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References from Magnetic resonance imaging-based prediction models for tumor stage and cervical lymph node metastasis of tongue squamous cell carcinoma. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2022
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Unresolved reference
External reference
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Depth of invasion determined by magnetic resonance imaging in tongue cancer can be a predictor of cervical lymph node metastasis
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Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma
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Standardization of imaging features for radiomics analysis
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SMOTE: synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
Simple generalisation of the area under the ROC curve for multiple class classification problems
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Assessment of tumor depth in oral tongue squamous cell carcinoma with multiparametric MRI: correlation with pathology
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Correlating MRI and histologic tumor thickness in the assessment of oral tongue cancer
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The accuracy of magnetic resonance imaging to measure the depth of invasion in oral tongue cancer: a systematic review and meta-analysis
10.1016/j.ijom.2021.07.010 · 2022 · External reference
Usefulness of contrast-enhanced CT in the evaluation of depth of invasion in oral tongue squamous cell carcinoma: comparison with MRI
10.1007/s11282-020-00429-y · 2021 · External reference
Reliability of MRI-derived depth of invasion of oral tongue cancer
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Radiological approach for the newly incorporated T staging factor, depth of invasion (DOI), of the oral tongue cancer in the 8th edition of American Joint Committee on Cancer (AJCC) staging manual: assessment of the necessity for elective neck dissection
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A comparative study between CT, MRI, and intraoral US for the evaluation of the depth of invasion in early stage (T1/T2) tongue squamous cell carcinoma
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Hypoxia in head and neck cancer: how much, how important
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Machine learning predicts lymph node metastasis in early-stage oral tongue squamous cell carcinoma
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