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Sökning: L773:0914 7187 OR L773:1864 6433

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1.
  • Bajc, Marika, et al. (författare)
  • Grading obstructive lung disease using tomographic pulmonary scintigraphy in patients with chronic obstructive pulmonary disease (COPD) and long-term smokers.
  • 2015
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 1864-6433 .- 0914-7187. ; 29:1, s. 91-99
  • Tidskriftsartikel (refereegranskat)abstract
    • The severity of chronic obstructive lung disease (COPD) is defined by the degree of flow limitation measured as forced expiratory volume in 1 s, which mainly reflects impairment of large and intermediate airways. However, COPD is primarily a small airways disease. Therefore, better diagnostic tools are needed. Ventilation-Perfusion (V/P) SPECT is a sensitive method to detect obstructive lung changes but criteria for staging airway obstruction are missing.
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  • Cheimariotis, Grigorios Aris, et al. (författare)
  • Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT
  • 2018
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 32:2, s. 94-104
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: Image segmentation is an essential step in quantifying the extent of reduced or absent lung function. The aim of this study is to develop and validate a new tool for automatic segmentation of lungs in ventilation and perfusion SPECT images and compare automatic and manual SPECT lung segmentations with reference computed tomography (CT) volumes. Methods: A total of 77 subjects (69 patients with obstructive lung disease, and 8 subjects without apparent perfusion of ventilation loss) performed low-dose CT followed by ventilation/perfusion (V/P) SPECT examination in a hybrid gamma camera system. In the training phase, lung shapes from the 57 anatomical low-dose CT images were used to construct two active shape models (right lung and left lung) which were then used for image segmentation. The algorithm was validated in 20 patients, comparing its results to reference delineation of corresponding CT images, and by comparing automatic segmentation to manual delineations in SPECT images. Results: The Dice coefficient between automatic SPECT delineations and manual SPECT delineations were 0.83 ± 0.04% for the right and 0.82 ± 0.05% for the left lung. There was statistically significant difference between reference volumes from CT and automatic delineations for the right (R = 0.53, p = 0.02) and left lung (R = 0.69, p < 0.001) in SPECT. There were similar observations when comparing reference volumes from CT and manual delineations in SPECT images, left lung (bias was − 10 ± 491, R = 0.60, p = 0.005) right lung (bias 36 ± 524 ml, R = 0.62, p = 0.004). Conclusion: Automated segmentation on SPECT images are on par with manual segmentation on SPECT images. Relative large volumetric differences between manual delineations of functional SPECT images and anatomical CT images confirms that lung segmentation of functional SPECT images is a challenging task. The current algorithm is a first step towards automatic quantification of wide range of measurements.
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  • Davidsson, Anette, et al. (författare)
  • Comparison between visual assessment of dopaminergic degeneration pattern and semi-quantitative ratio calculations in patients with Parkinsons disease and Atypical Parkinsonian syndromes using DaTSCAN (R) SPECT
  • 2014
  • Ingår i: Annals of Nuclear Medicine. - : Springer Verlag (Germany). - 0914-7187 .- 1864-6433. ; 28:9, s. 851-859
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective To verify if I-123-FP-CIT, DaTSCAN (R) can differentiate early stages of Parkinsons disease (PD) as well as patients with Atypical Parkinsonian syndromes (APS) from manifest Parkinsons disease. Methods 128 consecutive patients were investigated with I-123-FP-CIT SPECT during a 4-year period. All patients were diagnosed according to the established consensus criteria for diagnosis of PD (n = 53) and APS (n = 19). Remaining patients were grouped early PD (before onset of L-DOPA medication), (n = 20), vascular PD (n = 6), and non-PD syndromes (n = 30) and SWEDD (n = 1). SPECT images were analyzed visually according to a predefined ranking scale of dopaminergic nerve cell degeneration, distinguishing a posterior-anterior degeneration pattern (egg shape) from a more global and severe degeneration pattern (burst striatum). Striatum uptake ratios were quantitatively analyzed with the 3D software, EXINI. Results In the group of APS patients, the burst striatum pattern was most frequent and found in 61 % (11/18 patients). In PD patients, the egg shape pattern was dominating, especially in early PD where it was present in 95 % (19/20 patients). The positive predictive value for the egg shape pattern to diagnose PD was 92 % in this material (APS and all PD patients) and the specificity 90 % for the burst striatum pattern to exclude APS. The uptake ratios were reduced in both PD and APS patients and closely related to the image ranking. Conclusion In this study, we found that in more than half of the patients it was possible to differentiate between PD and APS by visual interpretation only. Similar results were obtained using semi-quantitative uptake ratios. Combining visual assessment with uptake ratios did not add to the discriminating power of DaTSCAN (R) SPECT in this material.
