Literature DB >> 16985160

Quantitative assessment of lung cancer perfusion using MDCT: does measurement reproducibility improve with greater tumor volume coverage?

Quan Sing Ng1, Vicky Goh, Ernst Klotz, Heinz Fichte, Michele I Saunders, Peter J Hoskin, Anwar R Padhani.   

Abstract

OBJECTIVE: To date, quantitative assessment of tumor vascularity using perfusion CT has been limited to a single tumor level, with the potential for measurement error in heterogeneous tumors. We aimed to determine if greater z-axis tumor coverage improves the reproducibility of perfusion CT measurements in lung cancer. SUBJECTS AND METHODS: Paired perfusion studies were performed on 10 patients who had histologically confirmed advanced non-small cell lung cancer. Using 16-MDCT, multiple sequential volumetric acquisitions encompassing the entire tumor were acquired after infusion of i.v. contrast material. Using Patlak analysis, median values of tumor permeability (mL/100 mL/min) and blood volume (mL/100 mL) were measured for 10-mm z-axis coverage, and for 40-mm z-axis coverage in each of the paired perfusion studies. Measurement reproducibility was evaluated using Bland-Altman statistics.
RESULTS: Mean difference (95% limits of agreement) for tumor permeability was 1.4 (-4.0 to 6.8) for 10-mm coverage and 0.8 (-3.6 to 5.2) for 40-mm coverage. Mean difference (95% limits of agreement) for blood volume was 1.9 (-5.1 to 8.9) for 10-mm coverage and 1.4 (-3.7 to 6.6) for 40-mm coverage. The coefficient of variation for permeability was 18.7% for 10-mm coverage, improving to 11.9% for 40-mm coverage. The coefficient of variation for blood volume was 41.7% for 10-mm coverage, improving to 32.6% for 40-mm coverage.
CONCLUSION: Our results show that an improvement in tumor perfusion measurement reproducibility may be achieved with greater z-axis coverage.

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Year:  2006        PMID: 16985160     DOI: 10.2214/AJR.05.0889

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


  23 in total

1.  First-pass perfusion imaging of solitary pulmonary nodules with 64-detector row CT: comparison of perfusion parameters of malignant and benign lesions.

Authors:  Y Li; Z-G Yang; T-W Chen; J-Q Yu; J-Y Sun; H-J Chen
Journal:  Br J Radiol       Date:  2010-07-20       Impact factor: 3.039

2.  Dynamic contrast-enhanced CT in suspected lung cancer: quantitative results.

Authors:  S W Harders; H H Madsen; H M Nellemann; T R Rasmussen; J Thygesen; H Hager; N T Andersen; F Rasmussen
Journal:  Br J Radiol       Date:  2013-09-12       Impact factor: 3.039

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.  Feasibility of perfusion CT technique integrated into conventional 18FDG/PET-CT studies in lung cancer patients: clinical staging and functional information in a single study.

Authors:  Davide Ippolito; Cristina Capraro; Luca Guerra; Elena De Ponti; Cristina Messa; Sandro Sironi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-10       Impact factor: 9.236

5.  Whole-tumour CT-perfusion of unresectable lung cancer for the monitoring of anti-angiogenetic chemotherapy effects.

Authors:  F Fraioli; M Anzidei; G Serra; S Liberali; A Fiorelli; F Zaccagna; F Longo; M Anile; C Catalano
Journal:  Br J Radiol       Date:  2013-08-01       Impact factor: 3.039

Review 6.  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

7.  Can perfusion CT assessment of primary colorectal adenocarcinoma blood flow at staging predict for subsequent metastatic disease? A pilot study.

Authors:  Vicky Goh; Steve Halligan; David M Wellsted; Clive I Bartram
Journal:  Eur Radiol       Date:  2008-08-15       Impact factor: 5.315

8.  Functional CT of squamous cell carcinoma in the head and neck: repeatability of tumor and muscle quantitative measurements, inter- and intra-observer agreement.

Authors:  Sotirios Bisdas; Katarina Surlan-Popovic; Vojko Didanovic; Thomas J Vogl
Journal:  Eur Radiol       Date:  2008-04-30       Impact factor: 5.315

9.  Hepatic blood perfusion estimated by dynamic contrast-enhanced computed tomography in pigs: limitations of the slope method.

Authors:  Michael Winterdahl; Michael Sørensen; Susanne Keiding; Frank V Mortensen; Aage K O Alstrup; Søren B Hansen; Ole L Munk
Journal:  Invest Radiol       Date:  2012-10       Impact factor: 6.016

10.  Perfusion parameters as potential imaging biomarkers for the early prediction of radiotherapy response in a rat tumor model.

Authors:  Ho Yun Lee; Namkug Kim; Jin Mo Goo; Eui Kyu Chie; Hye Jong Song
Journal:  Diagn Interv Radiol       Date:  2016 May-Jun       Impact factor: 2.630

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