Literature DB >> 28067755

Vascular Structures of the Lateral Wall of the Maxillary Sinus: A Vascular Labeling Technique.

José Caraballo1, Alba Gálvez, María Cristina Manzanares-Céspedes, Iván Valdivia-Gandur, Rui Figueiredo, Eduard Valmaseda-Castellón.   

Abstract

PURPOSE: Sinus floor augmentation is a common procedure in implant dentistry. However, several intraoperative complications can occur during this procedure, such as bleeding from the lateral wall of the maxillary sinus. The aim of this study was to describe the vascular structures of the lateral wall of the maxillary sinus using a vascular labeling technique.
MATERIALS AND METHODS: Ten cadaveric specimens were prepared by the vascular labeling technique. Liquid latex was injected into the large vessels of the head, and the lateral wall of the maxillary sinus was exposed by dissection. The diameter of the vessels and their distance from the alveolar ridge (AR) were recorded.
RESULTS: Blood vessels could be observed in all the dissected specimens (100%). The mean distance from the lower edge of the blood vessels to the AR was 18.5 mm (SD 3.31 mm).
CONCLUSIONS: The vascular labeling technique detects maxillary sinus vessels in a predictable and effective way. These structures are clinically relevant because they are located in the area where the lateral window is usually created in sinus augmentation procedures and can cause profuse bleeding.

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Year:  2017        PMID: 28067755     DOI: 10.1097/ID.0000000000000529

Source DB:  PubMed          Journal:  Implant Dent        ISSN: 1056-6163            Impact factor:   2.454


  2 in total

1.  An Anatomical Study of Nerves at Risk During Minimally Invasive Hallux Valgus Surgery.

Authors:  Miki Dalmau-Pastor; Jordi Vega; Francesc Malagelada; Fernando Peña; Maria Cristina Manzanares-Céspedes
Journal:  J Vis Exp       Date:  2018-02-17       Impact factor: 1.355

2.  Latex-injected, non-decapitated, saturated salt method-embalmed cadaver technique development and application as a head and neck surgery training model.

Authors:  Anuch Durongphan; Songsak Suksantilap; Nutthanun Panrong; Aimpat Aungsusiripong; Apipat Wiriya; Sasiprapa Pisittrakoonporn; Witchate Pichaisak; Benjaporn Pamornpol
Journal:  PLoS One       Date:  2022-01-20       Impact factor: 3.240

  2 in total

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