Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017194691> ?p ?o ?g. }
- W2017194691 endingPage "1549" @default.
- W2017194691 startingPage "1545" @default.
- W2017194691 abstract "We describe a method for capturing measurement data directly from digitized images using specialized software and high-resolution workstations. We have evaluated the reliability, accuracy, and reproducibility of this method in an international clinical trial involving vertebral morphometry.Accuracy was determined using clinical radiographs measured with vernier calipers and a film phantom. Intra- and interobserver variabilities were assessed, and longitudinal reproducibility was evaluated. As part of the trial, spinal radiographs were collected from more than 200 international health care facilities and digitized at four screening centers. Digitized images were stored and sent to our central facility for morphometry and archiving. Timeliness and variability of the process were tracked.Relative accuracy was nearly 100%. Correlation with clinical measurements was high (r = .96; p < .05). The mean coefficient of variation for interobserver variability was 2%. Intraobserver variation was 3-5%. The coefficient of variation for longitudinal reproducibility ranged from 4% to 6%. After 9 months of operation, our trial included 9494 patients. Of approximately 36,000 radiographs, 98% passed quality review. Only 1% of vertebral levels were not measurable. Hardware and software problems were minimal.The use of digitized images for morphometry is accurate, reproducible, and convenient. When applied to a large-scale clinical trial, it offers unique advantages that may justify the cost and complexity that exceed those of conventional radiographs." @default.
- W2017194691 created "2016-06-24" @default.
- W2017194691 creator A5004836660 @default.
- W2017194691 creator A5012414656 @default.
- W2017194691 creator A5019725857 @default.
- W2017194691 creator A5022496627 @default.
- W2017194691 creator A5032653721 @default.
- W2017194691 creator A5039839759 @default.
- W2017194691 creator A5043913497 @default.
- W2017194691 creator A5057872343 @default.
- W2017194691 date "1996-12-01" @default.
- W2017194691 modified "2023-10-16" @default.
- W2017194691 title "Vertebral morphometry derived from digital images." @default.
- W2017194691 cites W1573139468 @default.
- W2017194691 cites W1978868605 @default.
- W2017194691 cites W1986371584 @default.
- W2017194691 cites W1987809980 @default.
- W2017194691 cites W1994385240 @default.
- W2017194691 cites W2015403398 @default.
- W2017194691 cites W2023891335 @default.
- W2017194691 cites W2070478380 @default.
- W2017194691 cites W2070479459 @default.
- W2017194691 cites W2074373250 @default.
- W2017194691 cites W2082233939 @default.
- W2017194691 cites W2086512547 @default.
- W2017194691 cites W2095030031 @default.
- W2017194691 cites W2109643048 @default.
- W2017194691 cites W2138049889 @default.
- W2017194691 cites W2148603362 @default.
- W2017194691 cites W2320215641 @default.
- W2017194691 cites W2440016217 @default.
- W2017194691 doi "https://doi.org/10.2214/ajr.167.6.8956594" @default.
- W2017194691 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/8956594" @default.
- W2017194691 hasPublicationYear "1996" @default.
- W2017194691 type Work @default.
- W2017194691 sameAs 2017194691 @default.
- W2017194691 citedByCount "19" @default.
- W2017194691 countsByYear W20171946912016 @default.
- W2017194691 countsByYear W20171946912019 @default.
- W2017194691 countsByYear W20171946912021 @default.
- W2017194691 crossrefType "journal-article" @default.
- W2017194691 hasAuthorship W2017194691A5004836660 @default.
- W2017194691 hasAuthorship W2017194691A5012414656 @default.
- W2017194691 hasAuthorship W2017194691A5019725857 @default.
- W2017194691 hasAuthorship W2017194691A5022496627 @default.
- W2017194691 hasAuthorship W2017194691A5032653721 @default.
- W2017194691 hasAuthorship W2017194691A5039839759 @default.
- W2017194691 hasAuthorship W2017194691A5043913497 @default.
- W2017194691 hasAuthorship W2017194691A5057872343 @default.
- W2017194691 hasConcept C104293457 @default.
- W2017194691 hasConcept C105795698 @default.
- W2017194691 hasConcept C106436119 @default.
- W2017194691 hasConcept C115961682 @default.
- W2017194691 hasConcept C121332964 @default.
- W2017194691 hasConcept C126838900 @default.
- W2017194691 hasConcept C142724271 @default.
- W2017194691 hasConcept C154945302 @default.
- W2017194691 hasConcept C163258240 @default.
- W2017194691 hasConcept C186738849 @default.
- W2017194691 hasConcept C19527891 @default.
- W2017194691 hasConcept C199360897 @default.
- W2017194691 hasConcept C2524010 @default.
- W2017194691 hasConcept C2777904410 @default.
- W2017194691 hasConcept C2778618615 @default.
- W2017194691 hasConcept C2989005 @default.
- W2017194691 hasConcept C33923547 @default.
- W2017194691 hasConcept C36454342 @default.
- W2017194691 hasConcept C41008148 @default.
- W2017194691 hasConcept C43214815 @default.
- W2017194691 hasConcept C55020928 @default.
- W2017194691 hasConcept C62520636 @default.
- W2017194691 hasConcept C71924100 @default.
- W2017194691 hasConcept C89838059 @default.
- W2017194691 hasConcept C9893847 @default.
- W2017194691 hasConceptScore W2017194691C104293457 @default.
- W2017194691 hasConceptScore W2017194691C105795698 @default.
- W2017194691 hasConceptScore W2017194691C106436119 @default.
- W2017194691 hasConceptScore W2017194691C115961682 @default.
- W2017194691 hasConceptScore W2017194691C121332964 @default.
- W2017194691 hasConceptScore W2017194691C126838900 @default.
- W2017194691 hasConceptScore W2017194691C142724271 @default.
- W2017194691 hasConceptScore W2017194691C154945302 @default.
- W2017194691 hasConceptScore W2017194691C163258240 @default.
- W2017194691 hasConceptScore W2017194691C186738849 @default.
- W2017194691 hasConceptScore W2017194691C19527891 @default.
- W2017194691 hasConceptScore W2017194691C199360897 @default.
- W2017194691 hasConceptScore W2017194691C2524010 @default.
- W2017194691 hasConceptScore W2017194691C2777904410 @default.
- W2017194691 hasConceptScore W2017194691C2778618615 @default.
- W2017194691 hasConceptScore W2017194691C2989005 @default.
- W2017194691 hasConceptScore W2017194691C33923547 @default.
- W2017194691 hasConceptScore W2017194691C36454342 @default.
- W2017194691 hasConceptScore W2017194691C41008148 @default.
- W2017194691 hasConceptScore W2017194691C43214815 @default.
- W2017194691 hasConceptScore W2017194691C55020928 @default.
- W2017194691 hasConceptScore W2017194691C62520636 @default.
- W2017194691 hasConceptScore W2017194691C71924100 @default.
- W2017194691 hasConceptScore W2017194691C89838059 @default.