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Preoperative Pulmonary Vascular Morphology and Its Relationship to Postpneumonectomy Hemodynamics

Rationale and Objectives

Pulmonary edema and pulmonary hypertension are postsurgical complications of pneumonectomy that may represent the remaining pulmonary vasculature’s inability to accommodate the entirety of the cardiac output. Quantification of the aggregate pulmonary vascular cross-sectional area (CSA) has been used to study the development of pulmonary vascular disease in smokers. In this study, we applied this technique to demonstrate the potential utility of pulmonary vascular quantification in surgical risk assessment. Our hypothesis was that those subjects with the lowest aggregate vascular CSA in the nonoperative lung would be most likely to have elevated pulmonary vascular pressures in the postoperative period.

Materials and Methods

A total of 61 subjects with postoperative hemodynamics and adequate imaging were identified from 159 patients undergoing pneumonectomies for mesothelioma. The total CSA of blood vessels perpendicular to the plane of computed tomographic (CT) scan slices was computed for blood vessels <5 mm 2 (CSA 5 mm). This measurement expressed as a percentage of lung parenchyma area (CSA 5%) was compared to postoperative hemodynamic measurements obtained by right heart catheterization.

Results

In patients where a contrasted CT scan was used ( n = 26), CSA 5% was correlated with postoperative day 0 minimum cardiac index ( R = 0.37, P = .03) but not with the maximum pulmonary arterial pressures. In patients with noncontrast CT scans ( n = 35), CSA 5% was inversely correlated with postoperative day 0 maximum pulmonary arterial pressures ( R = 0.43, P = .03) but not with the minimum cardiac index. The preoperative perfusion fraction of the nonsurgical lung did not correlate with postoperative hemodynamics.

Conclusions

CSA of pulmonary vasculature with an area ≤5 mm 2 has potential in estimating the ability of pulmonary vascular bed to accommodate postsurgical changes in pneumonectomy.

A detailed preprocedure assessment of patients undergoing lung resection has become a key component for the estimation of perioperative risk . In the case of patients undergoing pneumonectomy, the goals of this evaluation is to predict postoperative lung function, the potential for ventilatory compromise, pulmonary edema, and Acute Respiratory Distress Syndrome (ARDS) . Such patients are also at an increased risk for the development of both transient elevations of pulmonary arterial pressures (PAPs) and sustained postoperative pulmonary hypertension . Previous studies suggest that preoperative pulmonary vascular resistance and intraoperative PAPs are predictive of postoperative respiratory failure and mortality . In another example, the risk of developing postoperative pulmonary edema and ARDS was related to the preoperative distribution of lung perfusion . In aggregate, the risk for developing postpneumonectomy complications appears to be related to the ability of the nonoperative lung to accommodate an increase in blood flow to the full cardiac output. Noninvasive identification of compromised pulmonary vasculature in the nonoperative lung may reduce morbidity and mortality associated with this procedure.

Our group has previously described a semiautomated quantification method to calculate the total cross-sectional area (CSA) of the pulmonary vasculature on computed tomographic (CT) scans of the chest. The objective of these efforts is to develop and refine techniques to characterize vascular architecture from imaging. Using these tools, we hypothesized that those subjects with the smallest vascular CSA in the nonoperative lung as assessed by preoperative CT scans would be at greatest risk for hemodynamic compromise in the immediate postoperative period. To investigate this hypothesis, we performed a secondary analysis of clinically acquired CT scans and hemodynamic data on subjects undergoing extrapleural pneumonectomy at our institution.

Methods

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Figure 1, Three slices selected from the computed tomographic scan of a patient before pneumonectomy. The region of interest is selected and thresholding is used to generate the binary images in the middle panels. In this case, circular objects with cross-sectional area (CSA) <5 mm 2 are selected and the overall CSA is counted and normalized by the area of the slice to obtain the CSA 5%.

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Results

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Figure 2, Sixty-one patients were selected from the 164 consecutive patients receiving a pneumonectomy for mesothelioma. Patients were excluded for not having imaging in the 6-month period before surgery at our institution, poor computed tomographic scan quality, and lack of hemodynamic data.

