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Reuzé S, Alexis A, Chargari C, Bockel S, Berthelot K, Escande A, Dumas I, Orlhac F, Haie-Meder C, Deutsch E, Robert C. OC-0075: A MRI radiomic signature for predicting brachytherapy outcomes in locally advanced cervical cancer. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)30385-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Reuzé S, Orlhac F, Ricard M, Vallot D, Ksouri W, Laprie A, Dercle L, Deutsch E, Robert C. EP-2100: Development of a filter-based method for multicenter PET image harmonization in radiomic studies. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32409-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Limkin E, Reuzé S, Sun R, Schernberg A, Alexis A, Dirand A, Deutsch E, Ferté C, Robert C. EP-1993: Evaluation of the pertinence of CT-based radiomics shape features with 3D printed phantoms. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32302-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Reuzé S, Chargari C, Schernberg A, Seban R, Alexis A, Bockel S, Berthelot K, Escande A, Dercle L, Haie-Meder C, Deutsch E, Robert C. PO-0807: Diversity of PET imaging biomarkers predicting cervical cancer treatment outcome: where do we stand? Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)31117-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Reuzé S, Dirand A, Sun R, Orlhac F, Louvel G, Ammari S, Deutsch E, Robert C. PV-0528: An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)30838-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Limkin EJ, Sun R, Dercle L, Zacharaki EI, Robert C, Reuzé S, Schernberg A, Paragios N, Deutsch E, Ferté C. Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology. Ann Oncol 2018; 28:1191-1206. [PMID: 28168275 DOI: 10.1093/annonc/mdx034] [Citation(s) in RCA: 439] [Impact Index Per Article: 73.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Medical image processing and analysis (also known as Radiomics) is a rapidly growing discipline that maps digital medical images into quantitative data, with the end goal of generating imaging biomarkers as decision support tools for clinical practice. The use of imaging data from routine clinical work-up has tremendous potential in improving cancer care by heightening understanding of tumor biology and aiding in the implementation of precision medicine. As a noninvasive method of assessing the tumor and its microenvironment in their entirety, radiomics allows the evaluation and monitoring of tumor characteristics such as temporal and spatial heterogeneity. One can observe a rapid increase in the number of computational medical imaging publications-milestones that have highlighted the utility of imaging biomarkers in oncology. Nevertheless, the use of radiomics as clinical biomarkers still necessitates amelioration and standardization in order to achieve routine clinical adoption. This Review addresses the critical issues to ensure the proper development of radiomics as a biomarker and facilitate its implementation in clinical practice.
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Affiliation(s)
- E J Limkin
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif
| | - R Sun
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.,Faculty of Medicine, Paris Sud University, Kremlin-Bicetre
| | - L Dercle
- Department of Nuclear Medicine and Endocrine Oncology, Gustave Roussy, Paris-Saclay University, Villejuif
| | - E I Zacharaki
- Center for Visual Computing, CentraleSupelec/Paris-Saclay University/Inria, Châtenay-Malabry
| | - C Robert
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.,Faculty of Medicine, Paris Sud University, Kremlin-Bicetre
| | - S Reuzé
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.,Faculty of Medicine, Paris Sud University, Kremlin-Bicetre
| | - A Schernberg
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.,Faculty of Medicine, Paris Sud University, Kremlin-Bicetre
| | - N Paragios
- Center for Visual Computing, CentraleSupelec/Paris-Saclay University/Inria, Châtenay-Malabry.,TheraPanacea, Paris
| | - E Deutsch
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif
| | - C Ferté
- Radiomics team, INSERM U1030, Gustave Roussy.,Department of Head and Neck Oncology, Gustave Roussy, Paris-Saclay University, Villejuif, France
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Sun R, Limkin E, Dercle L, Reuzé S, Zacharaki E, Chargari C, Schernberg A, Dirand A, Alexis A, Paragios N, Deutsch É, Ferté C, Robert C. Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie. Cancer Radiother 2017; 21:648-654. [DOI: 10.1016/j.canrad.2017.07.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Accepted: 07/01/2017] [Indexed: 12/12/2022]
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Sun R, Limkin E, Dercle L, Champiat S, Reuzé S, Brandao D, Verlingue L, Ammari S, Aspeslagh S, Schernberg A, Postel-Vinay S, Hollebecque A, Massard C, Marabelle A, Robert C, Soria JC, Deutsch E, Ferté C. A novel radiomic based imaging tool to monitor tumor lymphocyte infiltration and outcome of patients treated by anti-PD-1/PD-L1. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx390.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Reuzé S, Orlhac F, Chargari C, Nioche C, Riet F, Escande A, Haie-Meder C, Dercle L, Buvat I, Deutsch E, Robert C. EP-1692: Multi-device textural analysis on 18F-FDG PET images for predicting cervical cancer recurrence. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)32224-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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