SPECT Data Research Articles

Deep-learning-based attenuation map generation in kidney single photon emission computed tomography

BackgroundAccurate attenuation correction (AC) is vital in nuclear medicine, particularly for quantitative single-photon emission computed tomography/computed tomography (SPECT/CT) imaging. This study aimed to establish a CT-free quantification technology in kidney SPECT imaging using deep learning to generate synthetic attenuation maps (μ-maps) from SPECT data, thereby reducing radiation exposure and eliminating the need for CT scans.ResultsA dataset of 1000 Tc-99m DTPA SPECT/CT scans was analyzed for training (n = 800), validation (n = 100), and testing (n = 100) using a modified 3D U-Net for deep learning. The study investigated the use of primary emission and scattering SPECT data, normalization methods, loss function optimization, and up-sampling techniques for optimal μ-map generation. The problem of checkerboard artifacts, unique to μ-map generation from SPECT signals, and the effects of iodine contrast media were evaluated. The addition of scattering SPECT to primary emission SPECT imaging, logarithmic maximum normalization, the combination of absolute difference loss (L1) and three times the absolute gradient difference loss (3 × LGDL), and the nearest-neighbor interpolation significantly enhanced AI performance in μ-map generation (p < 0.00001). Checkerboard artifacts were effectively eliminated using the nearest-neighbor interpolation technique. The developed AI algorithm produced μ-maps neutral to the presence of iodine contrast and showed negligible contrast effects on quantitative SPECT measurement, such as glomerular filtration rate (GFR). The potential reduction in radiation exposure by transitioning to AI-based CT-free SPECT imaging ranges from 45.3 to 78.8%.ConclusionThe study successfully developed and optimized a deep learning algorithm for generating synthetic μ-maps in kidney SPECT images, demonstrating the potential to transition from conventional SPECT/CT to CT-free SPECT imaging for GFR measurement. This advancement represents a significant step towards enhancing patient safety and efficiency in nuclear medicine.

Artificial intelligence-based CT-free quantitative thyroid SPECT for thyrotoxicosis: study protocol of a multicentre, prospective, non-inferiority study

IntroductionTechnetium thyroid uptake (TcTU) measured by single-photon emission CT/CT (SPECT/CT) is an important diagnostic tool for the differential diagnosis of Graves’ disease and destructive thyroiditis. Artificial intelligence (AI) may reduce...

Brain perfusion SPECT in the presurgical evaluation of epilepsy: is additional ictal SPECT required in case of high-confidence lateralization of the seizure onset zone by interictal SPECT and vice versa?

BackgroundIctal brain perfusion SPECT provides higher sensitivity for the identification of the epileptic seizure onset zone (SOZ) than interictal SPECT. However, ictal SPECT is demanding due to the unpredictable waiting period for the next seizure to allow for ictal tracer injection. Thus, starting with an interictal scan and skipping the ictal scan if the interictal scan provides a SOZ candidate with high confidence could be an efficient approach. The current study estimated the rate of high-confidence SOZ candidates and the false lateralization rate among them for interictal and ictal SPECT.Methods177 patients (48% females, median age 38y, interquartile range 27–48y) with ictal and interictal SPECT acquired with 99mTc-HMPAO (n = 141) or -ECD (n = 36) were included retrospectively. The vast majority of the patients was suspected to have temporal lobe epilepsy. Visual interpretation of the SPECT data was performed independently by 3 readers in 3 settings: “interictal only” (interictal SPECT and statistical hypoperfusion map), “ictal only” (ictal SPECT and hyperperfusion map), and “full” setting (side-by-side interpretation of ictal and interictal SPECT including statistical maps and SISCOM analysis). The readers lateralized the SOZ (right, left, none) and characterized their confidence using a 5-score. A case was considered "lateralizing with high confidence” if all readers lateralized to the same hemisphere with at least 4 of 5 confidence points. Lateralization of the SOZ in the “full” setting was used as reference standard.ResultsThe proportion of “lateralizing with high confidence” cases was 4.5/31.6/38.4% in the “interictal only”/“ictal only”/“full” setting. One (12.5%) of the 8 cases that were “lateralizing with high confidence” in the “interictal only” setting lateralized to the wrong hemisphere. Among the 56 cases that were “lateralizing with high confidence” in the “ictal only” setting, 54 (96.4%) were also lateralizing in the “full” setting, all to the same hemisphere.ConclusionsStarting brain perfusion SPECT in the presurgical evaluation of epilepsy with an interictal scan to skip the ictal scan in case of a high-confidence interictal SOZ candidate is not a useful approach. In contrast, starting with an ictal scan to skip the interictal scan in case of a high-confidence ictal SOZ candidate can be recommended.

