Literature DB >> 26195005

Use of computed tomography to compare two femoral head and neck excision ostectomy techniques as performed by two novice veterinarians.

M D O'Donnell, J J Warnock1, G Bobe, R P Scholz, J E Wiest, S Nemanic.   

Abstract

OBJECTIVES: To compare the results of femoral head and neck excision (FHNE) ostectomy performed by two novice veterinarians using an osteotome and mallet or microsagittal saw.
METHODS: In this ex vivo cadaveric study, hindlimbs of eight canine cadavers were randomized to FHNE with osteotome or micro sagittal saw as performed by two recently graduated veterinarians. The hindimbs were imaged by computed tomography (CT) before and after the osteotomy. Post FHNE CT images were evaluated by a board certified radiologist blinded to the ostectomy technique for assessment of the number of bone fragments, fissures, smoothness of osteotomy margination, and volume of residual femoral neck.
RESULTS: Femoral head and neck excision performed with the osteotome produced more peri-ostectomy bone fragments, cortical fissures, irregular margins, and residual femoral neck volume, compared with osteotomy using a saw. CLINICAL RELEVANCE: Compared to FHNE performed with a sagittal saw, osteotome FHNE resulted in a greater bone trauma and residual neck bone volume, which would require post-ostectomy modification in a clinical setting.

Entities:  

Keywords:  Computed tomography; coxofemoral joint; femoral head and neck excision; osteotome; sagittal saw

Mesh:

Year:  2015        PMID: 26195005     DOI: 10.3415/VCOT-14-12-0183

Source DB:  PubMed          Journal:  Vet Comp Orthop Traumatol        ISSN: 0932-0814            Impact factor:   1.358


  1 in total

1.  Use of clinical and computed tomography findings to assess long-term unsatisfactory outcome after femoral head and neck ostectomy in four large breed dogs.

Authors:  Ciprian Ober; Cosmin Pestean; Lucia Bel; Marian Taulescu; Joshua Milgram; Adrian Todor; Rodica Ungur; Mirela Leșu; Liviu Oana
Journal:  Acta Vet Scand       Date:  2018-05-10       Impact factor: 1.695

  1 in total

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