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Original Article
41 (
1
); 41-48
doi:
10.25259/IJNM_96_25

Early Versus Standard Late Image Acquisition in Adenosine Myocardial Perfusion Imaging

Department of Nuclear Medicine and PET/CT, Jaslok Hospital and Research Centre, Mumbai, Maharashtra, India
Department of Nuclear Medicine, HN Reliance Hospital, Mumbai, Maharashtra, India

*Corresponding author: Dr. Siven Kar, Department of Nuclear Medicine and PET/CT, Jaslok Hospital and Research Centre, Mumbai, Maharashtra, India. siven.kar@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Gupta H, Kar S, Luthra K, Lele V, Shaikh N. Early Versus Standard Late Image Acquisition in Adenosine Myocardial Perfusion Imaging. Indian J Nucl Med. 2026;41:41-8. doi:10.25259/IJNM_96_25

Abstract

Objectives:

Transient postischemic left ventricle (LV) dysfunction due to myocardial stunning in patients with ischemic heart disease can be missed by conventional gated single-photon emission computed tomography, which advises a 45-min delay after pharmacological stress. Early imaging may detect poststress stunning in ischemic myocardium more effectively. This study aimed to investigate whether early imaging (15 min poststress) detects parameters of stress-induced LV dysfunction better than standard late imaging (45 min poststress).

Material and Methods:

A prospective study was conducted with 100 patients undergoing 1-day rest-stress pharmacological myocardial perfusion imaging. Early poststress images were taken at 15 min (T15) and late poststress images at 45 min (T45). Image quality, heart/lung ratios, perfusion scores (Summed Stress Score [SSS], Summed Difference Score [SDS]), and functional parameters (EF, end-diastolic volume [EDV], end-systolic volume [ESV], transient ischemic dilatation [TID]) were evaluated and compared. An SDS ≥ 4 defined an abnormal perfusion response.

Results:

Ischemia was detected in 38% of patients at T15, compared to 34% at T45 (P < 0.001). No significant differences were found in SSS or SDS between T15 and T45. Image quality improved over time, with 90% of T45 images rated as excellent, compared to 64% at T15. The heart/lung ratio was significantly higher at T45 than at T15 (P < 0.001). No significant differences in EF, EDV, or ESV were observed. Ischemic patients showed a trend toward statistical significance in ΔEF, suggesting potential LVEF changes.

Conclusion:

Early T15 imaging detects reversible perfusion defects more effectively, offering potential diagnostic advantages over T45, while maintaining similar image quality and diagnostic precision. Although EF changes were not statistically significant, trends suggest myocardial stunning and subtle stress responses.

Keywords

Adenosine myocardial perfusion imaging
Early poststress imaging
Gated single-photon emission computed tomography
Left ventricle dysfunction
Myocardial stunning
Transient ischemia detection

INTRODUCTION

Myocardial ischemia most frequently occurs due to the presence of atherosclerotic disease in one or more epicardial coronary arteries, resulting in a localized decrease in myocardial blood flow and insufficient perfusion of the myocardium nourished by the affected coronary artery.[1]

Nuclear imaging techniques involve Gated single-photon emission computed tomography (GSPECT), Myocardial Perfusion Imaging (MPI), performed using dual dual-head/triple-head conventional gamma camera or a dedicated cardiac Cadmium Zinc Telluride (CZT) gamma camera following the radiopharmaceutical injection. It has been used to diagnose and determine prognosis in coronary artery disease (CAD).[2,3] Technetium-99m (99mTc)-Tetrofosmin has gained attention for its ability to produce clear images, and its biokinetics closely resemble those of 99mTc-sestamibi. It is a positively charged (cationic) diphosphine radiopharmaceutical with high myocardial uptake, exhibiting a first-pass extraction efficiency of around 50%. Tetrofosmin demonstrates excellent retention with minimal redistribution, binding predominantly to cytoplasmic mitochondria. Hepatic uptake of 99mTc-Tetrofosmin is minimal, and clearance from the liver postexercise is rapid. The choice of MPI protocol, whether a 1-day or 2-day protocol, is flexible.[2]