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  • Eriksson, Olof, et al. (författare)
  • On the use of [F-18]DOPA as an imaging biomarker for transplanted islet mass
  • 2014
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 28:1, s. 47-52
  • Tidskriftsartikel (refereegranskat)abstract
    • AimIslet transplantation is being developed as a potential cure for patients with type 1 diabetes. There is a need for non-invasive imaging techniques for the quantification of transplanted islets, as current transplantation sites are associated with a substantial loss of islet viability. The dopaminergic metabolic pathway is present in the islets; therefore, we propose Fluorine-18 labeled l-3,4-dihydroxyphenylalanine ([F-18]DOPA) as a biomarker for transplanted islet mass.MethodsThe expression of enzymes involved in the dopaminergic metabolic pathway was investigated in both native and transplanted human islets. The specific uptake of [F-18]DOPA in islets and immortalized beta cells was studied in vitro by selective blocking of dopa decarboxylase (DDC). Initial in vivo PET imaging of viable subcutaneous human islets was performed using [F-18]DOPA.ResultsDDC and vesicular monoamine transporter 2 are co-localized with insulin in the native human pancreas, and the expression is retained after transplantation. Islet uptake of the [F-18]DOPA could be modulated by inhibiting DDC, indicating that the uptake followed the normal dopaminergic metabolic pathway. In vivo imaging revealed [F-18]DOPA uptake at the site of the functional islet graft. Based on the in vitro and in vivo results presented in this study, we propose to further validate [F-18]DOPA-PET as a sensitive imaging modality for imaging extrahepatically transplanted islets.
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  • Horikoshi, H., et al. (författare)
  • Computer-aided diagnosis system for bone scintigrams from Japanese patients: importance of training database
  • 2012
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 26:8, s. 622-626
  • Tidskriftsartikel (refereegranskat)abstract
    • Computer-aided diagnosis (CAD) software for bone scintigrams have recently been introduced as a clinical quality assurance tool. The purpose of this study was to compare the diagnostic accuracy of two CAD systems, one based on a European and one on a Japanese training database, in a group of bone scans from Japanese patients. The two CAD software are trained to interpret bone scans using training databases consisting of bone scans with the desired interpretation, metastatic disease or not. One software was trained using 795 bone scans from European patients and the other with 904 bone scans from Japanese patients. The two CAD softwares were evaluated using the same group of 257 Japanese patients, who underwent bone scintigraphy because of suspected metastases of malignant tumors in 2009. The final diagnostic results made by clinicians were used as gold standard. The Japanese CAD software showed a higher specificity and accuracy compared to the European CAD software [81 vs. 57 % (p < 0.05) and 82 vs. 61 % (p < 0.05), respectively]. The sensitivity was 90 % for the Japanese CAD software and 83 % for the European CAD software (n.s). The CAD software trained with a Japanese database showed significantly higher performance than the corresponding CAD software trained with a European database for the analysis of bone scans from Japanese patients. These results could at least partly be caused by the physical differences between Japanese and European patients resulting in less influence of attenuation in Japanese patients and possible different judgement of count intensities of hot spots.
