Literature DB >> 9816027

Growth kinetics and treatment response of the intracerebral rat 9L brain tumor model: a quantitative in vivo study using magnetic resonance imaging.

B Kim1, T L Chenevert, B D Ross.   

Abstract

We report the use of magnetic resonance imaging (MRI) for in situ tumor growth rate studies of experimental intracranial 9L tumors. T2-weighted spin-echo coronal magnetic resonance images of rat brains with 9L tumors were obtained every 2 days beginning at 8-11 days postimplantation using a 7 tesla MRI system. Tumors were clearly delineated in the images as a hyperintense region with a relatively well-demarcated border and minimal peritumoral edema. Tumor volumes from individual slices were summed together to yield the total tumor volume. The accuracy of this methodology for volumetric determination was verified by MRI phantom studies. Tumor growth rates determined from sequential MRI measurements of tumor volumes were quantitated in terms of volumetric doubling time. Tumor doubling times were found to range from 50 to 81 h, with an average of 66 +/- 8 h (n = 10). Intracranial 9L tumors were found to grow exponentially over the entire life span of the animal, allowing treated animals to serve as their own controls since the volumetric doubling time could be determined from three to four MRI scans before treatment administration. The intracerebral tumor growth delay following a single injection of 1, 3-bis(2-chloroethyl)-1-nitrosourea (13.3 mg/kg i.p.) allowed for noninvasive determination of in vivo log cell kill. A 2.0 +/- 0.2 (n = 3) log cell kill from 1,3-bis(2-chloroethyl)-1-nitrosourea treatment was found from post-treatment MRI volume measurements. These results demonstrate that MRI provides a powerful and sensitive method for assessing the growth and treatment response of intracranial 9L tumors in the rat.

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Year:  1995        PMID: 9816027

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  12 in total

1.  Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients.

Authors:  Daniel C Colvin; Mary E Loveless; Mark D Does; Zou Yue; Thomas E Yankeelov; John C Gore
Journal:  Magn Reson Imaging       Date:  2010-12-28       Impact factor: 2.546

2.  Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Erin C Rericha; Vito Quaranta; Thomas E Yankeelov
Journal:  Phys Biol       Date:  2015-06-04       Impact factor: 2.583

3.  Contributions of cell kill and posttreatment tumor growth rates to the repopulation of intracerebral 9L tumors after chemotherapy: an MRI study.

Authors:  B D Ross; Y J Zhao; E R Neal; L D Stegman; M Ercolani; O Ben-Yoseph; T L Chenevert
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

4.  MRI of mouse models for gliomas shows similarities to humans and can be used to identify mice for preclinical trials.

Authors:  Jason A Koutcher; Xiaoyi Hu; Su Xu; Terence P F Gade; Norman Leeds; Xiaohong Joe Zhou; David Zagzag; Eric C Holland
Journal:  Neoplasia       Date:  2002 Nov-Dec       Impact factor: 5.715

Review 5.  Models for assessment of angiogenesis in gliomas.

Authors:  R H Goldbrunner; S Wagner; K Roosen; J C Tonn
Journal:  J Neurooncol       Date:  2000 Oct-Nov       Impact factor: 4.130

6.  In vivo magnetic resonance imaging of sodium and diffusion in rat glioma at 21.1 T.

Authors:  Victor D Schepkin; Fabian Calixto Bejarano; Thomas Morgan; Shannon Gower-Winter; Manuel Ozambela; Cathy W Levenson
Journal:  Magn Reson Med       Date:  2011-07-11       Impact factor: 4.668

7.  Early response of prostate carcinoma xenografts to docetaxel chemotherapy monitored with diffusion MRI.

Authors:  Dominique Jennings; B Nicholas Hatton; Jingyu Guo; Jean-Philippe Galons; Theodore P Trouard; Natarajan Raghunand; James Marshall; Robert J Gillies
Journal:  Neoplasia       Date:  2002 May-Jun       Impact factor: 5.715

8.  Sequential imaging and volumetric analysis of an intracerebral C6 glioma by means of a clinical MRI system.

Authors:  F A Raila; A P Bowles; E Perkins; A Terrell
Journal:  J Neurooncol       Date:  1999-05       Impact factor: 4.130

9.  MRI assessment of experimental gliomas using 17.6 T.

Authors:  Marc A Schwarz; Mirko Pham; Xavier Helluy; Arnd Doerfler; Tobias Engelhorn
Journal:  Neuroradiology       Date:  2013-03-10       Impact factor: 2.804

10.  Preclinical efficacy of the anti-hepatocyte growth factor antibody ficlatuzumab in a mouse brain orthotopic glioma model evaluated by bioluminescence, PET, and MRI.

Authors:  Erik S Mittra; Hua Fan-Minogue; Frank I Lin; Jason Karamchandani; Venkataraman Sriram; May Han; Sanjiv S Gambhir
Journal:  Clin Cancer Res       Date:  2013-08-27       Impact factor: 12.531

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