In individuals diagnosed with significant coronary artery disease, stress testing often reveals a disparity between myocardial supply and demand. This imbalance leads to abnormalities in myocardial perfusion, followed by irregularities in segmental contractility, a process reliant on energy, resulting in temporary stunning of the cardiac muscle cells. While this occurrence is frequently associated with physical exercise or the administration of dobutamine, vasodilator (adenosine) stress testing can also trigger myocardial ischemia, a phenomenon commonly referred to as the steal phenomenon.[4] Transient postischemic left ventricle (LV) dysfunction due to myocardial stunning in patients with ischemic heart disease can be missed by conventional GSPECT acquisitions, as current American Society of Nuclear Cardiology imaging guidelines for 99mTc-tetrofosminsuggest minimum delays of 10–15 min for exercise, 30–45 min for rest, and 45 min for pharmacological stress.[5]

Compared with other 99mTc-labeled myocardial perfusion scan agents, 99mTc-tetrofosmin shows rapid accumulation in the myocardium and relatively rapid clearance from background organs. Because of its minimal redistribution and therefore lack of significant changes in myocardial tracer distribution over time, there is a rationale for imaging as early as 5–15 min after tracer injection.

Therefore, if the time delay between tracer injection and imaging is reduced, there will be more chances to detect poststress stunning in ischemic myocardium (the shorter the time delay between stress injection and imaging, the maximum is the chance to detect ischemic wall motion abnormality).[4,6] This information is of importance to demonstrate, for example, postischemic stunning, or to evaluate the LV stress adaptation by means of ejection fraction and volumes measurements, as well as transient ischemic dilatation of the left ventricle, which are all markers indicative of severe CAD and can be used as prognostic factors that are the main parameters for prognostic assessment.

MATERIAL AND METHODS

A total of 100 patients with suspected or known ischemic heart disease who were referred to our nuclear medicine department for pharmacological stress MPI study, underwent MPI rest-stress same-day protocol on a dedicated solid-state CZT detector cardiac SPECT camera (Discovery NM 530c; GE Healthcare, Haifa, Israel) imaging. This involved the administration of 185 MBq of 99mTc-Tetrofosmin. Resting-CZT images were acquired 1 h later for 8 min. Patient underwent pharmacological stress with adenosine infusion over 4 min at a rate of 140 μg/kg/min. At 2 min, 740 MBq99mTc-Tetrofosmin was injected intravenously, and poststress CZT images were acquired after 15 min (early stress-T15) and 45 min (standard late stress-T45) later for 5 min. Image acquisition times and injected tracer doses were already validated in similar patients’ populations with the same camera and calculated in order to obtain a number of counts generally acquired by the same CZT camera after a standard tracer injection.[7] Patients were imaged in the supine position with arms placed over their heads without any detector or collimator motion. All images were acquired with a 32 × 32 matrix and a 20% energy window centered at the 140 keV photopeak of 99mTc (pixel width 4 mm). Acquisition of list mode files was performed, and images were reconstructed on a standard workstation (Xeleris II; GE Healthcare, Haifa, Israel) using a dedicated iterative algorithm with 50 iterations. A Butterworth postprocessing filter (frequency 0.37, order 7) was applied to the reconstructed slices. Reconstruction of images was performed without scatter or attenuation correction.

In our study, the poststress images were taken twice, 15 and 45 min after stress, while a single rest study was conducted. However, due to separate processing of the rest-early stress images and rest-delayed stress images, different values for the rest scan were obtained despite it being acquired only once.

Analysis of image quality

In order to estimate the image quality score, the following criteria were used:

  • Score 0 (excellent), interpretation was reliable and easy

  • Score 1 (good), interpretation was also reliable but less easy

  • Score 2 (fair), interpretation was still suitable but more difficult

  • Score 3 (poor), there was no reliable clinical image interpretation.

Heart/lung ratios were also acquired using 5 mm × 5 mm regions of interest drawn on the anterior images.

