H Hu1, K-L Cheng2, X-Q Xu1, F-Y Wu1, Y-S Tyan3, C-H Tsai4, C-Y Shen5. 1. From the Department of Radiology (H.H., X.-Q.X., F.-Y.W.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China. 2. Departments of Medical Imaging (K.-L.C., Y.-S.T., C.-Y.S.) School of Medical Imaging and Radiological Sciences (K.-L.C., Y.-S.T., C.-Y.S.) Department of Veterinary Medicine (K.-L.C.), National Chung Hsing University, Taichung, Taiwan. 3. Departments of Medical Imaging (K.-L.C., Y.-S.T., C.-Y.S.) School of Medical Imaging and Radiological Sciences (K.-L.C., Y.-S.T., C.-Y.S.) School of Medicine (Y.-S.T., C.-H.T., C.-Y.S.). 4. Pathology (C.-H.T.), Chung Shan Medical University Hospital, Taichung, Taiwan School of Medicine (Y.-S.T., C.-H.T., C.-Y.S.) Institute of Medicine (C.-H.T., C.-Y.S.), Chung Shan Medical University, Taichung, Taiwan. 5. Departments of Medical Imaging (K.-L.C., Y.-S.T., C.-Y.S.) School of Medical Imaging and Radiological Sciences (K.-L.C., Y.-S.T., C.-Y.S.) School of Medicine (Y.-S.T., C.-H.T., C.-Y.S.) Institute of Medicine (C.-H.T., C.-Y.S.), Chung Shan Medical University, Taichung, Taiwan shenchaoyu@gmail.com.
Abstract
BACKGROUND AND PURPOSE: Several studies indicated that tumor thickness or tumor volume might be helpful predictors for the prognosis of oral tongue squamous cell carcinoma. Our aim was to compare the value of tumor thickness versus tumor volume measurement based on preoperative MR imaging in predicting the prognosis of oral tongue squamous cell carcinoma, especially focusing on lymph node metastases and local recurrence. MATERIALS AND METHODS: Clinical, pathologic, and imaging data of patients with 46 oral tongue squamous cell carcinomas were retrospectively studied. Logistic regression analysis was used to evaluate the prognostic value of tumor thickness and tumor volume based on MR imaging. Receiver operating characteristic analysis was applied for the optimal cutoff value for the identified risk variable for prognosis. RESULTS: A higher intraclass correlation coefficient was achieved for the measurement of tumor thickness compared with tumor volume (0.990 versus 0.972). Multivariate analysis showed that tumor thickness was a significant predictor of lymph node metastases (P = .024), while tumor volume was not a significant predictor of either lymph node metastases or local recurrence (P > .05). Receiver operating characteristic results indicated that setting a tumor thickness of 8.5 mm as a cutoff value could achieve the optimal diagnostic efficiency for predicting lymph node metastases (area under the curve, 0.753; sensitivity, 0.889; specificity, 0.536). CONCLUSIONS: Tumor thickness based on preoperative MR imaging was useful in predicting the prognosis of oral tongue squamous cell carcinoma, especially lymph node metastases, in our patient population, while tumor volume was not.
BACKGROUND AND PURPOSE: Several studies indicated that tumor thickness or tumor volume might be helpful predictors for the prognosis of oral tongue squamous cell carcinoma. Our aim was to compare the value of tumor thickness versus tumor volume measurement based on preoperative MR imaging in predicting the prognosis of oral tongue squamous cell carcinoma, especially focusing on lymph node metastases and local recurrence. MATERIALS AND METHODS: Clinical, pathologic, and imaging data of patients with 46 oral tongue squamous cell carcinomas were retrospectively studied. Logistic regression analysis was used to evaluate the prognostic value of tumor thickness and tumor volume based on MR imaging. Receiver operating characteristic analysis was applied for the optimal cutoff value for the identified risk variable for prognosis. RESULTS: A higher intraclass correlation coefficient was achieved for the measurement of tumor thickness compared with tumor volume (0.990 versus 0.972). Multivariate analysis showed that tumor thickness was a significant predictor of lymph node metastases (P = .024), while tumor volume was not a significant predictor of either lymph node metastases or local recurrence (P > .05). Receiver operating characteristic results indicated that setting a tumor thickness of 8.5 mm as a cutoff value could achieve the optimal diagnostic efficiency for predicting lymph node metastases (area under the curve, 0.753; sensitivity, 0.889; specificity, 0.536). CONCLUSIONS:Tumor thickness based on preoperative MR imaging was useful in predicting the prognosis of oral tongue squamous cell carcinoma, especially lymph node metastases, in our patient population, while tumor volume was not.