Literature DB >> 21651837

Can preoperative computed tomography of the chest predict completeness of the major pulmonary fissure at surgery?

Colin Schieman1, John H MacGregor, Elizabeth Kelly, Andrew Graham, Sean P McFadden, Gary Gelfand, Sean C Grondin.   

Abstract

BACKGROUND: An incomplete major pulmonary fissure can make anatomic lung resection technically more difficult and may increase the risk of complications, such as prolonged postoperative air leak. The objective of this study was to determine if preoperative computed tomography (CT) of the chest could accurately predict the completeness of the major pulmonary fissure observed at the time of surgery.
METHODS: From October 2008 to June 2009, patients at a single university institution were enrolled if they underwent surgery for a pulmonary nodule, mass or known cancer. At the time of surgery, completeness of the major pulmonary fissure was graded 1 if pulmonary lobes were entirely separate, 2 if the visceral cleft was complete with an exposed pulmonary artery at the base with some parenchyma fusion, 3 if the visceral cleft was only evident for part of the fissure without a visible pulmonary artery and 4 if the fissure was absent. The preoperative CT scan of each patient was graded by a single, blinded chest radiologist using the same scale. We used the Pearson χ2 test with 2-tailed significance to test the independence of the operative and radiologic grading.
RESULTS: In 48% (29 of 61) of patients, the radiologic and operative grading were the same. Of those graded differently, 94% (30 of 32) were within 1 grade. Despite this agreement, we observed no statistically significant correlation between the operative and radiologic grading (p = 0.24).
CONCLUSION: The major fissure can often be well-visualized on a preoperative CT scan, but preoperative CT cannot accurately predict the completeness of the major pulmonary fissure discovered at surgery.

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Year:  2011        PMID: 21651837      PMCID: PMC3191899          DOI: 10.1503/cjs.007910

Source DB:  PubMed          Journal:  Can J Surg        ISSN: 0008-428X            Impact factor:   2.089


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