Literature DB >> 25979041

Dynamic contrast-enhanced MR microscopy identifies regions of therapeutic response in a preclinical model of colorectal adenocarcinoma.

Ergys Subashi1, Yi Qi2, G Allan Johnson2.   

Abstract

PURPOSE: A typical dynamic contrast-enhanced (DCE)-MRI study often compares the derived pharmacokinetic parameters on manually selected tumor regions or over the entire tumor volume. These measurements include domains where the interpretation of the biomarkers may be unclear (such as in necrotic areas). Here, the authors describe a technique for increasing the sensitivity and specificity of DCE-MRI by identifying tumor regions with a variable response to therapy.
METHODS: Two cohorts (n = 8/group) of nu/nu mice with LS-174T implanted in the mammary fat pad were imaged at five time points over four weeks. The treatment/control group received bevacizumab/saline at a dose of 5 mg/kg or 5 ml/kg twice weekly; imaging experiments were performed weekly. MR images were acquired at an isotropic resolution of 156 μm(3)(2.4 nl) and with a sampling rate of 9.9 s. The histogram of the time-to-peak (TTP) was used to identify two (fast- and slow-enhancing) regions based on a threshold of TTP = 1000 s. The regions were correlated with histology, and the effect of therapy was locally examined.
RESULTS: Tumors in the treatment group had a significantly longer doubling time. The regions defined by thresholding the TTP histogram identified two distinct domains correlating significantly with tumor permeability and microvessel density. In the fast-enhancing region, the mean permeability constant (K(trans)) was significantly lower in the treatment group at day 9; in the slow-enhancing region, K(trans) was not different between the control and treatment groups. At day 9, the relative volume of the fast-enhancing region was significantly lower in the treatment group, while that of the slow-enhancing region was significantly higher.
CONCLUSIONS: Two regions with distinct kinetic parameters were identified based on the histogram of TTP. The effect of bevacizumab, as measured by a decrease in K(trans), was confined to one of these regions. High spatiotemporal resolution MR studies may contribute unique insights into the response of the tumor microenvironment to therapy.

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Year:  2015        PMID: 25979041      PMCID: PMC4409627          DOI: 10.1118/1.4917525

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  28 in total

1.  Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Authors:  C K Kuhl; P Mielcareck; S Klaschik; C Leutner; E Wardelmann; J Gieseke; H H Schild
Journal:  Radiology       Date:  1999-04       Impact factor: 11.105

2.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

3.  Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Kenya Murase
Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

4.  Molecular imaging in cancer.

Authors:  Ralph Weissleder
Journal:  Science       Date:  2006-05-26       Impact factor: 47.728

Review 5.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

6.  Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data.

Authors:  Radka Stoyanova; Kris Huang; Kiri Sandler; Hyungjoon Cho; Sean Carlin; Pat B Zanzonico; Jason A Koutcher; Ellen Ackerstaff
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

7.  Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time.

Authors:  Milica Medved; Greg Karczmar; Cheng Yang; James Dignam; Thomas F Gajewski; Hedy Kindler; Everett Vokes; Peter MacEneany; Myrosia T Mitchell; Walter M Stadler
Journal:  J Magn Reson Imaging       Date:  2004-07       Impact factor: 4.813

Review 8.  Current pathologic methods for measuring intratumoral microvessel density within breast carcinoma and other solid tumors.

Authors:  N Weidner
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

9.  Salivary gland tumors: diagnostic value of gadolinium-enhanced dynamic MR imaging with histopathologic correlation.

Authors:  Hidetake Yabuuchi; Tatsuro Fukuya; Tsuyoshi Tajima; Yoichi Hachitanda; Kichinobu Tomita; Mitsuru Koga
Journal:  Radiology       Date:  2003-02       Impact factor: 11.105

10.  Use of dynamic contrast-enhanced MRI to evaluate acute treatment with ZD6474, a VEGF signalling inhibitor, in PC-3 prostate tumours.

Authors:  D Checkley; J J Tessier; J Kendrew; J C Waterton; S R Wedge
Journal:  Br J Cancer       Date:  2003-11-17       Impact factor: 7.640

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  2 in total

1.  Does perfusion computed tomography correlate to pathology in colorectal liver metastases?

Authors:  M J van Amerongen; A M Vos; W van der Woude; I D Nagtegaal; J H W de Wilt; J J Fütterer; J J Hermans
Journal:  PLoS One       Date:  2021-01-26       Impact factor: 3.240

2.  Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.

Authors:  Kooresh I Shoghi; Cristian T Badea; Stephanie J Blocker; Thomas L Chenevert; Richard Laforest; Michael T Lewis; Gary D Luker; H Charles Manning; Daniel S Marcus; Yvonne M Mowery; Stephen Pickup; Ann Richmond; Brian D Ross; Anna E Vilgelm; Thomas E Yankeelov; Rong Zhou
Journal:  Tomography       Date:  2020-09
  2 in total

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