Literature DB >> 25058132

CT perfusion of the liver: principles and applications in oncology.

Se Hyung Kim1, Aya Kamaya, Jürgen K Willmann.   

Abstract

With the introduction of molecularly targeted chemotherapeutics, there is an increasing need for defining new response criteria for therapeutic success because use of morphologic imaging alone may not fully assess tumor response. Computed tomographic (CT) perfusion imaging of the liver provides functional information about the microcirculation of normal parenchyma and focal liver lesions and is a promising technique for assessing the efficacy of various anticancer treatments. CT perfusion also shows promising results for diagnosing primary or metastatic tumors, for predicting early response to anticancer treatments, and for monitoring tumor recurrence after therapy. Many of the limitations of early CT perfusion studies performed in the liver, such as limited coverage, motion artifacts, and high radiation dose of CT, are being addressed by recent technical advances. These include a wide area detector with or without volumetric spiral or shuttle modes, motion correction algorithms, and new CT reconstruction technologies such as iterative algorithms. Although several issues related to perfusion imaging-such as paucity of large multicenter trials, limited accessibility of perfusion software, and lack of standardization in methods-remain unsolved, CT perfusion has now reached technical maturity, allowing for its use in assessing tumor vascularity in larger-scale prospective clinical trials. In this review, basic principles, current acquisition protocols, and pharmacokinetic models used for CT perfusion imaging of the liver are described. Various oncologic applications of CT perfusion of the liver are discussed and current challenges, as well as possible solutions, for CT perfusion are presented.

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Year:  2014        PMID: 25058132      PMCID: PMC4263626          DOI: 10.1148/radiol.14130091

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  110 in total

1.  Functional CT imaging of prostate cancer.

Authors:  Elizabeth Henderson; Michael F Milosevic; Masoom A Haider; Ivan W T Yeung
Journal:  Phys Med Biol       Date:  2003-09-21       Impact factor: 3.609

Review 2.  Perfusion CT for the assessment of tumour vascularity: which protocol?

Authors:  K A Miles
Journal:  Br J Radiol       Date:  2003       Impact factor: 3.039

3.  Liver metastases: early detection based on abnormal contrast material enhancement at dual-phase helical CT.

Authors:  J F Platt; I R Francis; J H Ellis; K A Reige
Journal:  Radiology       Date:  1997-10       Impact factor: 11.105

4.  Perfusion computed tomography in patients with hepatocellular carcinoma treated with thalidomide: initial experience.

Authors:  Giuseppe Petralia; Nicola Fazio; Luke Bonello; Gabriele D'Andrea; Davide Radice; Massimo Bellomi
Journal:  J Comput Assist Tomogr       Date:  2011 Mar-Apr       Impact factor: 1.826

5.  Does the presence of distant and local malignancy alter parenchymal perfusion in apparently disease-free areas of the liver?

Authors:  Y Tsushima; M J Blomley; H Yokoyama; S Kusano; K Endo
Journal:  Dig Dis Sci       Date:  2001-10       Impact factor: 3.199

Review 6.  Molecular ultrasound imaging: current status and future directions.

Authors:  N Deshpande; A Needles; J K Willmann
Journal:  Clin Radiol       Date:  2010-07       Impact factor: 2.350

7.  Quantitative tumor perfusion assessment with multidetector CT: are measurements from two commercial software packages interchangeable?

Authors:  Vicky Goh; Steve Halligan; Clive I Bartram
Journal:  Radiology       Date:  2007-03       Impact factor: 11.105

8.  The role of [18F]fluorodeoxyglucose positron emission tomography imaging in the evaluation of hepatocellular carcinoma.

Authors:  L James Wudel; Dominique Delbeke; David Morris; Michael Rice; Mary Kay Washington; Yu Shyr; C Wright Pinson; William C Chapman
Journal:  Am Surg       Date:  2003-02       Impact factor: 0.688

9.  Reproducibility of perfusion parameters in dynamic contrast-enhanced MRI of lung and liver tumors: effect on estimates of patient sample size in clinical trials and on individual patient responses.

