Literature DB >> 10452719

Hepatic metastases: the value of quantitative assessment of contrast enhancement on computed tomography.

P E Dugdale1, K A Miles.   

Abstract

OBJECTIVE: Occult and overt hepatic metastases have been the target of research in an effort to improve detection and characterisation of cancer spread and, consequently, guidance of treatment. This paper aims to illustrate the value of two quantitative techniques for assessing contrast enhancement during CT in the detection of hepatic metastases. It outlines the applications to which they can be put, and the ease of incorporation into current protocols. METHODS AND MATERIAL: The first technique, perfusion CT, uses a single location dynamic CT sequence to obtain time attenuation data whilst a short, high concentration IV bolus of contrast passes through the abdominal vasculature. Quantitative hepatic arterial and portal values are calculated, along with a perfusion image map. The second technique uses densitometric analysis during a modified contrast enhanced dual-phase liver CT examination. Semi-quantitative values are calculated from the images obtained at the 25 and 40 s times.
RESULTS: Both perfusion CT and densitometric analysis have been to shown to differentiate between normal and tumour-bearing liver as defined by structural CT. Hepatic metastases are associated with increased arterial perfusion and arterial phase enhancement. Increased arterial phase enhancement on densitometric analysis in the absence of overt lesions heralds the onset of visible metastases in the liver in the ensuing 18 months. Perfusion CT has also demonstrated a correlation between high arterial perfusion around a visible metastasis and increased survival.
CONCLUSION: Both techniques can provide more information than is available from conventional enhanced CT scans alone. An algorithm for the clinical application of perfusion CT is proposed. The ease with which these quantitative techniques can be performed and the extra information they provide could lead to improved staging of cancer and more appropriate patient management.

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Year:  1999        PMID: 10452719     DOI: 10.1016/s0720-048x(99)00013-3

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  9 in total

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2.  Perfusion characterization of liver metastases from endocrine tumors: Computed tomography perfusion.

Authors:  Aurélie Guyennon; Marius Mihaila; John Palma; Catherine Lombard-Bohas; Jean-Alain Chayvialle; Frank Pilleul
Journal:  World J Radiol       Date:  2010-11-28

3.  Perfusion CT in solid body-tumours. Part II: Clinical applications and future development.

Authors:  M Bellomi; S Viotti; L Preda; G D'Andrea; L Bonello; G Petralia
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4.  Advanced gastric cancer and perfusion imaging using a multidetector row computed tomography: correlation with prognostic determinants.

Authors:  Huan Zhang; Zilai Pan; Lianjun Du; Chao Yan; Bei Ding; Qi Song; Huawei Ling; Kemin Chen
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Review 5.  CT perfusion of the liver: principles and applications in oncology.

Authors:  Se Hyung Kim; Aya Kamaya; Jürgen K Willmann
Journal:  Radiology       Date:  2014-08       Impact factor: 11.105

6.  Total-liver-volume perfusion CT using 3-D image fusion to improve detection and characterization of liver metastases.

Authors:  Martijn R Meijerink; Jan Hein T M van Waesberghe; Lineke van der Weide; Petrousjka van den Tol; Sybren Meijer; Cornelis van Kuijk
Journal:  Eur Radiol       Date:  2008-05-20       Impact factor: 5.315

7.  Functional CT imaging in oncology.

Authors:  K A Miles
Journal:  Eur Radiol       Date:  2003-12       Impact factor: 5.315

8.  Gastric cancer staging with dual energy spectral CT imaging.

Authors:  Zilai Pan; Lifang Pang; Bei Ding; Chao Yan; Huan Zhang; Lianjun Du; Baisong Wang; Qi Song; Kemin Chen; Fuhua Yan
Journal:  PLoS One       Date:  2013-02-12       Impact factor: 3.240

9.  Role of Perfusion CT Differentiating Hemangiomas from Malignant Hepatic Lesions.

Authors:  Jagjeet Singh; Sanjiv Sharma; Neeti Aggarwal; R G Sood; Shikha Sood; Ravinder Sidhu
Journal:  J Clin Imaging Sci       Date:  2014-02-27
  9 in total

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