Analysis of perfusion images

Perfusion images were opened in Emory University’s Cardiac Toolbox (ECT) software and were scored according to the 17-segment LV model and a five-point scale (0 - normal, 1 – equivocal, 2 – moderate, 3 – severe reduction of tracer uptake, and 4 – no tracer uptake), and the Summed Rest Score (SRS), Summed Stress Score (SSS), and Summed Difference Score (SDS) were calculated. Final results were visually inspected, and scores were manually corrected if required. A study conducted by Pirich et al.,[8] “99mTc tetrofosmin myocardial perfusion scintigraphy in CAD performance with early and standard delayed acquisition and fractional flow reserve,” they took a severity threshold of SDS ≥4 to classify as ischemic myocardium. We have also taken this value as cutoff to subclassify patients into ischemic and nonischemic groups. A 10-step color scale was employed to interpret the images, facilitating a semi-quantitative assessment of abnormal perfusion areas. This scale ranges from blue (indicating the lowest uptake of the imaging agent) to white (the highest uptake). Each step on the scale represents a 10% increase in perfusion relative to the preceding color.

Analysis of gated images

LV function analysis was performed on 16-frame reformatted images using the available software “Myovation” (GE Healthcare). The end-diastolic volume (EDV), end-systolic volume (ESV), Ejection Fraction (EF), and Transient Ischemic Dilatation (TID) were calculated in every patient for the rest, early stress, and delayed stress studies. Manual correction of ventricular borders was performed, if necessary.

All collected data were analysed using Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA) and IBM SPSS Statistics for Windows (IBM Corporation, Armonk, New York, USA)

RESULTS

We have taken a total of 100 patients (n = 100) in our study.

The mean age of the patient’s population was 63.34 ± 11.32 years. Median age of the population was 65. Out of 100, 75% were males, while 25% were females. There was a statistically significant difference between the ischemic and nonischemic groups in terms of the distribution of Gender (χ2 = 5.058, P = 0.025).

In our study, we found that 43% were diabetic, 39% were dyslipidemic, 12% were smokers, 28% had a family history of CAD, and 72% were hypertensive. A clinical history of coronary artery disease was present in 47% patients, previous revascularization with percutaneous coronary angioplasty or coronary artery bypass graft in 44% and 42% had symptoms of angina pain. Among these parameters, we found a statistically significant difference between the ischemic and nonischemic groups in terms of distribution of diabetes (χ2 = 8.965, P = 0.003) [Table 1].

Table 1: Patients characteristics
Parameter Patients (All) (n=100). n (%) Ischemic (SDS >4) (n=39), n (%) Non ischemic (n=61), n (%) P
Age (years), mean±SD 63.34±11.32 63.08±10.38 63.51±11.96 0.682a
Gender***
Male 75 (75) 34 (87.2) 41 (67.2) 0.025b
Female 25 (25) 5(12.8) 20 (32.8)
Hypertension 72 (72) 29 (74.4) 43 (70.5) 0.674b
Diabetes*** 43 (43) 24 (61.5) 19 (31.1) 0.003b
Smoking 12 (12) 3(7.7) 9 (14.8) 0.358c
Dyslipidemia 39 (39) 13 (33.3) 26 (42.6) 0.353b
Family history 28 (28) 14 (35.9) 14 (23) 0.16b
Known CAD/prior MI 47 (47) 23 (59) 24 (39.3) 0.055b
Prior revascularization 44 (44) 20 (51.3) 24 (39.3) 0.241b
Typical angina 42 (42) 19 (48.7) 23 (37.7) 0.276b
Significant at P<0.05, aWilcoxon Mann–Whitney U-test, bChi-square test, ‘Fisher’s exact test. SD: Standard deviation, SDS: Summed difference score CAD: coronary artery disease/MI: Myocardial infarction

Image quality

Change in image quality over time– subjective semi-quantitative grading At T15 (early) imaging– Image quality was graded as excellent in 64% of the participants and good in 30% while 6% participants had fair image quality. At T45 (standard late) imaging– Image quality was graded as excellent in 90% of the participants and good in 9% while 1% participants had fair image quality. No studies were uninterpretable due to poor image quality. 22 (22.0%) patients moved from the category Grade 1 to the category Grade 0. 4 (4.0%) patients moved from the category Grade 2 to the category Grade 0. 1 (1.0%) patient moved from the category Grade 2 to the category Grade 1. The overall change in Quality was statistically significant (Stuart– Maxwell test: χ2 = 26.228, P ≤ 0.001).

Assessment of heart/lung ratio over time The mean Heart/Lung Ratio increased from a minimum of 3.02 at the T15 imaging to a maximum of 3.16 at the T45 imaging (P ≤ 0.001) [Table 2].

