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Measuring the greater curvature length of virtual stent graft can provide accurate prediction of stent graft position for thoracic endovascular aortic repair.
Iwakoshi, Shinichi; Ichihashi, Shigeo; Inoue, Takeshi; Inoue, Takashi; Sakuragi, Futoshi; Sakaguchi, Shoji; Kichikawa, Kimihiko.
Afiliação
  • Iwakoshi S; Department of Radiology, Nara Medical University, Kashihara, Japan. Electronic address: shinichi18548342@gmail.com.
  • Ichihashi S; Department of Radiology, Nara Medical University, Kashihara, Japan.
  • Inoue T; Department of Central Radiology, Nara Medical University, Kashihara, Japan.
  • Inoue T; Institute for Clinical and Translational Science, Nara Medical University, Kashihara, Japan.
  • Sakuragi F; IT Development Division, Medical System Research & Development Center, Fujifilm Corporation, Tokyo, Japan.
  • Sakaguchi S; Department of Radiology, Matsubara Tokusyukai Hospital, Matsubara, Japan.
  • Kichikawa K; Department of Radiology, Nara Medical University, Kashihara, Japan.
J Vasc Surg ; 69(4): 1021-1027, 2019 Apr.
Article em En | MEDLINE | ID: mdl-30528412
ABSTRACT

OBJECTIVE:

The objective of this study was to assess the accuracy of predicting stent graft position for thoracic endovascular aortic repair by measuring three lengths of the virtual stent graft smaller curvature (SC), center lumen line (CL), and greater curvature (GC).

METHODS:

From January 2012 to December 2016, patients treated at our institution were analyzed retrospectively. Patients who were treated with more than two devices, patients treated for aortic dissection, and cases without complete preoperative or postoperative computed tomography (CT) data were excluded. From the preoperative CT data, the virtual stent graft image based on the SC (SCVS) was created so that its SC length matched that of the stent graft actually used. In the same manner, virtual stent graft images based on the CL (CLVS) and GC (GCVS) were created. These virtual stent graft images were created using SYNAPSE VINCENT software (Fujifilm Co, Tokyo, Japan) and superimposed on the postoperative CT image to measure the misalignment between these virtual stent graft images and the actual stent graft. These misalignments were compared using Wilcoxon signed rank sum test. In addition, the actual length (AL) of the stent graft was measured on the basis of the CL from postoperative CT data and compared with its original length (OL).

RESULTS:

A total of 35 cases were analyzed. Twenty-six patients were men. The average age of the patients was 72.4 ± 13.0 years. The proximal landing zone were located at the descending aorta (n = 11) and the aortic arch (n = 24). The misalignment between SCVS, CLVS, and GCVS and actual stent graft position was -47.8 ± 18.1 mm, -21.5 ± 9.4 mm, and 5.3 ± 7.4 mm, respectively. The difference in means between the three groups was significant (P < .001). The relationship between the AL based on CL and OL was represented by the formula AL = OL * 0.92 - 0.05 (in the descending aorta) and AL = OL * 0.77 + 9.85 (in the aortic arch).

CONCLUSIONS:

Compared with CLVS and SCVS, GCVS was the most accurate predictor of stent graft position for thoracic endovascular aortic repair.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aorta Torácica / Desenho de Prótese / Prótese Vascular / Stents / Aneurisma da Aorta Torácica / Implante de Prótese Vascular / Procedimentos Endovasculares / Dissecção Aórtica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aorta Torácica / Desenho de Prótese / Prótese Vascular / Stents / Aneurisma da Aorta Torácica / Implante de Prótese Vascular / Procedimentos Endovasculares / Dissecção Aórtica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article