari, Mohammad Abdollahi, Yazdan Salimi, Bardia Khosravi, Dariush Askari, Leila Aghaghazvini, Ghasem Hajianfar et al. · 2021 · Computers in Biology and Medicine
Combining precision radiotherapy with molecular targeting and immunomodulatory agents: a guideline by the American Society for Radiation Oncology
Robert Glen Bristow, Brian Michael Alexander, Michael A. Baumann, Scott Victor Bratman, J. Martin Brown, Kevin A. Camphausen, Peter L. Choyke, Deborah E. Citrin, Joseph N. Contessa, Adam Paul Dicker et al. · 2018 · The Lancet Oncology
Repeatability and reproducibility study of radiomic features on a phantom and human cohort
Ashish Kumar Jha, Sneha Mithun, Vinay Jaiswar, Umesh B. Sherkhane, Nilendu C. Purandare, Kumar Prabhash, Venkatesh Rangarajan, Andre L.A.J. Dekker, Leonard Wee, Alberto Traverso · 2021 · Scientific Reports
Decoding Tumor Phenotypes for ALK, ROS1, and RET Fusions in Lung Adenocarcinoma Using a Radiomics Approach
Hyun Jung Yoon, Insuk Sohn, Jong Ho Cho, Ho Yun Lee, Jae‐Hun Kim, Yoon‐La Choi, Hye Seung Kim, Genehee Lee, Kyung Soo Lee, Jhingook Kim · 2015 · Medicine
Understanding Sources of Variation to Improve the Reproducibility of Radiomics
Zhao, Binsheng · 2021 · Frontiers in Oncology
Molecular imaging and radionuclide therapy of pheochromocytoma and paraganglioma in the era of genomic characterization of disease subgroups
David Taïeb, Abhishek Jha, Giorgio Treglia, Karel Pacák · 2019 · Endocrine Related Cancer
Novel Nomogram for Preoperative Prediction of Early Recurrence in Intrahepatic Cholangiocarcinoma
Wenjie Liang, Lei Xu, Pengfei Yang, Lele Zhang, Dalong Wan, Qiang Huang, Tianye Niu, Feng Chen · 2018 · Frontiers in Oncology
High quality machine‐robust image features: Identification in nonsmall cell lung cancer computed tomography images
Luke A. Hunter, Shane Paul Krafft, Francesco C. Stingo, Haesun Choi, Mary K. Martel, Stephen F. Kry, Laurence Edward Court · 2013 · Medical Physics
Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization
Lijun Lu, Wenbing Lv, Jun Jiang, Jianhua Ma, Qianjin Feng, Arman Rahmim, Wufan Chen · 2016 · Molecular Imaging and Biology
Radiomics in head and neck cancer: from exploration to application
Andrew J. Wong, Aasheesh Kanwar, Abdallah Mohamed, Clifton David Fuller · 2016 · Translational Cancer Research
Repeatability of 18F‐ FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method
Elisabeth A. G. Pfaehler, Roelof J. Beukinga, Johan R. de Jong, Riemer H. J. A. Slart, Cornelis Herman Slump, Rudi Dierckx, Ronald Boellaard · 2018 · Medical Physics
Radiomics in radiation oncology—basics, methods, and limitations
Philipp Lohmann, Khaled Bousabarah, Mauritius Hoevels, Harald Treuer · 2020 · Strahlentherapie und Onkologie
Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility
Abhishek Midya, Jayasree Chakraborty, Mithat Gönen, Richard Kinh Gian, Amber L. Simpson · 2018 · Journal of medical imaging
Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn’s Disease
Xuehua Li, Liang Dong, Jixin Meng, Jie Zhou, Chen Zhao, Siyun Huang, Baolan Lu, Yun Qiu, Mark E. Baker, Ziyin Ye et al. · 2021 · Gastroenterology
CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphoma
Zelan Ma, Mengjie Fang, Yanqi Huang, Lan He, Xin Chen, Cuishan Liang, Xiaomei Huang, Zixuan Cheng, Di Dong, Changhong Liang et al. · 2017 · European Journal of Radiology
External stimulus responsive inorganic nanomaterials for cancer theranostics
M. Sheikh Mohamed, Srivani Veeranarayanan, Toru Maekawa, Sakthi Kumar D. · 2018 · Advanced Drug Delivery Reviews
Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer
Jia Liu, Dong Sun, Linli Chen, Fang Zheng, Weixiang Song, Dajing Guo, Tiangen Ni, Chuan Liu, Feng Lin, Yuwei Xia et al. · 2019 · Frontiers in Oncology
Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images
Arman Rahmim, Peng Huang, Nikolay Shenkov, Sima Fotouhi, Esmaeil Davoodi‐Bojd, Lijun Lu, Zoltan K. Mari, Hamid Soltanian-zadeh A, Vesna Sossi · 2017 · NeuroImage Clinical
Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: A simulation study utilizing ground truth
Fei Yang, Nesrin Dogan, Radka S. Stoyanova, John C. Ford · 2018 · Physica Medica
The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features
Elaine Johanna Limkin, Sylvain Reuzé, Alexandre Carré, Roger Sun, Antoine Schernberg, Anthony Alexis, Éric Deutsch, Charles Ferté, Charlotte Robert · 2019 · Scientific Reports
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma
Jihye Yun, Ji Eun Park, Hyunna Lee, Sungwon Ham, Namkug Kim, Ho Sung Kim · 2019 · Scientific Reports
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
Vipin Dalal, Joseph Carmicheal, Amaninder Dhaliwal, Maneesh Jain, Sukhwinder Kaur, Surinder K. Batra · 2019 · Cancer Letters
Deep learning and radiomics: The utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT
Coy, Heidi, Hsieh, Kevin, Wu, Willie, Nagarajan, Mahesh B., Young, Jonathan R., Douek, Michael L., Brown, Matthew S., Scalzo, Fabien, Raman, Steven S. · 2019 · Abdominal Radiology
Imaging Phenotyping Using Radiomics to Predict Micropapillary Pattern within Lung Adenocarcinoma
So Hee Song, Hyunjin Park, Geewon Lee, Ho Yun Lee, Insuk Sohn, Hye Seung Kim, Seung Hak Lee, Ji Yun Jeong, Jhingook Kim, Kyung Soo Lee et al. · 2016 · Journal of Thoracic Oncology
Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis
Shih-Ying Huang, Benjamin Lewis Franc, Roy J. Harnish, Gengbo Liu, Debasis Mitra, Timothy P. Copeland, Vignesh A. Arasu, John Kornak, Ella Fung Jones, Spencer C. Behr et al. · 2018 · npj Breast Cancer
Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review
Seung-Hak Lee, Hyunjin Park, Eun Sook Ko · 2020 · Korean Journal of Radiology
A New Challenge for Radiologists: Radiomics in Breast Cancer
Paola Crivelli, Roberta Eufrasia Ledda, Nicola Parascandolo, Alberto Fara, Daniela Soro, Maurizio Conti · 2018 · BioMed Research International
Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI
Ning Lang, Yang Zhang, Enlong Zhang, Jiahui Zhang, Daniel S. Chow, Peter Chang, Hon J. Yu, Huishu Yuan, Min‐Ying Su · 2019 · Magnetic Resonance Imaging
Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography
Qi Zhang, Yang Xiao, Jingfeng Suo, Jun Shi, Jinhua Yu, Yi Guo, Yuanyuan Wang, Hairong Zheng · 2017 · Ultrasound in Medicine & Biology
Predicting malignant nodules by fusing deep features with classical radiomics features
Rahul Paul, Samuel H. Hawkins, Matthew B. Schabath, Robert J. Gillies, Lawrence Hall, Dmitry B. Goldgof · 2018 · Journal of medical imaging
A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
Pascal Olivier Zinn, Sanjay Kumar Singh, Aikaterini Kotrotsou, Islam S. A. Hassan, Ginu A. Thomas, Markus Martin Luedi, Ahmed Elakkad, Nabil A. Elshafeey, Tagwa Idris, Jennifer C. Mosley et al. · 2018 · Clinical Cancer Research
Quantitative Radiomics: Impact of Pulse Sequence Parameter Selection on MRI-Based Textural Features of the Brain
John C. Ford, Nesrin Dogan, Lori A. Young, Fei Yang · 2018 · Contrast Media & Molecular Imaging