Literature DB >> 34002429

Diffusion-weighted and dynamic contrast-enhanced MRI to assess radiation therapy response for head and neck paragangliomas.

Yoshiaki Ota1, Eric Liao1, Ryo Kurokawa1, Faiz Syed1, Akira Baba1, Mariko Kurokawa1, Toshio Moritani1, Ashok Srinivasan1.   

Abstract

BACKGROUND AND
PURPOSE: The prediction of radiotherapy outcome in head and neck paragangliomas is clinically important. We investigated perfusion and diffusion markers for evaluation of response to radiotherapy of head and neck paragangliomas.
METHODS: We retrospectively reviewed 330 consecutive patients from January 2016 to September 2019 with suspected head and neck paragangliomas, and enrolled 11 patients (2 males, 9 females; age: 55.2 ± 10.3 years) who had conventional MRI and dynamic contrast-enhanced (DCE)-MRI before and after radiation therapy. Radiation therapy, consisting of external beam radiotherapy or stereotactic radiotherapy, was conducted at the radiation oncology department in a single center. Mean apparent diffusion coefficient (ADC), normalized mean ADC, and parameters of DCE-MRI were compared between pre- and post-treatment status by paired t-test. The Pearson correlation coefficient was used for the relationship between tumor volume ratio (post-treatment status/pre-treatment status) and pre-treatment and post-treatment values.
RESULTS: Mean and normalized ADC values were statistically higher in post-treatment status than pre-treatment status (p = 0.005, p = 0.005, respectively), and Ktrans (volume transfer constant between extravascular, extracellular space [EES], and blood plasma per minute) and Kep (rate transfer constant between EES and blood plasma per minute) were significantly lower in post-treatment status than pre-treatment status (p = 0.007, p = 0.027, respectively). The correlation coefficient of the relationship between tumor volume ratio and pre-treatment Ktrans (r = 0.70; p = 0.016) and between tumor volume ratio and post-treatment Ktrans and Kep (r = 0.83; p = 0.002, r = 0.8; p = 0.003, respectively) was statistically significant.
CONCLUSIONS: Ktrans has predictive potential to predict the response to radiation therapy of head and neck paragangliomas.
© 2021 American Society of Neuroimaging.

Entities:  

Keywords:  DCE-MRI; DWI; head and neck; paraganglioma; radiation therapy

Year:  2021        PMID: 34002429     DOI: 10.1111/jon.12875

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  5 in total

1.  Prediction of Wound Failure in Patients with Head and Neck Cancer Treated with Free Flap Reconstruction: Utility of CT Perfusion and MR Perfusion in the Early Postoperative Period.

Authors:  Y Ota; A G Moore; M E Spector; K Casper; C Stucken; K Malloy; R Lobo; A Baba; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-03-31       Impact factor: 3.825

2.  Normalized Parameters of Dynamic Contrast-Enhanced Perfusion MRI and DWI-ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer.

Authors:  A Baba; R Kurokawa; E Rawie; M Kurokawa; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-07-14       Impact factor: 4.966

3.  Differentiation of Skull Base Chondrosarcomas, Chordomas, and Metastases: Utility of DWI and Dynamic Contrast-Enhanced Perfusion MR Imaging.

Authors:  Y Ota; E Liao; A A Capizzano; A Baba; R Kurokawa; M Kurokawa; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-08-11       Impact factor: 4.966

4.  Diagnostic Role of Diffusion-Weighted and Dynamic Contrast-Enhanced Perfusion MR Imaging in Paragangliomas and Schwannomas in the Head and Neck.

Authors:  Y Ota; E Liao; A A Capizzano; R Kurokawa; J R Bapuraj; F Syed; A Baba; T Moritani; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2021-08-26       Impact factor: 4.966

5.  Intracranial paragangliomas versus schwannomas: Role of dynamic susceptibility contrast perfusion and diffusion MRI.

Authors:  Yoshiaki Ota; Eric Liao; Aristides A Capizzano; Akira Baba; Ryo Kurokawa; Mariko Kurokawa; Ashok Srinivasan
Journal:  J Neuroimaging       Date:  2022-05-12       Impact factor: 2.324

  5 in total

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