Pharmacokinetic Parameters in CNS Gd-DTPA Enhanced MR Imaging

Brix, Gunnar; Semmler, Willi; Port, Ruediger E.; Schad, Lothar R.; Layer, G.; Lorenz, Walter J.

doi:10.1097/00004728-199107000-00018

Cited by 616 publications

(565 citation statements)

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“…The methods for DCE-MRI data processing can be divided into three types: Heuristic models (9 -14), pharmacokinetic models (15)(16)(17)(18)(19), and pattern analysis (20,21). Within each type there is a variety of derived models.…”

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confidence: 99%

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DCE‐MRI pixel‐by‐pixel quantitative curve pattern analysis and its application to osteosarcoma

Guo

Reddick

2009

Magnetic Resonance Imaging

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Purpose: To present a novel curve pattern analysis (CPA) method to characterize and quantify signal curves from the dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data without any prerequisites such as arterial input function (AIF) or T 1 measurement. Materials and Methods:CPA parameters represent characteristics of the scaled DCE signal curve. Simulations were performed to investigate the dependence of CPA parameters on T 1 , TR, and flip angle. In vivo studies were performed on five pediatric patients with osteosarcoma. Parametric maps were generated using the CPA method and a pharmacokinetic model-based method for comparison.Results: Simulations show that CPA parameters varied less than 2% when T 1 changed from 300 msec to 1500 msec, and less than 10% when the flip angle changed from 30°to 40°. Various curve patterns can be qualitatively identified and recognized from CPA parameter maps. Simulation and in vivo studies showed that the CPA parameter had a strong correlation with k ep , with correlation coefficients of 0.9983 in the simulation and 0.95 in the in vivo studies. Conclusion:A novel CPA method is presented. Simulations and in vivo studies showed that the CPA method provides a feasible alternative to quantifying DCE-MRI studies with possibly higher repeatability by minimizing variations potentially induced by AIF and T 1 estimations and model dependence.

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confidence: 99%

“…Pharmacokinetic models are widely used in DCE-MRI (15)(16)(17)(18)(19). After converting the dynamic signal to the contrast agent concentration, several pharmacokinetic parameters can be assessed on the basis of pharmacokinetic modeling.…”

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confidence: 99%

DCE‐MRI pixel‐by‐pixel quantitative curve pattern analysis and its application to osteosarcoma

Guo

Reddick

2009

Magnetic Resonance Imaging

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“…One is the shape of the curve and the other is how well the measured data fit the model curve. The shape of the curve is also conveyed by pharmacokinetic parameters (e.g., Kep Amp) (15)(16)(17), which can be color coded and overlaid on grayscale images, but the locally calculated values of the pharmacokinetic parameters may be irrelevant if the measured data do not fit the model curve well. Local GF information for the time-intensity curve is conveyed through auditory feedback while a reader draws a ROI.…”

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confidence: 99%

“…SS error is the summation of squared differences between measured data points and mathematically calculated ideal data points from the best fitting pharmacokinetic parameters (Amp, Kep, Kel) from two compartment modeling algorithm (16,17) for each pixel point. The pharmacokinetic parameters are estimated using the Levenberg-Marquardt curve-fitting algorithm.…”

Section: Discussionmentioning

confidence: 99%

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Improvement in the reproducibility of region of interest using an auditory feedback loop: A pilot assessment using dynamic contrast‐enhanced (DCE) breast MR images

