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Dive into the research topics where Thomas E. Yankeelov is active.

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Featured researches published by Thomas E. Yankeelov.


Magnetic Resonance in Medicine | 2003

Variation of the relaxographic “shutter‐speed” for transcytolemmal water exchange affects the CR bolus‐tracking curve shape

Thomas E. Yankeelov; William D. Rooney; Xin Li; Charles S. Springer

Contrast reagents (CRs) may enter the tissue interstitium for a period after a vascular bolus injection. As the amount of interstitial CR increases, the longitudinal relaxographic NMR “shutter‐speed” (T–1) for the equilibrium transcytolemmal water exchange process increases. The quantity T–1 is given by |r1o[CRo] + R1o0 – R1i| (where r1o and [CRo] represent the interstitial (extracellular) CR relaxivity and concentration, respectively, and R1o0 and R1i are the extra‐ and intracellular 1H2O relaxation rate constants, respectively, in the absence of exchange). The increase of T–1 with [CRo] causes the kinetics of the water exchange equilibrium to appear to decrease. Here, analytical theory for two‐site‐exchange processes is combined with that for pharmacokinetic CR delivery, extraction, and distribution in a method termed BOLus Enhanced Relaxation Overview (BOLERO©). The shutter‐speed effect alters the shape of the bolus‐tracking (B‐T) time‐course. It is shown that this is mostly accounted for by the inclusion of only one additional parameter, which measures the mean intracellular lifetime of a water molecule. Simulated and real data demonstrate that the effect of shutter‐speed variation on pharmacokinetic parameters can be very significant: neglecting this effect can lead to an underestimation of the parameter values by 50%. This phenomenon can be heterogeneous. Within a tiny gliosarcoma implanted in the rat brain, the interstitial CR in the tumor core never rises to a level sufficient to cause apparent slowing of the exchange process. However, within the few microns needed to reach the proliferating rim, this occurs to a significant degree. Thus, even relative pharmacokinetic quantities can be incorrectly represented in a parametric map that neglects this effect. The BOLERO analysis shows promise for in vivo vascular phenotyping in pathophysiology. It also includes a provision for approximating the separation of the perfusion and permeability contributions to CR extravasation. Magn Reson Med 50:1151–1169, 2003.


Nature Methods | 2008

Integrating spatially resolved three-dimensional MALDI IMS with in vivo magnetic resonance imaging

Tuhin K. Sinha; Sheerin Khatib-Shahidi; Thomas E. Yankeelov; Khubaib Mapara; Moneeb Ehtesham; D. Shannon Cornett; Benoit M. Dawant; Richard M. Caprioli; John C. Gore

We have developed a method for integrating three dimensional–volume reconstructions of spatially resolved matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) ion images of whole mouse heads with high-resolution images from other modalities in an animal-specific manner. This approach enabled us to analyze proteomic profiles from MALDI IMS data with corresponding in vivo data provided by magnetic resonance imaging.


Magnetic Resonance in Medicine | 2004

Simultaneous measurement of arterial input function and tumor pharmacokinetics in mice by dynamic contrast enhanced imaging: Effects of transcytolemmal water exchange

Rong Zhou; Stephen Pickup; Thomas E. Yankeelov; Charles S. Springer; Jerry D. Glickson

A noninvasive technique for simultaneous measurement of the arterial input function (AIF) for gadodiamide (Omniscan) and its uptake in tumor was demonstrated in mice. Implantation of a tumor at a suitable location enabled its visualization in a cardiac short axis image. Sets of gated, low‐resolution saturation recovery images were acquired from each of five tumor‐bearing mice following intravenous administration of a bolus of contrast agent (CA). The AIF was extracted from the signal intensity changes in left ventricular blood using literature values of the CA relaxivity and a precontrast T1 map. The time‐dependent 1H2O relaxation rate constant (R1 = 1/T1) in the tumor was modeled using the BOLus Enhanced Relaxation Overview (BOLERO) method in two modes regarding the equilibrium transcytolemmal water exchange system: 1) constraining it exclusively to the fast exchange limit (FXL) (the conventional assumption), and 2) allowing its transient departure from FXL and access to the fast exchange regime (FXR), thus designated FXL/FXR. The FXL/FXR analysis yielded better fittings than the FXL‐constrained analysis for data from the tumor rims, whereas the results based on the two modes were indistinguishable for data from the tumor cores. For the tumor rims, the values of Ktrans (the rate constant for CA transfer from the vasculature to the interstitium) and ve (volume fraction of the tissue extracellular and extravascular space) returned from FXL/FXR analysis are consistently greater than those from the FXL‐constrained analysis by a factor of 1.5 or more corresponding to a CA dose of 0.05 mmole/kg. Magn Reson Med 52:248–257, 2004.


