Systematic Review on the Association of Radiomics with Tumor Biological Endpoints
Radiomics supposes an alternative non-invasive tumor characterization tool, which has experienced increased interest with the advent of more powerful computers and more sophisticated machine learning algorithms. Nonetheless, the incorporation of radiomics in cancer clinical-decision support systems...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/13/12/3015 |
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| author | Agustina La Greca Saint-Esteven Diem Vuong Fabienne Tschanz Janita E. van Timmeren Riccardo Dal Bello Verena Waller Martin Pruschy Matthias Guckenberger Stephanie Tanadini-Lang |
| author_facet | Agustina La Greca Saint-Esteven Diem Vuong Fabienne Tschanz Janita E. van Timmeren Riccardo Dal Bello Verena Waller Martin Pruschy Matthias Guckenberger Stephanie Tanadini-Lang |
| author_sort | Agustina La Greca Saint-Esteven |
| collection | DOAJ |
| description | Radiomics supposes an alternative non-invasive tumor characterization tool, which has experienced increased interest with the advent of more powerful computers and more sophisticated machine learning algorithms. Nonetheless, the incorporation of radiomics in cancer clinical-decision support systems still necessitates a thorough analysis of its relationship with tumor biology. Herein, we present a systematic review focusing on the clinical evidence of radiomics as a surrogate method for tumor molecular profile characterization. An extensive literature review was conducted in PubMed, including papers on radiomics and a selected set of clinically relevant and commonly used tumor molecular markers. We summarized our findings based on different cancer entities, additionally evaluating the effect of different modalities for the prediction of biomarkers at each tumor site. Results suggest the existence of an association between the studied biomarkers and radiomics from different modalities and different tumor sites, even though a larger number of multi-center studies are required to further validate the reported outcomes. |
| first_indexed | 2024-03-10T10:21:38Z |
| format | Article |
| id | doaj.art-900cefd6db56481e9384db99db5c41c6 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T10:21:38Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-900cefd6db56481e9384db99db5c41c62023-11-22T00:21:26ZengMDPI AGCancers2072-66942021-06-011312301510.3390/cancers13123015Systematic Review on the Association of Radiomics with Tumor Biological EndpointsAgustina La Greca Saint-Esteven0Diem Vuong1Fabienne Tschanz2Janita E. van Timmeren3Riccardo Dal Bello4Verena Waller5Martin Pruschy6Matthias Guckenberger7Stephanie Tanadini-Lang8Department of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, SwitzerlandDepartment of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, SwitzerlandLaboratory of Applied Radiobiology, Department of Radiation Oncology, University of Zurich, 8091 Zurich, SwitzerlandDepartment of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, SwitzerlandDepartment of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, SwitzerlandLaboratory of Applied Radiobiology, Department of Radiation Oncology, University of Zurich, 8091 Zurich, SwitzerlandLaboratory of Applied Radiobiology, Department of Radiation Oncology, University of Zurich, 8091 Zurich, SwitzerlandDepartment of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, SwitzerlandDepartment of Radiation Oncology, University Hospital Zurich and University of Zurich, 8091 Zurich, SwitzerlandRadiomics supposes an alternative non-invasive tumor characterization tool, which has experienced increased interest with the advent of more powerful computers and more sophisticated machine learning algorithms. Nonetheless, the incorporation of radiomics in cancer clinical-decision support systems still necessitates a thorough analysis of its relationship with tumor biology. Herein, we present a systematic review focusing on the clinical evidence of radiomics as a surrogate method for tumor molecular profile characterization. An extensive literature review was conducted in PubMed, including papers on radiomics and a selected set of clinically relevant and commonly used tumor molecular markers. We summarized our findings based on different cancer entities, additionally evaluating the effect of different modalities for the prediction of biomarkers at each tumor site. Results suggest the existence of an association between the studied biomarkers and radiomics from different modalities and different tumor sites, even though a larger number of multi-center studies are required to further validate the reported outcomes.https://www.mdpi.com/2072-6694/13/12/3015radiomicstumor biologycancerimaging biomarkertumor molecular marker |
| spellingShingle | Agustina La Greca Saint-Esteven Diem Vuong Fabienne Tschanz Janita E. van Timmeren Riccardo Dal Bello Verena Waller Martin Pruschy Matthias Guckenberger Stephanie Tanadini-Lang Systematic Review on the Association of Radiomics with Tumor Biological Endpoints Cancers radiomics tumor biology cancer imaging biomarker tumor molecular marker |
| title | Systematic Review on the Association of Radiomics with Tumor Biological Endpoints |
| title_full | Systematic Review on the Association of Radiomics with Tumor Biological Endpoints |
| title_fullStr | Systematic Review on the Association of Radiomics with Tumor Biological Endpoints |
| title_full_unstemmed | Systematic Review on the Association of Radiomics with Tumor Biological Endpoints |
| title_short | Systematic Review on the Association of Radiomics with Tumor Biological Endpoints |
| title_sort | systematic review on the association of radiomics with tumor biological endpoints |
| topic | radiomics tumor biology cancer imaging biomarker tumor molecular marker |
| url | https://www.mdpi.com/2072-6694/13/12/3015 |
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