Accuracy of magnetic resonance imaging in evaluating the depth of invasion of tongue cancer. A prospective cohort study

Mao, Minghui; Wang, Shu; Feng, Zhien; Li, Jin-Zhong; Li, Hua; Qin, Lizheng; Han, Zhengxue

doi:10.1016/j.oraloncology.2019.01.021

Cited by 55 publications

(45 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In another study only concerning to T2N0 tongue cancer patients, it resulted that the MR‐DOI overestimated P‐DOI by 2–3 mm (Murakami et al., 2019). In a study with relatively large cohort and with more early cases than our series, the difference between MR‐DOI and P‐DOI was averagely 2.32 mm and increased with T‐stage up‐graded (Mao et al., 2019).…”

Section: Discussionmentioning

confidence: 68%

Assessing the magnetic resonance imaging in determining the depth of invasion of tongue cancer

Zhu

et al. 2020

Oral Diseases

View full text Add to dashboard Cite

Objectives To assess the magnetic resonance imaging (MRI) in predicting tumour's depth of invasion (DOI) of tongue cancer by comparing to pathology and to determine the cut‐off value of MRI‐derived DOI for lymph node metastasis. Patients and methods In a retrospective analysis, 156 patients with newly diagnosed tongue cancer were included. Tumour's DOI was compared between MRI measurement and pathology by Pearson correlation coefficient and paired t test. The accuracy of MRI‐derived DOI was compared to the pathological DOI. The relationship between MRI‐derived DOI and cervical lymph node metastasis was calculated by receiver operating characteristic curve. Results Tumour's DOI was well correlated between MRI measurement and pathology with correlation coefficients of 0.77. MRI‐derived DOI was 3.4 mm (28%) larger than pathology. The accuracy of MRI in deciding pathological DOI was 67.9%. The cut‐off value of MRI‐derived DOI was 10.5 mm for lymph node metastasis of tongue cancer. Conclusion Magnetic resonance imaging can be used as a reference to determine tumour's DOI of tongue cancer. Tumour with MRI‐derived DOI larger than 10.5 mm deserves simultaneous neck dissection at initial surgery.

show abstract

Section: Discussionmentioning

confidence: 68%

Assessing the magnetic resonance imaging in determining the depth of invasion of tongue cancer

Zhu

et al. 2020

Oral Diseases

View full text Add to dashboard Cite

show abstract

“…The feasibility of measurement of DOI by MRI has been widely analyzed [13,14,16,17]. Murakami et al [13] compared the inter-rater reliability of different methods of DOI measurement by MRI, the authors found the method of the axial invasive portion had excellent inter-rater reliability.…”

Section: Discussionmentioning

confidence: 99%

“…MRI-determined DOI was measured based on T1-weigthed layers by a 1.5T scan [13,14], it was defined as the vertical distance between the deepest point of tumor infiltration and the simulated normal mucosal junction ( Figure 1). For exogenous tumors, the part above the mucosal surface was neglected, and for ulcerative tumors, the invaginated part was added [17]. The MRI-determined DOI was measured by at least two radiologists.…”

Section: Methodsmentioning

confidence: 99%

Depth of invasion determined by MRI in cT1N0 tongue: is it an indicator for elective neck dissection?

Yuan

Kang

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstracts Background Depth of invasion (DOI) could be calculated by MRI preoperatively, whether MRI-determined DOI could predict the prognosis and whether it could be used as an indicator for neck dissection for cT1N0 tongue squamous cell carcinoma (SCC) remain unknown, the main goal of the current study aimed to answer the questions. Methods Patients with surgically treated cT1N0 tongue SCC were retrospectively enrolled, MRI-determined DOI was measured based on T1-weigthed layers by a 1.5T scan. A multivariate logistic regression analysis model was used to determine the independent predictors for occult neck lymph node metastasis. The main study endpoints were locoregional control survival (LRC) and disease specific survival (DSS), the Cox model was used to determine the independent prognostic factors for the LRC and DSS. Results Occult neck lymph node metastasis was noted in 26 (17.2%) patients, ROC curve indicated the optimal cutoff value of MRI-determined DOI was 7.5mm for predicting neck lymph node metastasis with sensitivity of 86.9%. The factors of lymphovascular invasion, MRI-determined DOI, pathologic DOI, and pathologic tumor grade were significantly associated with the presence of neck lymph node metastasis in univariate analysis, further logistic regression analysis confirmed the independence of lymphovascular invasion, MRI-determined DOI, and pathologic DOI in predicting the neck lymph node metastasis. The 5-year LRC and DSS rates were 84% and 90%, respectively. Cox model analysis suggested the MRI-determined DOI was an independent prognostic factor for both the LRC and DSS. Conclusions Elective neck dissection is suggested if MRI-determined DOI is greater than 7.5mm in cT1N0 tongue SCC, and MRI-determined DOI ≥7.5mm indicates more risk for disease recurrence and cancer caused death.

show abstract

“…There are severalimaging methods available for preoperative evaluation.More recent studies suggest that the high resolution of magnetic resonance imaging (MRI) is reliable optimally depicts soft tissue tumor extension, and is useful to assess tumor thickness in predicting cervical lymph node metastasis [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of Multiparametric Mri-based Nomogram for Predicting Occult Metastasis Risk in Early Tongue Squamous Cell Carcinoma

Saenthaveesuk

Yang

Zeng

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Nomograms 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.Methods: This 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.Results: Multivariate 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.Conclusions: A 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 whether to manage with neck surgery 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.

show abstract

Accuracy of magnetic resonance imaging in evaluating the depth of invasion of tongue cancer. A prospective cohort study

Cited by 55 publications

References 16 publications

Assessing the magnetic resonance imaging in determining the depth of invasion of tongue cancer

Assessing the magnetic resonance imaging in determining the depth of invasion of tongue cancer

Depth of invasion determined by MRI in cT1N0 tongue: is it an indicator for elective neck dissection?

Development and Validation of Multiparametric Mri-based Nomogram for Predicting Occult Metastasis Risk in Early Tongue Squamous Cell Carcinoma

Contact Info

Product

Resources

About