Validity and reliability of active shape models for the estimation of Cobb angle in patients with adolescent idiopathic scoliosis.
Choosing the most suitable treatment for scoliosis relies heavily on accurate and reproducible Cobb angle measurement from successive radiographs. The objective is to reduce variability of Cobb angle measurement by reducing user intervention and bias. Custom software to increase automation of the Co...
| Publicado en: | Journal of Digital Imaging Vol. 21; no. 2; pp. 208 - 219 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105781011&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105781011 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2008 vid: 21 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105781011 2009933329 10.1007/s10278-007-9026-7 NLM17340228 105781011 ppf: 208 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Validity and reliability of active shape models for the estimation of Cobb angle in patients with adolescent idiopathic scoliosis. aug: au: Allen S Parent E Khorasani M Hill DL Lou E Raso JV affil: Department of Rehabilitation Technology, Capital Health, Glenrose Rehabilitation Hospital Site, 10230 111 Ave., Edmonton, Alberta, T5G 0B7, Canada. sug: subj: Body Weights and Measures Scoliosis, Idiopathic, Adolescent Radiography Algorithms Automation Confidence Intervals Data Analysis Software Funding Source Interrater Reliability Intraclass Correlation Coefficient Intrarater Reliability Software Validation Studies Human ab: Choosing the most suitable treatment for scoliosis relies heavily on accurate and reproducible Cobb angle measurement from successive radiographs. The objective is to reduce variability of Cobb angle measurement by reducing user intervention and bias. Custom software to increase automation of the Cobb angle measurement from posteroanterior radiographs was developed using active shape models. Validity and reliability of the automated system against a manual and semiautomated measurement method was conducted by two examiners each performing measurements on three occasions from a test set (N = 22). A training set (N = 47) of radiographs representative of curves seen in a scoliosis clinic was used to train the software to recognize vertebrae from T4 to L4. Images with a maximum Cobb angle between 20 degrees and 50 degrees , excluding surgical cases, were selected for training and test sets. Automated Cobb angles were calculated using best-fit slopes of the detected vertebrae endplates. Intraclass correlation coefficient (ICC) and standard error of measurement (SEM) showed high intraexaminer (ICC > 0.90, SEM 2 degrees -3 degrees ) and interexaminer (ICC > 0.82, SEM 2 degrees -4 degrees ), but poor intermethod reliability (ICC = 0.30, SEM 8 degrees -9 degrees ). The automated method underestimated large curves. The reliability improved (ICC = 0.70, SEM 4 degrees -5 degrees ) with exclusion of the four largest curves (>40 degrees ) in the test set. The automated method was reliable for moderate-sized curves, and did detect vertebrae in larger curves with a modified training set of larger curves. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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