Nuclear Medicine Review 2/2015-Perfusion lung scintigraphy for the prediction of postoperative residual pulmonary function in patients with lung cancer

Perfusion lung scintigraphy for the prediction of postoperative residual pulmonary function in patients with lung cancer

Katarzyna Kovačević-Kuśmierek1, Józef Kozak2, Łukasz Pryt2, Małgorzata Bieńkiewicz1, Paweł Cichocki3, Jacek Kuśmierek3, Anna Płachcińska1

1Department of Quality Control and Radiological Protection, Medical University of Łódź, Poland

2Word of Thoracic Surgery and Respiratory Rehabilitation, N. Copernicus District Hospital in Łódź, Poland

3Department of Nuclear Medicine, Medical University of Łódź, Poland

Supporters: Medical University of Łódź, Poland

[Received 19 II 2015; Accepted 3 VII 2015]

Abstract

BACKGROUND: Accurate prediction of postoperative pulmonary function in patients with non-small cell lung cancer is crucial for proper qualification for surgery, the only effective therapeutic method. The aim of the study was to select the most accurate method for acquisition and processing of lung perfusion scintigraphy (LPS) combined with spirometry for prediction of postoperative pulmonary function in patients qualified for surgery.

MATERIAL AND METHODS: LPS was performed in 70 patients (40 males, 30 females), with preoperative spirometry (mean FEV1 preop = 2.26 ± 0.72 L), after administration of 185 MBq of 99mTc-microalbumin/macroaggregate, using planar (appa) and SPECT/CT methods. Predicted postoperative lung function (FEV1pred) was calculated as a part of active lung parenchyma to remain after surgery. A non-imaging segment counting method was also applied. FEV1pred(appa SPECT SPECT/CT, segm.) were further compared with actual FEV1postop values obtained from postoperative spirometry.

RESULTS: In the whole studied group (47 lobectomies, 23 pneumonectomies) mean value of FEV1postop was equal to 1.76 (± 0.56) L. FEV1 pred(appa SPECT SPECT/CT, segm.) were equal to 1.75 (± 0.58) L, 1.71 (± 0.57) L, 1.72 (± 0.57) L and 1.57 (± 0.58) L, respectively. A segment counting method systematically lowered predicted FEV1 values (p < 10-5). Moreover, in 31 patients with FEV1preop < 2 L error of predicted values was assessed with Bland-Altman method. Mean absolute differences FEV1postop - FEV1pred amounted to: appa – (0.04 ± 0.13) L, SPECT – (0.07 ± 0.14) L, SPECT/CT – (0.06 ± 0.14) Land segm. – (0.21 ± 0.19) L, respectively. Lower limit of 95% confidence interval calculated for planar – optimal method, was equal to -220 mL (also determined separately in subgroups after lobectomy and pneumonectomy).

CONCLUSIONS: This study shows that planar LPS may be applied for prediction of postoperative pulmonary function in patients qualified for pneumonectomy and lobectomy. If actual FEV1postop value is to be ≥ 800 mL, predicted value should exceed 1000 mL.

KEY words: carcinoma, lung, perfusion imaging, pneumonectomy, scintigraphy, SPECT

Nuclear Med Rev 2015; 18, 2: 70-77

Background

Non-small cell lung cancer (NSCLC) provides one of the most frequent indications for lung parenchyma resection. Patients qualified for surgical intervention should undergo examinations of their respiratory sufficiency. Diagnostic methods should take into account patient condition and risk factors resulting from coexisting diseases, especially of lungs and a circulatory system. A thorough examination of these patients aiming at a maximal reduction of postoperative complications and mortality is particularly important [1, 2].

