Single Photon Emission Computed Tomography Research Articles

Fe/Cu Bimetallic Nanozyme Co-Assembled with 177Lu and Tanshinone for Quadruple-Synergistic Tumor-Specific Therapy.

The co-loading of radionuclides and small-molecule chemotherapeutic drugs as nanotheranostic platforms using nanozymes holds tremendous potential for imaging-guided synergistic therapy. This study presents such nanotheranostic platform (177Lu-MFeCu@Tan) via co-assembling 177Lu radionuclide and tanshinone (Tan) into Fe/Cu dual-metal nanozyme (MFeCu). This platform simultaneously enables single-photon emission computed tomography (SPECT) imaging and a quadruple-synergistic tumor therapy approach, including internal radioisotope therapy (RIT), catalysis therapy, chemotherapy, and MFeCu-mediated ferroptosis and cuproptosis therapy. In this platform, the MFeCu can catalyze excessive intracellular hydrogen peroxide (H2O2) to generate radical oxygen species (ROS) and deplete glutathione (GSH). The excess of H2O2 and GSH are main factors for radioresistance and chemoresistance, reducing them can enhance chemotherapy and RIT. The generated ROS and depleted GSH further induce mitochondrial dysfunction and promote the aggregation of lipoylated dihydrolipoamide S-acetyltransferase and lipid peroxidation, causing the enhance of ferroptosis and cuproptosis. The in vitro and in vivo results demonstrate that this quadruple-synergistic approach shows significant therapeutic efficacy to complete tumor eradication and reduced recurrence in vivo. In conclusion, this work presents a promising strategy for designing SPECT imaging-guided quadruple-synergistic therapy and highlights the feasibility of developing a self-assembled radionuclide and small molecule chemotherapy drugs nanotherapeutic platform for combined treatment of cancer.

99mTc]-PentixaTec SPECT/CT for Imaging of Chemokine Receptor 4 Expression After Myocardial Infarction.

Accumulation of CXCR4 (C-X-C motif chemokine receptor 4)-positive immune cells after acute myocardial infarction (AMI) can be visualized by positron emission tomography. For a broader clinical application, there is a need for CXCR4-directed radiotracers labeled with isotopes that can be used with single-photon emission computed tomography (SPECT). We report on the detection of CXCR4 expression after AMI in humans using the novel tracer [99mTc]-PentixaTec. In this retrospective analysis, 9 patients with AMI after mechanical revascularization underwent myocardial inflammation imaging with [99mTc]-PentixaTec SPECT/computed tomography and rest perfusion SPECT imaging. Tracer uptake in the infarcted area, spleen, bone marrow, and blood pool were used for semiquantitative analysis and calculation of signal-to-background ratios. The extent and intensity of SPECT-derived inflammatory changes were compared with serological markers and perfusion defects. CXCR4-directed SPECT was positive in all patients. Increased CXCR4 expression was only detected in areas with diminished perfusion corresponding to the affected vessel in coronary angiography, with a signal-to-background ratio (infarcted area-to-blood pool) of 2.36±0.74. Uptake in bone marrow and spleen showed a significant correlation with CXCR4 expression in the infarcted areas (r=0.73 and P=0.03 for spleen and r=0.81 and P=0.008 for bone marrow, respectively). The extent and intensity of SPECT-derived inflammatory changes showed no significant association with serum troponin, CK (creatine kinase), leukocyte, or CRP (C-reactive protein) levels. This is the first report of in vivo CXCR4 imaging after AMI using a 99mTc-labeled tracer. Increased CXCR4 expression was observed locally in the infarcted region and was related to a systemic inflammatory response in the reticuloendothelial system. This proof-of-concept investigation demonstrates the general feasibility of evaluating the inflammation-related CXCR4 expression in the myocardium after AMI using conventional scintigraphy or SPECT and might, thus, broaden its worldwide application in clinical practice.

Trop2-Targeted Molecular Imaging in Solid Tumors: Current Advances and Future Outlook.

