Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/18016
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dc.contributor.authorBonaretti, S-
dc.contributor.authorVilayphiou, N-
dc.contributor.authorChan, C M-
dc.contributor.authorYu, A-
dc.contributor.authorNishiyama, K-
dc.contributor.authorLiu, D-
dc.contributor.authorBoutroy, S-
dc.contributor.authorGhasem-Zadeh, Ali-
dc.contributor.authorBoyd, S K-
dc.contributor.authorChapurlat, R-
dc.contributor.authorMcKay, H-
dc.contributor.authorShane, E-
dc.contributor.authorBouxsein, M L-
dc.contributor.authorBlack, D M-
dc.contributor.authorMajumdar, S-
dc.contributor.authorOrwoll, E S-
dc.contributor.authorLang, T F-
dc.contributor.authorKhosla, S-
dc.contributor.authorBurghardt, A J-
dc.date2016-07-30-
dc.date.accessioned2018-07-05T06:40:09Z-
dc.date.available2018-07-05T06:40:09Z-
dc.date.issued2017-01-
dc.identifier.citationOsteoporosis International 2017; 28(1): 245-257en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/18016-
dc.description.abstractIn this study, we determined that operator positioning precision contributes significant measurement error in high-resolution peripheral quantitative computed tomography (HR-pQCT). Moreover, we developed software to quantify intra- and inter-operator variability and demonstrated that standard positioning training (now available as a web-based application) can significantly reduce inter-operator variability. HR-pQCT is increasingly used to assess bone quality, fracture risk, and anti-fracture interventions. The contribution of the operator has not been adequately accounted in measurement precision. Operators acquire a 2D projection ("scout view image") and define the region to be scanned by positioning a "reference line" on a standard anatomical landmark. In this study, we (i) evaluated the contribution of positioning variability to in vivo measurement precision, (ii) measured intra- and inter-operator positioning variability, and (iii) tested if custom training software led to superior reproducibility in new operators compared to experienced operators. To evaluate the operator in vivo measurement precision, we compared precision errors calculated in 64 co-registered and non-co-registered scan-rescan images. To quantify operator variability, we developed software that simulates the positioning process of the scanner's software. Eight experienced operators positioned reference lines on scout view images designed to test intra- and inter-operator reproducibility. Finally, we developed modules for training and evaluation of reference line positioning. We enrolled six new operators to participate in a common training, followed by the same reproducibility experiments performed by the experienced group. In vivo precision errors were up to threefold greater (Tt.BMD and Ct.Th) when variability in scan positioning was included. The inter-operator precision errors were significantly greater than the short-term intra-operator precision (p < 0.001). New trained operators achieved comparable intra-operator reproducibility to experienced operators and lower inter-operator reproducibility (p < 0.001). Precision errors were significantly greater for the radius than for the tibia. Operator reference line positioning contributes significantly to in vivo measurement precision and is significantly greater for multi-operator datasets. Inter-operator variability can be significantly reduced using a systematic training platform, now available online ( http://webapps.radiology.ucsf.edu/refline/ ).en_US
dc.language.isoeng-
dc.subjectHR-pQCTen_US
dc.subjectMulticenter studiesen_US
dc.subjectOperator reproducibilityen_US
dc.subjectPrecisionen_US
dc.subjectStandardizationen_US
dc.titleOperator variability in scan positioning is a major component of HR-pQCT precision error and is reduced by standardized training.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleOsteoporosis Internationalen_US
dc.identifier.affiliationScanco Medical AG, Brüttisellen, Switzerlanden_US
dc.identifier.affiliationUniversity of California Berkeley, Berkeley, CA, USAen_US
dc.identifier.affiliationDivision of Endocrinology, Department of Medicine, Columbia University Medical Center, New York, NY, USAen_US
dc.identifier.affiliationUniversity of British Columbia, Vancouver, BC, Canadaen_US
dc.identifier.affiliationMedicine (University of Melbourne)en_US
dc.identifier.affiliationDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canadaen_US
dc.identifier.affiliationINSERM UMR 1033, Université de Lyon, Lyon, Franceen_US
dc.identifier.affiliationCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USAen_US
dc.identifier.affiliationDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USAen_US
dc.identifier.affiliationDivision of Endocrinology, Bone and Mineral Unit, Oregon Health & Science University, Portland, OR, USAen_US
dc.identifier.affiliationDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USAen_US
dc.identifier.affiliationDivision of Endocrinology, Metabolism and Nutrition, Department of Internal Medicine, College of Medicine, Mayo Clinic, Rochester, MN, USAen_US
dc.identifier.affiliationDepartment of Radiology, Stanford University, Stanford, CA, USAen_US
dc.identifier.doi10.1007/s00198-016-3705-5en_US
dc.type.contentTexten_US
dc.identifier.pubmedid27475931-
dc.type.austinJournal Article-
dc.type.austinResearch Support, N.I.H., Extramural-
local.name.researcherGhasem-Zadeh, Ali
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
crisitem.author.deptSurgery-
crisitem.author.deptEndocrinology-
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