Physiological noise in murine solid tumours using T2*-weighted gradient-echo imaging: a marker of tumour acute hypoxia?

T2*-weighted gradient-echo magnetic resonance imaging (T2*-weighted GRE MRI) was used to investigate spontaneous fluctuations in tumour vasculature non-invasively. FSa fibrosarcomas, implanted intramuscularly (i.m.) in the legs of mice, were imaged at 4.7 T, over a 30 min or 1 h sampling period. On a voxel-by-voxel basis, time courses of signal intensity were analysed using a power spectrum density (PSD) analysis to isolate voxels for which signal changes did not originate from Gaussian white noise or linear drift. Under baseline conditions, the tumours exhibited spontaneous signal fluctuations showing spatial and temporal heterogeneity over the tumour. Statistically significant fluctuations occurred at frequencies ranging from 1 cycle/3 min to 1 cycle/h. The fluctuations were independent of the scanner instabilities. Two categories of signal fluctuations were reported: (i) true fluctuations (TFV), i.e., sequential signal increase and decrease, and (ii) profound drop in signal intensity with no apparent signal recovery (SDV). No temporal correlation between tumour and contralateral muscle fluctuations was observed. Furthermore, treatments aimed at decreasing perfusion-limited hypoxia, such as carbogen combined with nicotinamide and flunarizine, decreased the incidence of tumour T2*-weighted GRE fluctuations. We also tracked dynamic changes in T2* using multiple GRE imaging. Fluctuations of T2* were observed; however, fluctuation maps using PSD analysis could not be generated reliably. An echo-time dependency of the signal fluctuations was observed, which is typical to physiological noise. Finally, at the end of T2*-weighted GRE MRI acquisition, a dynamic contrast-enhanced MRI was performed to characterize the microenvironment in which tumour signal fluctuations occurred in terms of vessel functionality, vascularity and microvascular permeability. Our data showed that TFV were predominantly located in regions with functional vessels, whereas SDV occurred in regions with no contrast enhancement as the result of vessel functional impairment. Furthermore, transient fluctuations appeared to occur preferentially in neoangiogenic hyperpermeable vessels. The present study suggests that spontaneous T2*-weighted GRE fluctuations are very likely to be related to the spontaneous fluctuations in blood flow and oxygenation associated with the pathophysiology of acute hypoxia in tumours. The disadvantage of the T2*-weighted GRE MRI technique is the complexity of signal interpretation with regard to pO2 changes. Compared to established techniques such as intravital microscopy or histological assessments, the major advantage of the MRI technique lies in its capacity to provide simultaneously both temporal and detailed spatial information on spontaneous fluctuations throughout the tumour.

[1]  Bernard Gallez,et al.  Cluster analysis of BOLD fMRI time series in tumors to study the heterogeneity of hemodynamic response to treatment , 2003, Magnetic resonance in medicine.

[2]  James B. Mitchell,et al.  Overhauser enhanced magnetic resonance imaging for tumor oximetry: Coregistration of tumor anatomy and tissue oxygen concentration , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  M. Dewhirst,et al.  Fourier analysis of fluctuations of oxygen tension and blood flow in R3230Ac tumors and muscle in rats. , 1999, American journal of physiology. Heart and circulatory physiology.

[4]  H. Withers,et al.  Immunological resistance to pulmonary metastases in C3Hf-Bu mice bearing syngeneic fibrosarcoma of different sizes. , 1974, Cancer research.

[5]  D. Chaplin,et al.  Intermittent blood flow in a murine tumor: radiobiological effects. , 1987, Cancer research.

[6]  Robert Oshana,et al.  1 – Introduction to Digital Signal Processing , 2006 .

[7]  G. Cokelet,et al.  Fluctuations in microvascular blood flow parameters caused by hemodynamic mechanisms. , 1994, The American journal of physiology.

[8]  D J Chaplin,et al.  The effect of nicotinamide on microregional blood flow within tumours assessed using laser Doppler probes. , 1995, Acta oncologica.