Trophoblast cell surface antigen 2 (Trop2), a transmembrane glycoprotein, plays a dual role in physiological and pathological processes. In healthy tissues, Trop2 facilitates development and orchestrates intracellular calcium signaling. However, its overexpression in numerous solid tumors shifts its function toward driving cell proliferation and metastasis, thus leading to a poor prognosis. The clinical relevance of Trop2 is underscored by its utility as both a biomarker for diagnostic imaging and a target for therapy. Notably, the U.S. Food and Drug Administration (FDA) has approved sacituzumab govitecan (SG), a novel Trop2-targeted agent, for treating triple-negative breast cancer (TNBC) and refractory urothelial cancer, highlighting the significance of Trop2 in clinical oncology. Molecular imaging, a powerful tool for visualizing and quantifying biological phenomena at the molecular and cellular levels, has emerged as a critical technique for studying Trop2. This approach encompasses various modalities, including optical imaging, positron emission tomography (PET), single photon emission computed tomography (SPECT), and targeted antibodies labeled with radioactive isotopes. Incorporating Trop2-targeted molecular imaging into clinical practice is vital for the early detection, prognostic assessment, and treatment planning of a broad spectrum of solid tumors. Our review captures the latest progress in Trop2-targeted molecular imaging, focusing on both diagnostic and therapeutic applications across diverse tumor types, including lung, breast, gastric, pancreatic, prostate, and cervical cancers, as well as salivary gland carcinomas. We critically evaluate the current state by examining the relevant applications, diagnostic accuracy, therapeutic efficacy, and inherent limitations. Finally, we analyze the challenges impeding widespread clinical application and offer insights into strategies for advancing the field, thereby guiding future research endeavors.

Thai Guideline for Nuclear Medicine Investigations of Neurocognitive Disorders: Nuclear Medicine Society of Thailand, the Neurological Society of Thailand, and Thai Medical Physicist Society Collaboration

Nuclear medicine investigations play a significant role in diagnosing dementia, mainly using imaging techniques such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT). By providing functional and molecular data via brain imaging, nuclear medicine investigations offer valuable insights that complement clinical evaluations and structural imaging in the early detection, diagnosis, and differentiation of various types of dementia, leading to more accurate diagnosis and personalized treatment planning. Therefore, the Nuclear Medicine Society of Thailand, the Neurological Society of Thailand, and the Thai Medical Physicist Society have collaborated to establish these practical nuclear medicine investigation guidelines aiming to (1) identify the role of nuclear medicine studies in patients with neurocognitive disorders; (2) assist referrers in requesting the most appropriate procedure for diagnosis of each type of neurocognitive disorders; and (3) identify scientific evidence that is useful to assisting nuclear medicine professionals in recommending, performing, interpreting, and reporting the results of nuclear medicine investigations in patients with neurocognitive disorders.

Visualization of “Subclinical Consequence” After Successful and Uneventful Surgical Intervention for Unruptured Cerebral Aneurysms

There are many studies on post-operative cognitive function after surgical clipping (SC) and endovascular coiling (EC) for unruptured cerebral aneurysms, but few reports focusing on possible subclinical damage. The aim of the present study was to detect the subclinical damage after surgical intervention. Patients with anterior circulation aneurysms who underwent either SC (SC group) or EC (EC group) were recruited. Imaging studies and evaluation of cognitive function were performed within 1 month preoperatively and at 6 months and 2 years postoperatively. The ipsilateral/contralateral cerebral blood flow (CBF) ratio (I/C ratio) calculated from values in four regions of interest (ROIs) placed on N-isopropyl-p-[123I] iodoamphetamine (123I-IMP)-single photon emission computed tomography (SPECT) was used to detect "subclinical consequence". "Subclinical consequence" was defined as post-operative CBF reduction without abnormality in other radiological examinations and cognitive tests. There were 14 patients in the SC group (mean age, 60.6±11.7 years) and 33 patients in the EC group (mean age, 67.5±7.2 years). All cognitive assessment results showed no significant reduction through the survey period. However, I/C ratios were restored by 2 years in the EC group not but in the SC group. I/C ratios at 6 months and 2 years were significantly lower in the SC group than the EC group (P<0.01). 123IMP-SPECT revealed a statistically significant reduction in ipsilateral CBF in patients who had an uneventful clinical course and no cognitive problems. The subclinical consequence could persist for at least 2 years following SC, and was less pronounced following EC.

Advances in molecular imaging of kidney diseases.

