Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency

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Standard

Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency. / Franco-Gonçalo, Pedro; Moreira da Silva, Diogo; Leite, Pedro; Alves-Pimenta, Sofia; Colaço, Bruno; Ferreira, Manuel; Gonçalves, Lio; Filipe, Vítor; McEvoy, Fintan; Ginja, Mário.

I: Animals, Bind 12, Nr. 17, 2201, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Franco-Gonçalo, P, Moreira da Silva, D, Leite, P, Alves-Pimenta, S, Colaço, B, Ferreira, M, Gonçalves, L, Filipe, V, McEvoy, F & Ginja, M 2022, 'Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency', Animals, bind 12, nr. 17, 2201. https://doi.org/10.3390/ani12172201

APA

Franco-Gonçalo, P., Moreira da Silva, D., Leite, P., Alves-Pimenta, S., Colaço, B., Ferreira, M., Gonçalves, L., Filipe, V., McEvoy, F., & Ginja, M. (2022). Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency. Animals, 12(17), [2201]. https://doi.org/10.3390/ani12172201

Vancouver

Franco-Gonçalo P, Moreira da Silva D, Leite P, Alves-Pimenta S, Colaço B, Ferreira M o.a. Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency. Animals. 2022;12(17). 2201. https://doi.org/10.3390/ani12172201

Author

Franco-Gonçalo, Pedro ; Moreira da Silva, Diogo ; Leite, Pedro ; Alves-Pimenta, Sofia ; Colaço, Bruno ; Ferreira, Manuel ; Gonçalves, Lio ; Filipe, Vítor ; McEvoy, Fintan ; Ginja, Mário. / Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency. I: Animals. 2022 ; Bind 12, Nr. 17.

Bibtex

@article{a9a9849564d94cdb83c64132b020fd70,
title = "Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency",
abstract = "Accurate radiographic screening evaluation is essential in the genetic control of canine HD, however, the qualitative assessment of hip congruency introduces some subjectivity, leading to excessive variability in scoring. The main objective of this work was to validate a method-Hip Congruency Index (HCI)-capable of objectively measuring the relationship between the acetabulum and the femoral head and associating it with the level of congruency proposed by the F{\'e}d{\'e}ration Cynologique Internationale (FCI), with the aim of incorporating it into a computer vision model that classifies HD autonomously. A total of 200 dogs (400 hips) were randomly selected for the study. All radiographs were scored in five categories by an experienced examiner according to FCI criteria. Two examiners performed HCI measurements on 25 hip radiographs to study intra- and inter-examiner reliability and agreement. Additionally, each examiner measured HCI on their half of the study sample (100 dogs), and the results were compared between FCI categories. The paired t-test and the intraclass correlation coefficient (ICC) showed no evidence of a systematic bias, and there was excellent reliability between the measurements of the two examiners and examiners{\textquoteright} sessions. Hips that were assigned an FCI grade of A (n = 120), B (n = 157), C (n = 68), D (n = 38) and E (n = 17) had a mean HCI of 0.739 ± 0.044, 0.666 ± 0.052, 0.605 ± 0.055, 0.494 ± 0.070 and 0.374 ± 0.122, respectively (ANOVA, p < 0.01). Therefore, these results show that HCI is a parameter capable of estimating hip congruency and has the potential to enrich conventional HD scoring criteria if incorporated into an artificial intelligence algorithm competent in diagnosing HD.",
keywords = "congruency, dog, FCI scoring, hip dysplasia",
author = "Pedro Franco-Gon{\c c}alo and {Moreira da Silva}, Diogo and Pedro Leite and Sofia Alves-Pimenta and Bruno Cola{\c c}o and Manuel Ferreira and Lio Gon{\c c}alves and V{\'i}tor Filipe and Fintan McEvoy and M{\'a}rio Ginja",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
doi = "10.3390/ani12172201",
language = "English",
volume = "12",
journal = "Animals",
issn = "2076-2615",
publisher = "MDPI",
number = "17",

}

RIS

TY - JOUR

T1 - Acetabular Coverage Area Occupied by the Femoral Head as an Indicator of Hip Congruency

AU - Franco-Gonçalo, Pedro

AU - Moreira da Silva, Diogo

AU - Leite, Pedro

AU - Alves-Pimenta, Sofia

AU - Colaço, Bruno

AU - Ferreira, Manuel

AU - Gonçalves, Lio

AU - Filipe, Vítor

AU - McEvoy, Fintan

AU - Ginja, Mário

N1 - Publisher Copyright: © 2022 by the authors.

