Myocardial infarct size quantification in mice by SPECT using a novel algorithm independent of a normal perfusion database
- Véronique Roelants†1, 5Email author,
- Marie Delgaudine†2,
- Stephan Walrand3,
- Renaud Lhommel3,
- Yves Beguin2,
- François Jamar3 and
- Jean-Louis Vanoverschelde4
© Roelants et al.; licensee Springer. 2012
Received: 24 August 2012
Accepted: 16 December 2012
Published: 28 December 2012
There is a growing interest in developing non-invasive imaging techniques permitting infarct size (IS) measurements in mice. The aim of this study was to validate the high-resolution rodent Linoview single photon emission computed tomography (SPECT) system for non-invasive measurements of IS in mice by using a novel algorithm independent of a normal database, in comparison with histology.
Eleven mice underwent a left coronary artery ligature. Seven days later, animals were imaged on the SPECT 2h30 after injection of 173 ± 27 MBq of Tc-99m-sestamibi. Mice were subsequently killed, and their hearts were excised for IS determination with triphenyltetrazolium chloride (TTC) staining. SPECT images were reconstructed using the expectation maximization maximum likelihood algorithm, and the IS was calculated using a novel algorithm applied on the 20-segment polar map provided by the commercially available QPS software (Cedars-Sinai Medical Center, CA, USA). This original method is attractive by the fact that it does not require the implementation of a normal perfusion database.
Reconstructed images allowed a clear delineation of the left ventricles borders in all mice. No significant difference was found between mean IS determined by SPECT and by TTC staining [37.9 ± 17.5% vs 35.6 ± 17.2%, respectively (P = 0.10)]. Linear regression analysis showed an excellent correlation between IS measured on the SPECT images and IS obtained with TTC staining (y = 0.95x + 0.03 (r = 0.97; P < 0.0001)), without bias, as demonstrated by the Bland-Altman plot.
Our results demonstrate the accuracy of the method for the measurement of myocardial IS in mice with the Linoview SPECT system.
KeywordsInfarct size Quantification Mouse SPECT
Animal models of myocardial infarction are commonly used to investigate pathophysiological mechanisms and to evaluate strategies aimed at reducing infarct size . Genetically modified mice are increasingly used for this purpose . Until recently, quantification of myocardial infarct size in mice was only possible by use of post-mortem histological analysis. Although histological assessment of infarct size is well validated and considered to be the golden standard for infarct size quantification, it requires euthanizing the animal and thus precludes intra-animal infarct size follow-up. It also makes it difficult to conduct longitudinal studies, as these require euthanizing numerous animals at multiple time points to obtain the desired temporal information . A non-invasive, non-destructive method for estimating infarct size would thus be most desirable.
In patients with coronary artery disease, accurate quantification of infarct size can be obtained using single photon computed emission tomography (SPECT) and Tc-99m-labelled perfusion tracers . This method has been validated in large animal models of myocardial infarction and can be used to serially measure infarct size in the same individuals. Although theoretically feasible, application of this methodology to mice imaging is challenging, owing to the very small size of the mouse heart. The main challenge when imaging the mouse hearts is to achieve spatial resolution and noise levels that permit resolving the millimetre-thick murine myocardial wall. Earlier investigators have nonetheless succeeded in imaging rodent heart with small animals SPECT or positron-emission tomography (PET) cameras [5–11] and reported reasonably good correlations between infarct size measured by these modalities and that obtained with histology [7–11].
The Linoview SPECT system is a novel whole-body high-resolution SPECT camera that was recently developed to image rodents . Compared with other dedicated small-animal SPECT imaging systems, the system uses focusing collimators moved along linear orbits providing linogram acquisitions. In this setup, the tomographic field of view is determined by the orbit length independently of the collimator acceptance angle. As a consequence, the collimator aperture can be set closer to the animal, without any truncation issues, which results in increased efficiency and spatial resolution (0.6 mm). In this study, we used this system to investigate the feasibility of assessing myocardial perfusion distribution and infarct size in mice with prior myocardial infarction. Total perfusion deficit (TPD) index developed by Slomka et al.  that combines defect severity and extent in one parameter was compared with triphenyltetrazolium chloride (TTC) histological data. TPD is based on the comparison of the polar map voxels to normal limits derived from a normal perfusion database. In addition, a novel algorithm that does not require use of a normal perfusion database was developed in order to provide an absolute infarcted fraction (AIF).
