Literature DB >> 22314928

Is apparent diffusion coefficient reliable and accurate for monitoring effects of antiangiogenic treatment in a longitudinal study?

Ji-Yeon Suh1, Gyunggoo Cho, Youngkyu Song, Chang Kyung Lee, Jong Soon Kang, Moo Rim Kang, Sung Bin Park, Young Ro Kim, Jeong Kon Kim.   

Abstract

PURPOSE: To evaluate the reliability and accuracy of the apparent diffusion coefficient (ADC) for monitoring antiangiogenic treatment in a longitudinal study.
MATERIALS AND METHODS: Tumor volume and ADC were monitored by T2-weighted magnetic resonance imaging (MRI) and diffusion-weighted MRI, respectively, in 18 mice with angiogenesis-dependent tumors (U118MG) before (day 0) and after 2, 7, 14, and 21 days of administration of the antiangiogenic agent sunitinib maleate (n = 12) or vehicle (n = 6). Percent changes in tumor volume and ADC were calculated and correlations between tumor volume and ADC were evaluated.
RESULTS: Tumor volume and ADC showed a negative correlation at 69 of the 72 (96%) follow-up measurements. In the 13 mice with tumor regrowth, ADC started to decrease before (27%) or at the same time (73%) as tumor regrowth. Pretreatment ADC and percent change in ADC change on days 0-2 were similar in mice with positive and negative responses to treatment (0.851 vs. 0.999, 24% vs. 16%). Percent change of ADC showed significant negative correlation with percent change in tumor volume in both the control (r = -0.69) and treated (r = -0.65) groups.
CONCLUSION: Percent change in ADC is a reliable and accurate marker for monitoring the effects of antiangiogenic treatment, whereas pretreatment ADC and early changes in ADC (ie, days 0-2) are limited in predicting treatment outcome.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22314928     DOI: 10.1002/jmri.23574

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


  5 in total

1.  MRI biomarkers identify the differential response of glioblastoma multiforme to anti-angiogenic therapy.

Authors:  Shahrzad Jalali; Caroline Chung; Warren Foltz; Kelly Burrell; Sanjay Singh; Richard Hill; Gelareh Zadeh
Journal:  Neuro Oncol       Date:  2014-04-23       Impact factor: 12.300

2.  Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer.

Authors:  Jennifer G Whisenant; Gregory D Ayers; Mary E Loveless; Stephanie L Barnes; Daniel C Colvin; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2013-12-14       Impact factor: 2.546

3.  Comparing primary tumors and metastatic nodes in head and neck cancer using intravoxel incoherent motion imaging: a preliminary experience.

Authors:  Yonggang Lu; Jacobus F A Jansen; Hilda E Stambuk; Gaorav Gupta; Nancy Lee; Mithat Gonen; Andre Moreira; Yousef Mazaheri; Snehal G Patel; Joseph O Deasy; Jatin P Shah; Amita Shukla-Dave
Journal:  J Comput Assist Tomogr       Date:  2013 May-Jun       Impact factor: 1.826

4.  Apparent diffusion coefficient is highly reproducible on preclinical imaging systems: Evidence from a seven-center multivendor study.

Authors:  Sabrina Doblas; Gilberto S Almeida; François-Xavier Blé; Philippe Garteiser; Benjamin A Hoff; Dominick J O McIntyre; Lydia Wachsmuth; Thomas L Chenevert; Cornelius Faber; John R Griffiths; Andreas H Jacobs; David M Morris; James P B O'Connor; Simon P Robinson; Bernard E Van Beers; John C Waterton
Journal:  J Magn Reson Imaging       Date:  2015-05-26       Impact factor: 4.813

5.  The Apparent Diffusion Coefficient of Diffusion-Weighted Whole-Body Magnetic Resonance Imaging Affects the Survival of Multiple Myeloma Independently.

Authors:  Bei Zhang; Bingyang Bian; Yanjiao Zhang; Li Zhang; Rongkui Zhang; Jiping Wang
Journal:  Front Oncol       Date:  2022-03-04       Impact factor: 6.244

  5 in total

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