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Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine

Sanjay Saxena, Biswajit Jena, Neha Gupta, Suchismita Das, Deepaneeta Sarmah, Pallab Bhattacharya, Tanmay Nath, Sudip Paul, Mostafa M. Fouda, Manudeep Kalra, Luca Saba, Gyan Pareek (+1 others)
2022 Cancers  
It has recently shown tremendous achievements in prognosis, treatment planning, survival prediction, heterogeneity analysis, reoccurrence, and progression-free survival for human cancer study.  ...  Radiogenomics syndicates large-scale quantifiable data extracted from radiological medical images enveloped with personalized genomic phenotypes.  ...  A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma. Hepatology 2015, 62, 792-800. [CrossRef] [PubMed]  ... 
doi:10.3390/cancers14122860 pmid:35740526 pmcid:PMC9220825 fatcat:m3kkxsro4fgetacug7cirkztsq

Radiogenomics in brain, breast, and lung cancer: opportunities and challenges

Apurva Singh, Rhea Chitalia, Despina Kontos
2021 Journal of Medical Imaging  
care for cancer patients.  ...  The second section includes studies that aim to non-invasively predict molecular subtypes of tumors using radiomic signatures.  ...  activity of clinically relevant gene pathways derived from RNA sequencing of invasive breast cancers Tumors with higher expression levels of JAK/STAT and VEGF pathways had more intratumor heterogeneity  ... 
doi:10.1117/1.jmi.8.3.031907 pmid:34164563 pmcid:PMC8212946 fatcat:3gl6s33tr5dk3lgo7ymjcb5nqa

Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)

Eleftherios Trivizakis, Georgios Papadakis, Ioannis Souglakos, Nikolaos Papanikolaou, Lefteris Koumakis, Demetrios Spandidos, Aristidis Tsatsakis, Apostolos Karantanas, Kostas Marias
2020 International Journal of Oncology  
The main deep learning radiogenomics architectures, together with the clinical questions addressed, and the achieved genetic or molecular correlations are presented, while a performance comparison of the  ...  The aim of the current review was to elucidate recent advances in radiogenomics research, focusing on deep learning with emphasis on radiology and oncology applications.  ...  Technologies in the Preservation of Cultural Heritage and the Tackling of Societal Challenges').  ... 
doi:10.3892/ijo.2020.5063 pmid:32467997 pmcid:PMC7252460 fatcat:dwgljcnhfzhllbfmb2p4ujtb3e

Special Section Guest Editorial: Radiogenomics in Prognosis and Treatment

Karen Drukker, Despina Kontos, Hui Li
2021 Journal of Medical Imaging  
The editorial introduces the Special Section on Radiogenomics in Prognosis and Treatment for Volume 8 Issue 3 of the Journal of Medical Imaging.  ...  ., "Radiogenomics in brain, breast, and lung cancer: opportunities and challenges," highlights the current state of the art and the role of radiogenomics in cancer research.  ...  Her current research interests focus on investigating the role of quantitative imaging as a predictive biomarker for guiding personalized clinical decisions in cancer screening, prognosis and treatment  ... 
doi:10.1117/1.jmi.8.3.031901 pmid:34179216 pmcid:PMC8223165 fatcat:zogh23sskzf4fatlfilmsjlffy

Radiogenomics: bridging imaging and genomics

Zuhir Bodalal, Stefano Trebeschi, Thi Dan Linh Nguyen-Kim, Winnie Schats, Regina Beets-Tan
2019 Abdominal Radiology  
From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly being developed.  ...  In this review, a general outline of radiogenomic literature concerning prominent mutations across different tumor sites will be provided.  ...  Loss of PTEN in prostate cancer has been correlated with a clinically aggressive phenotype and increased mortality [179] .  ... 
doi:10.1007/s00261-019-02028-w pmid:31049614 fatcat:34rbtjd6ljh3rm2svqhv2hjqoe

