Renal iodine123-metaiodobenzylguanidine scintigraphy relates to muscle sympathetic nervous activity in heart failure with reduced ejection fraction.

BACKGROUND: Renal denervation is effective for modulating augmented sympathetic nerve activity (SNA) in heart failure with reduced ejection fraction (HFrEF). We have demonstrated that renal iodine123-metaiodobenzylguanidine (123I-MIBG) scintigraphy is associated with muscle sympathetic nerve activity (MSNA) in patients with hypertension. However, it is unclear whether renal 123I-MIBG scintigraphy is useful for assessment of SNA in HFrEF. METHODS: The study population consisted of 24 HFrEF patients and 11 healthy subjects as controls. Patients with HFrEF underwent 123I-MIBG scintigraphy and hemodynamics using a Swan-Ganz catheter (SGC). HFrEF was defined as echocardiography with left ventricular ejection fraction (LVEF) < 50%. MSNA was measured from the peroneal nerve for direct evaluation of SNA. Renal 123I-MIBG scintigraphy was performed simultaneously with cardiac scintigraphy. The early and delayed kidney-to-mediastinum ratio (K/M), early and delayed heart-to-mediastinum ratio (H/M), and washout rate (WR) were calculated. RESULTS: LVEFs were 35% ± 11% in patients with HFrEF and 63% ± 10% in the controls (p < 0.01). The WR of cardiac 123I-MIBG showed no relation to MSNA, but was related to stroke volume (r = 0.45, p < 0.05). In contrast, the WR of renal 123I-MIBG scintigraphy (average of both sides) showed a strong correlation with MSNA (BI, r = 0.70, p < 0.01; BF, r = 0.66, p < 0.01); however, no significant correlations were detected between renal 123I-MIBG scintigraphy and SGC results. CONCLUSIONS: The WR of renal 123I-MIBG scintigraphy may reflect MSNA. Further studies are needed to clarify the relationship between renal 123I-MIBG imaging and renal SNA.

Predictive value of electrocardiography-gated myocardial perfusion imaging to new-onset heart failure in patients with chronic kidney disease: findings from the J-ACCESS 3 study.

The incidence of heart failure (HF) increases in patients with chronic kidney disease (CKD). Factors that could predict patients with CKD who are at high risk for developing HF should be identified. We analysed clinical parameters and stress/rest myocardial perfusion imaging (MPI) findings derived from 499 patients with CKD by the Japanese Assessment of Cardiac Events and Survival Study by Quantitative Gated SPECT 3 (J-ACCESS 3) to clarify predictors of new-onset HF. Forty-one patients with congestive HF in the J-ACCESS 3 database were followed up for three years. Multivariable Cox hazards models selected haemoglobin (hazard ratio [HR] 0.809; 95% confidence interval [CI] 0.679-0.964), summed stress score (HR 1.082; 95% CI 1.016-1.151) and left ventricular ejection fraction (HR 0.970; 95% CI 0.949-0.992) as independent predictors of new-onset HF. Haemoglobin combined with summed stress scores and ejection fraction had the greatest incremental prognostic value over any one or more combined factors (global χ2, 29.9). Anaemia, stress-induced myocardial ischaemia, and left ventricular contraction are independent predictors of risk of new-onset HF in patients with CKD. Stress/rest MPI provides additional information with which to identify patients with CKD at greater risk of new-onset HF.

Impact of iterative reconstruction with resolution recovery in myocardial perfusion SPECT: phantom and clinical studies.

The corrections of photon attenuation, scatter, and depth-dependent blurring improve image quality in myocardial perfusion single-photon emission computed tomography (SPECT) imaging; however, the combined corrections induce artifacts. Here, we present the single correction method of depth-dependent blurring and its impact for myocardial perfusion distribution in phantom and clinical studies. The phantom and clinical patient images were acquired with two conditions: circular and noncircular orbits of gamma cameras yielded constant and variable depth-dependent blurring, respectively. An iterative reconstruction with the correction method of depth-dependent was used to reconstruct the phantom and clinical patient images. We found that the single correction method improved the robustness of phantom images whether the images contained constant or variable depth-dependent blurring. The myocardial perfusion databases generated from 72 normal patients exhibited uniform perfusion distribution of whole myocardium. In summary, the single correction method of depth-dependent blurring with iterative reconstruction is helpful for myocardial perfusion SPECT.