The Influence of Kinetic Models and Attenuation Correction on Cadmium-Zinc-Telluride Single-Photon Emission Computed Tomography (CZT SPECT)-Derived Myocardial Blood Flow and Reserve: Correlation with Invasive Angiography Data.

(1) Background: The objective of this study was to determine the optimal post-processing model for dynamic cadmium-zinc-telluride single-photon emission computed tomography (CZT-SPECT). (2) Methods: A total of 235 patients who underwent diagnostic invasive coronary angiography within three months of the SPECT and those who had coronary computed tomography angiography (CCTA) before SPECT (within 3 months) were enrolled in this study. Each SPECT study was processed to obtain global and regional stress myocardial blood flow (sMBF), rest-MBF (rMBF), myocardial flow reserve (MFR) and flow difference (FD) estimates obtained with 1-tissue-compartment (1TCM) and net retention (NR) modes, both with and without attenuation correction. (3) Results: The use of AC led to significantly higher sMBF, rMBF and DF values obtained by 1TCM compared those values derived by 1TCM with NAC; the lowest values of stress MBF and rest MBF were obtained by 1TCM_NAC. The resting flow, MFR and DF were significantly (p < 0.005) higher in the AC model than in NAC. All quantitative variables were significantly (p < 0.05) higher in NR_NAC than in the 1TC_NAC model. Finally, sMBF, rMBF and FD showed significantly (p < 0.05) higher values by using 1TMC_AC compared to NR_AC. (4) Conclusions: We suggested that 1-compartment and net retention models correctly reflect coronary microcirculation and can be used for clinical practice for evaluating quantitative myocardial perfusion by dynamic SPECT. Attenuation correction is an important step in post-processing dynamic SPECT data, which increases the consistency and diagnostic accuracy of models.

The determination of the optimal threshold on measurement of thyroid volume using quantitative SPECT/CT for Graves' hyperthyroidism

PurposeTo investigate the optimal threshold for measuring thyroid volume in patients with Grave's hyperthyroidism (GH) by SPECT/CT.Materials and methodsA 53 mL butterfly-shaped hollow container made of two 45-degree transparent elbows was put into a NEMA IEC phantom tank. The butterfly-shaped container and the tank were then filled with Na99mTcO4 of different radioactive concentrations, respectively, which could simulate thyroid gland with GH by different target-to-background ratios (T/B) (200:1, 600:1, 1000:1). The different T/B of planar imaging and SPECT/CT were acquired by a Discovery NM/CT 670 Pro SPECT/CT. With Thyroid software (Version 4.0) of GE-Xeleris workstation, the region of the thyroid gland in planar imaging was delineated. The thyroid area and average long diameter of both lobes were substituted into the Allen formula to calculate the thyroid volume. The calculation error was compared with the actual volume. Q-Metrix software was used to perform CT-based attenuation correction, scatter correction, resolution recovery. Ordered-subsets expectation maximization was used to reconstruct SPECT data. 20%, 25%, 30%, 40%, 50%, 60% thresholds were selected to automatically delineate the volume of interest and compared with the real volume, which determinated the optimal threshold. We measured the thyroid volume of 40 GH patients using the threshold and compared the volumes obtained by planar imaging and ultrasound three-dimensional. The differences of the volumes with different T/B and thresholds were compared by the ANOVA and least significant difference t test. The volumes delineated by SPECT/CT were evaluated using ANOVA, least significant difference t test, correlation analysis and, linear regression and Bland–Altman concordance test plot. The differences and consistency of thyroid volume were compared among the above three methods.ResultsThere was no significant difference in the results between different T/B models (P > 0.05). The thyroid volume calculated by the planar imaging formula method was higher than the real volume, with an average overestimation of 22.81%. The volumes delineated by SPECT/CT threshold automatically decreased while the threshold increased. There were significant differences between groups with different thresholds (P < 0.001). With an average error of 3.73%, the thyroid volume analyzed by the threshold of 25% was close to the results of ultrasound measurement (P > 0.05). Thyroid volume measured by planar imaging method was significantly higher than ultrasound and SPECT/CT threshold automatic delineation method (P < 0.05). The agreement between the SPECT/CT 25% threshold and ultrasound (r = 0.956, b = 0.961) was better than that between the planar imaging and ultrasound (r = 0.590, b = 0.574). The Bland–Altman plot also showed that the thyroid volume measured by the 25% threshold automatic delineation method was in good agreement with the ultrasound measurement.ConclusionsThe T/B has no effect on the measurement of thyroid volume in GH patients; planar imaging method can significantly overestimate thyroid volume in GH patients, and 25% threshold automatic delineation method can obtain more accurate thyroid volume in GH patients.