NMR in Biomedicine | 2010

Characterization of tissue structure at varying length scales using temporal diffusion spectroscopy

John C. Gore; Junzhong Xu; Daniel C. Colvin; Thomas E. Yankeelov; Edward C. Parsons; Mark D. Does

The concepts, theoretical behavior and experimental applications of temporal diffusion spectroscopy are reviewed and illustrated. Temporal diffusion spectra are obtained using oscillating‐gradient waveforms in diffusion‐weighted measurements, and represent the manner in which various spectral components of molecular velocity correlations vary in different geometrical structures that restrict or hinder free movements. Measurements made at different gradient frequencies reveal information on the scale of restrictions or hindrances to free diffusion, and the shape of a spectrum reveals the relative contributions of spatial restrictions at different distance scales. Such spectra differ from other so‐called diffusion spectra which depict spatial frequencies and are defined at a fixed diffusion time. Experimentally, oscillating gradients at moderate frequency are more feasible for exploring restrictions at very short distances which, in tissues, correspond to structures smaller than cells. We describe the underlying concepts of temporal diffusion spectra and provide analytical expressions for the behavior of the diffusion coefficient as a function of gradient frequency in simple geometries with different dimensions. Diffusion in more complex model media that mimic tissues has been simulated using numerical methods. Experimental measurements of diffusion spectra have been obtained in suspensions of particles and cells, as well as in vivo in intact animals. An observation of particular interest is the increased contrast and heterogeneity observed in tumors using oscillating gradients at moderate frequency compared with conventional pulse gradient methods, and the potential for detecting changes in tumors early in their response to treatment. Computer simulations suggest that diffusion spectral measurements may be sensitive to intracellular structures, such as nuclear size, and that changes in tissue diffusion properties may be measured before there are changes in cell density. Copyright


Magnetic Resonance in Medicine | 2013

Amide proton transfer imaging of the breast at 3 T: Establishing reproducibility and possible feasibility assessing chemotherapy response

Adrienne N. Dula; Lori R. Arlinghaus; Richard D. Dortch; Blake E. Dewey; Jennifer G. Whisenant; Gregory D. Ayers; Thomas E. Yankeelov; Seth A. Smith

Chemical exchange saturation transfer imaging can generate contrast that is sensitive to amide protons associated with proteins and peptides (termed amide proton transfer, APT). In breast cancer, APT contrast may report on underlying changes in microstructural tissue composition. However, to date, there have been no developments or applications of APT chemical exchange saturation transfer to breast cancer. As a result, the aims of this study were to (i) experimentally explore optimal scan parameters for breast chemical exchange saturation transfer near the amide resonance at 3 T, (ii) establish the reliability of APT imaging of healthy fibroglandular tissue, and (iii) demonstrate preliminary results on APT changes in locally advanced breast cancer observed during the course of neoadjuvant chemotherapy. Chemical exchange saturation transfer measurements were experimentally optimized on cross‐linked bovine serum albumin phantoms, and the reliability of APT imaging was assessed in 10 women with no history of breast disease. The mean difference between test–retest APT values was not significantly different from zero, and the individual difference values were not dependent on the average APT value. The 95% confidence interval limits were ±0.70% (α = 0.05), and the repeatability was 1.91. APT measurements were also performed in three women before and after one cycle of chemotherapy. Following therapy, APT increased in the one patient with progressive disease and decreased in the two patients with a partial or complete response. Together, these results suggest that APT imaging may report on treatment response in these patients. Magn Reson Med, 2013.


Magnetic Resonance Imaging | 2011

Magnetic resonance in the era of molecular imaging of cancer.

John C. Gore; H. Charles Manning; C. Chad Quarles; Kevin W. Waddell; Thomas E. Yankeelov

Magnetic resonance imaging (MRI) has played an important role in the diagnosis and management of cancer since it was first developed, but other modalities also continue to advance and provide complementary information on the status of tumors. In the future, there will be a major continuing role for noninvasive imaging in order to obtain information on the location and extent of cancer, as well as assessments of tissue characteristics that can monitor and predict treatment response and guide patient management. Developments are currently being undertaken that aim to provide improved imaging methods for the detection and evaluation of tumors, for identifying important characteristics of tumors such as the expression levels of cell surface receptors that may dictate what types of therapy will be effective and for evaluating their response to treatments. Molecular imaging techniques based mainly on radionuclide imaging can depict numerous, specific, cellular and molecular markers of disease and have unique potential to address important clinical and research challenges. In this review, we consider what continuing and evolving roles will be played by MRI in this era of molecular imaging. We discuss some of the challenges for MRI of detecting imaging agents that report on molecular events, but highlight also the ability of MRI to assess other features such as cell density, blood flow and metabolism which are not specific hallmarks of cancer but which reflect molecular changes. We discuss the future role of MRI in cancer and describe the use of selected quantitative imaging techniques for characterizing tumors that can be translated to clinical applications, particularly in the context of evaluating novel treatments.