Initial Experience With Radium-223 Chloride Treatment at the Kanazawa University Hospital.

BACKGROUND/AIM: To evaluate our initial experience with radium-223 chloride (Ra-223). MATERIALS AND METHODS: A total of 26 castration-resistant prostate cancer (CRPC) patients with bone metastases, treated with Ra-223 at our hospital were evaluated. This study aimed to observe adverse events (AEs) and changes in serum markers, and Bone Scan Index (BSI). Additionally, the relationship between these values and OS was investigated. RESULTS: The observed AEs mainly included fatigue and nausea. Alkaline phosphatase (ALP) and bone-type alkaline phosphatase (BAP) levels decreased following the treatment; however, those of PSA and 1-CTP tended to increase, regardless of Ra-223 administration. Overall survival (OS) was significantly improved in cases with a baseline BSI value of <2 compared with those with a baseline BSI value of ≥2. Moreover, the decrease in BSI after administration of Ra-223 was an independent factor, significantly prolonging OS. CONCLUSION: ALP and BAP levels and BSI values are suitable evaluation markers during treatment with Ra-223. Also, baseline BSI values and the decrease in BSI following treatment are independent factors predicting OS.

Impact of calibration methods for color medical displays on interpreting brain SPECT images.

PURPOSE: Color images are visualized on medical monitors that are adjusted by a grayscale standard display function (GSDF) or γ2.2. Although the GSDF is visually displayed as a linear graded grayscale, it does not specify how color medical images should be presented. On the other hand, the usual gamma setting for color images is γ2.2, but it has not been standardized. The color standard display function (CSDF) has recently been proposed as a standardized gamma setting for color medical monitors. However, the influence of various gamma settings on image characteristics should be determined. The present study aimed to identify differences in color-scale characteristics on nuclear medicine images displayed on medical monitors adjusted by CSDF, GSDF, and γ2.2. METHODS: Transverse normal (n = 1) and abnormal (n = 5) brain perfusion images were generated using a mathematical digital phantom. Transverse phantom and clinical brain images are shown using the clinically applied eight-color scale. Five nuclear medicine experts visually assessed phantom and clinical images using a defect severity scale that ranged from zero (no defect) to four (defect). Receiver operating characteristic curves were created and areas under the curves (AUCs) were analyzed. Defect scores for the clinical study were evaluated in the nine segments on basal ganglia slice, and defect scores were summed for each patient. RESULTS: The average defect score for color A significantly differed in multiple comparison tests, but not in post hoc tests. The ranges of AUC for CSDF, GSDF, and γ2.2 were 0.86-0.94, 0.82-0.94, and 0.88-0.97, respectively. The AUCs of CSDF in all color scales did not significantly differ from other gamma settings. The summed defect scores of CSDF were similar to those of other gamma settings. CONCLUSION: Nuclear medicine images were equally valid when adjusted by CSDF even at various gamma settings. Nuclear medicine images can be evaluated equally using any gamma setting. Nonetheless, the color gamma setting for medical monitors should be standardized.

Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.

OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim of this study was to demonstrate the accuracy of all detected regions compared with expert interpretation. METHODS: A total of 109 abnormal regions including 33 regions with stress defects and 76 regions with ischemia were examined, which were derived from 21 patients who underwent myocardial perfusion SPECT within 45 days of coronary angiography. The gray and color scale images, a polar map of stress, rest and difference, and left ventricular function were displayed on the monitor to score the extent and severity of stress defect and ischemia. Two experienced nuclear medicine physicians (Observers A and B) scored the abnormality with a 4-point scale and draw abnormal regions on a polar map. The gold standard was determined by the final judgment of normal or abnormal by the consensus of two other independent expert nuclear cardiologists, and was compared with the stress defect and ischemia derived from ANN. RESULTS: The concordance rate of ANN to the gold standard was higher than that of two observers. Furthermore, the κ coefficient indicated moderate to substantial agreement for stress defect and slight to the fair agreement for ischemia. The area under the curve (AUC) of ANN was the highest for both stress defect and ischemia; in particular, the ANN of ischemia showed significantly higher AUC than Observer A (p = 0.005). The ANN of stress defect showed higher specificity compared with two observers, while the ANN of ischemia showed higher sensitivity. Consequently, the accuracy of ANN showed the highest in this study. CONCLUSION: The ANN-based regional diagnosis showed a high concordance rate with the gold standard and comparable or even higher than the interpretation by nuclear medicine physicians.

