Literature DB >> 27147369

A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS).

Junfeng Guo1, Chao Wang2, Kung-Sik Chan2, Dakai Jin3, Punam K Saha3, Jered P Sieren4, R G Barr5, MeiLan K Han6, Ella Kazerooni7, Christopher B Cooper8, David Couper9, John D Newell1, Eric A Hoffman10.   

Abstract

PURPOSE: A test object (phantom) is an important tool to evaluate comparability and stability of CT scanners used in multicenter and longitudinal studies. However, there are many sources of error that can interfere with the test object-derived quantitative measurements. Here the authors investigated three major possible sources of operator error in the use of a test object employed to assess pulmonary density-related as well as airway-related metrics.
METHODS: Two kinds of experiments were carried out to assess measurement variability caused by imperfect scanning status. The first one consisted of three experiments. A COPDGene test object was scanned using a dual source multidetector computed tomographic scanner (Siemens Somatom Flash) with the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) inspiration protocol (120 kV, 110 mAs, pitch = 1, slice thickness = 0.75 mm, slice spacing = 0.5 mm) to evaluate the effects of tilt angle, water bottle offset, and air bubble size. After analysis of these results, a guideline was reached in order to achieve more reliable results for this test object. Next the authors applied the above findings to 2272 test object scans collected over 4 years as part of the SPIROMICS study. The authors compared changes of the data consistency before and after excluding the scans that failed to pass the guideline.
RESULTS: This study established the following limits for the test object: tilt index ≤0.3, water bottle offset limits of [-6.6 mm, 7.4 mm], and no air bubble within the water bottle, where tilt index is a measure incorporating two tilt angles around x- and y-axis. With 95% confidence, the density measurement variation for all five interested materials in the test object (acrylic, water, lung, inside air, and outside air) resulting from all three error sources can be limited to ±0.9 HU (summed in quadrature), when all the requirements are satisfied. The authors applied these criteria to 2272 SPIROMICS scans and demonstrated a significant reduction in measurement variation associated with the test object.
CONCLUSIONS: Three operator errors were identified which significantly affected the usability of the acquired scan images of the test object used for monitoring scanner stability in a multicenter study. The authors' results demonstrated that at the time of test object scan receipt at a radiology core laboratory, quality control procedures should include an assessment of tilt index, water bottle offset, and air bubble size within the water bottle. Application of this methodology to 2272 SPIROMICS scans indicated that their findings were not limited to the scanner make and model used for the initial test but was generalizable to both Siemens and GE scanners which comprise the scanner types used within the SPIROMICS study.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27147369      PMCID: PMC4851622          DOI: 10.1118/1.4947303

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  Design of the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS).

Authors:  David Couper; Lisa M LaVange; MeiLan Han; R Graham Barr; Eugene Bleecker; Eric A Hoffman; Richard Kanner; Eric Kleerup; Fernando J Martinez; Prescott G Woodruff; Stephen Rennard
Journal:  Thorax       Date:  2013-09-12       Impact factor: 9.139

2.  Towards task-based assessment of CT performance: system and object MTF across different reconstruction algorithms.

Authors:  Samuel Richard; Daniela B Husarik; Girijesh Yadava; Simon N Murphy; Ehsan Samei
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

3.  A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom.

Authors:  Saul N Friedman; George S K Fung; Jeffrey H Siewerdsen; Benjamin M W Tsui
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

4.  A semi-automatic framework of measuring pulmonary arterial metrics at anatomic airway locations using CT imaging.

Authors:  Dakai Jin; Junfeng Guo; Timothy M Dougherty; Krishna S Iyer; Eric A Hoffman; Punam K Saha
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-29

5.  Reference standard and statistical model for intersite and temporal comparisons of CT attenuation in a multicenter quantitative lung study.

Authors:  J P Sieren; J D Newell; P F Judy; D A Lynch; K S Chan; J Guo; E A Hoffman
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

  5 in total
  2 in total

1.  SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.

Authors:  Jered P Sieren; John D Newell; R Graham Barr; Eugene R Bleecker; Nathan Burnette; Elizabeth E Carretta; David Couper; Jonathan Goldin; Junfeng Guo; MeiLan K Han; Nadia N Hansel; Richard E Kanner; Ella A Kazerooni; Fernando J Martinez; Stephen Rennard; Prescott G Woodruff; Eric A Hoffman
Journal:  Am J Respir Crit Care Med       Date:  2016-10-01       Impact factor: 21.405

2.  Radiographic lung volumes predict progression to COPD in smokers with preserved spirometry in SPIROMICS.

Authors:  Mehrdad Arjomandi; Siyang Zeng; Igor Barjaktarevic; R Graham Barr; Eugene R Bleecker; Russell P Bowler; Russell G Buhr; Gerard J Criner; Alejandro P Comellas; Christopher B Cooper; David J Couper; Jeffrey L Curtis; Mark T Dransfield; MeiLan K Han; Nadia N Hansel; Eric A Hoffman; Robert J Kaner; Richard E Kanner; Jerry A Krishnan; Robert Paine; Stephen P Peters; Stephen I Rennard; Prescott G Woodruff
Journal:  Eur Respir J       Date:  2019-10-31       Impact factor: 16.671

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.