[9]  J. Bussink,et al.  ARCON: a novel biology-based approach in radiotherapy. , 2002, The Lancet. Oncology.

[10]  S. Van Cruchten,et al.  Morphological and biochemical aspects of apoptosis, oncosis and necrosis. , 2002 .

[11]  D. Hirst,et al.  Cinnarizine and flunarizine as radiation sensitisers in two murine tumours. , 1988, British Journal of Cancer.

[12]  Meiyappan Solaiyappan,et al.  Reduction of vascular and permeable regions in solid tumors detected by macromolecular contrast magnetic resonance imaging after treatment with antiangiogenic agent TNP-470. , 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.

[13]  M. Neeman,et al.  Analysis of subcutaneous angiogenesis by gradient echo magnetic resonance imaging , 1998, Magnetic resonance in medicine.

[14]  P. Carlier,et al.  Simultaneous measurement of perfusion and oxygenation changes using a multiple gradient-echo sequence: application to human muscle study. , 1998, Magnetic resonance imaging.

[15]  H. Al-Hallaq,et al.  Spectrally inhomogeneous BOLD contrast changes detected in rodent tumors with high spectral and spatial resolution MRI , 2002, NMR in biomedicine.

[16]  Dai Fukumura,et al.  Dissecting tumour pathophysiology using intravital microscopy , 2002, Nature Reviews Cancer.

[17]  M. Dewhirst,et al.  Fluctuations in red cell flux in tumor microvessels can lead to transient hypoxia and reoxygenation in tumor parenchyma. , 1996, Cancer research.

[18]  R. Jain,et al.  Intussusceptive microvascular growth in a human colon adenocarcinoma xenograft: a novel mechanism of tumor angiogenesis. , 1996, Microvascular research.

[19]  M. Trotter,et al.  The use of fluorescent probes to identify regions of transient perfusion in murine tumors. , 1989, International journal of radiation oncology, biology, physics.

[20]  H. Al-Hallaq,et al.  Using high spectral and spatial resolution bold MRI to choose the optimal oxygenating treatment for individual cancer patients. , 2003, Advances in experimental medicine and biology.

[21]  S M Evans,et al.  Quantification of longitudinal tissue pO2 gradients in window chamber tumours: impact on tumour hypoxia , 1999, British Journal of Cancer.

[22]  P. Tofts Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.

[23]  Bernard Gallez,et al.  How does blood oxygen level‐dependent (BOLD) contrast correlate with oxygen partial pressure (pO2) inside tumors? , 2002, Magnetic resonance in medicine.

[24]  J F Gross,et al.  Theoretical simulation of oxygen transport to tumors by three-dimensional networks of microvessels. , 1998, Advances in experimental medicine and biology.

[25]  F. Howe,et al.  The response to carbogen breathing in experimental tumour models monitored by gradient-recalled echo magnetic resonance imaging. , 1997, British Journal of Cancer.

[26]  R. Demeure,et al.  Changes in tumor oxygenation/perfusion induced by the no donor, isosorbide dinitrate, in comparison with carbogen: monitoring by EPR and MRI. , 2000, International journal of radiation oncology, biology, physics.

[27]  J. Gross,et al.  Dynamics of microvascular flow in implanted mouse mammary tumours. , 1977, Bibliotheca anatomica.

[28]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[29]  P. Antich,et al.  Tumor oximetry: demonstration of an enhanced dynamic mapping procedure using fluorine-19 echo planar magnetic resonance imaging in the Dunning prostate R3327-AT1 rat tumor. , 2001, International journal of radiation oncology, biology, physics.

[30]  S. Hill,et al.  Temporal heterogeneity in microregional erythrocyte flux in experimental solid tumours. , 1995, British Journal of Cancer.

[31]  G. Glover,et al.  Physiological noise in oxygenation‐sensitive magnetic resonance imaging , 2001, Magnetic resonance in medicine.