Mouse model of myocardial infarction
Animal experiments were performed in accordance with institutional guidelines and approved by the Animal Care Ethical Committee of the University of Liège. Myocardial infarction was induced in 2-month old female C57Bl/6 mice (18.5 ± 0.9 g). Anaesthesia was induced and maintained using ketamine (100 mg/kg) and xylazine (5 mg/kg). Mice were orally intubated with a 22-gauge vinyl catheter, and positive pressure ventilation (0.3 ml/min, 160 breaths/min) was maintained with a rodent ventilator (Harvard Apparatus, Les Ulis Cedex, France). The heart was exposed through a 1-cm left lateral thoracotomy. The left coronary artery (LCA) was ligatured by passing an 8-0 polypropylene silk suture around the artery. The chest wall, muscle layers and skin were then closed with interrupted 6-0 polypropylene silk sutures. Intubation was discontinued once spontaneous breathing resumed, and the mouse was allowed to recover on a heated platform.
A total of 11 infarcted animals and seven healthy controls were scanned. SPECT acquisitions were performed using the Linoview SPECT system (Linoview System, Amsterdam, The Netherlands) . The slit width was set to 0.6 mm. Acquisitions were performed 7 days after the LCA ligature. Animals received an intravenous injection of 173 ± 27 MBq of 99mTc-sestamibi through the tail vein. Two hours later, 0.1 μg/kg of cholecystokinin was injected intraperitoneally to induce emptying of the gallbladder. The animals were scanned 30 min later, under anaesthesia (50 mg/kg of ketamine and 2.5mg/kg of xylazine) for 30 min.
SPECT data reconstruction
Data were reconstructed using the expectation maximization maximum likelihood algorithm without attenuation or resolution correction. The images were reoriented into conventional short-axis, vertical long-axis and horizontal long-axis views.
Polar map derivation
As previously reported by Constantinesco et al. , an appropriate scaling factor was applied on the reconstructed images in order to approach the human reference heart volume, and a 20-segment polar map was automatically derived with the QPS software (Cedar-Sinai Medical Center, Los Angeles, USA) with constraining limits being manually adjusted [13–15]. Relative segment level was defined as the ratio of the segment value given by the QPS software with that of the segment having the highest tracer uptake.
Absolute infracted fraction assessment
The novel proposed method for AIF determination includes two steps: the determination of the myocardial wall volume corresponding to each segment of the polar map and the determination of the contribution to each segment to the total infracted volume.
The numerator of Equation 1 is the volume of the ring made by the N s segments at the same radials distance in the polar map. Equation 2 gives the circumference C s of the ring assuming that the ring is circular with a mean diameter D s measured between the centres of the two sections of the ring. σs is the area of the ring section estimated as the product of the length L s and thickness T s. These two distances were measured starting at the middle section sides in order to take into account the non-parallelism of the sides. The number of segment N s of the polar map at each level are illustrated in Figure 1 (basal, n = 6; middle, n = 6; apical, n = 6; apex, n = 2).
Step 2. A numerical model of the mice’s left ventricle was developed in order to determine the infarcted fraction in a segment as a function of its relative level. The ventricle was modelled by a 1-cm-length cylinder of 5.4-mm-diameter (mean diameter observed in SPECT, 5.4 ± 0.7 mm) and with a uniform active wall thickness of 1 mm. A 100% activity defect was modelled on the whole wall length and with a polar extension ranging from 0° to 240° that, in this model, corresponded to a total infarcted fraction ranging from 0% to 66%. The beating was modelled by a 0.35-mm radial oscillation of the wall associated with a longitudinal twisting of 3° . The breathing was modelled by a 2-mm transverse oscillation of the whole ventricle . The breathing oscillation direction was modelled perpendicularly and tangentially to the defect as well. A surrounding background with specific activity 10%, 20% and 30% of that of the non-infarcted region was modelled (19.3% ± 4.9% observed in the mice SPECT). In real SPECT, this background activity resulted from the residual vascular and extravascular pool activity and from the cross contamination of high uptaking of Tc-99m in tissues such as liver and gallbladder as well.
