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Thoracoscopic lobectomy for lung cancer in a patient with a partial anomalous pulmonary venous connection: a case report

Overview of attention for article published in Journal of Cardiothoracic Surgery, August 2016
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Title
Thoracoscopic lobectomy for lung cancer in a patient with a partial anomalous pulmonary venous connection: a case report
Published in
Journal of Cardiothoracic Surgery, August 2016
DOI 10.1186/s13019-016-0527-7
Pubmed ID
Authors

Kenji Inafuku, Takao Morohoshi, Hiroyuki Adachi, Keisuke Koumori, Munetaka Masuda

Abstract

A partial anomalous pulmonary venous connection is a rare congenital defect in which blood from the pulmonary vein is returned to the right atrium. Asymptomatic patients with a partial anomalous pulmonary venous connection with a small left-to-right shunt do not require surgical treatment. If such patients require a major lung resection, the surgical procedure could precipitate fetal right heart failure if the anomalous venous connection remains uncorrected. A 59-year-old man was found to have an abnormal shadow on chest roentgenogram. Chest computed tomography imaging showed a mass in the right upper lobe. At the same time, we incidentally found an anomalous vessel. We diagnosed the abnormality as a partial anomalous pulmonary venous connection. Because the mass may have been lung cancer, a right upper lobectomy was performed using video-assisted thoracoscopic surgery. The right upper lobe vein drained into the superior vena cava. The anomaly was not corrected and the surgery was successful. His postoperative course was uneventful without cardiac failure. Before performing a major lung resection, surgeons should be aware of this rare anomaly and carefully interpret clinical images of all pulmonary veins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Other 2 25%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Readers by discipline Count As %
Medicine and Dentistry 5 63%
Computer Science 2 25%
Agricultural and Biological Sciences 1 13%