Spirometry, gasometry, diffusing capacity for carbon monoxide (DLOO) and stress tests with assessment of maximal oxygen consumption (VO2max) are most important studies examining patient respiratory sufficiency. Spirometric study is considered the most essential and also easily available one. It provides an index referred to as a forced expiratory volume in one second (FEV1), a widely accepted in clinical practice index of respiratory sufficiency. It is assumed that absolute values of FEV1 in patients qualified for lobectomy and pneumonectomy should not be lower than 1500 mL and 2000 mL, respectively, or these values should exceed 80% of values predicted for patient age, height, gender and body mass. [3, 4]. When FEV1 value is close to its lower limit, pointing to a high risk of postoperative complications, preoperative patient diagnosis should be supplemented with methods predicting post-operative FEV1 value. It is assumed that a risk following lung parenchyma resection is acceptable when predicted FEV1 value lies in the range between 800-1000 mL. Its lower values decide against the surgery [5-7].

Among methods used for prediction of post-operative FEV1 values a very simple method based of segment counting should be mentioned [8], but also imaging methods, like lung perfusion and ventilation scintigraphy, also a quantitative computed tomography and a dynamic magnetic resonance imaging are used. Scintigraphic studies play a particularly important role among those methods [9, 10].

The aim of this work was to determine which of methods used for acquisition and processing of lung perfusion scintigraphy applied together with pre-operative spirometry gives the most accurate results of predicted post-operative FEV1 values in NSCLC patients qualified for lung parenchyma resection.

Material and methods

Studies were performed in 70 patients with NCSLC (40 males and 30 females) at the age between 37 and 80 years (mean value 61.1 ± 8.7 years), prepared for anatomical (removal of the lobe or a whole lung) resection of pulmonary parenchyma. All patients had a pre- and a post-operative spirometry, which was performed 3 to 6 months after surgery [11, 12]. Lung perfusion scintigraphy have been conducted using a dual head gamma camera Infinia Hawkeye (by General Electric) after intravenous injection of 185 MBq of 99mTc-microalbumin/99mTc-macroaggregaate, applying a planar method in anterior and posterior projections (AP and PA) and SPECT/CT acquisition. In order to assure a proper radiopharmaceutical distribution in lungs, a half of its quantity was administered to a patient in a prone and another half in a supine position, in agreement with literature recommendations [13]. Planar study (appa) acquisition, lasting 300 sec., was performed in a 256 × 256 matrix. Study was processed using an automatic software Quantitative Perfusion Analysis being at disposal on Xeleris image processing station. This software divides both lungs into 3 regions of interest, in AP and PA projections, in a fully automatic way (Fig. 1). Then it calculates geometric mean values from both projections in all six ROIs. Authors of this study modified those calculations in such a way that, before calculation of geometric mean values, counts collected from a middle region of a left lung in PA projection were added to lower lobe and in AP projection – to upper lobe. This modification was intended to adjust calculated values to lung anatomy (left lung has only two lobes). Afterwards percentages of all pulmonary lobes in a total lung function and a percentage of a part planned to remain after surgery were calculated.

Figure 1. A planar study. An example of an automatic lung division into regions of interest in posterior and anterior projections and calculation of percentages of respective lobes in an overall lung function. Applied modifications of this algorithm are described in text

SPECT study, applied as another method for prediction of a post-operative lung function, was acquired in a 360° angle of rotation. Raw study consisted of 120 images acquired in a 128 × 128 matrix. SPECT method was supplemented with a low dose CT (voltage 140 kV, current 2.5 mA) study acquired with the same hybrid gamma camera. SPECT images were reconstructed with an iterative OSEM method (2 iterations, 10 subsets) and with Hann filter (cutoff frequency 0.9 cycle/cm). Regions of interest encompassing lobes of the right and left lung (Fig. 2A and B) were drawn manually, on 12 sagittal slices, making use of anatomical schemes presenting division of lungs into lobes. Counts collected inside specific ROIs were used for calculation of percentages of pulmonary lobes in a total lung function.