Characteristics of iodine-123 IQ-SPECT/CT imaging compared with conventional SPECT/CT.

OBJECTIVES: Although the utility of IQ-SPECT imaging using 99mTc and 201Tl myocardial perfusion SPECT has been reported, 123I-labeled myocardial SPECT has not been fully evaluated. We determined the characteristics and utility of 123I IQ-SPECT imaging compared with conventional SPECT (C-SPECT). METHODS: Two myocardial phantom patterns were used to simulate normal myocardium and myocardial infarction. SPECT acquisition was performed using a hybrid dual-head SPECT/CT system equipped with a SMARTZOOM collimator for IQ-SPECT or a low-medium energy general purpose collimator for C-SPECT. Projection data were reconstructed using ordered subset expectation maximization with depth-dependent 3-dimensional resolution recovery for C-SPECT and ordered subset conjugate gradient minimizer method for IQ-SPECT. Three types of myocardial image were created; namely, no correction (NC), with attenuation correction (AC), and with both attenuation and scatter corrections (ACSC). Five observers visually scored the homogeneity of normal myocardium and defect severity of the myocardium with inferior defects by a five-point scale: homogeneity scores (5 = homogeneous to 1 = inhomogeneous) and defect scores (5 = excellent to 1 = poor). We also created a 17-segment polar map and quantitatively assessed segmental %uptake using a myocardial phantom with normal findings and defects. RESULTS: The average visual homogeneity scores of the IQ-SPECT with NC and ACSC were significantly higher than that of C-SPECT, whereas the average visual defect scores of IQ-SPECT with AC and ACSC were significantly lower. The %uptake of all segments for IQ-SPECT with NC was significantly higher than that of C-SPECT. Furthermore, the subtraction of %uptake for C-SPECT and IQ-SPECT was the largest in inferior wall, which was approximately 10.1%, 14.7% and 14.4% for NC, AC and ACSC, respectively. The median % uptake values of the inferior wall with defect areas for C-SPECT and IQ-SPECT were 46.9% and 50.7% with NC, 59.8% and 69.2% with AC, and 54.7% and 66.5% with ACSC, respectively. CONCLUSION: 123I IQ-SPECT imaging significantly improved the attenuation artifact compared with C-SPECT imaging. Although the defect detectability of IQ-SPECT was inferior to that of C-SPECT, 123I IQ-SPECT images with NC and ACSC met the criteria for defect detectability. Use of 123I IQ-SPECT is suitable for routine examinations.

Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT.

BACKGROUND: Detecting culprit coronary arteries in patients with ischemia using only myocardial perfusion single-photon emission computed tomography (SPECT) can be challenging. This study aimed to improve the detection of culprit regions using an artificial neural network (ANN) to analyze hybrid images of coronary computed tomography angiography (CCTA) and myocardial perfusion SPECT. METHODS: This study enrolled 59 patients with stable coronary artery disease (CAD) who had been assessed by coronary angiography within 60 days of myocardial perfusion SPECT. Two nuclear medicine physicians interpreted the myocardial perfusion SPECT and hybrid images with four grades of confidence, then drew regions on polar maps to identify culprit coronary arteries. The gold standard was determined by the consensus of two other nuclear cardiology specialist based on coronary angiography findings and clinical information. The ability to detect culprit coronary arteries was compared among experienced nuclear cardiologists and the ANN. Receiver operating characteristics (ROC) curves were analyzed and areas under the ROC curves (AUC) were determined. RESULTS: Using hybrid images, observer A detected CAD in the right (RCA), left anterior descending (LAD), and left circumflex (LCX) coronary arteries with 83.6%, 89.3%, and 94.4% accuracy, respectively and observer B did so with 72.9%, 84.2%, and 89.3%, respectively. The ANN was 79.1%, 89.8%, and 89.3% accurate for each coronary artery. Diagnostic accuracy was comparable between the ANN and experienced nuclear medicine physicians. The AUC was significantly improved using hybrid images in the RCA region (observer A: from 0.715 to 0.835, p = 0.0031; observer B: from 0.771 to 0.843, p = 0.042). To detect culprit coronary arteries in perfusion defects of the inferior wall without using hybrid images was problematic because the perfused areas of the LCX and RCA varied among individuals. CONCLUSIONS: Hybrid images of CCTA and myocardial perfusion SPECT are useful for detecting culprit coronary arteries. Diagnoses using artificial intelligence are comparable to that by nuclear medicine physicians.

Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.

PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0. METHODS: We examined 106 patients (age, 77 ± 10 years) with coronary angiographic findings, comprising multi-vessel disease (≥ 50% stenosis) (52%) or old myocardial infarction (27%), or who had undergone coronary revascularization (30%). The ANN versions 1.0 and 1.1 were trained in Sweden (n = 1051) and Japan (n = 1001), respectively, using 99mTc-methoxyisobutylisonitrile myocardial perfusion images. The ANN probabilities (from 0.0 to 1.0) of stress defects and ischemia were calculated in candidate regions of abnormalities. The diagnostic accuracy was compared using receiver-operating characteristics (ROC) analysis and the calculated area under the ROC curve (AUC) using expert interpretation as the gold standard. RESULTS: Although the AUC for stress defects was 0.95 and 0.93 (p = 0.27) for versions 1.1 and 1.0, respectively, that for detecting ischemia was significantly improved in version 1.1 (p = 0.0055): AUC 0.96 for version 1.1 (sensitivity 87%, specificity 96%) vs. 0.89 for version 1.0 (sensitivity 78%, specificity 97%). The improvement in the AUC shown by version 1.1 was also significant for patients with neither coronary revascularization nor old myocardial infarction (p = 0.0093): AUC = 0.98 for version 1.1 (sensitivity 88%, specificity 100%) and 0.88 for version 1.0 (sensitivity 76%, specificity 100%). Intermediate ANN probability between 0.1 and 0.7 was more often calculated by version 1.1 compared with version 1.0, which contributed to the improved diagnostic accuracy. The diagnostic accuracy of the new version was also improved in patients with either single-vessel disease or no stenosis (n = 47; AUC, 0.81 vs. 0.66 vs. p = 0.0060) when coronary stenosis was used as a gold standard. CONCLUSION: The diagnostic ability of the ANN version 1.1 was improved by retraining using the Japanese database, particularly for identifying ischemia.

Prognostic value of normal stress myocardial perfusion imaging and ventricular function in Japanese patients with chronic kidney disease: a study based on the J-ACCESS-3 database.

BACKGROUND: The purpose of this study is to test the hypothesis that a normal myocardial perfusion imaging (MPI) study in chronic kidney disease (CKD) can provide benign prognostic information for the prediction of major cardiovascular events. METHODS: The study group consisted of 431 CKD patients (males, 64%; mean age, 72 ± 11 years) with normal SPECT imaging. Based on SPECT image and QGS data, 331 had a summed stress score of 3 or less, a summed difference score of 1 or less and normal cardiac function (males; end-systolic volume (ESV) ≤ 60 ml, females; ESV ≤ 40 ml, males, ejection fraction (EF) ≥ 49%; females, EF ≥ 50%). RESULTS: During a 3-year follow-up period, there were a total of 27 major cardiovascular events, including cardiac death (n = 3), sudden death (n = 3), and acute coronary syndrome (n = 3), and 19 were hospitalized because of congestive heart failure. Kaplan-Meier analysis showed that the number of major cardiovascular events in patients with higher eGFR of ≥ 15 ml/min) were very few, and regarded as low risk. According to the eGFR status, namely < 15 (n = 58), 15 to < 30 (n = 97), 30 to < 45 (n = 131), ≥ 45 (n = 45), the higher cardiac event rate was observed in patients with eGFR of < 15 ml/min among the four groups. The major cardiovascular event rate in patients with the lowest eGFR (< 15) was twice as much than that in patients with eGFR of ≥ 30 ml/min. Lower hemoglobin (males, < 12 g/dl; females, < 11 g/dl) and higher CRP (CPR ≥ 0.3 mg/dl) were also the predictors of increased risk. CONCLUSIONS: Normal stress SPECT images confer a benign prognosis in patients with CKD, but care must be taken for severely reduced renal function, which was associated with higher cardiac event.

Validation of 2-year 123I-meta-iodobenzylguanidine-based cardiac mortality risk model in chronic heart failure.

