2007
DOI: 10.2460/ajvr.68.5.517
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Identification of infrared absorption spectral characteristics of synovial fluid of horses with osteochondrosis of the tarsocrural joint

Abstract: The disease-associated characteristics of infrared spectra of synovial fluid from joints with osteochondrosis may be exploited via appropriate feature selection and classification algorithms to differentiate joints with osteochondrosis from those of control joints. Further study with larger sample size including age-, breed-, and sex-matched control horses would further validate the clinical value of infrared spectroscopy for the diagnosis of osteochondrosis in horses.

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Cited by 20 publications
(31 citation statements)
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“…Diagnostic performance is defined by sensitivity ϭ TP/(TP ϩ FN), specificity ϭ TN/(TN ϩ FP), positive predictive value ϭ TP/(TP ϩ FP), and total accuracy ϭ (TP ϩ TN)/(TP ϩ TN ϩ FP ϩ FN), given the number of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN). A linear discriminant function was used to classify the data with STATA, version 9.2 (STATA, College Station, TX), and the performance of the FTIR model to classify squamous and gastric mucosa was determined by using the leave-one-out, cross-validation technique (35).…”
Section: [4]mentioning
confidence: 99%
“…Diagnostic performance is defined by sensitivity ϭ TP/(TP ϩ FN), specificity ϭ TN/(TN ϩ FP), positive predictive value ϭ TP/(TP ϩ FP), and total accuracy ϭ (TP ϩ TN)/(TP ϩ TN ϩ FP ϩ FN), given the number of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN). A linear discriminant function was used to classify the data with STATA, version 9.2 (STATA, College Station, TX), and the performance of the FTIR model to classify squamous and gastric mucosa was determined by using the leave-one-out, cross-validation technique (35).…”
Section: [4]mentioning
confidence: 99%
“…57 The disease manifests itself through the failure of growing bones to ossify, resulting in the development of intraarticular lesions. While the standard of care is orthopedic assessment and radiography, the time and cost involved prohibit screening of asymptomatic horses that may nevertheless have a subclinical disease.…”
Section: Equine Joint Diseasementioning
confidence: 99%
“…Various synovial fluid and serum assays can provide insights into the pathogenesis of the disease and assist in diagnosis; however, they are expensive and there is no single test suitable for routine screening and diagnosis. These observations highlight the need for a rapid screening test, and preliminary indications are that such a test can be developed based upon mid-IR spectroscopy of synovial fluid -a diagnostic algorithm was developed 57 following the same procedure as that described above in the context of traumatic arthritis. While the overall classification success rate was modest, approaching 80% in crossvalidation, the success rate was highest for the young horses -ages 2 and younger -for which the test would be most useful.…”
Section: Equine Joint Diseasementioning
confidence: 99%
“…21,22 This relationship has been exploited to develop IR spectroscopic analytical methods to quantify various serum analytes of diagnostic interest and diagnostic tests based upon the direct classification of the IR spectra. [21][22][23][24][25][26] Within this approach, the absorption patterns within the IR spectra of the samples are characterised as 'biochemical fingerprints' that correlate directly with the presence or absence of disease. 21,[24][25][26] The general approach to developing these tests is to acquire spectra for as large a number of appropriate biological samples as possible from subjects with the disease of interest and from a population of control animals.…”
mentioning
confidence: 99%
“…[21][22][23][24][25][26] Within this approach, the absorption patterns within the IR spectra of the samples are characterised as 'biochemical fingerprints' that correlate directly with the presence or absence of disease. 21,[24][25][26] The general approach to developing these tests is to acquire spectra for as large a number of appropriate biological samples as possible from subjects with the disease of interest and from a population of control animals. Pattern recognition approaches are then used to seek IR spectroscopic features that discriminate between the spectra within the diseased group and the controls.…”
mentioning
confidence: 99%