Figure 2A, B. A SPECT study: A. Division of the right lung into lobes – 12 sagittal slices with regions encompassing superior (S), middle (M) and inferior (I) lobes; B. Division of the left lung into lobes – 12 sagittal slices with regions encompassing superior (S) and inferior (I) lobes

A third method applied for prediction of post-operative lung function was a SPECT/CT study, in which reconstructed CT images were used as a support for lung contouring (Fig. 3A-C) and helped in a proper delineation of courses of interlobar fissures (Fig. 3). As a low dose CT does not visualize those fissures, CT images helped in determination of their courses in an indirect way, by showing specific anatomical points. An operator delineated lung lobes on SPECT sagittal slices looking at the same time at reconstructed CT slices. An oblique fissure was drawn in such a way that it crossed a specific point visible on a sagittal CT image, located 6 cm below a pulmonary apex, on the upperposterior surface of the lung hilus (Fig. 4D). Drawing a horizontal fissure, an operator also watched CT sagittal and coronal slices in order to pass this fissure through a fourth rib and tracheal bifurcation level (Fig. 4E, F). [14].

Figure 3A-F. A SPECT/CT study: usefulness of CT study in contouring lungs and finding anatomical landmarks specific for interlobar fissures: A. Radiopharmaceutical cumulated in a left lung visible in a sagittal slice of a SPECT study; B. A contour of this lung visible in sagittal slice of CT study; C. Delineation of a contour of this lung in SPECT study based on CT image; D-F. An anatomical point located 6 cm below a lung apex, on the upper-posterior surface of the lung hilus (D), which should be crossed by an oblique fissure, tracheal bifurcation (E) and a fourth rib (F) – anatomical points helping in a proper delineation of a horizontal fissure

Figure 4A-D. Bland-Altman plots comparing FEV1postop and FEV1pred obtained in 31 patients with preoperative values below < 2 liters calculated using: A. Planar-appa; B. SPECT; C. SPECT/CT; D. Segment counting methods

Predicted post-operative FEV1pred values were calculated according to the following formula:

FEV1pred (appa, SPECT and SPECT/CT) FEV1 preop × percentage of lung parenchyma to remain.

The above presented methods using lung perfusion scintigraphy were additionally compared with a conventional method of segment counting (segm.) assuming that every segment has the same contribution to a total lung function. This method, introduced in 1975 by Juhl and Frost [8], is based on calculation of a percentage of segments planned to remain after a surgery, according to the formula:

FEV1segm = FEV1preop × (1 - s/19),

where „s” denotes number of segments planned to be removed and 19 – a total number of segments (3 in upper, 2 in middle and 5 in lower lobe of the right lung and 5 in upper and 4 in lower lobe of the left lung).

Values of postoperative FEV1 predicted with all four methods (appa, SPECT, SPECT/CT and segm.) were compared with actual post-operative values obtained from spirometry in the whole group as well as subgroups of patients, taking into account a type of surgery (lobectomy or pneumonectomy), operated lung (right or left) and location of removed lobes (upper or lower).

Moreover, in 31 patients with preoperative FEV1 values lower than 2 liters (close to limit values for anatomical resection of lung parenchyma) errors of predicted values were estimated.

Statistical analysis

Test hypothesis for distributions of FEV1 values was verified with use of nonparametrlc methods, the Mann-Whltney U test (for independent data) or the Wilcoxon test (for matched observations). Differences between predicted and actual values of FEV1 were assessed with parametric Student’s t-test.

A graphical method of the Bland-Altman plot was used to compare FEV1 values obtained from predictions and post-operative measurements (with certain systematic and random errors). Intervals of agreement were drawn as the mean difference between predicted and measured values plus and minus 1.96 times the standard deviation of the differences.

Strength of linear relationship between predicted and measured FEV1 values was quantified by the Pearson correlation coefficients with significance based on t-statistics.

In all analyses, statistical significance was achieved for a p value ≤ 0.05. Calculations were performed by means of Statistica 10.0 software.

Results

In 43 patients a lobectomy was performed (of upper left lobe – 5, lower left – 8, upper right – 21 and lower right – 9), in 4 patients bilobectomy (lower – 3 and upper – 1) and in 23 patients – pneumonectomy (left – 16 and right – 7 patients).

Correlation coefficients between results of radionuclide methods (FEV1 appa, FEV1SPECT and FEV1SPECT/CT) and actual postoperative values (FEV1postop) were high and equal to: 0.909, 0.914 and 0.913, respectively. Correlation coefficient for a segment counting method was also high – 0.905.

