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Radiomics-Based Analysis in the Prediction of Occult Lymph Node Metastases in Patients with Oral Cancer: A Systematic Review

Serena Jiang, Luca Giovanni Locatello, Giandomenico Maggiore, Oreste Gallo

2023Journal of Clinical Medicine18 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Tumor extension and metastatic cervical lymph nodes' (LNs) number and dimensions are major prognostic factors in patients with oral squamous cell carcinoma (OSCC). Radiomics-based models are being integrated into clinical practice in the prediction of LN status prior to surgery in order to optimize the treatment, yet their value is still debated. METHODS: A systematic review of the literature was conducted according to the PRISMA guideline. Baseline study characteristics, and methodological items were extracted and summarized. RESULTS: A total of 10 retrospective studies were included into the present study, each of them exploiting a single imaging modality. Data from a cohort of 1489 patients were analyzed: the highest AUC value was 99.5%, ACC ranges from 68% to 97.5%, and sensibility and specificity were over 0.65 and 0.70, respectively. CONCLUSION: Radiomics may be a noninvasive tool to predict occult LN metastases (LNM) in OSCC patients prior to treatment; further prospective studies are warranted to create a reproducible and reliable method for the detection of LNM in OSCC.

Topics & Concepts

MedicineRadiomicsOccultLymph nodeGuidelineNomogramRetrospective cohort studyRadiologyCancerOncologyInternal medicinePathologyAlternative medicineHead and Neck Cancer StudiesRadiomics and Machine Learning in Medical ImagingCancer Diagnosis and Treatment
Radiomics-Based Analysis in the Prediction of Occult Lymph Node Metastases in Patients with Oral Cancer: A Systematic Review | Litcius