When a segment circumferentially moved through an ideal defect-to-normal region edge, the variation of its infarcted fraction is linear versus its relative level (A to D in Figure 2). When this step transition was smoothed by the altering resolution effects (beating, breathing and system resolution), the relative segment level already increased although the segment was still fully located in the defect area (E to F in Figure 2). The same behaviour occurred when the segment was completely inside the normal region and came close to the defect area. As a result, the curve of the infarcted fraction in segment as a function of the segment relative level underwent a pivoting (I in Figure 2).
The denominator of Equation 5 is the total myocardial wall volume. U c and n were fitted in order to obtain the best agreement between the infarcted percentage assessed by TTC and by SPECT.
Because 2,3,5-triphenyl tetrazolium chloride or TTC staining is coupled with mitochondrial metabolism and Tc-99m-sestamibi is sequestered in mitochondria of viable myocardium, infarct size estimated by Linoview SPECT was compared to TTC staining [18, 19] which was performed as previously described . Briefly, after SPECT imaging, the animals were euthanized, their chest was opened, and their heart was excised and sliced into serial 1-mm-thick short-axis slices, parallel to the atrioventricular groove. The myocardial slices were weighted and further incubated at 37°C in 1% TTC for 20 min. To avoid any issue of contrast lost or chromatographic change that can occur during digitalization, the boundaries between the infarcted and viable myocardium regions were manually drawn using a binocular magnifier on a transparent sheet directly set in contact with the heart slices. Afterwards, the transparent sheets were scanned and the area of the regions was assessed using the Image J software (Bethesda, MD, USA). With this method, the epicardial and endocardial borders of each slice as well as the contours of the infarcted area were hand-traced and expressed in percentage of the total slice area. The weight of the infarcted and non-infarcted myocardium was then calculated by multiplying their relative proportion by the weight of the corresponding myocardial slice. The infarct size was then calculated as the sum of the infarcted segments in each individual slices and expressed in percentage of total myocardial mass. SPECT and histological analysis were performed by the Université Catholique de Louvain and the Université de Liège, respectively, with prior knowledge of the analysis of the other team.
TPD  was computed using QGS (AutoQUANT release 7.2, Philips Medical Systems, San Jose, CA, USA). A normal perfusion database and limits were built using the seven normal mice SPECT data.
Results are expressed as mean ± SD. Data were compared by the paired two-tailed Student’s t test, by linear regression and by the Bland-Altman test. P < 0.05 was considered statistically significant.
Linoview SPECT image quality
Infarcted fraction in a segment and its relative level observed in the numerical model
Experimental infarcted fraction in a segment as a function of its measured relative level
The optimal s-curve parameters found in order to have the best correlation between AIF and TTC were U c = 0.55 and n = 9. This experimental curve was very close to the theoretical predictions derived from the numerical ventricle model (Figures 6 and 7).
Correlation between AIF and total infarcted fraction observed in the numerical model
Comparison between SPECT and TTC estimates of the infarct size
A good correlation (R2 = 0.76) was observed between the post-mortem TTC and the TPD developed by Slomka et al. . However, the study shows that the novel proposed method provided a higher AIF-TTC correlation (R2 = 0.94) with a linear fit passing through the axis origin. In addition, normal database of myocardial perfusion for mice is no longer required. As a result, AIF is independent of imperfections in the heart reorientation. The suppression of normal databases including different strains and ages in the infarct size assessment process should allow a more precise quantification of the infarct size changes with time. This is an important issue in the field of studies evaluating the impact of regenerative therapies such as stem cells in preclinical models of ischemic heart disease.