Mean values of predicted FEV1 were very similar to actual values for appa method – 1.75 vs 1.76 (p = 0.55), and for SPECT and SPECT/CT methods predicted values were slightly lowered – 1.71 vs 1.76 (p = 0.02) and 1.72 vs 1.76 (p =0.07), respectively. However, postoperative FEV1 values predicted by a segment counting method were considerably lowered – 1.57 vs 1.76 ( p< 0.00001) (Table 1).

Table 1. Descriptive statistics for FEV1 values measured postoperatively and predicted with four applied methods – in the whole study group and after subdivision according to a surgery extent (lobectomy/pneumonectomy)

n Mean SD P (vs FEV1postop)
FEV1postop All 70 1.76 0.56 -
Lobectomy 47 1.88 0.60 -
Pneumonectomy 23 1.52 0.38 -
FEV1appa All 70 1.75 0.58 0.55
Lobectomy 47 1.90 0.61 0.38
Pneumonectomy 23 1.44 0.37 0.03
FEV1SPECT All 70 1.71 0.57 0.02
Lobectomy 47 1.85 0.60 0.20
Pneumonectomy 23 1.43 0.37 0.02
FEV1SPECT/CT All 70 1.72 0.57 0.07
Lobectomy 47 1.86 0.59 0.58
Pneumonectomy 23 1.43 0.38 0.03
FEV1(SEGM) All 70 1.57 0.58 < 0.00001
Lobectomy 47 1.76 0.57 0.00
Pneumonectomy 23 1.18 0.40 0.00

SD – standard deviation

Accuracies of FEV1 prediction calculated separately in subgroups of patients qualified for lobectomy and pneumonectomy are presented in Table 1. For lobectomy values predicted by all three scintigraphic methods did not differ significantly from actual ones, and for pneumonectomy predictions of all these methods were slightly, although statistically significantly lowered. However, a segment counting method predicted FEV1 values considerably and statistically significantly lower than actual ones, both in case of lobectomy and pneumonectomy– 1.76 vs 1.88 (p = 0.0001) and 1.18 vs 1.52 (p = 0.00003), respectively.

Tables 2 and 3 present comparisons between predicted and actual post-operative FEV1 values separately in patients who underwent left and right lung surgery. In subgroup of patients after a right lung pneumonectomy values of FEV1 predicted with all three methods of lung perfusion scintigraphy were statistically significantly lowered although a significance level was only slightly below the accepted limit value. In the subgroup of patients after lobectomy no significant differences between predicted and measured FEV1 values were found for scintigraphic methods.

Table 2. Descriptive statistics for FEV1 values measured postoperatively and predicted with four applied methods in patients after pneumonectomy – separately for left and right lung

Side n Mean SD p
FEV1postop Left 16 1.50 0.41 -
Right 7 1.56 0.32 -
FEV1appa Left 16 1.45 0.39 0.22
Right 7 1.41 0.34 0.02
FEV1SPECT Left 16 1.43 0.40 0.12
Right 7 1.44 0.31 0.02
FEV1SPECT/CT Left 16 1.43 0.41 0.16
Right 7 1.43 0.32 0.03
FEV1segm Left 16 1.17 0.43 0.00
Right 7 1.21 0.34 0.02

SD – standard deviation

Table 3. Descriptive statistics for FEV1 values measured postoperatively and predicted with four applied methods in patients after lobectomy – separately for left and right lung

Side n Mean SD p
FEV1postop Left 13 1.67 0.48 -
Right 34 1.96 0.63 -
FEV1appa Left 13 1.62 0.52 0.53
Right 34 2.00 0.62 0.16
FEV1SPECT Left 13 1.68 0.53 0.83
Right 34 1.92 0.62 0.07
FEV1SPECT/CT Left 13 1.66 0.49 0.83
Right 34 1.94 0.62 0.42
FEV1segm Left 13 1.58 0.46 0.09
Right 34 1.83 0.60 0.00

SD – standard deviation

In a subgroup of patients with lobectomies no differences between accuracies of prediction of FEV1 values by scintigraphic methods between upper and lower lobectomies were found (Table 4).

