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Role of Radiomics in Parotid Malignant Disease: A Scoping Review
Andrea Migliorelli1, Marianna Manuelli1, Andrea Ciorba1
1ENT & Audiology Unit, Department of Neurosciences, University Hospital of Ferrara, 44100 Ferrara, Italy.
Cancers
|October 29, 2025
Summary
Radiomics shows promise in diagnosing malignant parotid gland tumors, achieving high accuracy. However, standardized protocols are needed for consistent results in clinical practice.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Malignant salivary gland tumors are rare head and neck neoplasms.
- Parotid gland tumors are the most frequent.
- Accurate preoperative diagnosis is crucial for patient management.
Purpose of the Study:
- To review recent literature on radiomics for malignant parotid gland tumors.
- To assess the diagnostic performance of radiomics in these tumors.
Main Methods:
- Systematic literature review (PubMed/MEDLINE, EMBASE, Cochrane Library) from 2020-July 2025.
- PRISMA criteria adherence.
- Analysis of six studies involving 560 patients using MRI, CT, and PET/CT.
Main Results:
- Radiomics models demonstrated good diagnostic performance (AUC 0.769-0.952).
- Methodological heterogeneity hindered data pooling.
- Imaging modalities included MRI, CT, and PET/CT.
Conclusions:
- Radiomics holds potential for managing malignant parotid gland tumors.
- Lack of standardized protocols impedes result comparison.
- Further research is required to validate findings.
Keywords:
artificial intelligencedeep learningmachine learningparotid cancerradiomicssalivary gland cancer
