Literature DB >> 22367468

Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography.

K A Miles1, T-Y Lee, V Goh, E Klotz, C Cuenod, S Bisdas, A M Groves, M P Hayball, R Alonzi, T Brunner.   

Abstract

Dynamic contrast-enhanced computed tomography (DCE-CT) assesses the vascular support of tumours through analysis of temporal changes in attenuation in blood vessels and tissues during a rapid series of images acquired with intravenous administration of iodinated contrast material. Commercial software for DCE-CT analysis allows pixel-by-pixel calculation of a range of validated physiological parameters and depiction as parametric maps. Clinical studies support the use of DCE-CT parameters as surrogates for physiological and molecular processes underlying tumour angiogenesis. DCE-CT has been used to provide biomarkers of drug action in early phase trials for the treatment of a range of cancers. DCE-CT can be appended to current imaging assessments of tumour response with the benefits of wide availability and low cost. This paper sets out guidelines for the use of DCE-CT in assessing tumour vascular support that were developed using a Delphi process. Recommendations encompass CT system requirements and quality assurance, radiation dosimetry, patient preparation, administration of contrast material, CT acquisition parameters, terminology and units, data processing and reporting. DCE-CT has reached technical maturity for use in therapeutic trials in oncology. The development of these consensus guidelines may promote broader application of DCE-CT for the evaluation of tumour vascularity. Key Points • DCE-CT can robustly assess tumour vascular support • DCE-CT has reached technical maturity for use in therapeutic trials in oncology • This paper presents consensus guidelines for using DCE-CT in assessing tumour vascularity.

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Year:  2012        PMID: 22367468     DOI: 10.1007/s00330-012-2379-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  68 in total

1.  Perfusion CT in acute ischemic stroke: a qualitative and quantitative comparison of deconvolution and maximum slope approach.

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Journal:  AJNR Am J Neuroradiol       Date:  2010-06-25       Impact factor: 3.825

2.  Perfusion CT in patients with metastatic renal cell carcinoma treated with interferon.

Authors:  Chaan S Ng; Xiaohong Wang; Silvana C Faria; E Lin; Chusilp Charnsangavej; Nizar M Tannir
Journal:  AJR Am J Roentgenol       Date:  2010-01       Impact factor: 3.959

Review 3.  HIF-1 and tumor progression: pathophysiology and therapeutics.

Authors:  Gregg L Semenza
Journal:  Trends Mol Med       Date:  2002       Impact factor: 11.951

Review 4.  Tumor angiogenesis: pathophysiology and implications for contrast-enhanced MRI and CT assessment.

Authors:  C A Cuenod; L Fournier; D Balvay; J-M Guinebretière
Journal:  Abdom Imaging       Date:  2006 Mar-Apr

5.  Dynamic CT perfusion imaging of intra-axial brain tumours: differentiation of high-grade gliomas from primary CNS lymphomas.

Authors:  Peter Schramm; Argyro Xyda; Ernst Klotz; Volker Tronnier; Michael Knauth; Marius Hartmann
Journal:  Eur Radiol       Date:  2010-05-22       Impact factor: 5.315

6.  Functional CT imaging of angiogenesis in rabbit VX2 soft-tissue tumour.

Authors:  T G Purdie; E Henderson; T Y Lee
Journal:  Phys Med Biol       Date:  2001-12       Impact factor: 3.609

7.  The use of perfusion CT for the evaluation of therapy combining AZD2171 with gefitinib in cancer patients.

Authors:  Martijn R Meijerink; Hester van Cruijsen; Klaas Hoekman; Matthijs Kater; Cors van Schaik; Jan Hein T M van Waesberghe; Giuseppe Giaccone; Radu A Manoliu
Journal:  Eur Radiol       Date:  2006-10-27       Impact factor: 5.315

8.  Perfusion computed tomography for monitoring induction chemotherapy in patients with squamous cell carcinoma of the upper aerodigestive tract: correlation between changes in tumor perfusion and tumor volume.