Table 4. Descriptive statistics for FEV1 values measured postoperatively and predicted with four applied methods in patients after lobectomy – separately for upper and lower lobes

Lobectomy Lobe n Mean SD p (vs FEV1postop)
FEV1postop Upper 27 2.05 0.65 -
Lower 20 1.66 0.45 -
FEV1appa Upper 27 2.10 0.64 0.21
Lower 20 1.63 0.46 0.99
FEV1SPECT Upper 27 2.02 0.66 0.22
Lower 20 1.63 0.41 0.61
FEV1SPECT/CT Upper 27 2.03 0.66 0.56
Lower 20 1.63 0.39 0.87
FEV1segm Upper 27 1.97 0.60 0.05
Lower 20 1.48 0.37 0.00

SD – standard deviation

Systematic and random errors of FEV1 values predicted in 31 patients with preoperative values lower than 2 liters were close to each other for three scintigraphic methods. Mean, absolute differences FEV1postop, – FEV1pred. and standard deviations were equal to: for appa – 0,04, ± 0,13 L (in a subgroup of patients with lobectomy and pneumonectomy 0.02 ± 0.12 L and 0.07±0.15 L, respectively); for SPECT – 0.07 ± 0.14; for SPECT/CT – 0.06 ± 0.14. However, for a segment counting method a mean difference as well as a standard deviation were larger: 0.21 ± 0.19. Lower limits of 95% confidence intervals calculated for differences between measured postoperative and predicted FEV1 values assessed with a Bland-Altman method amounted to: for appa -0,220 L (the same values were obtained in subgroups of patients with lobectomies and pneumonectomies); for SPECT: -0,200 L; for SPECT/CT: -0,220 L; for segment counting: -0,150 L (Table 4). These values were accepted as maximal errors of predicted FEV1 values. Moreover, to be able to compare results of the present work with outcomes of studies presented in the literature, in this subgroup of 31 patients a relative per cent error for differences FEV1postop – FEV1pred obtained with a planar method has been calculated. It amounted to 2.8 ± 10.3 (%), and in subgroups of patients with lobectomies and pneumonectomies – 0.91 ± 8.4 (%) and 5.5 ± 1 2.9 (%), respectively.

Discussion

Guidelines of the American Thoracic Society as well as common guidelines issued by the European Respiratory Society and the European Society of Thoracic Surgeons recommend a segment counting method to be used for prediction of post-operative lung function in patients qualified for lobectomy. Only in case of planned pneumonectomy a planar lung perfusion scintigraphy can be applied according to authors of these guidelines [1, 2]. This is due to presumed larger error of the scintigraphic method in assessment of contribution of lobes to a total lung function. However, a recent publication by Win et al. [15], presenting results of studies performed in 61 patients with preoperative FEV1 values below 1.5 liter qualified for lobectomy did not reveal a statistically significant difference between accuracies of segment counting and planar lung perfusion scintigraphy methods. Another publication, by Bolliger et al. [16], showed that planar perfusion scintigraphy was more accurate than segment counting in prediction of postoperative lung function in patients qualified for lobectomy as well as pneumonectomy. Authors of this work present an opinion that a segment counting method can be applied only in case of planning a resection of only one lobe, with a mandatory consideration of dysfunctional segments. Our work revealed a significant reduction of FEV1 values predicted by segment counting method as compared with post-operative measurements: 1.18 vs 1.52 (p = 0.00003) in case of pneumonectomies and 1.76 vs 1.88 (p = 0.0001) in case of lobectomies and for this reason application of this method in our opinion should be limited.

