Preoperative trajectory planning for closed reduction of long-bone diaphyseal fracture using a computer-assisted reduction system.
Int J Med Robot
; 11(1): 58-66, 2015 Mar.
Article
em En
| MEDLINE
| ID: mdl-24677623
ABSTRACT
BACKGROUND:
Balancing reduction accuracy with soft-tissue preservation is a challenge in orthopaedics. Computer-assisted orthopaedic surgery (CAOS) can improve accuracy and reduce radiation exposure. However, previous reports have not summarized the fracture patterns to which CAOS has been applied.METHODS:
We used a CAOS system and a stereolithography model to define a new fracture classification. Twenty reduction tests were performed to evaluate the effectiveness of preoperative trajectory planning.RESULTS:
Twenty tests ran automatically and smoothly. Only three slight scratches occurred. Seventy-six path points represented displacement deviations of < 2 mm (average < 1 mm) and angulation deviation of < 1.5°.DISCUSSION:
Because of the strength of muscles, mechanical sensors are used to prevent iatrogenic soft-tissue injury. Secondary fractures are prevented mainly through preoperative trajectory planning. Based on our data, a 1 mm gap between the edges of fractures spikes is sufficient to avoid emergency braking from spike interference.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Procedimentos Ortopédicos
/
Cirurgia Assistida por Computador
/
Fraturas Ósseas
Tipo de estudo:
Evaluation_studies
Limite:
Humans
Idioma:
En
Revista:
Int J Med Robot
Ano de publicação:
2015
Tipo de documento:
Article
País de publicação:
ENGLAND
/
ESCOCIA
/
GB
/
GREAT BRITAIN
/
INGLATERRA
/
REINO UNIDO
/
SCOTLAND
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UK
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UNITED KINGDOM