Validation of Quantitative Accuracy and Variability in 177Lu Imaging Using Monte Carlo Simulation

To predict side effects and optimize injection doses in the dosimetry of 177Lu imaging, highly accurate quantitative SPECT images are required. Monte Carlo simulations were performed to verify the accuracy and variability of quantitative values for 177Lu imaging under various imaging conditions. SPECT data of NEMA body phantom were assumed to simulate intrahepatic tumors 6 h after administration of 7.4 GBq of 177Lu-Dotatate. SPECT data were acquired using the SIMIND program with different combinations of collimators and energy windows. For variability evaluation, 30 SPECT images with Poisson noise were generated for each acquisition time. The relative error was evaluated for accuracy evaluation, and the coefficient of variation was estimated for variability evaluation. The accuracy of BG quantification was less than 10% relative error. The accuracy of hot sphere quantification was highest with the combination of MEGP and an energy window of 208 keV±10%. However, the accuracy of hot sphere quantification decreased significantly with decreasing hot sphere diameter. Variability varied with imaging conditions and improved with longer acquisition time. Monte Carlo simulations revealed the accuracy and variability of quantitative values for each SPECT imaging condition for 177Lu imaging.

Impact of Attenuation Correction, Collimator, and Iterative Reconstruction Protocols on 67Ga SPECT/CT Quantification

Purpose: The main goal of this study was to determine the optimal collimator in the absence of medium energy collimators along with the impact of Attenuation Correction (AC) and different iterative reconstruction protocols on the quantitative evaluation of Gallium-67 (67Ga) SPECT/CT imaging.&#x0D; Materials and Methods: A GE Discovery 670 dual-head SPECT/CT scanner and a NEMA phantom filled with 67Ga solution were used to scan the patients. The projections were acquired with both Low Energy High Resolution (LEHR) and High Energy General Purpose (HEGP) collimators, and CT images were acquired to evaluate the effect of attenuation correction. SPECT data were reconstructed using the ordered subset expectation maximization (OSEM) method with various combinations of iterations and subsets. The performance was quantified, and a clinical study validated the phantom study.&#x0D; Results: Acquired images by the HEGP collimator yielded higher Contrast Recovery (CR) and Contrast to Noise Ratio (CNR) in images with AC than those without non-AC (41.6% and 74.2%, respectively). The CNR in all spheres after AC was increased by 80.4% (82.1%) for the HEGP collimator against the LEHR collimator. Also, an increase in iterations × subsets from 16 to 48 led to the Coefficient of Variation (COV) increasing by 17.2%, 16.67%, 15.50%, 14.4%, 14.2%, and 14.1% for 10 mm to 37 mm sphere diameter, respectively.&#x0D; Conclusion: CT-based AC and HEGP collimators can yield improved 67Ga SPECT quantification compared to Non-AC and LEHR collimators. The choice of the optimal collimator with the reconstruction protocol led to changes in the image quality and quantitative accuracy, emphasizing the need to carefully select the appropriate combination of data acquisition factors.&#x0D;

Patient-level explainable machine learning to predict major adverse cardiovascular events from SPECT MPI and CCTA imaging.

