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Demonstration of the Adamkiewicz artery by multidetector computed tomography angiography analysed with the open-source software OsiriX.

Submitted by holger on Sat, 2010/02/20 - 23:59
TitleDemonstration of the Adamkiewicz artery by multidetector computed tomography angiography analysed with the open-source software OsiriX.
Publication TypeJournal Article
Year of Publication2009
AuthorsMelissano, G, Bertoglio, L, Civelli, V, Amato, MAC, Coppi, G, Civilini, E, Calori, G, De Cobelli, F, Del Maschio, A, Chiesa, R
JournalEuropean journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Volume37
Issue4
Pagination395-400
Date Published2009 Apr
Abstract

OBJECTIVE: To evaluate the feasibility of the Adamkiewicz artery (AKA) detection by multidetector computed tomography (CT) data analysis without the need of a dedicated workstation, using low-cost hardware and the freeware OsiriX. METHODS: CT scans of 67 patients undergoing a thoracic or thoraco-abdominal aortic procedure between April 2006 and August 2008 were evaluated with respect to detection rate and AKA level and side using the OsiriX software version 3.2 on Mac OS X computer and compared to results obtained by standard workstation analysis, in a fully blinded analysis. The results were also compared with data compiled from a review of the English-language literature on this topic. RESULTS: (1) AKA identification showed a substantial agreement of 85.07% between the methods (k=0.636). (2) The comparison of AKA level showed a substantial agreement (weighted k=0.661), with consensus in 70.14%. (3) From the literature review, we found that recognition of the AKA was achieved in 466 of 555 cases (83.96%). (4) In 384 (83.3%) cases the AKA originated from a left intercostal artery. (5) The proposed method and literature-compiled data showed a similar AKA level distribution. CONCLUSIONS: Noninvasive AKA location with open-source software and low-cost hardware is feasible. The OsiriX software allows to effectively navigate through CT data not only to study the aorta, but also to detect the AKA, as in the case of the standard method and the literature data. Its availability and ease of use may contribute to make identification of the AKA part of the routine evaluation of CT scans in patients with aortic disease, even where dedicated workstations are not available, with potential benefits for planning therapeutic procedures.

Alternate JournalEur J Vasc Endovasc Surg
PubMed ID19230726
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