View Item 

Show simple item record

Inter‐ and intra‐software reproducibility of computed tomography lung density measurements
dc.contributor.authorKirby, Miranda
dc.contributor.authorHatt, Charles
dc.contributor.authorObuchowski, Nancy
dc.contributor.authorHumphries, Stephen M.
dc.contributor.authorSieren, Jered
dc.contributor.authorLynch, David A.
dc.contributor.authorFain, Sean B.
dc.date.accessioned2020-08-10T20:55:38Z
dc.date.availableWITHHELD_12_MONTHS
dc.date.available2020-08-10T20:55:38Z
dc.date.issued2020-07
dc.identifier.citationKirby, Miranda; Hatt, Charles; Obuchowski, Nancy; Humphries, Stephen M.; Sieren, Jered; Lynch, David A.; Fain, Sean B. (2020). "Inter‐ and intra‐software reproducibility of computed tomography lung density measurements." Medical Physics 47(7): 2962-2969.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/156221
dc.publisherWiley Periodicals, Inc.
dc.subject.otherlung density
dc.subject.otherCOPD
dc.subject.othercomputed tomography
dc.subject.otherimaging biomarker
dc.subject.otheremphysema
dc.titleInter‐ and intra‐software reproducibility of computed tomography lung density measurements
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/156221/2/mp14130.pdfen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/156221/1/mp14130_am.pdfen_US
dc.identifier.doi10.1002/mp.14130
dc.identifier.sourceMedical Physics
dc.identifier.citedreferenceLung Density Committee. QIBA Profile: Computed Tomography: Lung Densitometry [Internet]. Available from qibawiki.rsna.org/images/c/c9/QIBA_CT_Lung_Density_Profile_062619‐appendix‐resolved.pdf
dc.identifier.citedreferenceHan MK, Kazerooni EA, Lynch DA, et al. Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes. Radiology. 2011; 261: 274 – 282.
dc.identifier.citedreferenceFishman A, Martinez F, Naunheim K, et al. A randomized trial comparing lung‐volume‐reduction surgery with medical therapy for severe emphysema. N Engl J Med. 2003; 348: 2059 – 2073.
dc.identifier.citedreferenceSciurba FC, Ernst A, Herth FJ, et al. A randomized study of endobronchial valves for advanced emphysema. N Engl J Med. 2010; 363: 1233 – 1244.
dc.identifier.citedreferenceChapman KR, Burdon JGW, Piitulainen E, et al. Intravenous augmentation treatment and lung density in severe 1 antitrypsin deficiency (RAPID): a randomised, double‐blind, placebo‐controlled trial. Lancet. 2015; 386: 360 – 368.
dc.identifier.citedreferenceMadani A, Van Muylem A, Gevenois PA. Pulmonary emphysema: effect of lung volume on objective quantification at thin‐section CT. Radiology. 2010; 257: 260 – 268.
dc.identifier.citedreferenceYuan R, Mayo JR, Hogg JC, et al. The effects of radiation dose and CT manufacturer on measurements of lung densitometry. Chest. 2007; 132: 617 – 623.
dc.identifier.citedreferenceZaporozhan J, Ley S, Weinheimer O, et al. Multi‐detector CT of the chest: influence of dose onto quantitative evaluation of severe emphysema: a simulation study. J Comput Assist Tomogr. 2006; 30: 460 – 468.
dc.identifier.citedreferenceMadani A, De Maertelaer V, Zanen J, Gevenois PA. Pulmonary emphysema: radiation dose and section thickness at multidetector CT quantification–comparison with macroscopic and microscopic morphometry. Radiology. 2007; 243: 250 – 257.
dc.identifier.citedreferenceGierada DS, Bierhals AJ, Choong CK, et al. Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index. Acad Radiol. 2010; 17: 146 – 156.
dc.identifier.citedreferenceBoedeker KL, McNitt‐Gray MF, Rogers SR, et al. Emphysema: effect of reconstruction algorithm on CT imaging measures. Radiology. 2004; 232: 295 – 301.
dc.identifier.citedreferenceKim V, Davey A, Comellas AP, et al. Clinical and computed tomographic predictors of chronic bronchitis in COPD: a cross sectional analysis of the COPDGene study. Respir Res. 2014; 15: 52.
dc.identifier.citedreferenceLey‐Zaporozhan J, Ley S, Weinheimer O, et al. Quantitative analysis of emphysema in 3D using MDCT: influence of different reconstruction algorithms. Eur J Radiol. 2008; 65: 228 – 234.