Machine learning (ML) has shown promise in improving the risk prediction in non-invasive cardiovascular imaging, including SPECT MPI and coronary CT angiography. However, most algorithms used remain black boxes to clinicians in how they compute their predictions. Furthermore, objective consideration of the multitude of available clinical data, along with the visual and quantitative assessments from CCTA and SPECT, are critical for optimal patient risk stratification. We aim to provide an explainable ML approach to predict MACE using clinical, CCTA, and SPECT data. Consecutive patients who underwent clinically indicated CCTA and SPECT myocardial imaging for suspected CAD were included and followed up for MACEs. A MACE was defined as a composite outcome that included all-cause mortality, myocardial infarction, or late revascularization. We employed an Automated Machine Learning (AutoML) approach to predict MACE using clinical, CCTA, and SPECT data. Various mainstream models with different sets of hyperparameters have been explored, and critical predictors of risk are obtained using explainable techniques on the global and patient levels. Ten-fold cross-validation was used in training and evaluating the AutoML model. A total of 956 patients were included (mean age 61.1 ±14.2 years, 54% men, 89% hypertension, 81% diabetes, 84% dyslipidemia). Obstructive CAD on CCTA and ischemia on SPECT were observed in 14% of patients, and 11% experienced MACE. ML prediction's sensitivity, specificity, and accuracy in predicting a MACE were 69.61%, 99.77%, and 96.54%, respectively. The top 10 global predictive features included 8 CCTA attributes (segment involvement score, number of vessels with severe plaque ≥70, ≥50% stenosis in the left marginal coronary artery, calcified plaque, ≥50% stenosis in the left circumflex coronary artery, plaque type in the left marginal coronary artery, stenosis degree in the second obtuse marginal of the left circumflex artery, and stenosis category in the marginals of the left circumflex artery) and 2 clinical features (past medical history of MI or left bundle branch block, being an ever smoker). ML can accurately predict risk of developing a MACE in patients suspected of CAD undergoing SPECT MPI and CCTA. ML feature-ranking can also show, at a sample- as well as at a patient-level, which features are key in making such a prediction.

Clinical validation of an AI-based automatic quantification tool for lung lobes in SPECT/CT

BackgroundLung lobar ventilation and perfusion (V/Q) quantification is generally obtained by generating planar scintigraphy images and then imposing three equally sized regions of interest on the data of each lung. This method is fast but not as accurate as SPECT/CT imaging, which provides three-dimensional data and therefore allows more precise lobar quantification. However, the manual delineation of each lobe is time-consuming, which makes SPECT/CT incompatible with the clinical workflow for V/Q estimation. An alternative may be to use artificial intelligence-based auto-segmentation tools such as AutoLung3D (Siemens Healthineers, Knoxville, USA), which automatically delineate the lung lobes on the CT data acquired with the SPECT data. The present study assessed the clinical validity of this approach relative to planar scintigraphy and manual quantification in SPECT/CT.MethodsThe Autolung3D software was tested on the retrospective SPECT/CT data of 43 patients who underwent V/Q scintigraphy with 99mTc-macroaggregated albumin and 99mTc-labeled aerosol. It was compared to planar scintigraphy and SPECT/CT using the manual quantification method in terms of relative lobar V/Q quantification values and interobserver variability.ResultsThe three methods provided similar V/Q estimates for the left lung lobes and total lungs. However, compared to the manual SPECT/CT method, planar scintigraphy yielded significantly higher estimates for the middle right lobe and significantly lower estimates for the superior and inferior right lobes. The estimates of the manual and automated SPECT/CT methods were similar. However, the post-processing time in the automated method was approximately 5 min compared to 2 h for the manual method. Moreover, the automated method associated with a drastic reduction in interobserver variability: Its maximal relative standard deviation was only 5%, compared to 23% for planar scintigraphy and 19% for the manual SPECT/CT method.ConclusionsThis study validated the AutoLung3D software for general clinical use since it rapidly provides accurate lobar quantification in V/Q scans with markedly less interobserver variability than planar scintigraphy or the manual SPECT/CT method.

Challenges in Acquiring Clinical Simultaneous SPECT-MRI on a PET-MRI Scanner

The INSERT is the world’s first clinical SPECTMRI brain imaging system based on scintillation detectors with a SiPM readout. Here we demonstrate its use within a clinical MRI environment for the first time. Using a standard transmit-receive head coil, and with an appropriate selection of a custom MRI sequence (GRE), we overcome mutual interference. The INSERT and its bulky 50 kg tungsten collimator introduce magnetic field inhomogeneity. Due to the specific MRI-compatible collimator design, inhomogeneity is compensated by shimming, leading to simultaneous acquisition. We process the SPECT data acquired alongside the MRI sequence to evaluate the SPECT system performance and the impact of the MRI. Finally, we present a set of simultaneous SPECT-MRI acquisitions, demonstrating multimodal imaging capabilities, albeit with a limited MRI sequence.

Investigation and optimization of PET-guided SPECT reconstructions for improved radionuclide therapy dosimetry estimates.