[32]  D M Shames,et al.  Assessment of a rapid clearance blood pool MR contrast medium (P792) for assays of microvascular characteristics in experimental breast tumors with correlations to histopathology , 2001, Magnetic resonance in medicine.

[33]  M. Knopp,et al.  Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.

[34]  R. Jain,et al.  A model for temporal heterogeneities of tumor blood flow. , 2003, Microvascular research.

[35]  Xiaobing Fan,et al.  New model for analysis of dynamic contrast‐enhanced MRI data distinguishes metastatic from nonmetastatic transplanted rodent prostate tumors , 2004, Magnetic resonance in medicine.

[36]  E. Rofstad,et al.  Temporal heterogeneity in oxygen tension in human melanoma xenografts , 2003, British Journal of Cancer.

[37]  M. Dewhirst,et al.  Microvascular studies on the origins of perfusion-limited hypoxia. , 1996, The British journal of cancer. Supplement.

[38]  F Frouin,et al.  Reduced capillary perfusion and permeability in human tumour xenografts treated with the VEGF signalling inhibitor ZD4190: an in vivo assessment using dynamic MR imaging and macromolecular contrast media. , 2003, Magnetic resonance imaging.

[39]  J. Duyn,et al.  Investigation of Low Frequency Drift in fMRI Signal , 1999, NeuroImage.

[40]  Ewald Moser,et al.  On the origin of respiratory artifacts in BOLD-EPI of the human brain. , 2002, Magnetic resonance imaging.

[41]  D. Chaplin,et al.  Acute hypoxia in tumors: implications for modifiers of radiation effects. , 1986, International journal of radiation oncology, biology, physics.

[42]  S. Ogawa Brain magnetic resonance imaging with contrast-dependent oxygenation , 1990 .

[43]  J Lautrou,et al.  Physicochemical and biological evaluation of P792, a rapid-clearance blood-pool agent for magnetic resonance imaging. , 2001, Investigative radiology.

[44]  R. Durand Intermittent Blood Flow in Solid Tumours – an under-appreciated Source of ‘drug Resistance’ , 2004, Cancer and Metastasis Reviews.

[45]  E. Rofstad,et al.  Radiobiological and immunohistochemical assessment of hypoxia in human melanoma xenografts: acute and chronic hypoxia in individual tumours. , 1999, International journal of radiation biology.

[46]  John G. Proakis,et al.  Introduction to Digital Signal Processing , 1988 .

[47]  K. Bennewith,et al.  Drug-induced alterations in tumour perfusion yield increases in tumour cell radiosensitivity , 2001, British Journal of Cancer.

[48]  E. Rofstad,et al.  Tumor-line specific pO(2) fluctuations in human melanoma xenografts. , 2004, International journal of radiation oncology, biology, physics.

[49]  M. Dewhirst,et al.  Concepts of oxygen transport at the microcirculatory level. , 1998, Seminars in radiation oncology.

[50]  W E Reddick,et al.  Evolution from empirical dynamic contrast-enhanced magnetic resonance imaging to pharmacokinetic MRI. , 2000, Advanced drug delivery reviews.

[51]  J R Griffiths,et al.  Issues in flow and oxygenation dependent contrast (FLOOD) imaging of tumours , 2001, NMR in biomedicine.

[52]  L. H. Gray,et al.  The Histological Structure of Some Human Lung Cancers and the Possible Implications for Radiotherapy , 1955, British Journal of Cancer.

[53]  M. Dewhirst,et al.  In vivo BOLD contrast MRI mapping of subcutaneous vascular function and maturation: Validation by intravital microscopy , 2001, Magnetic resonance in medicine.

[54]  A. Padhani,et al.  Reproducibility of dynamic contrast‐enhanced MRI in human muscle and tumours: comparison of quantitative and semi‐quantitative analysis , 2002, NMR in biomedicine.

[55]  R. Hill,et al.  Acute (cyclic) hypoxia enhances spontaneous metastasis of KHT murine tumors. , 2001, Cancer research.