Literature DB >> 23701090

Adaptive 4D volume perfusion CT of lung cancer: effects of computerized motion correction and the range of volume coverage on measurement reproducibility.

Sang Min Lee1, Hyun-Ju Lee, Jung Im Kim, Mi-Jin Kang, Jin Mo Goo, Chang Min Park, Jung-Gi Im.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether measurement reproducibility can be improved using computerized motion correction and whole-tumor coverage in adaptive 4D perfusion CT of lung cancer. SUBJECTS AND METHODS: Perfusion CT covering the entire z-axis of a mass was performed of 40 patients with lung cancer. Each perfusion CT study was performed in 93.5 seconds and included 17 repeated dynamic CT scans obtained using the Adaptive 4D Spiral mode. Tumor blood flow (BF), blood volume (BV), and permeability were measured in four different manners: in the entire tumor (whole-tumor coverage) without the use of motion correction; in the entire tumor with motion correction; in a small volume of interest (VOI) of tumor without motion correction; and in a small VOI with motion correction. Intra- and interobserver reproducibility were assessed through Bland-Altman analyses.
RESULTS: The 95% limits of intraobserver reproducibility for BF, BV, and permeability were as follows: -52.1% to 48.0%, -22.4% to 27.8%, and -33.2% to 38.5%, respectively, in the whole tumor without motion correction; -53.3% to 45.6%, -17.7% to 20.6%, and -31.5% to 37.0% in the whole tumor with motion correction; -107.8% to 97.4%, -98.3% to 93.7%, and -132.3% to 100.7% in a small VOI of tumor without motion correction; and -74.9% to 98.6%, -74.5% to 88.1%, and -109.8% to 114.1% in a small VOI with motion correction. The 95% limits of interobserver reproducibility for BF, BV, and permeability were as follows: -57.0% to 62.5%, -36.8% to 52.6%, and -47.7% to 66.0%, respectively, in the whole tumor without motion correction; -55.7% to 55.8%, -25.8% to 42.0%, and -35.3% to 46.7% in the whole tumor with motion correction; -146.6% to 165.1%, -117.1% to 137.7%, and -143.2% to 149.8% in a small VOI of tumor without motion correction; and -106.2% to 133.6%, -99.5% to 122.4%, and -108.6% to 170.0% in a small VOI of tumor with motion correction. Overall, the best reproducibility was obtained when measurements were obtained in the entire tumor (i.e., whole-tumor coverage) and when motion correction was used.
CONCLUSION: Measurement reproducibility of perfusion parameters improved when measurements in the entire tumor (i.e., whole-tumor coverage) were obtained and computerized motion correction was used. The best reproducibility in parameter values was obtained with motion correction and whole-tumor coverage.

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Year:  2013        PMID: 23701090     DOI: 10.2214/AJR.12.9458

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


  6 in total

Review 1.  Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities.

Authors:  Wouter van Elmpt; Catharina M L Zegers; Marco Das; Dirk De Ruysscher
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

2.  Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients.

Authors:  Jill Rachel Mains; Frede Donskov; Erik Morre Pedersen; Hans Henrik Torp Madsen; Jesper Thygesen; Kennet Thorup; Finn Rasmussen
Journal:  Br J Radiol       Date:  2018-01-02       Impact factor: 3.039

3.  CT perfusion imaging of lung cancer: benefit of motion correction for blood flow estimates.

Authors:  Lisa L Chu; Robert J Knebel; Aryan D Shay; Jonathan Santos; Ramsey D Badawi; David R Gandara; Friedrich D Knollmann
Journal:  Eur Radiol       Date:  2018-06-04       Impact factor: 5.315

Review 4.  Assessing Tumor Response to Treatment in Patients with Lung Cancer Using Dynamic Contrast-Enhanced CT.

Authors:  Louise S Strauch; Rie Ø Eriksen; Michael Sandgaard; Thomas S Kristensen; Michael B Nielsen; Carsten A Lauridsen
Journal:  Diagnostics (Basel)       Date:  2016-07-21

5.  Multislice Analysis of Blood Flow Values in CT Perfusion Studies of Lung Cancer.

Authors:  Silvia Malavasi; Domenico Barone; Giampaolo Gavelli; Alessandro Bevilacqua
Journal:  Biomed Res Int       Date:  2017-01-10       Impact factor: 3.411

6.  Intra-observer and inter-observer agreements for the measurement of dual-input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner-air density of tumors.

Authors:  Qingle Wang; Zhiyong Zhang; Fei Shan; Yuxin Shi; Wei Xing; Liangrong Shi; Xingwei Zhang
Journal:  Thorac Cancer       Date:  2017-06-06       Impact factor: 3.500

  6 in total

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