Background Diagnosing and monitoring kidney diseases traditionally rely on blood and urine analyses and invasive procedures such as kidney biopsies, the latter offering limited possibilities for longitudinal monitoring and a comprehensive understanding of disease dynamics. Current non-invasive methods lack specificity in capturing intrarenal molecular processes, hindering patient stratification and patient monitoring in clinical practice and clinical trials. Summary Molecular imaging enables non-invasive and quantitative assessment of physiological and pathological molecular processes. By using specific molecular probes and imaging technologies, e.g., magnetic resonance imaging (MRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), or ultrasound (US), molecular imaging allows the detection and longitudinal monitoring of disease activity with spatial and temporal resolution of different kidney diseases and disease-specific pathways. Several approaches have already shown promising results in kidneys and exploratory clinical studies, and validation is needed before implementation in clinical practice. Key messages Molecular imaging offers a non-invasive assessment of intrarenal molecular processes, overcoming the limitations of current diagnostic methods. It has the potential to serve as companion diagnostics, not only in clinical trials, aiding in patient stratification and treatment response assessment. By guiding therapeutic interventions, molecular imaging might contribute to the development of targeted therapies for kidney diseases.

Emerging Role of Prefrontal Lobe Involving Visual Function in a Case with Whiplash-Associated Disorders

Whiplash, often resulting from vehicle accidents, can cause bony or soft tissue injuries leading to clinical symptoms related to the cervical spine or brain. However, diagnosing whiplash objectively is challenging, as acute phase abnormalities in the cervical spine or brain are difficult to detect through anatomic/ structural imaging. We present a case of a 54-year-old woman suffering from Whiplash-Associated Disorder (WAD) without abnormal structural abnormalities. Using brain perfusion single-photon emission computed tomography (SPECT) to measure regional cerebral blood flow, hypoperfusion was observed in the bilateral prefrontal regions and parietal/occipital lobes, which was associated with her visual impairment. We support the nociceptive-vascular hypothesis and propose an additional role for the prefrontal lobe in contributing to WAD in patients following whiplash injury. Further investigation is needed to monitor the effects of brain perfusion after treatment using SPECT.

Diagnostic accuracy of imaging modalities for detection of spinal metastases: a systematic review and meta-analysis.

Detecting spinal metastases is highly relevant in patients with oncological disorders as it can affect the staging and treatment of their disease. We aimed to evaluate the diagnostic performance of computed tomography (CT), magnetic resonance imaging (MRI), FDG positron emission tomography (PET)/CT, bone scintigraphy (BS), and single-photon emission computed tomography (SPECT) for spinal metastases detection. Medline, EMBASE, and Web of Science were systematically searched until March 2024 for diagnostic accuracy studies on spinal metastases detection (PROSPERO-registration: CRD42024540139). Data extraction and quality assessment using the QUADAS-2 tool were performed by two independent reviewers. Using bivariate random effects modeling, pooled sensitivities, specificities, and diagnostic odds ratios (DOR) were calculated, and hierarchical summary operating curves were constructed. Twenty-five studies (49 datasets), encompassing 3102 patients were included. Per-patient pooled sensitivities of CT, MRI, PET/CT, BS and SPECT were 70%, 93%, 82%, 75%, and 84%, respectively. Pooled specificities were 74%, 85%, 75%, 92%, and 81%, respectively. Per-lesion pooled sensitivities of CT, MRI, PET/CT, BS and SPECT were 76%, 91%, 92%, 77%, and 92%, respectively. Pooled specificities were 91%, 94%, 85%, 52%, and 86%, respectively. MRI had the highest DOR in per patient and lesion analyses. MRI had highest diagnostic accuracy for spinal metastases detection on patient and lesion level, suggesting a broader use in addition to the routine staging CT, at least in patients at high risk and where the detection of a spinal metastasis could alter therapy decisions. Herein, results should be considered with the limitations of each modality.

Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization.

