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DOI 10.1111/jocs.17075

Медицинская библиотека · Journal of cardiac surgery · 2022

Evaluation of aortopulmonary window using virtual dissection of multidetector computed tomography angiography data sets.

Verma Mansi, Pandey Niraj Nirmal, Ramakrishnan Sivasubramanian, Jagia Priya

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Аннотация

AIM: The present study sought to evaluate the morphology and associated cardiovascular anomalies in patients with aortopulmonary window on virtual dissection of multidetector computed tomography (CT) angiography data sets.

MATERIAL AND

METHODS

We conducted a retrospective search of our departmental database from January 2014 to September 2021 to identify patients with aortopulmonary window and relevant information was extracted from the electronic case records and from routine examination as well as virtual dissection of CT data sets.

RESULTS

An aortopulmonary window was observed in 26 patients (20 males; 6 females). Based on location of the defect, a distal aortopulmonary window was the most common subtype, seen in 13/26 (50%) patients followed by a proximal, complete and intermediate subtypes seen in 7/26 (27%), 5/26 (19%) and 1/26 (4%) patients respectively. Associated ventricular septal defect was observed in 9/26 (34.6%) patients while an interrupted aortic arch was present in 5/26 (19.2%) patients. Tetralogy of Fallot was seen in 5/26 (19.2%) patients. Anomalous origin of right pulmonary artery from ascending aorta and crossed pulmonary arteries were seen in 2/26 (7.6%) patients each. An isolated aortopulmonary window without any simple/complex congenital anomaly was seen in 10/26 (38.5%) patients.

CONCLUSION

Aortopulmonary window is associated with a wide gamut of cardiovascular lesions, with ventricular septal defect being the commonest associated anomaly followed by tetralogy of Fallot and interrupted aortic arch respectively. Virtual dissection of multidetector CT angiography allows detailed anatomical evaluation of aortopulmonary window, allowing a clear visualization of the defect and associated cardiovascular anomalies.

Для цитирования: Verma Mansi, Pandey Niraj Nirmal, Ramakrishnan Sivasubramanian, Jagia Priya. Evaluation of aortopulmonary window using virtual dissection of multidetector computed tomography angiography data sets.. Journal of cardiac surgery. 2022. DOI: 10.1111/jocs.17075.

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