Giordano et al. [17] compared accuracies of prediction of post-operative lung function in 20 patients qualified for pneumonectomy and 23 – for lobectomy. Results obtained in a subgroup after lobectomy were not worse than those after pneumonectomy [17]. The same authors in another publication [6] using the same method predicted postoperative FEV1 values in 41 patients qualified for a lobectomy. They obtained less accurate results in left than in right and upper than lower lobectomies. As a result authors of this publication recommended „safe” limits for predicted postoperative FEV1 values as 1.2 liter for upper and 1 liter for lower lobectomies. It should be emphasized, however, that a study group used in this workwas small and therefore a credibility of these results is rather limited. Predicted FEV1 values obtained in the present work were closer to real values in case of lobectomies than pneumonectomies. Moreover, in case of right pneumonectomies postoperative FEV1 values predicted by all scintigraphic methods were slightly, although statistically significantly underestimated. On the other hand, a comparison between predicted FEV1 values in case of left and right as well as upper and lower lobectomies failed to reveal any statistically significant differences between their accuracies.

In a literature presenting results of assessment of accuracy of FEV1 predicted values by means of a planar lung perfusion study, quite differentiated findings can be met. Bolllger et al. [16] studied 44 patients and obtained a variability of results calculated according to a Bland Altman method included in an interval between -0.5 and 0.43 liter, a range wider than obtained in the present study: (-0,22; 0,31) liter. Wu et al. [18] assessed accuracy of predicted FEV1 values by means of relative errors (mean value and a standard deviation), which amounted to 5.4 ± 14.1 (%) for pneumonectomy and 0.82 ± 15.5% for lobectomy. These values were close to ours in case on pneumonectomy and larger for lobectomy.

Lung perfusion scintigraphy can be at present performed with three methods: planar – in (among others) anterior and posterior projections, tomographic – with single photon emission computed tomography (SPECT) and also with a hybrid SPECT/CT imaging, integrating functional and morphological information in one study. A SPECT method enables 3-dlmenslonal imaging of lungs with better visualization of hypoperfused, even sub-segmental regions. Additional use of an anatomical image – X-ray computed tomography should facilitate lung division into lobes with subsequent assessment of their regional function. The expectation that a SPECT method, especially with help of CT images, should allow delineating lung lobes more precisely than a planar one, resulting in a more accurate prediction of a postoperative respiratory parameters seems intuitively justified. However, divergent opinions on this issue can be met in the literature. Caglar et al. [19] have shown that a thorough delineation of lung lobes in planar lung perfusion scintigrams does not improve accuracy of predicted postoperative FEV1 values as compared with a schematic division of lungs into lobes. Next, several authors applying both planar and SPECT methods did not observe any advantage of the latter in prediction of postoperative residual lung function [11, 12, 20]. However, Hlroseet al. as well as Ohno et al. [21, 22] recognized SPECT as a more accurate method in prediction of postoperative FEV1 values. Another authors considered SPECT/CT to be the most accurate among scintigraphic methods in prediction of postoperative FEV1 values. It should be noted, however, that a CT method applied in these works was fully diagnostic, a feature that might have affected the accuracy of lung lobes delineation [13, 23, 24]. Analysis of results of our study did not reveal any advantage of SPECT or SPECT/CT methods over a planar one. It should be stressed again, that our study made use of a low dose CT that did not allow visualization of inter-lobar fissures.

Ohno et al. [21] inform about a high accuracy of SPECT perfusion study in prognosis of postoperative FEV1, confirmed by relative error (mean ± standard deviation) equal to 5.1 ± 7 (%) – lower than obtained in the present study. Also Mineo et al. [20] compared accuracy of planar and SPECT methods in a group of 39 patients and obtained absolute measures (mean ± standard deviation) equal to 0.13 ± 0.19 L and 0.05 ± 0.18 L, respectively values higher than in the present work. Moreover, Pial et al [12] and Mineo et al. [20] made use of Pearson linear correlation coefficients in assessment of accuracy of planar and SPECT methods in prediction of postoperative FEV1 values in patients prepared for pneumonectomy and lobectomy. In both studies correlation coefficients were high and close to each other for planar and SPECT methods, but they were lower, although statistically non-slgnlflcantly, in subgroups of patients prepared for pneumonectomy than for lobectomy. Although in our work another statistical methods were used, we also obtained better prediction of postoperative FEV1 values in patients prepared for lobectomies than pneumonectomies.

