Literature DB >> 22854317

Current clinical practice in postoperative endovascular aneurysm repair imaging surveillance.

Heiko Uthoff1, Constantino Peña, Barry T Katzen, Ripal Gandhi, James West, James F Benenati, Philipp Geisbüsch.   

Abstract

PURPOSE: To investigate the current clinical practice in postoperative endovascular aneurysm repair (EVAR) imaging surveillance.
MATERIALS AND METHODS: Corresponding authors of EVAR publications during the years 2006-2011 and subscribers to an endovascular journal were invited to complete a 27-question online survey related to institutional demographics, standard post-EVAR imaging surveillance, and imaging protocols in special circumstances (eg, renal insufficiency).
RESULTS: The survey was completed by 515 of 9,631 physicians performing EVAR from 52 countries. Of respondents, 65.3% were affiliated with experienced centers where EVAR has been performed for > 10 years or with > 50 EVAR procedures performed per year. Computed tomography (CT) angiography was the modality used most often for standard surveillance with a maximum time interval between studies of 12 months in 78.8% of centers out to 5 years. Experienced centers were more likely to delay follow-up imaging to 1 year after an unremarkable initial post-EVAR imaging study (P < .001), to extend surveillance intervals > 12 months (P = .043), and to use ultrasound (P < .01) for surveillance. After the detection of a type II endoleak, CT angiography was favored for follow-up by 59.4% of the respondents. Experienced centers were more likely to favor ultrasound (P = .006) and to schedule this follow-up examination later (after 6-12 months, P < .001). Of respondents, 62.8% used a glomerular filtration rate threshold of < 30 mL/min for not performing contrast-enhanced CT scan. In patients with renal insufficiency, most respondents performed ultrasound with or without a concomitant noncontrast CT scan.
CONCLUSIONS: CT is the most frequently used method of long-term surveillance after EVAR. Use of ultrasound for long-term surveillance, extension of follow-up time intervals, or both were most often reported in experienced centers.
Copyright © 2012 SIR. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22854317     DOI: 10.1016/j.jvir.2012.06.003

Source DB:  PubMed          Journal:  J Vasc Interv Radiol        ISSN: 1051-0443            Impact factor:   3.464


  7 in total

Review 1.  Type II endoleaks: diagnosis and treatment algorithm.

Authors:  Yolanda Bryce; Brian Schiro; Kyle Cooper; Suvranu Ganguli; Mamdouh Khayat; Cuong Ken Lam; Rahmi Oklu; Geogy Vatakencherry; Ripal T Gandhi
Journal:  Cardiovasc Diagn Ther       Date:  2018-04

2.  Compliance of postendovascular aortic aneurysm repair imaging surveillance.

Authors:  Ali F AbuRahma; Michael Yacoub; Stephen M Hass; Joseph AbuRahma; Albeir Y Mousa; L Scott Dean; Ravi Viradia; Patrick A Stone
Journal:  J Vasc Surg       Date:  2016-01-09       Impact factor: 4.268

3.  An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study.

Authors:  Alan Karthikesalingam; Omneya Attallah; Xianghong Ma; Sandeep Singh Bahia; Luke Thompson; Alberto Vidal-Diez; Edward C Choke; Matt J Bown; Robert D Sayers; Matt M Thompson; Peter J Holt
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

Review 4.  Contrast-enhanced ultrasound: clinical applications in patients with atherosclerosis.

Authors:  Arend F L Schinkel; Mathias Kaspar; Daniel Staub
Journal:  Int J Cardiovasc Imaging       Date:  2015-07-24       Impact factor: 2.357

5.  Identification of Factors Influencing Cumulative Long-Term Radiation Exposure in Patients Undergoing EVAR.

Authors:  G Kalender; Milan Lisy; U A Stock; A Endisch; A Kornberger
Journal:  Int J Vasc Med       Date:  2017-11-09

6.  What is the role of contrast-enhanced ultrasound in the evaluation of the endoleak of aortic endoprostheses? A comparison between CEUS and CT on a widespread scale.

Authors:  E David; V Cantisani; H Grazhdani; L Di Marzo; L Venturini; F Fanelli; M Di Segni; N Di Leo; L Brunese; F Calliada; M Ciccariello; A Bottari; G Ascenti; F D'Ambrosio
Journal:  J Ultrasound       Date:  2016-11-23

7.  Machine learning for endoleak detection after endovascular aortic repair.

Authors:  Salmonn Talebi; Mohammad H Madani; Ali Madani; Ashley Chien; Jody Shen; Domenico Mastrodicasa; Dominik Fleischmann; Frandics P Chan; Mohammad R K Mofrad
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.996

  7 in total

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