Current Role of Delta Radiomics in Head and Neck Oncology
The latest developments in the management of head and neck cancer show an increasing trend in the implementation of novel approaches using artificial intelligence for better patient stratification and treatment-related risk evaluation. Radiomics, or the extraction of data from various imaging modali...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/24/3/2214 |
| _version_ | 1797624395644010496 |
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| author | David C. Marcu Cristian Grava Loredana G. Marcu |
| author_facet | David C. Marcu Cristian Grava Loredana G. Marcu |
| author_sort | David C. Marcu |
| collection | DOAJ |
| description | The latest developments in the management of head and neck cancer show an increasing trend in the implementation of novel approaches using artificial intelligence for better patient stratification and treatment-related risk evaluation. Radiomics, or the extraction of data from various imaging modalities, is a tool often used to evaluate specific features related to the tumour or normal tissue that are not identifiable by the naked eye and which can add value to existing clinical data. Furthermore, the assessment of feature variations from one time point to another based on subsequent images, known as delta radiomics, was shown to have even higher value for treatment-outcome prediction or patient stratification into risk categories. The information gathered from delta radiomics can, further, be used for decision making regarding treatment adaptation or other interventions found to be beneficial to the patient. The aim of this work is to collate the existing studies on delta radiomics in head and neck cancer and evaluate its role in tumour response and normal-tissue toxicity predictions alike. Moreover, this work also highlights the role of holomics, which brings under the same umbrella clinical and radiomic features, for a more complex patient characterization and treatment optimisation. |
| first_indexed | 2024-03-11T09:41:48Z |
| format | Article |
| id | doaj.art-5c97d00db1414918b751d6b38552545f |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-11T09:41:48Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-5c97d00db1414918b751d6b38552545f2023-11-16T16:53:59ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-01-01243221410.3390/ijms24032214Current Role of Delta Radiomics in Head and Neck OncologyDavid C. Marcu0Cristian Grava1Loredana G. Marcu2Faculty of Electrical Engineering & Information Technology, University of Oradea, 410087 Oradea, RomaniaFaculty of Electrical Engineering & Information Technology, University of Oradea, 410087 Oradea, RomaniaFaculty of Informatics & Science, University of Oradea, 410087 Oradea, RomaniaThe latest developments in the management of head and neck cancer show an increasing trend in the implementation of novel approaches using artificial intelligence for better patient stratification and treatment-related risk evaluation. Radiomics, or the extraction of data from various imaging modalities, is a tool often used to evaluate specific features related to the tumour or normal tissue that are not identifiable by the naked eye and which can add value to existing clinical data. Furthermore, the assessment of feature variations from one time point to another based on subsequent images, known as delta radiomics, was shown to have even higher value for treatment-outcome prediction or patient stratification into risk categories. The information gathered from delta radiomics can, further, be used for decision making regarding treatment adaptation or other interventions found to be beneficial to the patient. The aim of this work is to collate the existing studies on delta radiomics in head and neck cancer and evaluate its role in tumour response and normal-tissue toxicity predictions alike. Moreover, this work also highlights the role of holomics, which brings under the same umbrella clinical and radiomic features, for a more complex patient characterization and treatment optimisation.https://www.mdpi.com/1422-0067/24/3/2214radiomicssequential imagingradiotherapychemotherapyadaptive treatmentoutcome prediction |
| spellingShingle | David C. Marcu Cristian Grava Loredana G. Marcu Current Role of Delta Radiomics in Head and Neck Oncology International Journal of Molecular Sciences radiomics sequential imaging radiotherapy chemotherapy adaptive treatment outcome prediction |
| title | Current Role of Delta Radiomics in Head and Neck Oncology |
| title_full | Current Role of Delta Radiomics in Head and Neck Oncology |
| title_fullStr | Current Role of Delta Radiomics in Head and Neck Oncology |
| title_full_unstemmed | Current Role of Delta Radiomics in Head and Neck Oncology |
| title_short | Current Role of Delta Radiomics in Head and Neck Oncology |
| title_sort | current role of delta radiomics in head and neck oncology |
| topic | radiomics sequential imaging radiotherapy chemotherapy adaptive treatment outcome prediction |
| url | https://www.mdpi.com/1422-0067/24/3/2214 |
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