ArticleBMC cancer2021
Development and validation of multiparametric MRI-based nomogram for predicting occult metastasis risk in early tongue squamous cell carcinoma.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- A bibliometric study and visualization analysis of the current status and perspectives in upper tract urothelial carcinoma.Medicine · 2026Article
- Enhancing the pathological diagnosis of oral cancers using broadband ultraviolet photoacoustic microscopy.Biomedical optics express · 2025Article
- Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma.La Radiologia medica · 2024Article
- Nutritional and immune-related indicators-based Nomogram for predicting overall survival of surgical oral tongue squamous cell carcinoma.Scientific reports · 2023Article
- Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery.BMC oral health · 2021Article
- Accuracy of magnetic resonance imaging in the assessment of depth of invasion in tongue carcinoma: A systematic review and meta-analysis.National journal of maxillofacial surgeryReview
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Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
Abstract
backgroundNomograms are currently used in predicting individualized outcomes in clinical oncology of several cancers. However, nomograms for evaluating occult nodal metastasis of patients with squamous cell carcinoma of lateral tongue (SCCLT) have not been widely investigated for their functionality. This retrospective cohort study was designed to address this question.
methodsThis study was divided into primary and validation cohorts. The primary cohort comprised 120 patients diagnosed between 2012 and 2017, whereas the validation cohort included 41 patients diagnosed thereafter. The diagnostic value of multiparametric MRI, including radiologic tumor thickness threshold (rTTT) in three-dimensions, paralingual distance, and sublingual distance were investigated. A nomogram was developed based on stepwise logistic regression of potential predictors associated with nodal metastasis in the primary cohort and then tested for predictive accuracy in the validation cohort using area under the curve (AUC) and goodness-of-fit tests.
resultsMultivariate analysis, tumor size (odd ratio [OR] 15.175, 95% confidence interval [CI] 1.436-160.329, P = 0.024), rTTT (OR 11.528, 95% CI 2.483-53.530, P = 0.002), paralingual distance (OR 11.976, 95% CI 1.981-72.413, P = 0.005), and tumor location (OR 6.311, 95% CI 1.514-26.304, P = 0.011) were included in the nomogram to predict the likelihood of having cervical metastasis. A nomogram cutoff value of 210 points (sensitivity 93.8%, specificity 87.5%) was significantly different to classify the patients metastasis risk group (P < 0.001). Nomogram showed predictive accuracy with AUC 0.881 (95% CI 0.779-0.983, P < 0.001) and good calibration after the validation.
conclusionsA preoperative nomogram incorporating multiparametric MRI demonstrated good prediction and performed adequately in our study. Three-dimensional assessment of occult metastasis risk value obtained from this nomogram can assist in preoperative decision making for individual patients with early-stage SCCLT. The probability of nodal metastasis tended to be greater than 20% in patients with high metastasis risk or nomogram total score > 210 points.
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