Authors:  Chaan S Ng; David L Raunig; Edward F Jackson; Edward A Ashton; Frederick Kelcz; Kevin B Kim; Razelle Kurzrock; Teresa M McShane
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

10.  Evaluation of tumor response after locoregional therapies in hepatocellular carcinoma: are response evaluation criteria in solid tumors reliable?

Authors:  Alejandro Forner; Carmen Ayuso; María Varela; Jordi Rimola; Amelia J Hessheimer; Carlos Rodriguez de Lope; María Reig; Luís Bianchi; Josep M Llovet; Jordi Bruix
Journal:  Cancer       Date:  2009-02-01       Impact factor: 6.860

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  54 in total

1.  CT Perfusion evaluation of gastric cancer: correlation with histologic type.

Authors:  Dong Ho Lee; Se Hyung Kim; Ijin Joo; Joon Koo Han
Journal:  Eur Radiol       Date:  2017-08-04       Impact factor: 5.315

2.  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

3.  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

4.  Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors.

Authors:  Jing-Lei Li; Wei-Tao Ye; Li-Fen Yan; Zai-Yi Liu; Xi-Ming Cao; Chang-Hong Liang
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

5.  Liver CT perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy?

Authors:  Alessandro Bevilacqua; Silvia Malavasi; Valérie Vilgrain
Journal:  Eur Radiol       Date:  2019-05-21       Impact factor: 5.315

6.  Arterial input function placement effect on computed tomography lung perfusion maps.

Authors:  Laura Jimenez-Juan; Hatem Mehrez; Chris Dey; Shabnam Homampour; Anastasia Oikonomou; Fatima Ursani; Narinder Paul
Journal:  Quant Imaging Med Surg       Date:  2016-02

7.  Clinical evaluation of in silico planning and real-time simulation of hepatic radiofrequency ablation (ClinicIMPPACT Trial).

Authors:  Michael Moche; Harald Busse; Jurgen J Futterer; Camila A Hinestrosa; Daniel Seider; Philipp Brandmaier; Marina Kolesnik; Sjoerd Jenniskens; Roberto Blanco Sequeiros; Gaber Komar; Mika Pollari; Martin Eibisberger; Horst Rupert Portugaller; Philip Voglreiter; Ronan Flanagan; Panchatcharam Mariappan; Martin Reinhardt
Journal:  Eur Radiol       Date:  2019-08-30       Impact factor: 5.315

8.  Can dual-energy CT replace perfusion CT for the functional evaluation of advanced hepatocellular carcinoma?

Authors:  Sébastien Mulé; Frédéric Pigneur; Ronan Quelever; Arthur Tenenhaus; Laurence Baranes; Philippe Richard; Vania Tacher; Edouard Herin; Hugo Pasquier; Maxime Ronot; Alain Rahmouni; Valérie Vilgrain; Alain Luciani
Journal:  Eur Radiol       Date:  2017-11-22       Impact factor: 5.315

9.  Combining in Vitro Diagnostics with in Vivo Imaging for Earlier Detection of Pancreatic Ductal Adenocarcinoma: Challenges and Solutions.

Authors:  Paul F Laeseke; Ru Chen; R Brooke Jeffrey; Teresa A Brentnall; Jürgen K Willmann
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

10.  Arterio-portal shunts in the cirrhotic liver: perfusion computed tomography for distinction of arterialized pseudolesions from hepatocellular carcinoma.

Authors:  Michael A Fischer; Herman P Marquez; Sonja Gordic; Bertil Leidner; Ernst Klotz; Peter Aspelin; Hatem Alkadhi; Torkel B Brismar
Journal:  Eur Radiol       Date:  2016-07-01       Impact factor: 5.315

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