Authors:  Giuseppe Petralia; Lorenzo Preda; Gioacchino Giugliano; Barbara A Jereczek-Fossa; Andrea Rocca; Gabriele D'Andrea; Nagaraj Setty Holalkere; Fausto Chiesa; Massimo Bellomi
Journal:  J Comput Assist Tomogr       Date:  2009 Jul-Aug       Impact factor: 1.826

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10.  [Multi-slice spiral CT pulmonary perfusion imaging and the expression of VEGF/PCNA in non-small cell lung cancer].

Authors:  Jinkang Liu; Zeng Xiong; Hui Zhou; Moling Zhou; Jianhua Zhou; Chunyan Fu
Journal:  Zhong Nan Da Xue Xue Bao Yi Xue Ban       Date:  2009-05
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  66 in total

Review 1.  Standardising measurement of tumour vascularity by imaging: recommendations for ultrasound, computed tomography, magnetic resonance imaging and positron emission tomography.

Authors:  Adrian K Dixon; Fiona J Gilbert
Journal:  Eur Radiol       Date:  2012-04-29       Impact factor: 5.315

2.  Assessment of prostate cancer with integrated CT-perfusion using a sector-wise approach.

Authors:  Matteo Ferrari; Martin Huellner; Chantal Pauli; Burkhardt Seifert; Hansjörg Danuser; Patrick Veit-Haibach; Agostino Mattei
Journal:  Turk J Urol       Date:  2017-05-03

3.  Non-invasive determination of pulmonary hypertension with dynamic contrast-enhanced computed tomography: a pilot study.

Authors:  Michael Pienn; Gabor Kovacs; Maria Tscherner; Alexander Avian; Thorsten R Johnson; Peter Kullnig; Rudolf Stollberger; Andrea Olschewski; Horst Olschewski; Zoltán Bálint
Journal:  Eur Radiol       Date:  2013-12-06       Impact factor: 5.315

4.  Quantification of the Effect of Shuttling on Computed Tomography Perfusion Parameters by Investigation of Aortic Inputs on Different Table Positions From Shuttle-Mode Scans of Lung and Liver Tumors.

Authors:  Payel Ghosh; Adam G Chandler; Brian P Hobbs; Jia Sun; John Rong; David Hong; Vivek Subbiah; Filip Janku; Aung Naing; Wen-Jen Hwu; Chaan S Ng
Journal:  J Comput Assist Tomogr       Date:  2018 May/Jun       Impact factor: 1.826

Review 5.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

6.  [High-quality reconstruction of four-dimensional cone beam CT from motion registration prior image].

Authors:  Meiling Chen; Yi Huang; Wufan Chen; Xin Chen; Hua Zhang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-02-28

7.  A semi-automatic method for the extraction of the portal venous input function in quantitative dynamic contrast-enhanced CT of the liver.

Authors:  Andrew B Gill; Nicholas J Hilliard; Simon T Hilliard; Martin J Graves; David J Lomas; Ashley Shaw
Journal:  Br J Radiol       Date:  2017-06-20       Impact factor: 3.039

8.  Evaluation of the effect of image noise on CT perfusion measurements using digital perfusion phantoms.

Authors:  Stephan Skornitzke; Jessica Hirsch; Hans-Ulrich Kauczor; Wolfram Stiller
Journal:  Eur Radiol       Date:  2018-10-11       Impact factor: 5.315

9.  Uniform enhancement of optical micro-angiography images using Rayleigh contrast-limited adaptive histogram equalization.

Authors:  Siavash Yousefi; Jia Qin; Zhongwei Zhi; Ruikang K Wang
Journal:  Quant Imaging Med Surg       Date:  2013-02

10.  Reproducibility and variability of very low dose hepatic perfusion CT in metastatic liver disease.

Authors:  Osman Melih Topcuoğlu; Muşturay Karçaaltıncaba; Deniz Akata; Mustafa Nasuh Özmen
Journal:  Diagn Interv Radiol       Date:  2016 Nov-Dec       Impact factor: 2.630

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