Comparison between Weightbearing-CT semiautomatic and manual measurements in Hallux Valgus.


Journal

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons
ISSN: 1460-9584
Titre abrégé: Foot Ankle Surg
Pays: France
ID NLM: 9609647

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 01 11 2021
revised: 11 01 2022
accepted: 19 02 2022
pubmed: 14 3 2022
medline: 15 6 2022
entrez: 13 3 2022
Statut: ppublish

Résumé

Radiographic measurements are an essential tool to determine the appropriate surgical treatment and outcome for Hallux Valgus (HV). HV deformity is best evaluated by weight-bearing computed tomography (WBCT). The objective was (1) to assess the reliability of WBCT computer-assisted semi-automatic imaging measurements in HV, (2) to compare semi-automatic with manual measurements in the setting of an HV, and (3) to compare semi-automatic measurements between HV and control group. In this retrospective IRB (ID# 201904825) approved study, we assessed patients with hallux valgus deformity. The sample size calculation was based on the hallux valgus angle (HVA). Thus to obtain the 0.8 power, including 26 feet with HV in this study, was necessary. Our control group consisted of 19 feet from 19 patients without HV. Raw multiplanar data was evaluated using software CubeVue®. In the axial plane, hallux valgus angle (HVA), intermetatarsal angle (IMA), and interphalangeal angle (IPA) were measured. The semiautomatic 3D measurements were performed using the Bonelogic®Software. Inter-rater reliabilities were performed using ICC. Agreement between methods was tested using the Bland-Altman plots. The difference between Patologic and Control cases using semi-automatic measurements was assessed with the Wilcoxon signed-rank test. Alpha risk was set to 5% (α = 0.05). P ≤ 0.05 were considered significant. Reliabilities utilizing ICC were over 0.80 for WBCT manual measurements and WBCT semi-automatic readings. Inter and intraobserver agreement for Manual and Semi-automatic WBCT measurements demonstrated excellent reliability. Semi-automatic measurements are reproducible and comparable to measurements performed manually. The software differentiated pathological from non-pathological conditions when subjected to semi-automatic measurements. The development of advanced semi-automatic segmentation software with minimal user intervention is essential for the establishment of big data and can be integrated into clinical practice, facilitating decision-making.

Sections du résumé

BACKGROUND BACKGROUND
Radiographic measurements are an essential tool to determine the appropriate surgical treatment and outcome for Hallux Valgus (HV). HV deformity is best evaluated by weight-bearing computed tomography (WBCT). The objective was (1) to assess the reliability of WBCT computer-assisted semi-automatic imaging measurements in HV, (2) to compare semi-automatic with manual measurements in the setting of an HV, and (3) to compare semi-automatic measurements between HV and control group.
METHODS METHODS
In this retrospective IRB (ID# 201904825) approved study, we assessed patients with hallux valgus deformity. The sample size calculation was based on the hallux valgus angle (HVA). Thus to obtain the 0.8 power, including 26 feet with HV in this study, was necessary. Our control group consisted of 19 feet from 19 patients without HV. Raw multiplanar data was evaluated using software CubeVue®. In the axial plane, hallux valgus angle (HVA), intermetatarsal angle (IMA), and interphalangeal angle (IPA) were measured. The semiautomatic 3D measurements were performed using the Bonelogic®Software. Inter-rater reliabilities were performed using ICC. Agreement between methods was tested using the Bland-Altman plots. The difference between Patologic and Control cases using semi-automatic measurements was assessed with the Wilcoxon signed-rank test. Alpha risk was set to 5% (α = 0.05). P ≤ 0.05 were considered significant.
RESULTS RESULTS
Reliabilities utilizing ICC were over 0.80 for WBCT manual measurements and WBCT semi-automatic readings. Inter and intraobserver agreement for Manual and Semi-automatic WBCT measurements demonstrated excellent reliability.
CONCLUSIONS CONCLUSIONS
Semi-automatic measurements are reproducible and comparable to measurements performed manually. The software differentiated pathological from non-pathological conditions when subjected to semi-automatic measurements. The development of advanced semi-automatic segmentation software with minimal user intervention is essential for the establishment of big data and can be integrated into clinical practice, facilitating decision-making.

Identifiants

pubmed: 35279395
pii: S1268-7731(22)00043-1
doi: 10.1016/j.fas.2022.02.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

518-525

Informations de copyright

Copyright © 2022 European Foot and Ankle Society. Published by Elsevier Ltd. All rights reserved.

Auteurs

Kepler Alencar Mendes de Carvalho (KAM)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA. Electronic address: kepler-carvalho@uiowa.edu.

Jennifer Sander Walt (JS)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA. Electronic address: jennifer-walt@uiowa.edu.

Amanda Ehret (A)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA. Electronic address: amanda-ehret@uiowa.edu.

Tutku Erim Tazegul (TE)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA. Electronic address: tutku-tazegul@uiowa.edu.

Kevin Dibbern (K)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA. Electronic address: kevin-dibbern@uiowa.edu.

Nacime Salomao Barbachan Mansur (NSB)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA; Federal University of Sao Paulo, Department of Orthopedics and Traumatology, Sao Paulo, SP, Brazil. Electronic address: nacime@uol.com.br.

Matthieu Lalevée (M)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA; Department of Orthopedic Surgery, Rouen University Hospital, Rouen, France. Electronic address: matthieu-lalevee@uiowa.edu.

Cesar de Cesar Netto (C)

University of Iowa, Carver College of Medicine, Department of Orthopedics and Rehabilitation, Iowa City, IA, USA. Electronic address: cesar-netto@uiowa.edu.

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