Coronary artery disease (CAD) has one of the highest mortality rates in humans worldwide. Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) provides clinicians with myocardial metabolic information non-invasively. However, there are some limitations to interpreting SPECT images performed by physicians or automatic quantitative approaches. Radiomics analyzes images objectively by extracting quantitative features and can potentially reveal biological characteristics that the human eye cannot detect. However, the reproducibility and repeatability of some radiomic features can be highly susceptible to segmentation and imaging conditions. We aimed to assess the reproducibility of radiomic features extracted from uncorrected MPI-SPECT images reconstructed with 15 different settings before and after ComBat harmonization, along with evaluating the effectiveness of ComBat in realigning feature distributions. A total of 200 patients (50% normal and 50% abnormal) including rest and stress (without attenuation and scatter corrections) MPI-SPECT images were included. Images were reconstructed using 15 combinations of filter cut-off frequencies, filter orders, filter types, reconstruction algorithms, number of iterations and subsets resulting in 6000 images. Image segmentation was performed on the left ventricle in the first reconstruction for each patient and applied to 14 others. A total of 93 radiomic features were extracted from the segmented area, and ComBat was used to harmonize them. The intraclass correlation coefficient (ICC) and overall concordance correlation coefficient (OCCC) tests were performed before and after ComBat to examine the impact of each parameter on feature robustness and to assess harmonization efficiency. The ANOVA and the Kruskal-Wallis tests were performed to evaluate the effectiveness of ComBat in correcting feature distributions. In addition, the Student's t-test, Wilcoxon rank-sum, and signed-rank tests were implemented to assess the significance level of the impacts made by each parameter of different batches and patient groups (normal vs. abnormal) on radiomic features. Before applying ComBat, the majority of features (ICC: 82, OCCC: 61) achieved high reproducibility (ICC/OCCC ≥ 0.900) under every batch except Reconstruction. The largest and smallest number of poor features (ICC/OCCC<0.500) were obtained by IterationSubset and Order batches, respectively. The most reliable features were from the first-order (FO) and gray-level co-occurrence matrix (GLCM) families. Following harmonization, the minimum number of robust features increased (ICC: 84, OCCC: 78). Applying ComBat showed that Order and Reconstruction were the least and the most responsive batches, respectively. The most robust families, in a descending order, were found to be FO, neighborhood gray-tone difference matrix (NGTDM), GLCM, gray-level run length matrix (GLRLM), gray-level size zone matrix (GLSZM), and gray-level dependence matrix (GLDM) under Cut-off, Filter, and Order batches. The Wilcoxon rank-sum test showed that the number of robust features significantly differed under most batches in the Normal and Abnormal groups. The majority of radiomic features show high levels of robustness across different OSEM reconstruction parameters in uncorrected MPI-SPECT. ComBat is effective in realigning feature distributions and enhancing radiomic features reproducibility.

Advancements in colorectal cancer detection: The role of immuno‐positron emission tomography, immuno‐single‐photon emission computed tomography, and machine learning applications

AbstractColorectal cancer (CRC) ranks as the world's second most prevalent cancer and third in mortality. Detection and diagnosis are crucial in research and clinical settings. While colonoscopy and computed tomographic colonography are widely used for identifying organic lesions, positron emission tomography (PET) and single‐photon emission computed tomography (SPECT) offer superior visualization of molecular changes. These immuno‐PET and immuno‐SPECT techniques surpass conventional [18F] Fluorodeoxyglucose PET/CT in specificity and sensitivity, improving CRC diagnostics and supporting therapeutic strategies. This review emphasizes the role of immuno‐PET/SPECT in CRC diagnosis and establishing a foundation for therapeutic strategies, facilitating hierarchical management through the identification of treatment‐responsive populations, prediction of therapeutic outcomes, and support for intraoperative imaging. This review introduces the preclinical and clinical utility of immunoconjugates for detecting colorectal adenomas, and primary, metastatic, or recurrent CRC, focusing on specific CRC cell targets like the epidermal growth factor receptor and carcinoembryonic antigen. The review also covers various mAb‐based immunoconjugates and engineered mAb fragments, including diabodies and minibodies. Finally, it looks into the great promise of machine learning in PET or SPECT and it addresses the challenges of translating preclinical successes into clinical practice for colorectal adenoma diagnosis, proposing potential solutions and directions for future research.

Feasibility of quantitative evaluation of hemodynamics using SPECT/CT in patients with chronic thromboembolic pulmonary hypertension