The role of radiogenomics in the diagnosis of breast cancer: a systematic review

Leili Darvish, Mohammad-Taghi Bahreyni-Toossi, Nasibeh Roozbeh, Hosein Azimian
2022 Egyptian Journal of Medical Human Genetics  
Conclusion This review shows that radiogenomics can help with the diagnosis and treatment of breast cancer in patients.  ...  The present study aims to highlight the current state-of-the-art, the current role and limitations, and future directions of radiogenomics in breast cancer.  ...  MRIs Cohort Invasive ductal breast cancer was identified in 128 clinicopathologi- cally patients To identify genetic tumor mechanisms and tumor phenotypes by radiogenomics in breast cancer To combine  ... 
doi:10.1186/s43042-022-00310-z fatcat:jiwvckp7wjh7jpmhgvqbol6kiq

Radiogenomics for Precision Medicine With A Big Data Analytics Perspective

Andreas S. Panayides, Marios Pattichis, Stephanos Leandrou, Costas Pitris, Anastasia Constantinidou, Constantinos S. Pattichis
2019 IEEE journal of biomedical and health informatics  
More specifically, our goal is to highlight the fundamental challenges in emerging fields of radiomics and radiogenomics by reviewing the case studies of Cancer and Alzheimer's disease, describe the computational  ...  Using evidence-based substratification of patients, the objective is to achieve better prognosis, diagnosis, and treatment that will transform existing clinical pathways toward optimizing care for the  ...  Breast Invasive Carcinoma Invasive Lobular Carcinoma (ILC) is the 2nd most frequently diagnosed invasive breast cancer (between 10%-15% of all cases) and has been identified both clinically and molecularly  ... 
doi:10.1109/jbhi.2018.2879381 pmid:30596591 fatcat:rqmjhmdmr5h3rdaody264ogs24

TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review

Zanfardino, Pane, Mirabelli, Salvatore, Franzese
2019 International Journal of Molecular Sciences  
Finally, we outlined the potential clinical impact of radiogenomics to improve the accuracy of diagnosis and the prediction of patient outcomes in oncology.  ...  In this scenario, a leading role is played by The Cancer Genome Atlas (TCGA) and The Cancer Imaging Archive (TCIA), which make available, respectively, molecular 'omic data and linked imaging data.  ...  In this way, the clinical potential application of radiogenomic might be non-invasive in vivo tumor characterization to extract prognostic and predictive data, for more precise diagnosis and monitor patients  ... 
doi:10.3390/ijms20236033 pmid:31795520 pmcid:PMC6929079 fatcat:xmcrk3kmujem3bgopeyezozce4

The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology

Lin Shui, Haoyu Ren, Xi Yang, Jian Li, Ziwei Chen, Cheng Yi, Hong Zhu, Pixian Shui
2021 Frontiers in Oncology  
Radiogenomics combines a large volume of quantitative data extracted from medical images with individual genomic phenotypes and constructs a prediction model through deep learning to stratify patients,  ...  Therefore, radiogenomics could facilitate computer-aided diagnosis, treatment, and prediction of the prognosis in patients with tumors in the routine clinical setting.  ...  ACKNOWLEDGMENTS We owe thanks to all the members participating in this work.  ... 
doi:10.3389/fonc.2020.570465 pmid:33575207 pmcid:PMC7870863 fatcat:skgv7ttfeffojft2o7fl63lgzy

Imaging genomics in cancer research: limitations and promises

Harrison X Bai, Ashley M Lee, Li Yang, Paul Zhang, Christos Davatzikos, John M Maris, Sharon J Diskin
2016 British Journal of Radiology  
Ideal design for a radiogenomic study.  ...  Radiogenomics has the potential to provide comprehensive intratumour, intertumour and peritumour information non-invasively.  ...  breast cancer.  ... 
doi:10.1259/bjr.20151030 pmid:26864054 pmcid:PMC4985482 fatcat:7izhbra4vzhqrdeqgpj3jamc4y