PY - 2022

Y1 - 2022

N2 - Accurate radiographic screening evaluation is essential in the genetic control of canine HD, however, the qualitative assessment of hip congruency introduces some subjectivity, leading to excessive variability in scoring. The main objective of this work was to validate a method-Hip Congruency Index (HCI)-capable of objectively measuring the relationship between the acetabulum and the femoral head and associating it with the level of congruency proposed by the Fédération Cynologique Internationale (FCI), with the aim of incorporating it into a computer vision model that classifies HD autonomously. A total of 200 dogs (400 hips) were randomly selected for the study. All radiographs were scored in five categories by an experienced examiner according to FCI criteria. Two examiners performed HCI measurements on 25 hip radiographs to study intra- and inter-examiner reliability and agreement. Additionally, each examiner measured HCI on their half of the study sample (100 dogs), and the results were compared between FCI categories. The paired t-test and the intraclass correlation coefficient (ICC) showed no evidence of a systematic bias, and there was excellent reliability between the measurements of the two examiners and examiners’ sessions. Hips that were assigned an FCI grade of A (n = 120), B (n = 157), C (n = 68), D (n = 38) and E (n = 17) had a mean HCI of 0.739 ± 0.044, 0.666 ± 0.052, 0.605 ± 0.055, 0.494 ± 0.070 and 0.374 ± 0.122, respectively (ANOVA, p < 0.01). Therefore, these results show that HCI is a parameter capable of estimating hip congruency and has the potential to enrich conventional HD scoring criteria if incorporated into an artificial intelligence algorithm competent in diagnosing HD.

AB - Accurate radiographic screening evaluation is essential in the genetic control of canine HD, however, the qualitative assessment of hip congruency introduces some subjectivity, leading to excessive variability in scoring. The main objective of this work was to validate a method-Hip Congruency Index (HCI)-capable of objectively measuring the relationship between the acetabulum and the femoral head and associating it with the level of congruency proposed by the Fédération Cynologique Internationale (FCI), with the aim of incorporating it into a computer vision model that classifies HD autonomously. A total of 200 dogs (400 hips) were randomly selected for the study. All radiographs were scored in five categories by an experienced examiner according to FCI criteria. Two examiners performed HCI measurements on 25 hip radiographs to study intra- and inter-examiner reliability and agreement. Additionally, each examiner measured HCI on their half of the study sample (100 dogs), and the results were compared between FCI categories. The paired t-test and the intraclass correlation coefficient (ICC) showed no evidence of a systematic bias, and there was excellent reliability between the measurements of the two examiners and examiners’ sessions. Hips that were assigned an FCI grade of A (n = 120), B (n = 157), C (n = 68), D (n = 38) and E (n = 17) had a mean HCI of 0.739 ± 0.044, 0.666 ± 0.052, 0.605 ± 0.055, 0.494 ± 0.070 and 0.374 ± 0.122, respectively (ANOVA, p < 0.01). Therefore, these results show that HCI is a parameter capable of estimating hip congruency and has the potential to enrich conventional HD scoring criteria if incorporated into an artificial intelligence algorithm competent in diagnosing HD.

KW - congruency

KW - dog

KW - FCI scoring

KW - hip dysplasia

U2 - 10.3390/ani12172201

DO - 10.3390/ani12172201

M3 - Journal article

C2 - 36077921

AN - SCOPUS:85137776612

VL - 12

JO - Animals

JF - Animals

SN - 2076-2615

IS - 17

M1 - 2201

ER -

ID: 320488416