Abstract Background A ventilation/perfusion (V/Q) lung scan is recommended in the diagnostic work-up of patients with newly diagnosed pulmonary hypertension to rule out chronic thromboembolic pulmonary hypertension (CTEPH). V/Q single-photon emission computed tomography (SPECT) is considered the method of choice for diagnosis in CTEPH because it allows more precise evaluation than planar imaging. However, the evaluation of lung perfusion using V/Q SPECT imaging remains mainly a qualitative evaluation, and no quantitative method has been established. We hypothesized that the standardized uptake value (SUV) technique in Positron Emission Tomography (PET)-CT, a nuclear imaging technique well suited for quantitative of tumor biology, could be applied to quantitative assessment of lung perfusion. Purpose The purpose of this study was to evaluate the correlation between pulmonary perfusion distribution and hemodynamic data in Tc-labeled large-assembly albumin (99mTc-MAA) SPECT images in order to determine the feasibility of SPECT/CT for quantitative assessment of lung perfusion. Methods Twenty-five patients with CTEPH who underwent BPA and received SPECT-CT were included. Since the injected 99mTc-MAA selectively accumulates only in the lungs, SUV normalization was conducted using each patient’s lung volume, calculated by SPECT/CT and defined as SUV lung volume (LV) . The percentage of lung volume below each SUVLV value in total lung volume on SPECT/CT was examined before BPA, after two procedures of BPA, and six months after a series of BPA, and the correlations with hemodynamic parameters on right heart catheterization at each time point were evaluated. Results The Percent lung volume below SUVLV of 0.7 in total lung volume before BPA, after two procedures of BPA, and six months after a series of BPA had the strongest correlation with mean pulmonary artery pressure (mPAP) (rs; 0.727, p&amp;lt;0.001, Figure 1). The percent lung volume below SUVLV of 0.7 decreased with the BPA procedure in each patient with CTEPH (Figure 2). Furthermore, receiver operating characteristic analysis revealed that a threshold for the percent lung volume below SUVLV of 0.7 of 50.3% or greater could identify mPAP greater than 21 mmHg for right heart catheterization (area under the curve = 0.86, 95% CI 0.78-0.94, p&amp;lt;0.001). Conclusion Percent lung volume below SUVLV of 0.7 in total lung volume using SPECT/CT might reflect the severity of hemodynamics in patients with CTEPH. This method would be feasible for quantitative assessment of lung perfusion, even inter-patient and intra-patient.Figure 1Figure 2

Cardiac sympathetic innervation, assessed with 123I-MIBG SPECT, predicts left ventricular function improvement in patients with newly diagnosed dilated cardiomyopathy

Abstract Introduction Beta-blockers (BB) are commonly prescribed medications for heart failure (HF) due to their ability to counteract the increased sympathetic nervous system (SNS) activity seen in HF, resulting in downregulation and desensitization of β-receptors. In patients with dilated cardiomyopathy (DCM), the introduction of BB therapy can lead to left ventricular ejection fraction (LVEF) improvement in 30-50% of cases. Single-photon emission computed tomography (SPECT) with 123I-meta-iodobenzylguanidine (MIBG) is a useful tool for assessing cardiac SNS activity. Healthy individuals typically exhibit high SPECT-MIBG uptake and low washout rate (WR) due to normal β-receptor levels and low norepinephrine (NE) levels, respectively (Fig 1A). While better SPECT-MIBG results have been associated with LVEF improvement in the general HF population, less data is available for DCM patients. Purpose This study aimed to evaluate the predictive value of MIBG-SPECT for LVEF improvement in newly diagnosed DCM patients. Methods Twenty-one DCM patients (mean age 47 ± 10 years, 90% male, baseline LVEF 29.5 ± 8.7%, left ventricular end-diastolic volume (LVEDV) 114 ± 36 ml/m2) with stable HF symptoms (NYHA class 1.8 ± 0.6) and newly diagnosed DCM underwent baseline MIBG-SPECT and echocardiography. HF therapy was initiated and up-titrated, and echocardiography was repeated at 6 months. Semi-quantitative parameters from MIBG-SPECT, including the MIBG uptake ratio from the heart and mediastinum (H/M) at 15 minutes (-15) and 4 hours (-4), as well as the WR [WR = (H/M-15 - H/M-4) / H/M-15], were evaluated. Patients were stratified based on median WR - 8.79 (IQR 5.17-12.90). Results After 6-months of HF therapy up-titration, 18 patients improved LVEF, and the mean LVEF increase was 7.7 ± 10.4%. Although, patients with WR &amp;gt; median did not differ in terms of baseline LVEF (30.2 ± 7.0 vs. 27.7 ± 9.6, p=0.52), they had worse LVEF at 6 months (32.0 ± 11.0 vs. 40.6 ± 9.2%, p=0.04). Moreover, WR at baseline strongly correlated with 6-month LVEF (R=-0.51, p=0.01) and was a significant predictor of 6-month LVEF (β=-0.55 ± 0.19, p=0.009). Moreover, WR could successfully predict LVEF improvement ≥ 10% (OR 1.27 [95%CI 1.01-1.61], p=0.03; AUC 0.82 [95%CI 0.63-0.99], p&amp;lt;0.001) with a cut-off point of 8.0 (sensitivity 88%, specificity 77%) (Fig 1B). Conclusion Most DCM patients demonstrated LVEF improvement during 6 months of HF therapy up-titration. Baseline WR from MIBG-SPECT was found to be a reliable predictor of significant LVEF improvement in this patient population.Fig1.A-SPECT-MIBG results. B-ROC curve.