The novel method requires only the generation of a 20-segment polar map which is commonly proposed in commercial softwares. Afterwards, the dimensions of the segment contours are measured in arbitrary units on the long axis slices (Figure 1). This can be done by pasting the displayed segment contours into imaging softwares such as paint and PowerPoint, or by simply measuring the contours on a paper copy using a ruler. The segments’ relative level is then rescaled by an s-shaped function taking into account all the effects affecting the final spatial resolution and finally weighted with the segment volume before being summed (Equation 5).
The model optimisation was performed only on 11 mice all bearing LCA infarction geometry, which represents some limitation of the validation. However, the fact that the optimal s-shaped curve experimentally found was very close to the theoretical predictions (Figures 5 and 6), and the fact that the correlation between the AIF and the total infarcted fraction was excellent (Figure 8, R2 = 0.94) for a wide infarction geometries modelling (i.e. various background levels, various defect sizes, various defect positions versus the breathing and versus the polar map segmentation) strongly supports the validity of the method. Note that the major effects, i.e. system resolution, breathing and surrounding background, are independent of the infarction geometry. The curve pivoting induced by the system resolution and breathing corresponds to a reduction in sensitivity, i.e. the infarcted fraction range (0, 1) in a segment is mapped into the reduced segment relative level range (0.5, 0.8). When the resolution is too altered, a loss of information occurs, i.e. segments with different infarcted fraction can end up to the same relative level (dashed line in Figures 5,6,7). The use of sestamibi leads to an overestimation of infarction area since segments with low perfusion are not always totally necrotic. However, this additional effect altering the effective spatial resolution is accounted for by the fine tuning of the theoretical curve to the experimental data.
Other groups have demonstrated the capability to quantify an infarct size in rats [9–11] and in mice [5, 7]. In mice, Wu et al.  used a pinhole SPECT system with a spatial resolution of 1.1 mm and Tc-99m-sestamibi as perfusion tracer and the validation was performed against autoradiography. Stegger et al.  used a small animal-dedicated PET camera with an effective spatial resolution of 0.7 mm and F-18-FDG. More recently, Wollenweber et al.  used a clinical pinhole SPECT system with a spatial resolution of 1.9 mm and Tc-99m-sestamibi. Wu et al.  found a good correlation between infarct size (IS) measured with pinhole SPECT and autoradiography (r = 0.83; y = 0.85x + 2.8). However, they observed an underestimation of ISs relative to autoradiography for small infarcts sizes. This underestimation was attributed to partial volume effect and to physiological motion blurring (heart beats and breathing). Wollenweber et al.  observed a systematic underestimation of the infarct size by the pinhole SPECT compared to histology for infarct extension ranging from 15% to 45%). Our results displayed a better correlation (r = 0.97), similar to that obtained by Stegger et al.  using the state-of-the-art, high-resolution PET camera (r = 0.98). These better results are probably at least partially explained by the higher spatial resolution of the Linoview SPECT system (0.6 mm) compared to those of the pinhole SPECT system used by Wu et al. (1.1 mm) or Wollenweber et al. (1.9 mm). Moreover, the Bland-Altman analysis revealed no systematic bias in the wide range of values obtained (Figure 10).
In these previously published studies, perfusion defects were quantified by using specially created softwares based on the generation of circumferential profiles [5, 10] or none [8, 9]. The novel proposed method only requires a polar map which was obtained in the present study using QPS, a widely available software routinely used in daily clinical practice. This software has been used by Constantinesco et al.  who obtained with a multiple pinhole SPECT system an accurate quantification of left ventricular parameters (perfusion and volumes) in normal mice. Unfortunately, in this study however, left ventricular perfusion evaluation was performed only in normal mice.
In our study, the mean activity injected was 173 ± 27 MBq of Tc-99m-sestamibi. This activity is at least two times less than that reported in most studies [5–7]. Tc-99m sestamibi is cleared through the hepatobiliary system, and the gallbladder uptake appears as a focus of radioactivity near the heart in the projection images. This often shadows the apex of the heart in the reconstructed images. To avoid such problem, an intraperitoneal injection of 0.1 μg/kg cholecystokinin (CCK) was performed 2 h after injection of Tc-99m-sestamibi. CCK induces gallbladder contraction, dispersing the activity away from the heart into the small intestine . Tc-99m-tetrofosmin or better Tc-99m-N-DBODC5 has a more rapid liver clearance than Tc-99m-sestamibi [21, 22]. The use of those tracers instead of Tc-99m-sestamibi should potentially induce less activity in the gallbladder allowing to skip CCK administration. This issue needs to be further studied.