We found the prevalence of ischemia in 39% of our patients with the SDS ≥4 on either T15 or T45 imaging. Six patients were classified differently using the two acquisition times; five of them had a higher SDS in T15 imaging, and one had a higher SDS in T45 imaging. There was a statistically significant difference between T15 and T45 groups in terms of distribution of ischemia (χ2 = 76.266, P ≤ 0.001) [Table 3 and Fig 1 and 2].

Table 2: Assessment of change in heart/lung ratio over time
Timepoint Heart/lung ratio Wilcoxon test
Mean±SD Median (IQR) Range V P
T15 3.02±0.62 2.99 (0.72) 1.85-4.55 1115.0 <0.001
T45 3.16±0.66 3.03 (0.89) 1.67-5.56
Absolute change 0.14±0.40 0.12 (0.34) -0.78-2.22
Percentage change 5.4%±13.3 3.7% (11.3) -18%-67%

SD: Standard Deviation, IQR: Interquartile range, V represents the sum of the ranks assigned to the positive differences between matched pairs, p<0.001: Significant

Table 3: Ischemia status at T15 and T45 imaging
Ischemia (T45) Ischemia (T15) Chi-squared test
Yes, n (%) No, n (%) Total, n (%) X2 P
Yes 33 (86.8) 1 (1.6) 34 (34.0) 76.266 <0.001
No 5 (13.2) 61 (98.4) 66 (66.0)
Total 38 (100.0) 62 (100.0) 100 (100.0)

(P ≤ 0.001): Significant

A 77-year-old female, known case of hypertension, DM, Dyslipidemia, coronary artery disease (CAD) (post angioplasty to Right Coronary Artery), presented with intermittent chest pain at rest for 15 days. (a) Early post stress images showed mild hypoperfusion in the apex, apical septum, apical inferolateral and basal septum (blue arrows). (b) Delayed post stress images show mild hypoperfusion in the apex and apical septum (yellow arrows). Resting images show improvement in the perfusion defects. Overall, early stress images showed more perfusion defects as compared to standard delayed stress images
Fig 1:
A 77-year-old female, known case of hypertension, DM, Dyslipidemia, coronary artery disease (CAD) (post angioplasty to Right Coronary Artery), presented with intermittent chest pain at rest for 15 days. (a) Early post stress images showed mild hypoperfusion in the apex, apical septum, apical inferolateral and basal septum (blue arrows). (b) Delayed post stress images show mild hypoperfusion in the apex and apical septum (yellow arrows). Resting images show improvement in the perfusion defects. Overall, early stress images showed more perfusion defects as compared to standard delayed stress images
A 50-year-old male, known case of coronary artery disease post angioplasty to Left Anterior Descending, asymptomatic. (a) Early post stress images show severe hypoperfusion in the apex, apical anterior wall, apical anteroseptum and moderate hypoperfusion in the mid septum. There is mild-to-moderate hypoperfusion in the entire inferior wall (blue arrows). (b) Delayed standard stress images showed severe hypoperfusion in the apex, apical anterior wall, apical anteroseptum, and moderate hypoperfusion in the mid septum and mild hypoperfusion in the entire inferior wall (yellow arrows). Resting images showed partial improvement in the perfusion defects. Early stress images showed more severe hypoperfusion in the inferior wall as compared to standard delayed stress images
Fig 2:
A 50-year-old male, known case of coronary artery disease post angioplasty to Left Anterior Descending, asymptomatic. (a) Early post stress images show severe hypoperfusion in the apex, apical anterior wall, apical anteroseptum and moderate hypoperfusion in the mid septum. There is mild-to-moderate hypoperfusion in the entire inferior wall (blue arrows). (b) Delayed standard stress images showed severe hypoperfusion in the apex, apical anterior wall, apical anteroseptum, and moderate hypoperfusion in the mid septum and mild hypoperfusion in the entire inferior wall (yellow arrows). Resting images showed partial improvement in the perfusion defects. Early stress images showed more severe hypoperfusion in the inferior wall as compared to standard delayed stress images

There was no statistically significant difference for the perfusion scores SSS and SDS at T15 and T45 imaging. No statistically significant differences were noted between T15 and T45 imaging individually for ischemic and nonischemic groups.