Magnetic Resonance in Medicine | 2007

Comparison of a reference region model with direct measurement of an AIF in the analysis of DCE-MRI data

Thomas E. Yankeelov; Greg O. Cron; Christina L. Addison; Julia C. Wallace; Ruth C. Wilkins; Bruce A. Pappas; Giles E. Santyr; John C. Gore

Models have been developed for analyzing dynamic contrast‐enhanced (DCE)‐MRI data that do not require measurements of the arterial input function (AIF). In this study, experimental results obtained from a reference region (RR) analysis are compared with results of an AIF analysis in the same set of five animals (four imaged twice, yielding nine data sets), returning estimates of the volume transfer constant (Ktrans) and the extravascular extracellular volume fraction (ve). Students t‐test values for comparisons of Ktrans and ve between the two models were 0.14 (P = 0.88) and 0.85 (P > 0.4), respectively (where the high P‐values indicate no significant difference between values derived from the two models). Linear regression analysis indicated there was a correlation between Ktrans extracted by the two methods: r2 = 0.80, P = 0.001 (where the low P‐value indicates a significant linear correlation). For ve there was no such correlation (r2 = 0.02). The mean (absolute) percent difference between the models was 22.0% for Ktrans and 28.1% for ve. However, the RR parameter values were much less precise than the AIF method. The mean SDs for Ktrans and ve for the RR analysis were 0.024 min–1 and 0.06, respectively, vs. 0.002 min–1 and 0.03 for AIF analysis. Magn Reson Med 57:353–361, 2007.


Magnetic Resonance Imaging | 2012

Simultaneous PET-MRI in Oncology: A Solution Looking for a Problem?

Thomas E. Yankeelov; Todd E. Peterson; Richard G. Abramson; David Garcia-Izquierdo; Lori R. Arlinghaus; Xia Li; Nkiruka C. Atuegwu; Ciprian Catana; H. Charles Manning; Zahi A. Fayad; John C. Gore

With the recent development of integrated positron emission tomography-magnetic resonance imaging (PET-MRI) scanners, new possibilities for quantitative molecular imaging of cancer are realized. However, the practical advantages and potential clinical benefits of the ability to record PET and MRI data simultaneously must be balanced against the substantial costs and other requirements of such devices. In this review, we highlight several of the key areas where integrated PET-MRI measurements, obtained simultaneously, are anticipated to have a significant impact on clinical and/or research studies. These areas include the use of MR-based motion corrections and/or a priori anatomical information for improved reconstruction of PET data, improved arterial input function characterization for PET kinetic modeling, the use of dual-modality contrast agents, and patient comfort and practical convenience. For widespread acceptance, a compelling case could be made if the combination of quantitative MRI and specific PET biomarkers significantly improves our ability to assess tumor status and response to therapy, and some likely candidates are now emerging. We consider the relative advantages and disadvantages afforded by PET-MRI and summarize current opinions and evidence as to the likely value of PET-MRI in the management of cancer.


Magnetic Resonance in Medicine | 2005

Shutter-speed analysis of contrast reagent bolus-tracking data: Preliminary observations in benign and malignant breast disease

Xin Li; Wei Huang; Thomas E. Yankeelov; Alina Tudorica; William D. Rooney; Charles S. Springer

The standard pharmacokinetic model applied to contrast reagent (CR) bolus‐tracking (B‐T) MRI (dynamic‐contrast‐enhanced) data makes the intrinsic assumption that equilibrium transcytolemmal water molecule exchange is effectively infinitely fast. Theory and simulation have suggested that this assumption can lead to significant errors. Recent analyses of animal model experimental data have confirmed two predicted signature inadequacies: a specific temporal mismatch with the B‐T time‐course and a CR dose‐dependent underestimation of model parameters. The most parsimonious adjustment to account for this aspect leads to the “shutter‐speed” pharmacokinetic model. Application of the latter to the animal model data mostly eliminates the two signature inadequacies. Here, the standard and shutter‐speed models are applied to B‐T data obtained from routine human breast examinations. The signature standard model temporal mismatch is found for each of the three invasive ductal carcinoma (IDC) cases and for each of the three fibroadenoma (FA) cases studied. It is effectively eliminated by use of the shutter‐speed model. The size of the mismatch is considerably greater for the IDC lesions than for the FA lesions, causing the shutter‐speed model to exhibit improved discrimination of malignant IDC tumors from the benign FA lesions compared with the standard model. Furthermore, the shutter‐speed model clearly reveals focal “hot spots” of elevated CR perfusion/permeation present in only the malignant tumors. Magn Reson Med 53:724–729, 2005.


Journal of Magnetic Resonance Imaging | 2006

Repeatability of a reference region model for analysis of murine DCE‐MRI data at 7T

Thomas E. Yankeelov; Laura M. DeBusk; Dean Billheimer; Jeffrey J. Luci; P. Charles Lin; Ronald R. Price; John C. Gore

To test the repeatability of a reference region (RR) model for the analysis of dynamic contrast‐enhanced MRI (DCE‐MRI) in a mouse model of cancer at high field.

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Xia Li

Vanderbilt University

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Stephanie L. Barnes

University of Texas at Austin

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Anna G. Sorace

University of Texas at Austin

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David A. Hormuth

University of Texas at Austin

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