Impact of a new coronavirus infection on the level of inflammatory, haemostasis markers and microcirculatory parameters of patients with arterial hypertension

Relevance. The COVID-19 pandemic and its consequences have significantly affected the health of the population as a whole. Persons who have undergone coronavirus infection against the background of chronic cardiovascular diseases and obesity deserve special attention. Aim. To study and compare the main indicators of carbohydrate and lipid metabolism the level of inflammatory and haemostasis markers, microvascular changes in obesity AH patients and in AH patients with normal body weight 1 month after a new coronavirus infection in moderate to severe form. Materials and methods. The study included 87 patients of both sexes, aged from 18 to 55 years, from which three groups were formed: the first group included people with AH and normal body weight (BMI&lt;25 kg/m²) who had undergone COVID-19 within a month, the second group included people with AH and obesity (BMI≥30 kg/m²) who had undergone COVID-19 within a month, the control group consisted of 20 people with AH and obesity without COVID-19. The parameters of height, weight, waist circumference, and BMI were assessed in all subjects. The parameters of lipid profile, glucose level were determined, inflammatory markers and haemostasis parameters. All participants underwent laser Doppler flowmetry (LDF) on the forearm with constrictor and dilator functional tests, and single-photon emission computed tomography (SPECT) in combination with x-ray computed tomography (SPECT/CT). Results. Patients of groups 1 and 2 naturally differed from each other in anthropometric indicators. Lipid and carbohydrate metabolism rates were also significantly higher in group 2 patients compared to group 1 patients (p &lt; 0.05). The CRP level in the group of people with hypertension and obesity who underwent COVID-19 was significantly higher than in people with hypertension without obesity (p &lt; 0.001) and than in people with hypertension and obesity without a history of COVID-19. When comparing microcirculation parameters by LDF, there was a decrease in tissue hemoperfusion (M), blood flow reserve (RK) in all three groups (p &lt; 0.001), the most pronounced dysfunction of neurogenic and myogenic blood flow regulation was detected in the group of people with hypertension andobesity who underwent COVID-19. Conclusion. The study of microcirculation indicators by LDF method in persons with hypertension and obesity after suffering a coronavirus infection indicates the predominance of the spastic type of microcirculation, which, together with an increase in the levels of inflammatory markers, indicates a higher risk of thrombosis and cardiovascular complications, requiring more careful monitoring and treatment of this group of patients.

Impact of CT attenuation correction on viable myocardium detection in combined SPECT and PET/CT: A retrospective cohort study.

The influence of computed tomography attenuation correction (CTAC) on the accuracy of diagnosing viable myocardium using Tc-99m-MIBI dedicated cardiac cadmium-zinc-telluride (CZT) single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) combined with F-18-FDG Positron Emission Tomography/Computed Tomography (PET/CT) metabolic imaging, compared with conventional SPECT MPI, remains to be fully elucidated. To evaluate the impact of CTAC on the accuracy of diagnosing viable myocardium using Tc-99m-MIBI dedicated cardiac CZT SPECT MPI combined with F-18-FDG PET/CT, compared to conventional SPECT MPI. 193 patients underwent CZT SPECT and F-18-FDG PET/CT imaging, while 39 patients underwent conventional SPECT and F-18-FDG PET/CT imaging, with both groups utilizing CT for attenuation correction. The injured myocardium (hibernating and scarring) was quantified using the Q.PET software. After CTAC, both groups showed significant improvements in perfusion of the injured myocardial areas, particularly in the inferior wall (INF). The reduction in perfusion was more notable in the CZT SPECT group than that in the conventional group, particularly in the inferior and lateral walls. Among patients with large cardiac chambers, those undergoing MPI with CZT, with normal weights, or males, hibernating myocardium (HM) and scar post-CTAC reductions were particularly significant in the INF. If HM ≥ 10% is considered an indicator for recommended revascularization, among the 87 patients without prior cardiac bypass, 25 (28.7%) might not require revascularization treatment. Dedicated cardiac CZT SPECT and conventional SPECT MPI combined with F-18-FDG PET/CT significantly influenced the assessment of viable myocardium. The impact of CTAC was more profound in dedicated cardiac CZT SPECT, particularly in the INF region. CTAC significantly enhances the accuracy of viable myocardial assessment and may influence clinical decisions regarding revascularization therapy. Therefore, CTAC should be routinely used in dedicated cardiac CZT SPECT MPI combined with F-18-FDG PET/CT for myocardial viability diagnosis.