Aims: The aim of this study was to validate a four-parameter risk model including 123I-meta-iodobenzylguanidine (MIBG) imaging, which was previously developed for predicting cardiac mortality, in a new cohort of patients with chronic heart failure (CHF). Methods and results: Clinical and outcome data were retrospectively obtained from 546 patients (age 66 ± 14 years) who had undergone 123I-MIBG imaging with a heart-to-mediastinum ratio (HMR). The mean follow-up time was 30 ± 20 months, and the endpoint was cardiac death. The mortality outcome predicted by the model was compared with actual 2-year event rates in pre-specified risk categories of three or four risk groups using Kaplan-Meier survival analysis for cardiac death and receiver-operating characteristic (ROC) analysis. Cardiac death occurred in 137 patients, including 105 (68%) patients due to heart-failure death. With a 2-year mortality risk from the model divided into three categories of low- (<4%), intermediate- (4-12%), and high-risk (>12%), 2-year cardiac mortality was 1.1%, 7.9%, and 54.7%, respectively in the validation population (P < 0.0001). In a quartile analysis, although the predicted numbers of cardiac death was comparable with actual number of cardiac death for low- to intermediate-risk groups with a mortality risk <13.8%, it was underestimated in the high-risk group with a mortality risk ≥13.8%. The ROC analysis showed that the 2-year risk model had better (P < 0.0001) diagnostic ability for predicting heart failure death than left ventricular ejection fraction, natriuretic peptides or HMR alone. Conclusion: The 2-year risk model was successfully validated particularly in CHF patients at a low to intermediate cardiac mortality risk.

Is 123I-metaiodobenzylguanidine heart-to-mediastinum ratio dependent on age? From Japanese Society of Nuclear Medicine normal database.

BACKGROUND: Heart-to-mediastinum ratios (HMRs) of 123I-metaiodobenzylguanidine (MIBG) have usually been applied to prognostic evaluations of heart failure and Lewy body disease. However, whether these ratios depend on patient age has not yet been clarified using normal databases. METHODS: We analyzed 62 patients (average age 57 ± 19 years, male 45%) derived from a normal database of the Japanese Society of Nuclear Medicine working group. The HMR was calculated from early (15 min) and delayed (3-4 h) anterior planar 123I-MIBG images. All HMRs were standardized to medium-energy general purpose (MEGP) collimator equivalent conditions using conversion coefficients for the collimator types. Washout rates (WR) were also calculated, and we analyzed whether early and late HMR, and WR are associated with age. RESULTS: Before standardization of HMR to MEGP collimator conditions, HMR and age did not significantly correlate. However, late HMR significantly correlated with age after standardization: late HMR = - 0.0071 × age + 3.69 (r2 = 0.078, p = 0.028), indicating that a 14-year increase in age corresponded to a decrease in HMR of 0.1. Whereas the lower limit (2.5% quantile) of late HMR was 2.3 for all patients, it was 2.5 and 2.0 for those aged ≤ 63 and > 63 years, respectively. Early HMR tended to be lower in subjects with the higher age (p = 0.076), whereas WR was not affected by age. CONCLUSION: While late HMR was slightly decreased in elderly patients, the lower limit of 2.2-2.3 can still be used to determine both early and late HMR.

Ability of the prognostic model of J-ACCESS study to predict cardiac events in a clinical setting: The APPROACH study.

BACKGROUND: In patients with coronary artery disease (CAD), one of the risk models available in Japan was a multivariate risk prediction model based on a Japanese multicenter database: the Japanese Assessment of Cardiac Events and Survival Study by Quantitative Gated SPECT (J-ACCESS). The aim of this study was to clinically validate the accuracy of this risk model. METHODS: We evaluated the performance of the J-ACCESS model using data derived from the Assessment of the Predicted value of PROgnosis of cArdiaC events in Hokuriku (APPROACH) registry. Variables of age, summed stress score (SSS), left ventricular ejection fraction (LVEF), estimated glomerular filtration rate (eGFR), and diabetes mellitus were included. The major cardiac events were defined as cardiac death, non-fatal myocardial infarction, and heart failure that required hospitalization. The patients were followed up for three years to compare between predicted risk and actual events. RESULTS: We evaluated 283 patients with suspected or confirmed CAD receiving myocardial perfusion imaging using 99mTc-tetrofosmin between March 2009 and August 2011. Mean age was 68.9±10.1 years, mean eGFR 67.4±24.3mL/min/1.73m2, mean SSS 5.2±7.2, and mean LVEF 65.4±14.0%. Fourteen (4.9%) patients experienced major cardiac events including cardiac death in 4 patients (1.4%), non-fatal myocardial infarction in 1 patient (0.3%), and severe heart failure in 9 patients (3.2%), respectively. While SSS≥8, LVEF<50%, eGFR<45mL/min/1.73m2, and event risk≥10% were significant variables in survival analysis, multivariate proportional hazard analysis showed that only LVEF and eGFR were significant. The event rate estimated from the J-ACCESS model was comparable to the actual number of major cardiac events (9 and 6, respectively, p=0.58 by Chi-square test). CONCLUSIONS: The predictive ability of the J-ACCESS risk model is clinically valid among patients with CAD and could be applicable in clinical practice.