A literature reveals that in some diagnostic centers prediction of postoperative FEV1 values is based on both, lung perfusion and ventilation studies [7, 15, 23, 25-27]. It should be mentioned here, however, that lung ventilation study is more difficult to perform due to its complicated methodology and it is also more expensive. Results of listed above studies reveal a slight, non-significant advantage of a ventilation over perfusion study. However, analysis of results of these studies show also that accuracy of postoperative FEV1 prediction depends on a radiopharmaceutical used for imaging of a regional lung ventilation imaging. Application of noble gases, like xenon-133 and krypton-81m, allows to obtain values closer to actual ones due to a better penetration of noble gases into pulmonary alveoli as compared with technetium-99m-labaled radiopharmaceuticals, like „Technegas” (Cyclomedica) – ultra fine dispersion of technetium-99m labeled carbon or 99mTc-DTPA (diethylenetriaminepantaacetic acid). All in all, most communications prove that a perfusion study (without ventilation) provides sufficient data for a correct prediction of postoperative residual pulmonary function. However, ventilation scintigraphy should be reserved for specific situations of tumor located in pulmonary hilus and also of advanced stage (III) of lung cancer. It was observed that in those situations perfusion and ventilation mismatches can be seen. In such cases perfusion defects are not only evoked by hypoxic pulmonary vasoconstriction, but also can be caused by tumor constricting pulmonary arteries [7, 15, 25]. For this reason predicted postoperative FEV1 values based on lung perfusion study can be overestimated and give rise to a wrong decision of performing a surgery.

A contemporary medical imaging, excepting scintigraphy, makes also use of radiological methods, like quantitative computed tomography and a dynamic magnetic resonance in a quantitative diagnosis of a regional lung function. Although a computed tomography has been applied for many years in pulmonary diagnostics, its application for a quantitative assessment of a regional lung function has been introduced recently. The same holds true for a dynamic magnetic resonance applied in assessment of regional lung perfusion. A literature reveals accuracy of both radiological methods being close to scintigraphic ones [13, 16, 18, 21, 23]. Although a computed tomography is applied in a diagnosis of lung diseases routinely, its use for a quantitative prediction of a residual postoperative lung function is limited. Application of a magnetic resonance imaging for prediction of postoperative FEV1 values is also limited due to its high cost and elaborate methods demanding advanced processing that cannot be performed with routinely available software [21, 28, 29].

Results of our study show that accuracies of all applied scintigraphic methods in prediction of postoperative residual lung function are high and close to each other. Moreover, it turned out that the simplest, least laborious and time consuming and also most available planar method does not surrender to tomographic methods, SPECT and SPECT/CT, presenting lung parenchyma in three dimensions. This is why, in our opinion, a planar lung perfusion scintigraphy, together with a preoperative spirometry, should be applied in patients qualified for lung parenchyma resection, both pneumonectomy and lobectomy, especially those with high risk of perioperative complications.

Conclusions

A segment counting method systematically underestimate predicted FEV1 values and therefore its use should be limited. A planar lung perfusion method is considered optimal due to its high availability, low labor input and a short time necessary to acquire and process this study. Application of SPECT or SPECT/CT methods does not improve accuracy of prediction of residual lung function. Planar perfusion scintigraphy can be used for prediction of postoperative lung function in patients qualified for pneumonectomy and lobectomy. Results of our study indicate that assuming a postoperative actual FEV1 value not lower than 800 mL, a predicted postoperative residual FEV1 value calculation based on preoperative spirometry and planar lung perfusion study should not fall below 1000 mL.

Acknowledgements

The study was partly financed by the Young Investigators Fund No 502-03/1-136-03/502-14-064 of Medical University of Łódź.

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Correspondence to:
Katarzyna Kovačević-Kuśmierek MD
Department of Quality Control and Radiological Protection
Medical University of Łódź
Pomorska 251 St., 92-213 Łódź, Poland
Tel: + 48 42 675 72 85/42 675 73 07
E-mail: katarinakovacevic@wp.pl

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