dc.identifier.citedreferenceRegan EA, Hokanson JE, Murphy JR, et al. Genetic epidemiology of COPD (COPDGene) study design. COPD. 2010; 7: 32 – 43.
dc.identifier.citedreferenceLim H, Weinheimer O, Wielpütz MO, et al. Fully automated pulmonary lobar segmentation: influence of different prototype software programs onto quantitative evaluation of chronic obstructive lung disease. PLoS ONE. 2016; 11: e0151498.
dc.identifier.citedreferenceWielpütz MO, Bardarova D, Weinheimer O, Kauczor H‐U, Eichinger M. Variation of densitometry on computed tomography in COPD‐influence of different software tools. PLoS ONE. 2014; 9: 112898.
dc.identifier.citedreferenceShen M, Tenda ED, McNulty W, et al. Quantitative evaluation of lobar pulmonary function of emphysema patients with endobronchial coils. Respiration. 2019; 98: 70 – 81.
dc.identifier.citedreferenceRaunig DL, McShane LM, Pennello G, et al. Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment. Stat Methods Med Res. 2015; 24: 27 – 67.
dc.identifier.citedreferenceSieren JP, Newell JD Jr., Barr RG, et al. SPIROMICS protocol for multicenter quantitative computed tomography to phenotype the lungs. Am J Respir Crit Care Med. 2016; 194: 794 – 806.
dc.identifier.citedreferenceVestbo J, Anderson W, Coxson HO, et al. Evaluation of COPD longitudinally to identify predictive surrogate end‐points (ECLIPSE). Eur Respir J. 2008; 31: 869 – 873.
dc.identifier.citedreferenceMulti‐Ethnic Study of Atherosclerosis (MESA) Lung Study [Internet]. Available from http://www.cumc.columbia.edu/dept/medicine/generalmed/epi_copd.htm
dc.identifier.citedreferenceBourbeau J, Tan WC, Benedetti A, et al. Cohort obstructive lung disease (CanCOLD): fulfilling the need for longitudinal observational studies in COPD. COPD. 2014; 11: 125 – 132.
dc.identifier.citedreferenceObuchowski NA, Reeves AP, Huang EP, et al. Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons. Stat Methods Med Res. 2015; 24: 68 – 106.
dc.identifier.citedreferenceIyer KS, Grout RW, Zamba GK, Hoffman EA. Repeatability and sample size assessment associated with computed tomography‐based lung density metrics introduction. Chronic Obstr Pulm Dis. 2014; 1: 97 – 104.
dc.identifier.citedreferenceShaker SB, Dirksen A, Laursen LC, et al. Short‐term reproducibility of computed tomography‐based lung density measurements in alpha‐1 antitrypsin deficiency and smokers with emphysema. Acta Radiol. 2004; 45: 424 – 430.
dc.identifier.citedreferenceShin JM, Kim TH, Haam S, et al. The repeatability of computed tomography lung volume measurements: Comparisons in healthy subjects, patients with obstructive lung disease, and patients with restrictive lung disease. PLoS ONE. 2017; 12: e0182849.
dc.identifier.citedreferenceMuller NL, Staples CA, Miller RR, Abboud RT. “Density mask”. An objective method to quantitate emphysema using computed tomography. Chest. 1988; 94: 782 – 787.
dc.identifier.citedreferenceGevenois PA, De Vuyst P, de Maertelaer V, et al. Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med. 1996; 154: 187 – 192.
dc.identifier.citedreferenceGevenois PA, Zanen J, de Maertelaer V, De Vuyst P, Dumortier P, Yernault JC. Macroscopic assessment of pulmonary emphysema by image analysis. J Clin Pathol. 1995; 48: 318 – 322.
dc.identifier.citedreferenceDirksen A, Dijkman JH, Madsen F, et al. A randomized clinical trial of alpha(1)‐antitrypsin augmentation therapy. Am J Respir Crit Care Med. 1999; 160: 1468 – 1472.
dc.identifier.citedreferenceJohannessen A, Skorge TD, Bottai M, et al. Mortality by level of emphysema and airway wall thickness. Am J Respir Crit Care Med. 2013; 187: 602 – 608.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
mp14130_am.pdf
Size:
317.8KB
Format:
PDF
View/Open
Name:
mp14130.pdf
Size:
383.3KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.