ArticleLa Radiologia medica2026
Early post-operative NI-RADS predicts recurrence and survival in high-risk oral cavity squamous cell carcinoma undergoing adjuvant radiotherapy.
Article in La Radiologia medica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Inter-rater reliability of MRI Neck Imaging Reporting and Data System (NI-RADS) in the follow-up of oropharyngeal squamous cell carcinoma.La Radiologia medica · 2026Observational
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16 authors.
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Abstract
purposeTo evaluate the prognostic value of the Neck Imaging Reporting and Data Systems (NI-RADS) in early post-operative imaging for predicting recurrence and survival outcomes in high-risk oral cavity squamous cell carcinoma (SCC) patients undergoing post-operative radiotherapy (PORT).
methodsThis retrospective study included 84 patients with high-risk oral cavity SCC who were scheduled for PORT after radical surgery between January 2013 and May 2024. Early imaging with contrast-enhanced CT or MRI was performed within 12 weeks post-surgery and scored using the NI-RADS system. Associations between NI-RADS scores, recurrence, and survival outcomes were analyzed using Kaplan-Meier and Cox proportional hazards models.
resultsAlthough NI-RADS was originally designed for post-treatment surveillance, we applied it to early post-operative imaging as an exploratory risk-stratification tool. NI-RADS scores significantly predicted regional disease-free survival (DFS) and overall survival (OS). Patients with higher NI-RADS T and N scores had poorer outcomes. Multivariable analysis confirmed early NI-RADS T as an independent predictor of OS (p = 0.01). Interobserver agreement for NI-RADS classifications was strong (Weighted Kappa: T = 0.837, N = 0.855). Although higher radiotherapy doses were administered to patients with NI-RADS 2-3 scores, these patients demonstrated worse outcomes, reflecting aggressive disease.
conclusionEarly application of NI-RADS in post-operative imaging provides valuable prognostic insights, enabling risk stratification and tailored management in high-risk oral cavity SCC patients. Streamlining imaging workflows and exploring alternative therapeutic strategies for high-risk groups may further optimize outcomes.
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