Literature DB >> 22649040

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

Toru Chikui1, Erina Kitamoto, Shintaro Kawano, Tsuyoshi Sugiura, Makoto Obara, Arjan W Simonetti, Masamitsu Hatakenaka, Yoshio Matsuo, Shoichi Koga, Masahiro Ohga, Katsumasa Nakamura, Kazunori Yoshiura.   

Abstract

PURPOSE: To evaluate whether a pharmacokinetic analysis is useful for monitoring the response of oral cancer to chemoradiotherapy (CRT).
MATERIALS AND METHODS: Twenty-nine patients were included. They underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) before and after CRT. The DCE-MRI data were analyzed using a Tofts and Kermode (TK) model. The histological evaluation of the effects of CRT was performed according to Ohboshi and Shimosato's classification.
RESULTS: None of the pre-CRT parameters were significantly different between the responders and nonresponders. The post-CRT volume of the extravascular extracellular space (EES) per unit volume of tissue (v(e) ) of responders (0.397 ± 0.080) was higher than that of nonresponders (0.281 ± 0.076) (P = 0.01). The change of the v(e) between the pre- and post-CRT of the responders (0.154 ± 0.093) was larger than that of the nonresponders (0.033 ± 0.073) (P = 0.001). Therefore, the increase in the v(e) strongly suggested a good tumor response to CRT, which reflected an increase of the EES secondary to the destruction of the cancer nest. The changes in the volume transfer constant (K(trans) ) were significantly different between the responders and nonresponders (P = 0.018).
CONCLUSION: Both the increase of the v(e) and the elevation of permeability (K(trans) ) were indicative of a good tumor response to CRT. The pharmacokinetic analysis had potential for monitoring the histopathological response to CRT.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22649040     DOI: 10.1002/jmri.23704

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 in total

1.  Dynamic contrast-enhanced MRI of oral squamous cell carcinoma: a preliminary study of the correlations between quantitative parameters and the clinical stage.

Authors:  T Chikui; E Kitamoto; Y Kami; S Kawano; K Kobayashi; T Kamitani; M Obara; K Yoshiura
Journal:  Br J Radiol       Date:  2015-04-23       Impact factor: 3.039

2.  Dynamic contrast-enhanced MRI for advanced esophageal cancer response assessment after concurrent chemoradiotherapy.

Authors:  Na-Na Sun; Chang Liu; Xiao-Lin Ge; Jie Wang
Journal:  Diagn Interv Radiol       Date:  2018-07       Impact factor: 2.630

Review 3.  Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers.

Authors:  Jing Yuan; Gladys Lo; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2016-08

4.  Histogram analysis of DCE-MRI for chemoradiotherapy response evaluation in locally advanced esophageal squamous cell carcinoma.

Authors:  Na-Na Sun; Xiao-Lin Ge; Xi-Sheng Liu; Lu-Lu Xu
Journal:  Radiol Med       Date:  2019-10-11       Impact factor: 3.469

Review 5.  Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer: Techniques and Clinical Applications.

Authors:  S Gaddikeri; R S Gaddikeri; T Tailor; Y Anzai
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

6.  Detection of Local Recurrence in Patients with Head and Neck Squamous Cell Carcinoma Using Voxel-Based Color Maps of Initial and Final Area under the Curve Values Derived from DCE-MRI.

Authors:  J Y Lee; K L Cheng; J H Lee; Y J Choi; H W Kim; Y S Sung; S R Chung; K H Ryu; M S Chung; S Y Kim; S-W Lee; J H Baek
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-18       Impact factor: 3.825

7.  Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.

Authors:  Stephanie L Barnes; Anna G Sorace; Mary E Loveless; Jennifer G Whisenant; Thomas E Yankeelov
Journal:  NMR Biomed       Date:  2015-08-30       Impact factor: 4.044

8.  Radiation-induced CT number changes in GTV and parotid glands during the course of radiation therapy for nasopharyngeal cancer.

Authors:  Shouping Xu; Zhaoxia Wu; Cungeng Yang; Lin Ma; Baolin Qu; Guangpei Chen; Weirong Yao; Shi Wang; Yaqiang Liu; X Allen Li
Journal:  Br J Radiol       Date:  2016-04-01       Impact factor: 3.039

9.  Prediction of chemotherapeutic response in bladder cancer using K-means clustering of dynamic contrast-enhanced (DCE)-MRI pharmacokinetic parameters.

Authors:  Huyen T Nguyen; Guang Jia; Zarine K Shah; Kamal Pohar; Amir Mortazavi; Debra L Zynger; Lai Wei; Xiangyu Yang; Daniel Clark; Michael V Knopp
Journal:  J Magn Reson Imaging       Date:  2014-06-19       Impact factor: 4.813

Review 10.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

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