To investigate and optimize the SPECTRE (Single Photon Emission Computed Theranostic REconstruction) reconstruction approach, using the hybrid kernelised expectation maximization (HKEM) algorithm implemented in the software for tomographic image reconstruction (STIR) software library, and to demonstrate the feasibility of performing algorithm exploration and optimization in 2D. Optimal SPECTRE parameters were investigated for the purpose of improving SPECT-based radionuclide therapy (RNT) dosimetry estimates. Using the NEMA IEC body phantom as the test object, SPECT data were simulated to model an early and late imaging time point following a typical therapeutic dose of 8 GBq of 177Lu. A theranostic 68Ga PET-prior was simulated for the SPECTRE reconstructions. The HKEM algorithm parameter space was investigated for SPECT-unique and PET-SPECT mutual features to characterize optimal SPECTRE parameters for the simulated data. Mean and maximum bias, coefficient of variation (COV %), recovery, SNR and root-mean-square error (RMSE) were used to facilitate comparisons between SPECTRE reconstructions and OSEM reconstructions with resolution modelling (OSEM_RM). 2D reconstructions were compared to those performed in 3D in order to evaluate the utility of accelerated algorithm optimization in 2D. Segmentation accuracy was evaluated using a 42% fixed threshold (FT) on the 3D reconstructed data. SPECTRE parameters that demonstrated improved image quality and quantitative accuracy were determined through investigation of the HKEM algorithm parameter space. OSEM_RM and SPECTRE reconstructions performed in 2D and 3D were qualitatively and quantitatively similar, with SPECTRE showing an average reduction in background COV % by a factor of 2.7 and 3.3 for the 2D case and 3D case respectively. The 42% FT analysis produced an average % volume difference from ground truth of 158% and 26%, for the OSEM_RM and SPECTRE reconstructions, respectively. The SPECTRE reconstruction approach demonstrates significant potential for improved SPECT image quality, leading to more accurate RNT dosimetry estimates when conventional segmentation methods are used. Exploration and optimization of SPECTRE benefited from both fast reconstruction times afforded by first considering the 2D case. This is the first in-depth exploration of the SPECTRE reconstruction approach, and as such, it reveals several insights for reconstructing SPECT data using PET side information.

Effect of Gaussian Smoothing Filter Size for CT-Based Attenuation Correction on Quantitative Assessment of Bone SPECT/CT: A Phantom Study.

This study aims to determine the effect of Gaussian filter size for CT-based attenuation correction (CTAC) on the quantitative assessment of bone SPECT. An experiment was performed using a cylindrical phantom containing six rods, of which one was filled with water and five were filled with various concentrations of K2HPO4 solution (120-960mg/cm3) to simulate different bone densities. 99mTc-solution of 207kBq/ml was also included within the rods. SPECT data were acquired at 120 views for 30s/view. CT for attenuation correction were obtained at 120 kVp and 100mA. Sixteen different CTAC maps processed with different Gaussian filter sizes (ranging from 0 to 30mm in 2mm increments) were generated. SPECT images were reconstructed for each of the 16 CTAC maps. Attenuation coefficients and radioactivity concentrations in the rods were compared with those in the water-filled rod without K2HPO4 solution as a reference. Gaussian filter sizes below 14-16mm resulted in an overestimation of radioactivity concentrations for rods with high concentrations of K2HPO4 (≥ 666mg/cm3). The overestimation of radioactivity concentration measurement was 3.8% and 5.5% for 666mg/cm3 and 960mg/cm3 K2HPO4 solutions, respectively. The difference in radioactivity concentration between the water rod and the K2HPO4 rods was minimal at 18-22mm. The use of Gaussian filter sizes smaller than 14-16mm caused an overestimation of radioactivity concentration in regions of high CT values. Setting the Gaussian filter size to 18-22mm enables radioactivity concentration to be measured with the least influence on bone density.