For the ischemic group, although the P values for both SSS (0.054) and SDS (0.106) are slightly above the conventional threshold of 0.05, they suggest a trend towards significance, indicating a possible change in perfusion scores between T15 and T45, however, not strong enough to reach statistical significance. In the nonischemic group, no statistically significant changes in perfusion scores between T15 and T45 were noted.

Perfusion parameters

No statistically significant differences were observed in the SSS or SDS at T15 and T45. In the ischemic group, SSS decreased slightly from 13.21 ± 6.83 at T15 to 12.85 ± 6.84 at T45 (P = 0.054), while SDS decreased from 6.1 ± 3.33 at T15 to 5.79 ± 3.57 at T45 (P = 0.106). In the non-ischemic group, there were no significant changes in either SSS or SDS [Table 4].

Table 4: Association between perfusion parameters and acquisition time
All patients T15 T45 P
SSS 9.19±7.74 9.05±7.65 0.165a
SDS 3.08±3.33 2.93±3.34 0.150a
SSS (ischemic patients) 13.21±6.83 12.85±6.84 0.054a
SDS (ischemic patients) 6.10±3.33 5.79±3.57 0.106a
SSS (nonischemic patients) 6.62±7.22 6.62±7.18 1a
SDS (nonischemic patients) 1.15±1.22 1.10±1.26 0.745a
Wilcoxon test, SSS: Summed stress score, SDS: Summed difference score. p<0.05: Significant

Ejection fraction

LVEF (Left Ventricular Ejection Fraction) parameters showed no statistically significant differences between T15 and T45 for the entire cohort or for ischemic and nonischemic subgroups. Similarly, there were no significant changes in ΔEF (P = 0.6202) [Tables 5 and 6].

Table 5: Association between ejection fraction and acquisition
All patients T15 T45 P
Stress LVEF (%) 55.40±14.53 55.85±14.59 0.277a
Rest LVEF (%) 55.44±14.38 55.64±14.38 0.419a
AEF (rest EF - stress EF) 0.04±5.61 -0.21±5.82 0.620b
Ischemic patients AEF 1.10±5.46 -0.05±5.56 0.126b
Nonischemic patients AEF -0.64±5.64 -0.31±6.03 0.626b
Ischemic patients - stress LVEF(%) 52.33±12.48 53.33±12.71 0.178b
Ischemic patients - rest LVEF(%) 53.44±12.33 53.28±12.09 0.529b
Nonischemic patients stress LVEF (%) 57.36±15.48 57.46±15.57 0.825b
Nonischemic patients rest LVEF(%) 56.72±15.51 57.15±15.58 0.094b
Wilcoxon Mann-Whitney U test, bPaired t-test, LVEF: Left ventricular ejection fraction, EF: Ejection fraction. p<0.05: Significant
Table 6: Association between presence of ischemia, acquisition time and left ventricular ejection fraction
Parameters Ischemic Nonischemic P
EF - rest (T15) 53.44±12.33 56.72±15.51 0.106a
EF - rest (T45) 53.28±12.09 57.15±15.58 0.075a
EF - stress (T15)*** 52.33±12.48 57.36±15.48 0.031a
EF - stress (T45) 53.33±12.71 57.46±15.57 0.061a
AEF (T15) 1.10±5.46 -0.64±5.64 0.128b
AEF (T45) -0.05±5.56 -0.31±6.03 0.826b
Wilcoxon-Mann–Whitney U-test, bt-test. EF: Ejection fraction. *** denotes significance at p < 0.05

Other parameters

There were also no significant differences in EDV or ESV between T15 and T45 in any group. A significant difference was found in TID between T15 and T45 for all patients, but no significant changes were noted within the ischemic (P = 0.216) or nonischemic groups (P = 0.345). These results suggest that while ischemic status showed a temporal variation, other parameters such as LVEF, EDV, ESV, and TID remained largely unchanged [Table 7].

