Literature DB >> 31039018

Prognostic Value of Cervical Nodal Necrosis Observed in Preoperative CT and MRI of Patients With Tongue Squamous Cell Carcinoma and Cervical Node Metastases: A Retrospective Study.

Sung Hyun Baik1, Ji Won Seo1, Jun-Hwee Kim1, Seung-Koo Lee1, Eun Chang Choi2, Jinna Kim1.   

Abstract

OBJECTIVE. The prognosis of tongue squamous cell carcinoma (SCC) with cervical lymph node metastases is poor, and a subset of patients with aggressive disease experiences treatment failure. The current study evaluated the prognostic value of cervical nodal necrosis (CNN) observed on preoperative imaging studies of patients with tongue SCC and cervical node metastases. MATERIALS AND METHODS. We identified patients with tongue SCC who had undergone preoperative neck CT or MRI (or both) and retrospectively reviewed their demographic and clinical data. Patients with metastatic cervical lymph nodes were divided into two groups according to the presence (CNN group) or absence (non-CNN group) of necrosis, and radiologic extranodal extension (ENE) was assessed for all patients. Follow-up biopsy, imaging, and clinical examinations were used to determine survival and treatment failure. Cox proportional hazard regression analyses were performed to determine clinical, demographic, and pathologic factors for survival. RESULTS. Seventy-two patients with a mean follow-up period of 28.4 months were included. The incidence of CNN was 55.6% (40/72). In univariate analysis, patient age, evidence of CNN on preoperative imaging, radiologic ENE, clinical N classification, and overall stage were significantly associated with survival. The multivariate Cox proportional hazard model showed that patient age and CNN on preoperative imaging were independent negative prognostic factors. CONCLUSION. CNN observed on preoperative imaging studies is an independent predictor of a poor prognosis for patients with tongue SCC, and it may serve as a useful imaging biomarker for tailoring individual treatment regimens.

Entities:  

Keywords:  CT; MRI; cervical node metastasis; squamous cell carcinoma; tongue cancer

Year:  2019        PMID: 31039018     DOI: 10.2214/AJR.18.20405

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  Morphologic CT and MRI features of primary parotid squamous cell carcinoma and its predictive factors for differential diagnosis with mucoepidermoid carcinoma.

Authors:  Xiaohua Ban; Huijun Hu; Yue Li; Lingjie Yang; Yu Wang; Rong Zhang; Chuanmiao Xie; Cuiping Zhou; Xiaohui Duan
Journal:  Insights Imaging       Date:  2022-07-15

2.  Accuracy of the Anatomage Table in detecting extranodal extension in head and neck cancer: a pilot study.

Authors:  Giancarlo Tirelli; Jasmina de Groodt; Egidio Sia; Manuel Gianvalerio Belgrano; Ferruccio Degrassi; Paolo Boscolo-Rizzo; Maria Assunta Cova; Alberto Vito Marcuzzo
Journal:  J Med Imaging (Bellingham)       Date:  2021-02-01

3.  Perfusion defects in non-enlarged metastatic lymph nodes using vessel wall magnetic resonance imaging: Detection performance and diagnostic value.

Authors:  Maya Sakamoto; Ikuho Kojima; Masahiro Iikubo; Koichi Ito; Takafumi Aoki; Shiro Mori; Takenori Ogawa; Yukio Katori; Takaki Murata; Daisuke Ito; Tetsuya Kodama
Journal:  Clin Exp Metastasis       Date:  2022-02-04       Impact factor: 5.150

4.  Analysis of quantitative and semi-quantitative parameters of DCE-MRI in differential diagnosis of benign and malignant cervical tumors.

Authors:  Jun Song; Yong Gu; Tingting Du; Qiyu Liu
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

Review 5.  New Insights Into Oral Squamous Cell Carcinoma: From Clinical Aspects to Molecular Tumorigenesis.

Authors:  Shang-Hung Chen; Sheng-Yen Hsiao; Kwang-Yu Chang; Jang-Yang Chang
Journal:  Int J Mol Sci       Date:  2021-02-24       Impact factor: 5.923

6.  Ultrasound Elastography under Deep Learning Algorithm to Analyze the Therapeutic Effect of Clustered Regularly Interspaced Short Palindromic Repeats Short Hairpin Ribonucleic Acid Nanoparticles on Cervical Cancer.

Authors:  Minghui Li; Weiwei Li; Liang Zhao
Journal:  J Healthc Eng       Date:  2021-11-29       Impact factor: 2.682

  6 in total

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