NEMA NU 1-2018 performance characterization and Monte Carlo model validation of the Cubresa Spark SiPM-based preclinical SPECT scanner

BackgroundThe Cubresa Spark is a novel benchtop silicon-photomultiplier (SiPM)-based preclinical SPECT system. SiPMs in SPECT significantly improve resolution and reduce detector size compared to preclinical cameras with photomultiplier tubes requiring highly magnifying collimators. The NEMA NU 1 Standard for Performance Measurements of Gamma Cameras provides methods that can be readily applied or extended to characterize preclinical cameras with minor modifications. The primary objective of this study is to characterize the Spark according to the NEMA NU 1-2018 standard to gain insight into its nuclear medicine imaging capabilities. The secondary objective is to validate a GATE Monte Carlo simulation model of the Spark for use in preclinical SPECT studies.MethodsNEMA NU 1-2018 guidelines were applied to characterize the Spark’s intrinsic, system, and tomographic performance with single- and multi-pinhole collimators. Phantoms were fabricated according to NEMA specifications with deviations involving high-resolution modifications. GATE was utilized to model the detector head with the single-pinhole collimator, and NEMA measurements were employed to tune and validate the model. Single-pinhole and multi-pinhole SPECT data were reconstructed with the Software for Tomographic Image Reconstruction and HiSPECT, respectively.ResultsThe limiting intrinsic resolution was measured as 0.85 mm owing to a high-resolution SiPM array combined with a 3 mm-thick scintillation crystal. The average limiting tomographic resolution was 1.37 mm and 1.19 mm for the single- and multi-pinhole collimators, respectively, which have magnification factors near unity at the center of rotation. The maximum observed count rate was 15,400 cps, and planar sensitivities of 34 cps/MBq and 150 cps/MBq were measured at the center of rotation for the single- and multi-pinhole collimators, respectively. All simulated tests agreed well with measurement, where the most considerable deviations were below 7%.ConclusionsNEMA NU 1-2018 standards determined that a SiPM detector mitigates the need for highly magnifying pinhole collimators while preserving detailed information in projection images. Measured and simulated NEMA results were highly comparable with differences on the order of a few percent, confirming simulation accuracy and validating the GATE model. Of the collimators initially provided with the Spark, the multi-pinhole collimator offers high resolution and sensitivity for organ-specific imaging of small animals, and the single-pinhole collimator enables high-resolution whole-body imaging of small animals.

Microvascular dysfunction assessed by dynamic cardiac SPECT in subjects with cardiac transthyretin amyloidosis

Few studies found that coronary microvascular dysfunction was highly prevalent in subjects with cardiac transthyretin amyloidosis (ATTR), even in the absence of epicardial coronary artery disease (CAD). The aim of this preliminary report is to confirm the coronary microvascular dysfunction using dynamic cardiac SPECT. Adult patients with confirmed ATTR cardiomyopathy were included before Tafamidis treatment in a multicentric, prospective, observational cohort study (AMYTRE study, NCT05103943). Dynamic cardiac SPECT data were acquired on CZT-based pinhole cardiac cameras in listmode using a stress (249 ± 13 MBq)/rest (506 ± 17 MBq) one-day 99mTc-tetrofosmin protocol. Kinetic analysis was done with Corridor4DMTM software using a 1-tissue-compartment model and converted to myocardial blood flow using a previously determined extraction fraction correction. Myocardial flow reserve (MFR) was defined as the ratio between stress and rest myocardial blood flow. Thirteen (9 male, 4 female) patients were prospectively included. Mean age was 77 ± 18; mean BMI was 28 ± 8.1. ATTR was diagnosed on 99mTc-HDP bone scintigraphy (8 grade 2 and 5 grade 3). LVEF was preserved, mean 57 ± 7.5%. Twelve patients had normal perfusion imaging, without ischemia; 1 patient had moderate infero-basal ischemia (5–10% extent). MFR was significantly reduced both globally (1.5 ± 0.35) and in all territories (1.5 ± 0.34 for left anterior descending, 1.6 ± 0.39 for left circumflex, and 1.6 ± 0.45 for right coronary). In this preliminary report, MFR is significantly reduced in all territories in patients with ATTR cardiomyopathy, undergoing cardiac dynamic SPECT. This confirms potential coronary microvascular dysfunction.

Interstitial lung disease (ILD) after COVID-19: a new fibro-inflammatory disease?