Combining molecular and imaging metrics in cancer: radiogenomics

Roberto Lo Gullo, Isaac Daimiel, Elizabeth A. Morris, Katja Pinker
2020 Insights into Imaging  
Because genetic testing remains expensive, invasive, and time-consuming, and thus unavailable for all patients, radiogenomics may play an important role in providing accurate imaging surrogates which are  ...  Radiomics and radiogenomics are promising to increase precision in diagnosis, assessment of prognosis, and prediction of treatment response, providing valuable information for patient care throughout the  ...  With personal medicine playing an increasing role in clinical practice, radiogenomics in particular can allow fast and non-invasive genotype identification and be applied to all cancer types.  ... 
doi:10.1186/s13244-019-0795-6 pmid:31901171 pmcid:PMC6942081 fatcat:5yyfm5sby5einpwwtwa5hjalp4

MRI Radiogenomics in Precision Oncology: New Diagnosis and Treatment Method

Xiao-Xia Yin, Mingyong Gao, Wei Wang, Yanchun Zhang, Le Sun
2022 Computational Intelligence and Neuroscience  
This paper is to investigate radiogenomics methods in the literature for precision medicine for cancer focusing on the heterogeneity analysis of tumors.  ...  Precision medicine for cancer affords a new way for the most accurate and effective treatment to each individual cancer.  ...  Acknowledgments is work was funded by Science and Technology Projects in Guangzhou, China (Grant no. 202102010472) and National Natural Science Foundation of China (NSFC) (Grant no. 62176071).  ... 
doi:10.1155/2022/2703350 pmid:35845886 pmcid:PMC9282990 fatcat:ttv3jgryozauhmxqonpef3qngi

Radiomic biomarkers of tumor immune biology and immunotherapy response

Jarey H. Wang, Kareem A. Wahid, Lisanne V. van Dijk, Keyvan Farahani, Reid F. Thompson, Clifton David Fuller
2021 Clinical and Translational Radiation Oncology  
In recent years, quantitative image analyses have highlighted the utility of medical imaging in predicting tumor phenotypes, prognosis, and therapeutic response.  ...  In this review, we highlight current progress in radiomics to understand tumor immune biology and predict clinical responses to immunotherapies.  ...  Breast cancer Breast cancer has been a challenging arena for immunotherapy, which has demonstrated limited efficacy in clinical trials to date [81] .  ... 
doi:10.1016/j.ctro.2021.03.006 pmid:33937530 pmcid:PMC8076712 fatcat:pb2xkgftvbdzffhfmejy2xflv4

Radiogenomics: What It Is and Why It Is Important

Maciej A. Mazurowski
2015 Journal of the American College of Radiology  
In recent years a new direction in cancer research has emerged that focuses on the relationship between imaging phenotypes and genomics.  ...  practical role in cancer research.  ...  David Haynor for a helpful discussion, Drs. Bruce Hillman and Lars Grimm for their help in editing this manuscript as well as two anonymous reviewers for their helpful suggestions.  ... 
doi:10.1016/j.jacr.2015.04.019 pmid:26250979 fatcat:t3nehljrpzdtrizjnigdkylhka

Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework

Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Antonella Balestrieri, Neha Gupta, Narinder N. Khanna, John R. Laird, Manudeep K. Kalra, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri
2022 Cancers  
Furthermore, under the AI paradigm, both the conventional and deep radiomics features have made an impact on the favorable outcomes of the radiogenomics approach of BTC.  ...  The radiomics approach uses the radiological image for disease characterization by extracting quantitative radiomics features in the artificial intelligence (AI) environment.  ...  Similarly, both the phenotype and genotype of the cancer are useful for radiogenomics analysis.  ... 
doi:10.3390/cancers14164052 pmid:36011048 pmcid:PMC9406706 fatcat:iwo6a7plnjgujgt6mi7wfywo3u
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