Mar 07, 2020
Diagnostic accuracy of a radiographic device to assess cranial tibial translation in dogs: validation protocol
- Adolfo Maria Tambella1,
- Stefano Martin1,
- Luca Omini2,
- Cecilia Vullo1,
- Anna Rita Attili1
- 1University of Camerino, School of Biosciences and Veterinary Medicine, Matelica (MC), Italy;
- 2Clinica Veterinaria Omini, Chiaravalle (AN), Italy
External link: https://doi.org/10.1371/journal.pone.0228621
Protocol Citation: Adolfo Maria Tambella, Stefano Martin, Luca Omini, Cecilia Vullo, Anna Rita Attili 2020. Diagnostic accuracy of a radiographic device to assess cranial tibial translation in dogs: validation protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.bdczi2x6
Manuscript citation:
Tambella AM, Omini L, Attili AR, Vullo C, Martin S (2020) Evaluation of cranial tibial translation in dogs: Diagnostic accuracy of radiographic method using a simple device. PLoS ONE 15(2): e0228621. (ISSN: 1932-6203) (DOI: 10.1371/journal.pone.0228621) https://doi.org/10.1371/journal.pone.0228621
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: March 07, 2020
Last Modified: March 07, 2020
Protocol Integer ID: 33913
Keywords: cranial tibial translation in dog, evaluation of cranial tibial translation, cranial tibial translation, diagnostic accuracy of radiographic method, diagnostic accuracy, radiographic method, radiographic device, validation protocol
Abstract
This protocol describes a validation procedure to assess the diagnostic accuracy of a radiographic method using a simple device, specifically designed to quantify the cranial tibial translation in dogs.
This protocol was used in the following publication:
Tambella AM, Omini L, Attili AR, Vullo C, Martin S (2020) Evaluation of cranial tibial translation in dogs: Diagnostic accuracy of radiographic method using a simple device. PLoS ONE 15(2): e0228621. (ISSN: 1932-6203) (DOI: 10.1371/journal.pone.0228621)
Troubleshooting
OBJECTIVE
This study was designed to objectively quantify the in vivo cranial canine stifle translation using a radiolucent translator device keeping fixed the joint angle during the thrust. The hypothesis was that changes in cranial cruciate ligament (CrCL) integrity would result in detectable changes in tibial translation. If the hypothesis is confirmed, the validated radiographic method could be included in evaluation protocols of orthopaedic studies, potentially representing a concrete help for researchers and clinicians in the specific area.
ANIMAL RECRUITMENT
Recruit dogs with naturally occurring, unilateral, complete CrCL rupture and dogs with intact CrCL.
UNIT OF ANALYSIS
Consider the single stifle as unit of analysis.
ALLOCATION IN GROUPS
Allocate population in three group of stifles:
-canine stifles with intact CrCL (healthy, Group HE);
-canine stifles with naturally occurring, unilateral, complete CrCL rupture (pathological, Group PA);
-contralateral stifles of affected dogs (contralateral, Group CO).
MEASUREMENT OF THE NORMALIZED TIBIAL TRANSLATION (ΔN)
Calculate normalized tibial translation (ΔN) using a special radiographic translator device.
IDENTIFICATION OF CUT-OFF VALUES
Identificate of ΔN cut-off between PA and clinically healthy stifles: the sensitivity is privileged identifying all the pathologic stifles avoiding false negatives.
Identificate of the ΔN cut-off between HE and CO groups: an equal weight is given to sensitivity and specificity, obtaining the cut-off using receiver-operating characteristic (ROC) methodology.
CALCULATION OF OUTCOME PARAMETERS OF DIAGNOSTIC ACCURACY
Compare data from the three groups calculating sensitivity, specificity, positive and negative predictive values, accuracy and ROC analysis with measurement of area under the ROC curve (AUC).
EVALUATE THRESHOLD AND PREDICTIVITY OF ΔN ON GROUPS
Use generalized linear mixed models (GLMM), with binomial distribution family and logit link, to evaluate thresholds and predictivity of ΔN on groups, considering the “group” as fixed factor and the “ID of the dog” as random factor. Build the ROC curves using the predictions of the GLMMs.
QUANTIFY THE DIFFERENCES OF ΔN ON THE THREE GROUPS
Use a linear mixed model (LMM) fitted considering “group” and “DJD” as fixed factors and the “ID of the dog” as random factor to quantify the differences of ΔN on the three groups. Perform a post-hoc multiple comparisons of means with Tukey contrasts test.
EVALUATE POTENTIAL WITHIN-DOG ASSOCIATION
Use a linear model with “time” since CrCL rupture and “DJD” (degenerative joint disease) as predictors, together with their interaction, to evaluate potential within-dog association between joint instability and chronicity or the presence of DJD. Obtain significance of variables with family-wise confidence interval estimation.
REFERENCE
This protocol was validated in the following article:
Tambella AM, Omini L, Attili AR, Vullo C, Martin S (2020) Evaluation of cranial tibial translation in dogs: Diagnostic accuracy of radiographic method using a simple device. PLoS ONE 15(2): e0228621. (ISSN: 1932-6203) (DOI: 10.1371/journal.pone.0228621)