The novel developed method applied on SPECT data provides an accurate infarct size assessment after LCA ligature in mice without using a normal perfusion database. The high-resolution Linoview SPECT system is a valuable tool for performing non-invasive and repetitive myocardial perfusion and infarct size evaluations during experimental studies in mice.
MD is a Télévie research assistant, YB is the research director of the Fonds National de la Recherche Scientifique et Médicale (FNRS), Belgium.
VR is supported by the FNRS. This work was supported by grants from the FNRS and from the Action de Recherche Concertée (ARC), Belgium.
- Klocke R, Tian W, Kuhlmann MT, Nikol S: Surgical animal models of heart failure related to coronary heart disease. Cardiovasc Res 2007, 74: 29–38. 10.1016/j.cardiores.2006.11.026PubMedView ArticleGoogle Scholar
- Tarnavski O, McMullen JR, Schinke M, Nie Q, Kong S, Izumo S: Mouse cardiac surgery: comprehensive techniques for the generation of mouse models of human diseases and their application for genomic studies. Physiol Genomics 2004, 16: 349–360. 10.1152/physiolgenomics.00041.2003PubMedView ArticleGoogle Scholar
- Csonka C, Kupai K, Kocsis GF, Novak G, Fekete V, Bencsik P, Csont T, Ferdinandy P: Measurement of myocardial infarct size in preclinical studies. J Pharmacol Toxicol Methods 2010, 61: 163–170. 10.1016/j.vascn.2010.02.014PubMedView ArticleGoogle Scholar
- Gibbons RJ, Valeti US, Araoz PA, Jaffe AS: The quantification of infarct size. J Am Coll Cardiol 2004, 44: 1533–1542. 10.1016/j.jacc.2004.06.071PubMedView ArticleGoogle Scholar
- Wu MC, Gao DW, Sievers RE, Lee RJ, Hasegawa BH, Dae MW: Pinhole single-photon emission computed tomography for myocardial perfusion imaging of mice. J Am Coll Cardiol 2003, 42: 576–582. 10.1016/S0735-1097(03)00716-2PubMedView ArticleGoogle Scholar
- Constantinesco A, Choquet P, Monassier L, Israel-Jost V, Mertz L: Assessment of left ventricular perfusion, volumes, and motion in mice using pinhole gated SPECT. J Nucl Med 2005, 46: 1005–1011.PubMedGoogle Scholar
- Wollenweber T, Zach C, Rischpler C, Fischer R, Nowak S, Nekolla SG, Gröbner M, Ubleis C, Assmann G, Müller-Höcker J, La Fougére C, Böning G, Cumming P, Franz WM, Hacker M: Myocardial perfusion imaging is feasible for infarct size quantification in mice using a clinical single-photon emission computed tomography system equipped with pinhole collimators. Mol Imaging Biol 2010, 12: 427–434. 10.1007/s11307-009-0281-5PubMedView ArticleGoogle Scholar
- Stegger L, Hoffmeier AN, Schafers KP, Hermann S, Schober O, Schafers MA, Theilmeier G: Accurate noninvasive measurement of infarct size in mice with high-resolution PET. J Nucl Med 2006, 47: 1837–1844.PubMedGoogle Scholar
- Hirai T, Nohara R, Hosokawa R, Tanaka M, Inada H, Fujibayashi Y, Fujita M, Konishi J, Sasayama S: Evaluation of myocardial infarct size in rat heart by pinhole SPECT. J Nucl Cardiol 2000, 7: 107–111. 10.1016/S1071-3581(00)90030-8PubMedView ArticleGoogle Scholar
- Acton PD, Thomas D, Zhou R: Quantitative imaging of myocardial infarct in rats with high resolution pinhole SPECT. Int J Cardiovasc Imaging 2006, 22: 429–434. 10.1007/s10554-005-9046-7PubMed CentralPubMedView ArticleGoogle Scholar