Chun

Clymer

Sammet

et al. 2007

Magnetic Resonance Imaging

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Purpose:To augment traditional visual data perception of complex multiparametric imaging data sets by adding auditory feedback to improve the delineation of regions of interest (ROIs) in tumor assessment in dynamic contrastenhanced (DCE) MRI. Materials and Methods:In addition to conventional display methodologies, we have created an application window which interfaces with audio output using dynamically loadable sound modules, providing goodness of fit (GF) information through auditory feedback. We have assessed effectiveness of conveying sound information with three independent readers on eight DCE-MR breast image data sets. The assessment was based on either conventional visual only mode or combined visual plus auditory mode. For statistical comparison between two sensory approaches, interobserver repeatability was measured with three different criteria.Results: Adding auditory feedback improves repeatability significantly (P Ͻ 0.01), and the enhanced sensory approach had higher repeatability than visual only mode in visually complex breast tumor cases. However, in easy and moderate cases, visual only mode was more reproducible than the combined mode with very high significance (P Ͻ 0.001). Conclusion:Adding auditory information to visual based image analysis for identifying tumor ROIs provides higher interobserver repeatability for analyzing complex multidimensional/multiparametric medical image data sets with visually difficult lesions to delineate. TODAY'S ADVANCED IMAGING scanner systems generate multiparametric and multimodality (computed tomography [CT], MR, positron emission tomography [PET], ultrasound [US]) information in a short amount of time.It is important to simultaneously access and to coherently communicate with all these different types of image information for better lesion characterization and for more accurate and reliable diagnostic image analysis in many clinical applications. As the complexity and combination of different types of acquired imaging data increase, conveying this information to a human observer in a meaningful way for diagnostic purpose becomes a bottleneck.The traditional method of analyzing medical images solely relies on the visual perception system, using grayscale values and color overlays to represent composite imaging data or showing different types of image data in a side by side display regarding which the observer must be trained to mentally align corresponding positions in the image data sets. Furthermore, the visual representation of complex medical images is often limited by screen size, two-dimensional (2D) display of three-dimensional (3D) spatial information, image resolution, and the capacity of the human visual system. Therefore, it is not easy to quickly access valuable information due to the complexity of multiparametric imaging data sets and the limits of visual perception system.Dynamic contrast-enhanced MRI (DCE-MRI) is widely used as a powerful noninvasive clinical tool for the diagnosis of tumors and for therapy monitoring of a variety of treatment...

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Synergistic interaction of ultrasonic shock waves and hyperthermia in the dunning prostate tumor r3327-at1

et al. 1999

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Pulsed high‐energy ultrasound shock waves (PHEUS), similar to those used for clinical lithotripsy, can deposit energy deep in tissue and thereby destroy the microvasculature of solid tumors. We investigated the potential of PHEUS, generated by an electromagnetic shockwave source (19 kV capacitor voltage, 1 Hz pulse frequency), as a local cancer‐therapy modality alone and in combination with local tumor hyperthermia (43.5 ± 0.1°C, 30 min). Copenhagen rats transplanted with the anaplastic Dunning‐prostate‐tumor sub‐line R3327‐AT1 received 1000 PHEUS pulses, which delayed tumor growth by one tumor‐doubling time (5 days). Histopathology revealed hemorrhage, disruption of tumor vasculature, and necrosis in the focus of the sound field. Bromodeoxyuridine (BUdR) incorporation was significantly lower in PHEUS‐treated tumors than in controls. Dynamic magnetic resonance imaging (MRI) studies using gadolinium‐DTPA as contrast agent showed a strong reduction of tumor perfusion after PHEUS treatment, although this effect was partly reversible within 3 days after PHEUS. While hyperthermia alone produced no significant delay in tumor growth, the combination of PHEUS and hyperthermia produced tumor‐growth delay by 2 tumor‐volume‐doubling times. The maximum growth delay was achieved when PHEUS and hyperthermia were separated by 24 hr at the time of maximum perfusion reduction indicated by MRI. Thus, the cytotoxic effect of PHEUS was enhanced by hyperthermia in the anaplastic prostate tumor R3327‐AT1 grown on Copenhagen rats in a synergistic manner, due to blood‐flow reduction. In conjunction with other agents, such as hyperthermia, PHEUS might become a local cancer‐therapy modality in solid tumors accessible to ultrasound. Int. J. Cancer 82:84–91, 1999. © 1999 Wiley‐Liss, Inc.

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Pharmacokinetic Parameters in CNS Gd-DTPA Enhanced MR Imaging

Cited by 616 publications

References 0 publications

DCE‐MRI pixel‐by‐pixel quantitative curve pattern analysis and its application to osteosarcoma

DCE‐MRI pixel‐by‐pixel quantitative curve pattern analysis and its application to osteosarcoma

Improvement in the reproducibility of region of interest using an auditory feedback loop: A pilot assessment using dynamic contrast‐enhanced (DCE) breast MR images

Synergistic interaction of ultrasonic shock waves and hyperthermia in the dunning prostate tumor r3327-at1

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