BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
8/27/2014 7:11:00 PM | Browse: 1063 | Download: 1451
 |
Received |
|
2012-09-05 15:07 |
 |
Peer-Review Started |
|
2012-09-06 08:42 |
 |
First Decision by Editorial Office Director |
|
|
 |
Return for Revision |
|
2012-11-29 09:45 |
 |
Revised |
|
2012-12-11 21:11 |
 |
Publication Fee Transferred |
|
|
 |
Second Decision by Editor |
|
2012-12-24 13:57 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2012-12-25 02:02 |
 |
Articles in Press |
|
|
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2013-03-15 01:27 |
 |
Publish the Manuscript Online |
|
2013-03-22 14:57 |
| Category |
Cardiac & Cardiovascular Systems |
| Manuscript Type |
Autobiography |
| Article Title |
Manifold benefits of choosing a minimally fluoroscopic catheter ablation approach
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Michela Casella, Antonio Dello Russo, Gaetano Fassini, Daniele Andreini, Pasquale De Iuliis, Saima Mushtaq, Stefano Bartoletti, Stefania Riva and Claudio Tondo |
| Funding Agency and Grant Number |
|
| Corresponding Author |
Michela Casella, MD, PhD, Cardiac Arrhythmia Research Centre, Centro Cardiologico Monzino, IRCCS, Via Parea 4, 20138 Milan, Italy. michela.casella@ccfm.it
|
| Key Words |
Supraventricular arrhythmias; Accessory pathway; Radiofrequency ablation; Electroanatomical mapping; Radiation exposure |
| Core Tip |
|
| Publish Date |
2013-03-22 14:57 |
| Citation |
Casella M, Dello Russo A, Fassini G, Andreini D, De Iuliis P, Mushtaq S, Bartoletti S, Riva S, Tondo C. Manifold benefits of choosing a minimally fluoroscopic catheter ablation approach. World J Cardiol 2013; 5(2): 8-11 |
| URL |
http://www.wjgnet.com/1949-8462/full/v5/i2/8.htm |
| DOI |
http://dx.doi.org/10.4330/wjc.v5.i2.8 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.