Creation and characterization of normal myocardial perfusion imaging databases using the IQ·SPECT system.

BACKGROUND: Image acquisition by short-time single-photon emission-computed tomography (SPECT) has been made feasible by IQ·SPECT. The aim of this study was to generate normal databases (NDBs) of thallium-201 (201Tl) myocardial perfusion imaging for IQ·SPECT, and characterize myocardial perfusion distribution. METHODS AND RESULTS: We retrospectively enrolled 159 patients with a low likelihood of cardiac diseases from four hospitals in Japan. All patients underwent short-time 201Tl myocardial perfusion IQ·SPECT with or without attenuation and scatter correction (ACSC) in either supine or prone position. The mean myocardial counts were calculated using 17-segment polar maps. Three NDBs were derived from supine and prone images as well as supine images with ACSC. Differences between the supine and prone positions were observed in the uncorrected sex-segregated NDBs in the mid-inferolateral counts (p ≤ 0.016 for males and p ≤ 0.002 for females). Differences between IQ·SPECT and conventional SPECT were also observed in the mid-anterior, inferolateral, and apical lateral counts (p ≤ 0.009 for males and p ≤ 0.003 for females). Apical low counts attributed to myocardial thinning were observed in the apical anterior and apex segments in the supine IQ·SPECT NDB with ACSC. CONCLUSIONS: There were significant differences between uncorrected supine and prone NDBs, between uncorrected supine NDB and supine NDB with ACSC, and between uncorrected supine NDB and conventional SPECT NDB. Understanding the pattern of normal distribution in IQ-SPECT short-time acquisitions with and without ACSC will be helpful for interpretation of imaging findings in patients with coronary artery disease (CAD) or low likelihood of CAD and the NDBs will aid in quantitative analysis.

IQ·SPECT technology and its clinical applications using multicenter normal databases.

IQ·SPECT (Siemens Medical Solutions) is a solution for high-sensitivity and short-time acquisition imaging of the heart for a variable angle general purpose gamma camera. It consists of a multi-focal collimator, a cardio-centric orbit and advanced iterative reconstruction, modeling the image formation physics accurately. The multi-focal collimator enables distance-dependent enlargement of the center region while avoiding truncation at the edges. With the specified configuration and a cardio-centric orbit it can obtain a fourfold sensitivity increase for the heart at the center of the scan orbit. Since IQ·SPECT shows characteristic distribution patterns in the myocardium, appropriate acquisition and processing conditions are required, and normal databases are convenient for quantification of both normal and abnormal perfusion images. The use of prone imaging can be a good option when X-ray computed tomography (CT) is not available for attenuation correction. CT-based attenuation correction changes count distribution significantly in the inferior wall and around the apex, hence image interpretation training and additional use of normal databases are recommended. Recent reports regarding its technology, Japanese Society of Nuclear Medicine working group activities, and clinical studies using 201Tl and 99mTc-perfusion tracers in Japan are summarized.

Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable. METHODS: The ANN was trained to classify potentially abnormal areas as true or false based on the nuclear cardiology expert interpretation of 1001 gated stress/rest 99mTc-MIBI images at 12 hospitals. The diagnostic accuracy of the ANN was compared with 364 expert interpretations that served as the gold standard of abnormality for the validation study. Conventional summed stress/rest/difference scores (SSS/SRS/SDS) were calculated and compared with receiver operating characteristics (ROC) analysis. RESULTS: The ANN generated a better area under the ROC curves (AUC) than SSS (0.92 vs. 0.82, p < 0.0001), indicating better identification of stress defects. The ANN also generated a better AUC than SDS (0.90 vs. 0.75, p < 0.0001) for stress-induced ischemia. The AUC for patients with old myocardial infarction based on rest defects was 0.97 (0.91 for SRS, p = 0.0061), and that for patients with and without a history of revascularization based on stress defects was 0.94 and 0.90 (p = 0.0055 and p < 0.0001 vs. SSS, respectively). The SSS/SRS/SDS steeply increased when ANN values (probability of abnormality) were >0.80. CONCLUSION: The ANN was diagnostically accurate in various clinical settings, including that of patients with previous myocardial infarction and coronary revascularization. The ANN could help to diagnose coronary artery disease.

