Literature DB >> 19020217

Effect of temporal interval between scan acquisitions on quantitative vascular parameters in colorectal cancer: implications for helical volumetric perfusion CT techniques.

Vicky Goh1, Jonathan Liaw, Clive I Bartram, Steve Halligan.   

Abstract

OBJECTIVE: The purpose of this study was to determine how the temporal interval between scan acquisitions influences quantitative perfusion CT vascular parameters in colorectal cancer. SUBJECTS AND METHODS: Forty-five patients with colorectal adenocarcinoma prospectively underwent a 65-second single-anatomic-level perfusion CT study. Blood flow, blood volume, transit time, and permeability-surface area product for a 2-cm tumor coverage were determined with commercial software based on distributed parameter analysis for four temporal intervals (1, 2, 3, and 4 seconds) between acquisitions. Mean vascular values obtained for these intervals were compared by use of analysis of variance with posttesting by the Bonferroni method. Statistical significance was set at 5%.
RESULTS: Mean +/- SD blood flow, volume, transit, and permeability-surface area product were 71.5 +/- 34.8 mL/min/100 g tissue, 6.33 +/- 1.96 mL/100 g tissue, 10.8 +/- 5.54 seconds, and 14.9 +/- 3.51 mL/min/100 g tissue, respectively, at 1 second; 86.6 +/- 40.6 mL/min/100 g tissue, 6.30 +/- 2.53 mL/100 g tissue, 10.7 +/- 7.12 seconds, and 14.5 +/- 3.55 mL/min/100 g tissue at 2 seconds; 97.8 +/- 42.7 mL/min/100 g tissue, 5.98 +/- 1.72 mL/100 g tissue, 8.11 +/- 4.37 seconds, and 14.5 +/- 3.58 mL/min/100 g tissue at 3 seconds; and 108.8 +/- 46.0 mL/min/100 g tissue, 6.69 +/- 3.46 mL/100 g tissue, 7.12 +/- 3.54 seconds, and 13.9 +/- 3.49 mL/min/100 g tissue at 4 seconds. Blood flow was overestimated (p = 0.0002) and transit underestimated (p = 0.03) with lengthening acquisition interval. Posttesting revealed that in a comparison with 1-second data, this difference was significant for 3- and 4-second data for blood flow and 4-second data for transit.
CONCLUSION: Increasing the temporal interval from 1 to 4 seconds leads to overestimation of tumor blood flow and underestimation of blood transit in distributed parameter analysis. Use of the helical perfusion CT techniques being developed may lead to inaccurate assessment unless the acquisition interval is shorter than 3 seconds.

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Year:  2008        PMID: 19020217     DOI: 10.2214/AJR.07.3985

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  18 in total

1.  Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors.

Authors:  Chaan S Ng; Adam G Chandler; James C Yao; Delise H Herron; Ella F Anderson; Chusilp Charnsangavej; Brian P Hobbs
Journal:  J Comput Assist Tomogr       Date:  2014 Jul-Aug       Impact factor: 1.826

2.  Integrated ¹⁸F-FDG PET/perfusion CT for the monitoring of neoadjuvant chemoradiotherapy in rectal carcinoma: correlation with histopathology.

Authors:  Michael A Fischer; Bart Vrugt; Hatem Alkadhi; Dieter Hahnloser; Thomas F Hany; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-04-24       Impact factor: 9.236

3.  Dynamic contrast-enhanced CT in patients treated with sorafenib and erlotinib for non-small cell lung cancer: a new method of monitoring treatment?

Authors:  Joline S W Lind; Martijn R Meijerink; Anne-Marie C Dingemans; Cornelis van Kuijk; Michel C Ollers; Dirk de Ruysscher; Pieter E Postmus; Egbert F Smit
Journal:  Eur Radiol       Date:  2010-07-13       Impact factor: 5.315

4.  Porcine ex vivo liver phantom for dynamic contrast-enhanced computed tomography: development and initial results.

Authors:  Scott M Thompson; Juan C Ramirez-Giraldo; Bruce Knudsen; Joseph P Grande; Jodie A Christner; Man Xu; David A Woodrum; Cynthia H McCollough; Matthew R Callstrom
Journal:  Invest Radiol       Date:  2011-09       Impact factor: 6.016

5.  Effect on perfusion values of sampling interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver.

Authors:  Chaan S Ng; Brian P Hobbs; Wei Wei; Ella F Anderson; Delise H Herron; James C Yao; Adam G Chandler
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

6.  Perfusion CT to assess angiogenesis in colon cancer: technical limitations and practical challenges.

Authors:  S Dighe; E Castellano; H Blake; N Jeyadevan; M U Koh; M Orten; I Swift; G Brown
Journal:  Br J Radiol       Date:  2012-04-18       Impact factor: 3.039

7.  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

Review 8.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

Review 9.  CT perfusion in oncology: how to do it.

Authors:  G Petralia; L Bonello; S Viotti; L Preda; G d'Andrea; M Bellomi
Journal:  Cancer Imaging       Date:  2010-02-11       Impact factor: 3.909

10.  Effect of sampling frequency on perfusion values in perfusion CT of lung tumors.

Authors:  Chaan S Ng; Adam G Chandler; Wei Wei; Ella F Anderson; Delise H Herron; Razelle Kurzrock; Chusilp Charnsangavej
Journal:  AJR Am J Roentgenol       Date:  2013-02       Impact factor: 3.959

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