Literature DB >> 20137885

Identification of local recurrence and radiofibrosis by computed tomography perfusion on nasopharyngeal carcinoma after radiotherapy.

Danke Su1, Guanqiao Jin, Dong Xie, Younan Liu.   

Abstract

PURPOSE: The aim of this study was to investigate the role of perfusion computed tomography (CT) for identification of local recurrence (LR) and radiofibrosis (RF) in patients with nasopharyngeal carcinoma after radiotherapy.
METHODS: Forty-eight prospective patients were recruited for this study. NPC diagnosis was confirmed by pathologic biopsy examination. Immunohistochemistry staining was used on biopsy specimens, and microvessel density was calculated by microscopy. Perfusion CT was performed on both the LR group (n = 31) and the RF group (n = 17) after intravenous injection of contrast medium. Time-density curve, blood flow, blood volume, and mean transit time, as well as permeability surface area product, were analyzed as perfusion CT parameters. The microvessel density was compared between both the LR and RF groups.
RESULTS: There is a significant difference between the LR and RF groups in microvessel density, the time density curve, blood flow blood volume, mean transit time, and the permeability surface area product (P < .01).
CONCLUSIONS: The results demonstrate that perfusion CT is a reliable and accurate method to identify LR and RF after radiotherapy in patients with nasopharyngeal carcinoma. Crown
Copyright © 2010. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20137885     DOI: 10.1016/j.carj.2009.11.009

Source DB:  PubMed          Journal:  Can Assoc Radiol J        ISSN: 0846-5371            Impact factor:   2.248


  1 in total

1.  A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography.

Authors:  Jian Wang; Rongjie Liu; Yu Zhao; Chonnipa Nantavithya; Hesham Elhalawani; Hongtu Zhu; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; Danita Kannarunimit; Pei Yang; Hong Zhu
Journal:  Transl Cancer Res       Date:  2020-08       Impact factor: 1.241

  1 in total

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