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J Thorac Cardiovasc Surg 2006;132:466-467
© 2006 The American Association for Thoracic Surgery

Editorial

Artificial artificial intelligence: Surgeon intuition and computers to predict graft patency

Cardiothoracic and Vascular Surgery Services, Medical Center Hospital, Odessa, Tex.

Received for publication April 28, 2006; accepted for publication May 2, 2006.

^_* Address for reprints: Francis Duhaylongsod, MD, 750 W. 5th St., Odessa, TX 79763 (Email: duhay001@aol.com).

The first 20% of the full text of this article appears below.

Di Giammarco and colleagues¹ report in this issue a retrospective evaluation of intraoperative measurement of transit-time flow (TTF) to predict postoperative coronary artery bypass graft failure. During a 6-year period, 157 patients had both intraoperative TTF measurement and postoperative control angiography done within 1 year of coronary artery bypass grafting. After a mean follow-up of 6.7 ± 4.8 months, 266 grafts were patent (87.5%). Meaningful differences were observed between patent and obstructed grafts in maximum flow, mean flow (_mean), percentage of patients with _mean 15 mL/min or less, pulsatility index (PI), percentage of patients with PI at least 3.0, percentage of backward flow (%BF), and percentage of patients with %BF at least 3.0%. Moreover, . . . [Full Text of this Article]

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