• World Neurosurg · Jun 2020

    Study on the diagnosis and nursing value of diffusion weighted MR imaging based on neuroendocrine analysis in radiotherapy of laryngeal cancer.

    • Weifen Meng, Yuhong Xu, Suhua Zheng, Mengjie Wang, Caiyan Ding, Chunjian Qi, and Jingyan Yue.
    • Cancer Center, Affiliated Changzhou No. 2 People's Hospital, Nanjing Medical University, Changzhou, China.
    • World Neurosurg. 2020 Jun 1; 138: 696-705.

    AbstractWe used 1.5T magnetic resonance imaging (MRI) to investigate the role of semiquantitative parameters related to dynamic contrast-enhanced (DCE)-MRI and the apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) in predicting and monitoring the efficacy of concurrent radiotherapy and chemotherapy for laryngeal cancer. The data from 58 patients with newly diagnosed laryngeal cancer who had been treated at our hospital from August 2016 to March 2018 were collected. The 58 patients included 56 men and 2 women, with a median age of 57 years. The pathologic examination of the biopsy specimens revealed squamous cell carcinoma. The time signal curve (TIC) of the tumor and related semiquantitative parameters was measured before, during (radiation dose, 50 Gy), and at the end of treatment (monitoring value after treatment). The results revealed that the TIC types and DCE-MRI-related semiquantitative parameters can predict the efficacy of concurrent chemoradiotherapy for laryngeal and hypopharyngeal cancer. Of the semiquantitative parameters, the signal enhancement ratio at 56 seconds had the greatest predictive value. Patients with TIC type I before treatment had a better prognosis than those with TIC type III. The pre-ADC value was not enough to predict the efficacy. The ADC value, DCE-MRI-related semiquantitative parameters, and their change before treatment had a certain effect in monitoring the changes in water molecule diffusion movement and hemodynamic changes after tumor treatment. However, these were not enough to predict the efficacy.Copyright © 2020 Elsevier Inc. All rights reserved.

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