- Liu Z, Kastis GA, Stevenson GD, Barrett HH, Furenlid LR, Kupinski MA, Patton DD, Wilson DW: Quantitative analysis of acute myocardial infarct in rat hearts with ischemia-reperfusion using a high-resolution stationary SPECT system. J Nucl Med 2002, 43: 933–939.PubMed CentralPubMedGoogle Scholar
- Walrand S, Jamar F, de Jong M, Pauwels S: Evaluation of novel whole-body high-resolution rodent SPECT (Linoview) based on direct acquisition of linogram projections. J Nucl Med 2005, 46: 1872–1880.PubMedGoogle Scholar
- Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, Hayes SW, Germano G: Automated quantification of myocardial perfusion SPECT using simplified normal limits. J Nucl Cardiol 2005, 12: 66–77. 10.1016/j.nuclcard.2004.10.006PubMedView ArticleGoogle Scholar
- Germano G, Kavanagh PB, Waechter P, Areeda J, Van Kriekinge S, Sharir T, Lewin HC, Berman DS: A new algorithm for the quantitation of myocardial perfusion SPECT. I: technical principles and reproducibility. J Nucl Med 2000, 41: 712–719.PubMedGoogle Scholar
- Germano G, Kavanagh PB, Slomka PJ, Van Kriekinge SD, Pollard G, Berman DS: Quantitation in gated perfusion SPECT imaging: the Cedars-Sinai approach. J Nucl Cardiol 2007, 14: 433–454. 10.1016/j.nuclcard.2007.06.008PubMedView ArticleGoogle Scholar
- Gilson WD, Yang Z, French BA, Epstein FH: Measurement of myocardial mechanics in mice before and after infarction using multislice displacement-encoded MRI with 3D motion encoding. Am J Physiol Heart Circ Physiol 2005,288(3):1491–7.View ArticleGoogle Scholar
- Maï W, Badea CT, Wheeler CT, Hedlund LW, Johnson GA: Effects of breathing and cardiac motion on spatial resolution in the microscopic imaging of rodents. Magn Reson Med 2005,53(4):858–65. 10.1002/mrm.20400PubMedView ArticleGoogle Scholar
- Ojha N, Roy S, Radtke J, Simonetti O, Gnyawali S, Zweier JL, Kuppusamy P, Sen CK: Characterization of the structural and functional changes in the myocardium following focal ischemia-reperfusion injury. Am J Physiol Heart Circ Physiol 2008, 294: H2435-H2443. 10.1152/ajpheart.01190.2007PubMedView ArticleGoogle Scholar
- Liu Z, Johnson G, Beju D, Okada RD: Detection of myocardial viability in ischemic-reperfused rat hearts by Tc-99m sestamibi kinetics. J Nucl Cardiol 2001, 8: 677–686. 10.1067/mnc.2001.117687PubMedView ArticleGoogle Scholar
- Vivaldi MT, Kloner RA, Schoen FJ: Triphenyltetrazolium staining of irreversible ischemic injury following coronary artery occlusion in rats. Am J Pathol 1985, 121: 522–530.PubMed CentralPubMedGoogle Scholar
- Munch G, Neverve J, Matsunari I, Schroter G, Schwaiger M: Myocardial technetium-99m-tetrofosmin and technetium-99m-sestamibi kinetics in normal subjects and patients with coronary artery disease. J Nucl Med 1997, 38: 428–432.PubMedGoogle Scholar
- Hatada K, Riou LM, Ruiz M, Yamamichi Y, Duatti A, Lima RL, Goode AR, Watson DD, Beller GA, Glover DK: 99mTc-N-DBODC5, a new myocardial perfusion imaging agent with rapid liver clearance: comparison with 99mTc-sestamibi and 99mTc-tetrofosmin in Rats. J Nucl Med 2004, 45: 2095–2101.PubMedGoogle Scholar
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