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Table 1

Demographic Data for 61 Subjects Undergoing Extrapleural Pneumonectomy

Demographics and Characteristics Without Contrast (I−) n = 35 With Contrast (I+) n = 26P Value Right pneumonectomy 21 (60%) 9 (35%) Left pneumonectomy 14 (40%) 17 (65%) .07 Age (years) 62.6 59.7 .51 Female 7 (20%) 7 (27%) .55 Positive smoking history 18 (51%) 9 (34%) .30 PY smoking history 11.5 9.8 .51 Maximum systolic PAPs POD 0 (SD) 41 mm Hg (7.5) 39 mm Hg (7.0) .12 Maximum systolic PAPs POD 1 (SD) 44 mm Hg (9.0) 44 mm Hg (8.0) .86 Minimum CI POD 0 (SD) 2.9 (0.9) 2.7 (0.8) .49 Minimum CI POD 1 (SD) 2.6 (0.7) 2.4 (0.4) .29 Median ICU stay (days) 6 7 .29 Median hospital stay (days) 13 14 .91

CI, cardiac index; ICU, intensive care unit; PAP, pulmonary arterial pressure; POD, postoperative day; SD, standard deviation; PY, pack years.

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Figure 3, Correlations between cross-sectional area (CSA) of vessels <5 mm 2 expressed as a percentage total lung CSA (CSA 5 mm 2 %) and postoperative hemodynamic parameters for patients receiving noncontrast ( top two figures) and contrast ( bottom two figures) preoperative computed tomographic scans.

Table 2

Comparison of the Percentage of Perfusion in the Nonoperative Lung as Assessed by a Nuclear Perfusion Scan and Hemodynamic Parameters, Compared to the Correlation with CSA 5% and CSA 10%

Measurement Without Contrast With Contrast Correlation with Nonoperative Perfusion Fraction Correlation with CSA 5% Correlation with CSA 10% Correlation with Nonoperative Perfusion Fraction Correlation with CSA 5% Correlation with CSA 10% Maximum PAP POD 0R = 0.06, P > .5R = 0.37, P = .03R = 0.37, P = .03R = 0.07, P > .5R = 0.06, P > .5R = 0.13, P > .5 Minimum Cardiac Index POD 0R = 0.05, P > .5R = 0.01, P > .5R = 0.12, P = .94R = 0.09, P > .5R = 0.43, P = .03R = 0.45, P = .03 Nonoperative Perfusion Fraction_R_ = 0.27, P = .11R = 0.34, P = .04R = 0.33, P = .12R = 0.32, P = .12

CSA, cross-sectional area; POD, postoperative day; PAP, Pulmonary Arterial Pressure.

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Table 3

Correlation Between Regional Measures of CSA 5% and Postoperative Hemodynamics

Correlation Measured Apical Slice Carina Slice Caudal Slice Without contrast ( n = 35) POD 0 max PAP versus CSA 5%R = 0.30, P = .08R = 0.34, P = .05R = 0.38, P = .03 With contrast ( n = 26) POD 0 min CI versus CSA 5%R = 0.40, P = .05R = 0.31, P = .13R = 0.46, P = .02

CI, cardiac index; CSA, cross-sectional area; PAP, pulmonary arterial pressure; POD, postoperative day.

Table 4

Cross-sectional Area (CSA) of Circular Objects Representing Vasculature Running Perpendicular to the Plane of the Computed Tomographic Slices with Area of 5 mm 2 Divided by Area of Lung in the Slice (CSA 5%). CSA 10% Represents Detected Vessels with Area <10 mm 2 . Overall There is a Statistically Significant Difference in CSA 5% Between the Subjects with Contrast and Those without ( P = .001)

Measurement CSA 5% CSA 10% Without contrast ( n = 35) 0.87 ± 0.33 1.22 ± 0.37 Right lung removed ( n = 21) 0.76 ± 0.19 1.1 ± 0.23 Left lung removed ( n = 14) 1.03 ± 0.41 1.39 ± 0.47 Top slice ( n = 35) 1.04 ± 0.33 1.68 ± 0.40 Carina slice ( n = 35) 0.84 ± 0.37 1.12 ± 0.43 Caudal slice ( n = 35) 0.79 ± 0.34 1.05 ± 0.42 With contrast ( n = 26) 1.27 ± 0.48 1.68 ± 0.57 Right lung removed ( n = 9) 1.22 ± 0.50 1.61 ± 0.56 Left lung removed ( n = 17) 1.30 ± 0.48 1.72 ± 0.59 Top slice ( n = 26) 1.35 ± 0.48 1.96 ± 0.64 Carina slice ( n = 26) 1.39 ± 0.49 1.69 ± 0.59 Caudal slice ( n = 26) 1.20 ± 0.58 1.54 ± 0.70

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Discussion

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Conclusions

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Appendix 1

Method of computing CSA 5%

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