Introduction. Nowadays post-COVID respiratory symptoms that could be associated with pulmonary fibrosis progression are of concern. Objective. To compare CT and SPECT data of patients with post-COVID pulmonary fibrosis, and to define whether the lung fibrosis progression could be predictable. Material and Methods. Changes in chest CT scan, microcirculation disorders (SPECT) and impaired lung function parameters (DLCO) were analyzed in 74 post-COVID patients with residual consequences of COVID-19. Results. A year or more after the disease, 17 % of patients had isolated ground-glass areas, 24 % of patients had ventilation mosaics and air traps, most patients had compaction of the interlobular interstitial tissue of a short UIP type (67 %); consolidation zones (38 %); zones of pulmonary fibrosis of different lengths (57 %); discoid atelectasis (39 %); bronchiectasis (26 %), pulmonary hypertension (PH) (36 %). Significant decrease of the diffusion capacity and great microcirculation disorders accompanied by more than 50 % perfusion lack were detected. We demonstrated that significant radiological and functional effects of viral pneumonia were likely to be associated with post-viral interstitial lung disease. Conclusions. 1. Complete X-ray examination with lung diffusion capacity determination can contribute to optimal dispensary observation of post-COVID patients. 2. Microcirculation disorder greater than 50 % of the norm is a predictor of the lung parenchyma changes and can contribute to the prediction of long-term effects of the disease. 3. Complete radiation monitoring is required for patients over 60 years of age; post-COVID patients having severe form of the disease; patients having respiratory complaints for more than a year, regardless of the severity of COVID-19.

Radiological microcirculatory findings in a relatively normal radiological picture of the lungs

Introduction. In clinical practice the state of the lungs could be assessed by a large number of functional, laboratory and instrumental tests, including a powerful approach like radiodiagnosis. Reliable, timely detection of hemodynamic disorders in the lungs, as well as their correct interpretation, are important for effective treatment. Objective. To show the diagnostic significance of SPECT in the detection of lung pathology in patients with a relatively normal radiographic picture. Materials and methods. SPECT data of patients had a relatively normal X-ray picture of the lungs were analyzed to assess changes in lung circulation. Patients (n=176) were divided into groups according to diseases: group 1 – patients (n=78) with post-COVID syndrome; group 2 – patients (n=23) with heart failure, PH; group 3 – patients with vasculitis (n=48); group 4 – patients with lymphoproliferative diseases (n=27) (acute lymphoblastic leukemia, peripheral T-cell lymphoma, diffuse B-cell lymphoma). Results. SPECT was shown to be useful in detecting disorders in the microvasculature of the lungs in patients with various pathologies. The results of X-ray and radionuclide methods were compared for patients with lesions of the bronchopulmonary system. The diagnosis errors of a radiologist caused by non-obvious changes on radiographs of the chest cavity organs were analyzed. Conclusions. Lung radiological examination is a complementary to X-ray method and in some cases it is preferred to establish the causes of the disease due to the higher sensitivity. The radiological algorithm, qualitative and quantitative assessment of the results of radiological examination, allows to detect minimal changes in the lungs.

Relationship between [123I]FP-CIT SPECT data and peripheral CD4 + T cell profile in newly-diagnosed drug-naïve Parkinson's disease patients.

Dysregulation of the CD4 + T cell compartment occurs in Parkinson's Disease (PD). Nonetheless, the exact relationship with dopamine transporter (DAT) SPECT denervation patterns is currently unknown. Expression of transcription factors and levels of circulating CD4 + T cell subsets were assessed in peripheral blood mononuclear cells (PBMC) from 23 newly diagnosed drug-naïve PD patients. Semi-quantitative [123I]-FP-CIT SPECT data, i.e. uptake in the most and least affected putamen (maP, laP) and caudate (maC, laC), total striatal binding ratio (tSBR), and total putamen-to-caudate ratio (tP/C) were obtained. FOXP3 mRNA levels correlated with the uptake in maC (r = - 0.542, P = 0.011), laP (r = - 0.467, P = 0.033), and tSBR (r = - 0.483, P = 0.027). Concerning flow cytometry analysis of circulating CD4 + T cell subsets, a significant relationship between tP/C, caudate uptake, and the levels of both T helper (Th)1 and 2, was detected. Furthermore, we found significant correlations between the uptake in maP and the total count of naïve and activated T regulatory cells (Treg) (r = - 0.717, P = 0.001; r = - 0.691, P = 0.002), which were confirmed after the Benjamini-Hochberg correction for multiple comparisons using a false discovery rate at level q = 0.10. Levels of circulating naïve Treg were higher (P = 0.014) in patients with more extensive dopaminergic denervation, suggesting a compensatory phenomenon. Peripheral CD4 + T cell immunity is involved in early-stage PD and novel correlations with striatal DAT loss were observed.

Feasibility of Left Ventricle Ejection Fraction Calculation Using Electrocardiographically Gated SPECT Acquisition of 99m Tc-HDP Bone Scintigraphy in Cardiac Amyloidosis.

