Article ; Online: The added value of radiomics in determining patient responsiveness to laryngeal preservation strategies.
Current opinion in otolaryngology & head and neck surgery
2024 Volume 32, Issue 2, Page(s) 134–137
Abstract: Purpose of review: Laryngeal cancer (LC) is a highly aggressive malignancy of the head and neck and represents about 1-2% of cancer worldwide.Treatment strategies for LC aim both to complete cancer removal and to preserve laryngeal function or maximize ... ...
Abstract | Purpose of review: Laryngeal cancer (LC) is a highly aggressive malignancy of the head and neck and represents about 1-2% of cancer worldwide.Treatment strategies for LC aim both to complete cancer removal and to preserve laryngeal function or maximize larynx retention.Predicting with high precision response to induction chemotherapy (IC) is one of the main fields of research when considering LC, since this could guide treatment strategies in locally advanced LC. Recent findings: Radiomics is a noninvasive method to extract quantitative data from the whole tumor using medical imaging. This signature could represent the underlying tumor heterogeneity and phenotype.During the last five years, some studies have highlighted the potential of radiomics in the pretreatment assessment of LC, in the prediction of response to IC, and in the early assessment of response to radiation therapy. Although these represent promising results, larger multicentric studies are demanded to validate the value of radiomics in this field. Summary: The role of radiomics in laryngeal preservation strategies is still to be defined. There are some early promising studies, but the lack of validation and larger multicentric studies limit the value of the papers published in the literature and its application in clinical practice. |
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MeSH term(s) | Humans ; Radiomics ; Larynx/diagnostic imaging ; Laryngeal Neoplasms/diagnostic imaging ; Laryngeal Neoplasms/therapy ; Laryngeal Neoplasms/pathology ; Diagnostic Imaging |
Language | English |
Publishing date | 2024-01-18 |
Publishing country | United States |
Document type | Review ; Journal Article |
ZDB-ID | 1232518-1 |
ISSN | 1531-6998 ; 1068-9508 |
ISSN (online) | 1531-6998 |
ISSN | 1068-9508 |
DOI | 10.1097/MOO.0000000000000963 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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