Table 7: Association between acquisition time and other function parameters
Parameters T15 T45 P
EDV (all patients) 87.73±35.98 88.27±35.43 0.093a
EDV (ischemic) 98.21±34.06 99.44±33.02 0.221a
EDV (nonischemic) 81.03±35.83 81.13±35.32 0.234a
ESV (all patients) 43.42±29.68 42.48±29.32 0.744a
ESV (ischemic) 50.62±26.90 48.44±26.36 0.375a
ESV (nonischemic) 38.82±30.65 38.67±30.67 0.700a
TID (all patients)*** 1.05±0.09 1.06±0.08 0.047a
TID (ischemic) 1.07±0.11 1.07±0.08 0.216a
TID (nonischemic) 1.05±0.08 1.06±0.08 0.345-
Wilcoxon test, TID: Transient ischemic dilatation, ESV: End systolic volume, EDV: End diastolic volume. *** denotes significance at p < 0.05

DISCUSSION

Philippe et al.,[9] in their study, they imaged 194 patients with tetrofosmin early poststress and at 30 min poststress. They found similar image quality at early poststress SPECT (GPS) (excellent/good in 93.9%) and at 30 min poststress (GS30) SPECT (excellent/good in 96.6%).

A similar study was conducted by Katsikis et al.[10] using a 1-day stress-rest protocol involving 78 patients who underwent either exercise or adenosine stress. Imaging was performed with tetrofosmin at early (15 min) and late (45 min) time points following stress and rest tracer injection. They found that 93% of patients in the early imaging group achieved optimal or good image quality, as compared to 98% in the late imaging group.

In the study by Philippe et al.,[9] Single-frame anterior projections were used to acquire the counts in the heart and lung. Statistically significant differences in the heart-to-lung ratios between 99mTc-tetrofosmin early and 30 min poststress with ratios increasing with increased imaging time, was reported. Heart/lung ratio: GPS-2.72 and GS30-2.92.

Giorgetti et al.,[11] assessed 120 patients at two imaging delay times (15 min and 45 min). They reported no statistically significant differences in counts of the heart, lungs, liver, and subdiaphragmatic area between the two times after 99 mTc-tetrofosmininjection.

Prevalence of ischemia and perfusion parameters

A study conducted by Pirich et al.[8] found a mean SSS value of 6.4 ± 6.3 and 5.6 ± 6.1 was found in early and standard imaging, respectively (P = 0.009). Using a severity threshold of SDS ≥4, 24 patients were classified as showing ischemic myocardium in early imaging compared to 21 in standard imaging (P = ns). Within the group of patients with a SDS ≥4, SSS amounted to 12.3 ± 5.9 with EA and 11.5 ± 4.8 with SA, respectively. SDS was 7.7 ± 2.9 with EA and 7.3 ± 3.3 with SA (ns), respectively. In 7 of 45 patients, the SDS was different between the acquisition times.

Mut et al.[12] found prevalence of ischemia (63 patients [27%]) in patients undergoing MPI. Assignment to the ischemic group showed consistency regardless of whether early or late images were considered, with the majority of patients (n = 223, 97%) having identical SDS values. Only six patients had discordance between the two acquisition times; four exhibited a lower SDS at Stress-1, while two showed the opposite trend.

Philippe et al.,[9] in their study, 40% of the patients were considered abnormal (SSS ≥4). Considering the total patient population, there was no statistically significant difference for the perfusion scores (SSS) early and at 30 min poststress. In the normal patient group, the statistical differences observed related to the perfusion scores of GPS vs GS30, GS30 vs. 30 min postrest (GR30) (P < 0.001 and P < .001, respectively). In the subgroup of patients with ischemia, they found a significant difference in the perfusion score between GPS images and GS30 images during the stress-rest protocol.

Sobic-Saranovic et al.[13] showed that perfusion parameters SSS and SDS were not statistically different between the ES and SS protocols.

Myocardial function parameters analysis

Ejection fraction

For all patients, there were no statistically significant differences observed in stress LVEF or rest LVEF between the two time points. Similarly, the ΔEF (difference between rest and stress LVEF) did not show statistically significant differences (P = 0.620) across all patients. When analysing ischemic and non-ischemic subgroups, ischemic patients showed a trend towards statistical significance in ΔEF (P = 0.126), suggesting potential changes in LVEF between stress and rest conditions. However, stress LVEF and rest LVEF did not significantly differ within the ischemic subgroup. In contrast, there were no statistically significant differences observed in stress LVEF or rest LVEF within the non-ischemic subgroup. These findings suggest overall stability in LVEF measurements across stress and rest conditions for all patients, with potential implications in LVEF changes specifically among ischemic patients.

