ArticleJournal of medical imaging and radiation oncology2025
MRI Signatures of Parotid Tumours Impacting Management Decisions: A Retrospective Study With Radiology and Pathology Correlation.
Article in Journal of medical imaging and radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Multimodal imaging features of nuclear protein in testis carcinoma of the submandibular gland: a case report.Journal of medical case reports · 2026Article
- Parotid pleomorphic adenoma: can a biopsy be omitted in the setting of a characteristic MRI?Oral radiology · 2026Article
- Multimodal Imaging of Oncocytic Lipoadenoma Arising from the Parotid Deep Lobe with Medial Extension into the Parapharyngeal Space: A Case Report with Histopathologic Findings and Literature Review.Diagnostics (Basel, Switzerland) · 2026Article
- Importance of magnetic resonance in the diagnosis of pleomorphic parotid adenoma. Clinical case series.Medicina oral, patologia oral y cirugia bucal · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionFine needle aspiration (FNA) from parotid tumour is inadequate and nondiagnostic in 8% and FNA/biopsy from deep lobe is technically challenging; hence, our first objective was to evaluate MRI findings which best predict the benign and malignant nature of parotid tumour. Our second objective was to develop MRI signatures for parotid tumour histopathologies including grades of carcinoma, to help in decision making regarding elective neck dissection.
methodsTwo head and neck radiologists retrospectively evaluated and developed signatures of common benign and malignant parotid tumours using morphology and signal intensity-related variables for 98 patients on MRI available in PACS from 01 January 2016 to 26 December 2022. T1 weighted image (WI), T2WI, short tau inversion recovery, diffusion WI/apparent diffusion coefficient and postcontrast T1WI sequences were evaluated. The developed MRI signatures were then validated by a blinded third radiologist.
resultsSensitivity, specificity, accuracy, positive and negative predictive values using MRI signatures were 92.31%, 100%, 94.23%, 100% and 81.25%, respectively, for benign and malignant nature of parotid tumours with a highly significant p-value (< 1e-04). Developed MRI signatures also showed high statistical performance and significant p-value for parotid tumour histopathologies and grades of mucoepidermoid carcinoma (MEC). T2 signal intensity and enhancement patterns can help identify low-grade MEC, impacting management decisions regarding elective neck dissection.
conclusionsMRI can predict the benign and malignant nature, parotid tumour histopathologies and grades of MEC when typical signatures are present, impacting management decisions.
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