evidencegaps
Primary study · included by 1 review

Prediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic Approach

Romeo 2020 · ROMEO VALERIA, CUOCOLO RENATO, RICCIARDI CARLO, et al. · Anticancer Research · 2019

Included by

Application of artificial intelligence and radiomics in the prediction of lymph node metastasis and tumour grading of oral cancer - a systematic review and meta analysis.
Non-Cochrane · DTA · 2026 · cited as Romeo 2020 · Tables 1 and 2; reference list
Outcome this study informsPooled effectEvidenceCertainty
Pooled sensitivity for histopathological grade of OSCC
All AI models: machine learning or deep learning radiomics prediction of histopathological grade of OSCC vs Not specified (reference standard not stated)
Sensitivity 0.88 [0.54, 0.98]4 studiesGRADE not reported

1 including review in total.