Validation of Left Ventricular Ejection Fraction with the IQ•SPECT System in Small-Heart Patients.

The IQ•SPECT system, which is equipped with multifocal collimators (SMARTZOOM) and uses ordered-subset conjugate gradient minimization as the reconstruction algorithm, reduces the acquisition time of myocardial perfusion imaging compared with conventional SPECT systems equipped with low-energy high-resolution collimators. We compared the IQ•SPECT system with a conventional SPECT system for estimating left ventricular ejection fraction (LVEF) in patients with a small heart (end-systolic volume < 20 mL). Methods: The study consisted of 98 consecutive patients who underwent a 1-d stress-rest myocardial perfusion imaging study with a 99mTc-labeled agent for preoperative risk assessment. Data were reconstructed using filtered backprojection for conventional SPECT and ordered-subset conjugate gradient minimization for IQ•SPECT. End-systolic volume, end-diastolic volume, and LVEF were calculated using quantitative gated SPECT (QGS) and cardioREPO software. We compared the LVEF from gated myocardial perfusion SPECT to that from echocardiographic measurements. Results: End-diastolic volume, end-systolic volume, and LVEF as obtained from conventional SPECT, IQ•SPECT, and echocardiography showed a good to excellent correlation regardless of whether they were calculated using QGS or using cardioREPO. Although LVEF calculated using QGS significantly differed between conventional SPECT and IQ•SPECT (65.4% ± 13.8% vs. 68.4% ± 15.2%) (P = 0.0002), LVEF calculated using cardioREPO did not (69.5% ± 10.6% vs. 69.5% ± 11.0%). Likewise, although LVEF calculated using QGS significantly differed between conventional SPECT and IQ•SPECT (75.0 ± 9.6 vs. 79.5 ± 8.3) (P = 0.0005), LVEF calculated using cardioREPO did not (72.3% ± 9.0% vs. 74.3% ± 8.3%). Conclusion: In small-heart patients, the difference in LVEF between IQ•SPECT and conventional SPECT was less when calculated using cardioREPO than when calculated using QGS.

Characteristics of single- and dual-photopeak energy window acquisitions with thallium-201 IQ-SPECT/CT system.

OBJECTIVES: Although dual-energy (DE) acquisition with conventional 201Tl myocardial perfusion SPECT has several advantages such as improved attenuation of the inferior wall and increased acquisition counts, the characteristics of IQ-SPECT have not been fully evaluated. We evaluate the difference of characteristics between single-energy (SE) and dual-energy (DE) imaging using 201Tl myocardial IQ-SPECT. METHODS: Two myocardial phantoms were created simulating normal myocardium and infarction of the inferior wall. Energy windows were set at 70 keV ± 10% for SE, and an additional 167 keV ± 7.5% for DE. SPECT images were reconstructed using the ordered subset conjugates gradient minimizer (OSCGM) method. We visually and quantitatively compared short-axis images of correction for no (NC), for attenuation (AC) or for both AC and scatter (ACSC) images. RESULTS: The average counts of SE and DE projection data were 17.5 and 20.3 counts/pixel, respectively. The DE data increased acquisition counts by approximately 16% compared with the SE data. The average visual score of normal myocardium did not differ significantly between the SE and DE images. However, the DE image of defective myocardium showed a significantly lower score in AC than SE images. The % uptake values of DE image with both NC and AC were significantly higher than those of SE images. The DE images of the inferior defective areas (segments 4 and 10) showed approximately 5-10% higher uptake compared with the SE images. CONCLUSION: The DE image with NC improved attenuation of the inferior wall. However, DE image with AC showed low defect detectability. Thus, AC should be used with SE rather than DE. Furthermore, while the SE image with ACSC can be used to detect perfusion defects, it must be interpreted carefully including the possibility of artificial inhomogeneity even in the normal myocardium.