Regional cerebral blood flow in behavioral variant of FTD: hypoperfusion patterns and clinical associations.

Findings from functional neuroimaging techniques, such as single-photon emission computed tomography (SPECT), may add useful evidence improving Frontotemporal Dementia (FTD) diagnosis. The aim of the present study was to investigate patterns of hypoperfusion in a group of patients diagnosed with the behavioral variant of FTD (bvFTD) and to explore the relationship between brain perfusion and clinical characteristics. Brain perfusion of 23 bvFTD patients was measured with SPECT scintigraphy in lobes and Brodmann areas (BAs) and the NeurogamTM software was used for image analysis. To assess behavioral disturbances and dementia severity, patients' informants completed the Frontotempotal Behavioral Inventory and the Frontotemporal Dementia Rating Scale. Descriptive statistics were used for the detection of pathological hypoperfusion in lobes and selected BAs. Associations among patients' clinical characteristics and perfusion in lobes were explored via non-parametric correlations. Participants presented pathological hypoperfusion in frontal, limbic and temporal lobes. The most prominent deficit was observed in limbic lobes, where all participants showed pathological hypoperfusion. Decreased perfusion was also observed in limbic, frontal and temporal BAs. Perfusion in the left and right frontal lobe was associated with behavioral disturbances and disease severity, which was also correlated with perfusion in right limbic, left and right temporal areas. Patterns of limbic, frontal and temporal hypopefusion were reported in the present study, along with associations between brain perfusion, behavioral disturbance and severity of dementia. Perfusion patterns can help to understand further associated brain biomarkers, contributing to early diagnosis and intervention in bvFTD.

Deep learning-based approach for acquisition time reduction in ventilation SPECT in patients after lung transplantation.

We aimed to evaluate the image quality and diagnostic performance of chronic lung allograft dysfunction (CLAD) with lung ventilation single-photon emission computed tomography (SPECT) images acquired briefly using a convolutional neural network (CNN) in patients after lung transplantation and to explore the feasibility of short acquisition times. We retrospectively identified 93 consecutive lung-transplant recipients who underwent ventilation SPECT/computed tomography (CT). We employed a CNN to distinguish the images acquired in full time from those acquired in a short time. The image quality was evaluated using the structural similarity index (SSIM) loss and normalized mean square error (NMSE). The correlation between functional volume/morphological volume (F/M) ratios of full-time SPECT images and predicted SPECT images was evaluated. Differences in the F/M ratio were evaluated using Bland-Altman plots, and the diagnostic performance was compared using the area under the curve (AUC). The learning curve, obtained using MSE, converged within 100 epochs. The NMSE was significantly lower (P < 0.001) and the SSIM was significantly higher (P < 0.001) for the CNN-predicted SPECT images compared to the short-time SPECT images. The F/M ratio of full-time SPECT images and predicted SPECT images showed a significant correlation (r = 0.955, P < 0.0001). The Bland-Altman plot revealed a bias of -7.90% in the F/M ratio. The AUC values were 0.942 for full-time SPECT images, 0.934 for predicted SPECT images and 0.872 for short-time SPECT images. Our findings suggest that a deep-learning-based approach can significantly curtail the acquisition time of ventilation SPECT, while preserving the image quality and diagnostic accuracy for CLAD.

Diagnostic Value of Magnetocardiography to Detect Abnormal Myocardial Perfusion: A Pilot Study.

