Optimization of dual-energy subtraction for preclinical studies using a commercial MicroCT unit

Castillo, Jorge P.; Corona-Nieblas, Leopoldo; Berumen, Francisco; Ayala-Domínguez, Lízbeth; Medina, Luis Alberto; Brandan, M. E.

doi:10.1063/1.4954125

Cited by 6 publications

(4 citation statements)

References 18 publications

(14 reference statements)

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“…The aim of this work was to systematically quantify radiological imaging parameters with SE, DE, and DCE techniques, and to evaluate their correlation with histological biomarkers of angiogenesis in a subcutaneous C6 glioma model. In order to obtain reliable quantitative imaging parameters, we used SE, DE, and DCE imaging protocols that were previously standardized and optimized [ 25 , 26 , 27 ]. Our results showed that CE X-ray imaging improved the visualization of the tumor regions.…”

Section: Discussionmentioning

confidence: 99%

“…SE, DE, and DCE acquisition protocols were previously optimized and standardized for small animal imaging with the Albira ARS micro-CT scanner [ 25 , 26 , 27 ]. The radiological parameters for image acquisition (X-ray tube voltage (kV), current (mA), additional filter, and number of projections) were chosen as the ones which provided the highest contrast-to-noise ratio and the lowest radiation dose; and the reconstruction algorithm was chosen in terms of quantitative image quality metrics.…”

Section: Methodsmentioning

confidence: 99%

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Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model

Ayala-Domínguez

Pérez-Cárdenas

Avilés‐Salas

et al. 2020

Cancers

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The aim of this work was to systematically obtain quantitative imaging parameters with static and dynamic contrast-enhanced (CE) X-ray imaging techniques and to evaluate their correlation with histological biomarkers of angiogenesis in a subcutaneous C6 glioma model. Enhancement (E), iodine concentration (CI), and relative blood volume (rBV) were quantified from single- and dual-energy (SE and DE, respectively) micro-computed tomography (micro-CT) images, while rBV and volume transfer constant (Ktrans) were quantified from dynamic contrast-enhanced (DCE) planar images. CI and rBV allowed a better discernment of tumor regions from muscle than E in SE and DE images, while no significant differences were found for rBV and Ktrans in DCE images. An agreement was found in rBV for muscle quantified with the different imaging protocols, and in CI and E quantified with SE and DE protocols. Significant strong correlations (Pearson r > 0.7, p < 0.05) were found between a set of imaging parameters in SE images and histological biomarkers: E and CI in tumor periphery were associated with microvessel density (MVD) and necrosis, E and CI in the complete tumor with MVD, and rBV in the tumor periphery with MVD. In conclusion, quantitative imaging parameters obtained in SE micro-CT images could be used to characterize angiogenesis and necrosis in the subcutaneous C6 glioma model.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model

Ayala-Domínguez

Pérez-Cárdenas

Avilés‐Salas

et al. 2020

Cancers

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“…The imaging system we use has not been specifically designed to perform quantitative DE studies, its range of operating voltages is rather narrow (from 30 to 45 kV) and the required quantification of the subtraction process imposes demands that go beyond the normal operation of this commercial instrument. Presentation by Jorge P Castillo et al in this symposium [24], reports preliminary results from his MSc thesis work, in progress.…”

Section: Current Work: Preclinical Studies Of Angiogenesismentioning

confidence: 97%

Contrast-enhanced digital mammography and other techniques based on image subtraction

Brandan

2016

AIP Conference Proceedings

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A method to optimize the image acquisition protocol of a MicroCT unit for preclinical studies using contrast-enhanced digital subtraction AIP Conference Proceedings 1747, 080003 (2016) Abstract. This article reviews research done by the author and collaborators in the general area of subtraction techniques applied to radiological images, in particular in contrast-enhanced digital mammography (CEDM). Main achievements have been the development and phantom validation of a general formalism to subtract images using dual-energy or temporal modalities, the proposal of a hybrid modality called dual-energy temporal, and of a matrix-based compensation for the energy dependence of the anatomical background for dual-energy subtraction. This has been validated with nonhomogenous phantom measurements and applied to clinical images using iodine-based contrast medium. Results from the clinical study have led the group to study the correlation between CEDM image parameters and angiogenic biomarkers in a murine breast cancer model. Clinical CEDM subtracted images have been subjected to textural analysis.

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“…Prior image quantification and in order to obtain measurements that can be comparable among time points and individuals, details on image acquisition, reconstruction, and analysis must be observed and standardized, such as: choosing the proper combination of tube voltage and mAs to maximize CNR and minimize radiation dose [62], performing self-calibration of the imaging system to provide spatial uniformity [73], minimizing metal and motion artifacts [74,75], verifying signal linearity and measurement precision [65,76], performing a correct subject alignment, image registration, and VOI segmentation [60,77]. Then, the assessment of vascular features can be performed with qualitative, semi-quantitative, and quantitative methods of analysis.…”

Section: Image Analysis and Quantification Of Vascular Featuresmentioning

confidence: 99%

Quantification of tumor angiogenesis with contrast-enhanced x-ray imaging in preclinical studies: a review

Ayala-Domínguez¹,

Brandan²

2018

Biomed. Phys. Eng. Express

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Tissue contrast is a major challenge in the application of computed tomography (CT) and microcomputed tomography (micro-CT) techniques for imaging cancer. Contrast medium is used in order to enhance contrast of certain organs of interest, as well as tumors. Several types of contrast media have been used to assess tumor vasculature, perfusion and angiogenesis in preclinical studies. In general, low molecular weight contrast media have been used to characterize the first pass vascular dynamics of tumors with fast CT systems, while blood pool agents have been preferred to explore the delayed vascular dynamics with micro-CT systems. Together, these approaches provide qualitative, semi-quantitative, and quantitative information of the vascular architecture and vascular functionality of tumors in the preclinical scenario. Herein, we present an overview of contrast media, imaging techniques, image analysis methods, and quantitative parameters that have been used to evaluate tumor angiogenesis in vivo in recent preclinical studies. Preclinical applications on lesion detection and characterization, evaluation of vascular parameters as prognostic and predictive biomarkers, and evaluation of treatment response are also reviewed. These applications have demonstrated the potential of contrast-enhanced x-ray imaging to provide, in a noninvasive manner, a landscape of the spatial and temporal heterogeneity of the angiogenic process underlying tumor development.

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Optimization of dual-energy subtraction for preclinical studies using a commercial MicroCT unit

Cited by 6 publications

References 18 publications

Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model

Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model

Contrast-enhanced digital mammography and other techniques based on image subtraction

Quantification of tumor angiogenesis with contrast-enhanced x-ray imaging in preclinical studies: a review

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