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.
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.
Authors: George N Kouvelos; Nektario Papa; Christos Nassis; Nikolaos Xiropotamos; George Papadopoulos; Miltiadis I Matsagkas Journal: Case Rep Med Date: 2011-06-16
Authors: Daniel A Carr; Andrey A Volkov; David L Rhoiney; Pradeep Setty; Ryan J Barrett; Roderick Claybrooks; Peter L Bono; Doris Tong; Teck M Soo Journal: Global Spine J Date: 2017-04-06