Magnetocardiography (MCG) is a novel non-invasive technique that detects subtle magnetic fields generated by cardiomyocyte electrical activity, offering sensitive detection of myocardial ischemia. This study aimed to assess the ability of MCG to predict impaired myocardial perfusion using single-photon emission computed tomography (SPECT). A total of 112 patients with chest pain underwent SPECT and MCG scans, from which 65 MCG output parameters were analyzed. Using least absolute shrinkage and selection operator (LASSO) regression to screen for significant MCG variables, three machine learning models were established to detect impaired myocardial perfusion: random forest (RF), decision tree (DT), and support vector machine (SVM). The diagnostic performance was evaluated based on the sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Five variables, the ratio of magnetic field amplitude at R-peak and positive T-peak (RoART+), R and T-peak magnetic field angle (RTA), maximum magnetic field angle (MAmax), maximum change in current angle (CCAmax), and change positive pole point area between the T-wave beginning and peak (CPPPATbp), were selected from 65 automatic output parameters. RTA emerged as the most critical variable in the RF, DT, and SVM models. All three models exhibited excellent diagnostic performance, with AUCs of 0.796, 0.780, and 0.804, respectively. While all models showed high sensitivity (RF = 0.870, DT = 0.826, SVM = 0.913), their specificity was comparatively lower (RF = 0.500, DT = 0.300, SVM = 0.100). Machine learning models utilizing five key MCG variables successfully predicted impaired myocardial perfusion, as confirmed by SPECT. These findings underscore the potential of MCG as a promising future screening tool for detecting impaired myocardial perfusion. ChiCTR2200066942, https://www.chictr.org.cn/showproj.html?proj=187904.

High-contrast Compton camera: Challenges to high-quality and broadband imaging

In the field of nuclear medicine, various radiopharmaceuticals require wideband x-ray/gamma-ray imaging devices for clinical and treatment monitoring. Compton cameras, which perform imaging using high-energy gamma rays, have the potential to significantly increase the variety of radioactive nuclides that can be imaged. However, artifacts caused by the so-called “Compton cone” have hindered their clinical use. Therefore, we propose the use of a collimator to improve the contrast of images obtained using Compton cameras. In this study, we developed a high-contrast Compton camera by attaching a tungsten collimator to its front surface. The contrast is improved by applying weighting to the signals based on the distance that the high-energy gamma rays penetrated the collimator walls. As a demonstration, we visualized 198Au plates that emit 412-keV gamma rays with and without the collimator. In addition, low-energy (&amp;lt;200 keV) x-ray/gamma-ray imaging, which is difficult for conventional Compton cameras, was achieved by performing single-photon emission computed tomography (SPECT) using the collimator and scatterer of the Compton camera. We demonstrated broadband gamma-ray imaging by visualizing a 133Ba standard source using 81-keV and 356-keV gamma rays based on the principles of SPECT and Compton cameras, respectively.

Medical Image Fusion for Multiple Diseases Features Enhancement

ABSTRACTThroughout the past 20 years, medical imaging has found extensive application in clinical diagnosis. Doctors may find it difficult to diagnose diseases using only one imaging modality. The main objective of multimodal medical image fusion (MMIF) is to improve both the accuracy and quality of clinical assessments by extracting structural and spectral information from source images. This study proposes a novel MMIF method to assist doctors and postoperations such as image segmentation, classification, and further surgical procedures. Initially, the intensity‐hue‐saturation (IHS) model is utilized to decompose the positron emission tomography (PET)/single photon emission computed tomography (SPECT) image, followed by a hue‐angle mapping method to discriminate high‐ and low‐activity regions in the PET images. Then, a proposed structure feature adjustment (SFA) mechanism is used as a fusion strategy for high‐ and low‐activity regions to obtain structural and anatomical details with minimum color distortion. In the second step, a new multi‐discriminator generative adversarial network (MDcGAN) approach is proposed for obtaining the final fused image. The qualitative and quantitative results demonstrate that the proposed method is superior to existing MMIF methods in preserving the structural, anatomical, and functional details of the PET/SPECT images. Through our assessment, involving visual analysis and subsequent verification using statistical metrics, it becomes evident that color changes contribute substantial visual information to the fusion of PET and MR images. The quantitative outcomes demonstrate that, in the majority of cases, the proposed algorithm consistently outperformed other methods. Yet, in a few instances, it achieved the second‐highest results. The validity of the proposed method was confirmed using diverse modalities, encompassing a total of 1012 image pairs.

Clinical development and proof of principle testing of new regenerative vascular endothelial growth factor-D therapy for refractory angina: rationale and design of the phase 2 ReGenHeart trial

BackgroundDespite tremendous therapeutic advancements, a significant proportion of coronary artery disease patients suffer from refractory angina pectoris, that is, quality-of-life-compromising angina that is non-manageable with established pharmacological and interventional treatment...