We performed bone scintigraphy in 6 patients with suspected cardiac amyloidosis. To evaluate feasibility of left ventricle function analysis, we additionally performed electrocardiographically gated SPECT acquisition. The cardiac-gated SPECT data confirmed adequate tracer uptake for automatic myocardial contour determination. LVEF estimations ranged between 24% and 54%. Comparison with LVEF estimations from prior echocardiography generally showed only small differences. In one patient, the LVEF measurements from both methods seemed discordant, probably reflecting actual LVEF worsening, which was confirmed at follow-up echocardiography. Therefore, our results may suggest that cardiac-gated SPECT acquisition at bone scintigraphy can provide meaningful estimates of LVEF.

ОДНОФОТОННАЯ ЭМИССИОННАЯ КОМПЬЮТЕРНАЯ ТОМОГРАФИЯ С 99mTс-1-ТИО-D-ГЛЮКОЗОЙ В ОЦЕНКЕ ЭФФЕКТИВНОСТИ И ПРОГНОЗЕ РЕЗУЛЬТАТОВ ЛЕЧЕНИЯ ЛИМФОПРОЛИФЕРАТИВНЫХ ЗАБОЛЕВАНИЙ

Purpose: Study of 99mTc-1-thio-D-glucose (99mTc-TG) SPECT using fore possibility to assess the effectiveness of therapy and predict the results of lymphomas treatment. Material and methods: We analyzed 99mTc-TG SPECT data of 30 people with malignant lymphomas: before treatment (SPECT1), after two courses (SPECT2) and after completion of chemotherapy (SPECT3). Results: By the results of SPECT2 analyzing, a complete metabolic response after two courses of chemotherapy (SPECT2–) was observed in 15 patients (50 %). In 15 patients, after 2 cycles of chemotherapy, a partial metabolic response (12 people) or no metabolic response (3 people) was established. These patients constituted the SPECT2+ group. After completion of chemotherapy, a complete metabolic response (SPECT3–) was diagnosed in 21 (70 %) patients. This effect was obtained in 15 (100 %) patients with SPECT2– and in 6 patients (40 %) with SPECT2+. Of the 15 patients in the SPECT2+ group, 9 (60 %) patients after completion of chemotherapy were diagnosed with a partial metabolic response (6 people) or metabolic progression (3 people). By two-year follow-up of patients, show that remission was observed in 23 (77 %) patients (complete remission in 15 people, uncertain complete remission in 8 patients). The relapse group consisted of 7 (23 %) cases, while 4 patients had a relapse of the disease, and 3 had progression. In SPECT2+ group, relapse of the disease was observed in 6 (40 %) cases, and remission in 9 (60 %) patients. While in SPECT2– group 1 (7 %) person relapse was diagnosed and 14 (93 %) were in remission (p&lt;0.05). Conclusion: 99mTc-TG SPECT makes it possible to evaluate the results of lymphomas treatment with high efficiency. The presence of a complete metabolic response of the tumor after two courses of therapy indicates a high level of disease-free survival.

Patient-specific biokinetics and hybrid 2D/3D approach integration in OEDIPE software: Application to radioiodine therapy

BackgroundThe progression of targeted radionuclide therapy requires the development of dosimetry software accounting for patient-specific biokinetics. New functionalities were thus developed in the OEDIPE software, to deal with multiple 3D images or multiple planar images and a SPECT image. Materiel & methodMethods were implemented to recover patient biokinetics in volumes of interest. If several 3D SPECT images are available, they are registered to a reference CT scan. When several planar images and a single SPECT are available, the planar images are registered to the SPECT and counts of the planar images converted to activity. To validate these developments, six SPECT/CT and planar images of a Jaszczak phantom containing I-131 were acquired at different dates. Cumulated activity was estimated in each sphere using the SPECT/CT images only or the planar series associated to one SPECT/CT. Biokinetics and doses in lesions and in the lungs of a patient treated with I-131 for differentiated thyroid cancer were then estimated using four planar images and a SPECT/CT scan. Whole-body retention data were used to compare the biokinetics obtained from the planar and SPECT data. ResultsActivities and cumulated activities estimated using OEDIPE in the phantom spheres agreed well with the reference values for both approaches. Results obtained for the patient compared well with those derived from whole-body retention data. ConclusionThe implemented features allow automatic evaluation of patient-specific biokinetics from different series of patient images, enabling patient-specific dosimetry without the need for external software to estimate the cumulated activities in different VOIs.