Literature DB >> 35835592

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

A Baba1, R Kurokawa2, E Rawie3, M Kurokawa2, Y Ota2, A Srinivasan2.   

Abstract

BACKGROUND AND
PURPOSE: Differentiating recurrence from benign posttreatment changes has clinical importance in the imaging follow-up of head and neck cancer. This study aimed to investigate the utility of normalized dynamic contrast-enhanced MR imaging and ADC for their differentiation.
MATERIALS AND METHODS: This study included 51 patients with a history of head and neck cancer who underwent follow-up dynamic contrast-enhanced MR imaging with DWI-ADC, of whom 25 had recurrences and 26 had benign posttreatment changes. Quantitative and semiquantitative dynamic contrast-enhanced MR imaging parameters and ADC of the ROI and reference region were analyzed. Normalized dynamic contrast-enhanced MR imaging parameters and normalized DWI-ADC parameters were calculated by dividing the ROI by the reference region.
RESULTS: Normalized plasma volume, volume transfer constant between extravascular extracellular space and blood plasma per minute (K trans), area under the curve, and wash-in were significantly higher in patients with recurrence than in those with benign posttreatment change (P = .003 to <.001). The normalized mean ADC was significantly lower in patients with recurrence than in those with benign posttreatment change (P < .001). The area under the receiver operating characteristic curve of the combination of normalized dynamic contrast-enhanced MR imaging parameters with significance (normalized plasma volume, normalized extravascular extracellular space volume per unit tissue volume, normalized K trans, normalized area under the curve, and normalized wash-in) and normalized mean ADC was 0.97 (95% CI, 0.93-1).
CONCLUSIONS: Normalized dynamic contrast-enhanced MR imaging parameters, normalized mean ADC, and their combination were effective in differentiating recurrence and benign posttreatment changes in head and neck cancer.
© 2022 by American Journal of Neuroradiology.

Entities:  

Year:  2022        PMID: 35835592      PMCID: PMC9575415          DOI: 10.3174/ajnr.A7567

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   4.966


  26 in total

1.  Pharmacokinetic analysis based on dynamic contrast-enhanced MRI for evaluating tumor response to preoperative therapy for oral cancer.

Authors:  Toru Chikui; Erina Kitamoto; Shintaro Kawano; Tsuyoshi Sugiura; Makoto Obara; Arjan W Simonetti; Masamitsu Hatakenaka; Yoshio Matsuo; Shoichi Koga; Masahiro Ohga; Katsumasa Nakamura; Kazunori Yoshiura
Journal:  J Magn Reson Imaging       Date:  2012-05-30       Impact factor: 4.813

Review 2.  Essentials on Oncological Imaging: Postoperative Computed Tomography and Magnetic Resonance Imaging of Oral Tongue Cancer.

Authors:  Akira Baba; Hiroya Ojiri; Koshi Ikeda; Hideomi Yamauchi; Nobuhiro Ogino; Yuki Seto; Yuko Kobashi; Shinji Yamazoe; Takuji Mogami
Journal:  Can Assoc Radiol J       Date:  2018-11       Impact factor: 2.248

3.  Automatic selection of arterial input function using cluster analysis.

Authors:  Kim Mouridsen; Søren Christensen; Louise Gyldensted; Leif Ostergaard
Journal:  Magn Reson Med       Date:  2006-03       Impact factor: 4.668

4.  Value of diffusion MR imaging in differentiation of recurrent head and neck malignancies from post treatment changes.

Authors:  Ankush Jajodia; Deepa Aggarwal; Arvind K Chaturvedi; Avinash Rao; Vivek Mahawar; Munish Gairola; Mudit Agarwal; Sumit Goyal; Venkata Pradeep Babu Koyyala; Sunil Pasricha; Rupal Tripathi
Journal:  Oral Oncol       Date:  2019-07-15       Impact factor: 5.337

5.  Differentiation of Benign and Malignant Head and Neck Lesions With Diffusion Tensor Imaging and DWI.

Authors:  Nicholas A Koontz; Richard H Wiggins
Journal:  AJR Am J Roentgenol       Date:  2017-02-28       Impact factor: 3.959

6.  Posttreatment CT and MR imaging in head and neck cancer: what the radiologist needs to know.

Authors:  Naoko Saito; Rohini N Nadgir; Mitsuhiko Nakahira; Masahiro Takahashi; Akira Uchino; Fumiko Kimura; Minh Tam Truong; Osamu Sakai
Journal:  Radiographics       Date:  2012 Sep-Oct       Impact factor: 5.333

7.  MRI with DWI for the Detection of Posttreatment Head and Neck Squamous Cell Carcinoma: Why Morphologic MRI Criteria Matter.

Authors:  A Ailianou; P Mundada; T De Perrot; M Pusztaszieri; P-A Poletti; M Becker
Journal:  AJNR Am J Neuroradiol       Date:  2018-02-15       Impact factor: 3.825

8.  Dynamic contrast-enhanced magnetic resonance imaging in radiotherapeutic efficacy in the head and neck tumors.

Authors:  Noriaki Tomura; Koichi Omachi; Ikuo Sakuma; Satoshi Takahashi; Junichi Izumi; Osamu Watanabe; Jiro Watarai; Masato Sageshima
Journal:  Am J Otolaryngol       Date:  2005 May-Jun       Impact factor: 1.808

9.  ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer: A Systematic Review and Meta-analysis.

Authors:  A Baba; R Kurokawa; M Kurokawa; O Hassan; Y Ota; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-02-24       Impact factor: 3.825

10.  An exploratory study into the role of dynamic contrast-enhanced magnetic resonance imaging or perfusion computed tomography for detection of intratumoral hypoxia in head-and-neck cancer.

Authors:  Kate Newbold; Isabel Castellano; Elizabeth Charles-Edwards; Dorothy Mears; Aslam Sohaib; Martin Leach; Peter Rhys-Evans; Peter Clarke; Cyril Fisher; Kevin Harrington; Christopher Nutting
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-11-25       Impact factor: 7.038

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