Mut et al.[12] showed LVEF was significantly associated with the presence of ischemia and varied depending on the time of acquisition (R, Stress-1, and Stress-2). In patients with ischemia, the difference in LVEF (Δ-LVEF) between R-Stress-1 and R-Stress-2 was significant (4.1% vs 2.7%, P = 0.02). The difference in Δ-LVEF between R-Stress-1 and R-Stress-2 was smaller in non-ischemic patients (0.2% vs 1.1%, P = 0.03). They observed the largest average difference in LVEF between ischemic and non-ischemic populations at Stress-1, with an average difference of 4.4% (95% CI 0.0-8.7, P = 0.05).

Sobic-Saranovic et al.[13] showed EF was significantly lower for ES than for SS. The stress-rest difference in EF was, on average, negative for ES but positive for SS, resulting in a statistically significant difference between the two protocols.

Dizdarevic et al.[14] showed that, at T15, the mean poststress LVEF was 56.6 ± 11.2% as compared to 60.5 ± 11.4% at rest (P = 0.00013). In contrast, there was no statistically significant difference seen between resting (60.7 ± 10.8%) and poststress LVEF at T45 (59.0 ± 10.9%; P = 0.17). Post stress LVEF at T15 was significantly lower than poststress LVEF at T45 (P= 0.02). In ischemic patients, poststress LVEF at T15 was significantly lower (±55.0%) in these patients compared with resting LVEF (±58.8%; P < 0.0005), but no statistically significant difference was seen between stress (±57.2%) and rest (±58.2%; P > 0.05) at T45. No statistically significant differences in LVEF at either time point were seen in patients in whom no reversibility could be seen.

A study conducted by Pirich et al.,[8] the average poststress EF during early acquisition was 52 ± 11%, whereas during standard acquisition, it was 55 ± 11% (P = ns). The EF at rest was measured at 55 ± 17%.

End-diastolic volume, end-systolic volume, transient ischemic dilatation

Philippe et al.[9] in their study showed that the volumes (EDV and ESV) were similar across different acquisitions, with no statistically significant differences observed among GPS, GR30, and GS30, regardless of the protocol.

Mut et al.[12] showed EDV and ESV were similar in both of the postexercise acquisitions.

Our research offers valuable insights into how cardiac parameters and perfusion scores change dynamically across two imaging sessions. Our findings indicate that reversible perfusion defects caused by underlying inducible ischemia are more noticeable during the T15 imaging compared to T45, potentially enhancing diagnostic accuracy and influencing treatment decisions. Early T15 imaging detects reversible perfusion abnormalities more effectively, while maintaining imaging quality similar to standard late imaging in most cases, ensuring comparable diagnostic precision for detecting and grading ischemia in CAD patients. Stable perfusion scores and consistent cardiac function parameters (such as LVEF, EDV, ESV) suggest reliable measurement consistency between imaging sessions. Although the decline in EF among ischemic patients during early and standard late imaging was not statistically significant, the trend towards significance in ΔEF implies possible subtle changes in cardiac contractility or stress response over time, indicative of myocardial stunning.

LIMITATIONS

  • Alterations in wall motion or thickening were not assessed in our study, with the main concentration on variations in LVEF

  • Additionally, we do not have outcome data to evaluate the comparative prognostic significance of changes in LVEF between early and standard late imaging sessions.

CONCLUSION

  • We recommend that early imaging offers a potential advantage over standard late imaging by providing a more accurate assessment of myocardial stunning, facilitated by a reduced interval between the pharmacological stress test and SPECT acquisition. Our results support that early imaging maintains good image quality; however, if initial image quality is suboptimal, we advise considering delayed acquisition to ensure comprehensive evaluation and confirmation of findings

  • Additionally, early imaging is anticipated to improve patient adherence and enhance the cost-effectiveness of services.

Ethical approval:

Ethical approval for this study was obtained from the Institutional Ethics Committee of Jaslok Hospital and Research Centre, approval no. EC/1132/2022, dated 3rd October 2022.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The author(s) confirms that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using the AI.

Financial support and sponsorship: Nil.

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