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  • Huang, Ya-Yao, et al. (författare)
  • A two‐center study for the quality control of [18F]FDG using FASTlab phosphate cassettes
  • 2016
  • Ingår i: Annals of Nuclear Medicine. - : Springer. - 0914-7187 .- 1864-6433. ; 30:8, s. 563-571
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: The GE FASTlab radiosynthesis module is routinely used for the production of [18F]FDG, utilizing the commercially available phosphate cassettes. Because of the observation of a white precipitate in the product vial before the product expiry time, we re-examined the quality of the produced [18F]FDG solution.Methods: Phosphate buffered [18F]FDG solution was synthesized on the FASTlab and analyzed at both National Taiwan University Hospital (NTUH) of Taiwan and Royal Brisbane and Women’s Hospital (RBWH) of Australia. In addition to the standard product quality control (QC), the concentration of aluminum (Al3+) as probable cause of the precipitations in the [18F]FDG solution was analyzed by inductively coupled plasma mass spectrometry (ICP-MS at RBWH) and inductively coupled plasma optical emission spectrometry (ICP-OES at NTUH), and using three semi-quantitative methods at NTUH, Advantec® Alumi Check Test Strip, Quantofix® Aluminum Test Strip and MColortest™ Aluminum Test kit.Results: The precipitates were observed in the [18F]FDG solution within 24 (NTUH) and 6 (RBWH) hours after the end of synthesis in 38–100 % of the batches, dependent on the batch of the FASTlab cassettes. Addition of metal-free HCl(aq) to aliquots of [18F]FDG containing precipitate, followed by ICP-MS analysis revealed Al3+ concentrations of 70–80 ppm. Al3+ concentrations of 10–12 ppm were detected in [18F]FDG batches that did not show any precipitation. In contrast, less than 5 ppm of the residual Al3+ was detected by semi-quantitative methods in all batches.Conclusion: The US (USP), British (BP), European (EP) and Japanese (JP) pharmacopeias demand that [18F]FDG for injection should be clear and particulate free within the given shelf-life/expiration time. To avoid Al-phosphate precipitation within the product expiry time, FASTlab citrate cassettes, rather than phosphate cassettes, should be used for [18F]FDG production. Although testing for Al3+ is not listed in the [18F]FDG monographs of the USP, BP and EP, residual Al3+ levels should be considered in the interests of patient safety.
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  • Miki, Takami, et al. (författare)
  • Brain uptake and safety of Flutemetamol F 18 injection in Japanese subjects with probable Alzheimer's disease, subjects with amnestic mild cognitive impairment and healthy volunteers
  • 2017
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 31:3, s. 260-272
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective This Phase 2 study assessed the performance of positron emission tomography (PET) brain images made with Flutemetamol F 18 Injection in detecting beta-amyloid neuritic plaques in Japanese subjects. Methods Seventy subjects (25 with probable Alzheimer's disease (pAD), 20 with amnestic mild cognitive impairment (aMCI), and 25 cognitively normal healthy volunteers[HVs]) underwent PET brain imaging after intravenous Flutemetamol F 18 Injection (185 MBq). Images were interpreted as normal or abnormal for neuritic plaque density by each of five non-Japanese and five Japanese readers who were blinded to clinical data. The primary efficacy analysis (based on HV and pAD data) was the agreement of the non-Japanese readers' image interpretations with the clinical diagnosis, resulting in estimates of positive percent agreement (PPA; based on AD subjects; similar to sensitivity) and negative percent agreement (NPA; based on HVs; similar to specificity). Secondary analyses included PPA and NPA for the Japanese readers; inter-reader agreement (IRA); intra-reader reproducibility (IRR); quantitative image interpretations (standardized uptake value ratios [SUVRs]) by diagnostic subgroup; test-retest variability in five pAD subjects; and safety. Results PPA was 92% for all non-Japanese readers and ranged from 88 to 92% for the Japanese readers. NPA ranged from 96 to 100% for both the non-Japanese readers and the Japanese readers. The majority image interpretations (the interpretations made independently by ae3 of 5 readers) resulted in PPA values of 92 and 92% and NPA values of 100 and 96% for the non-Japanese and Japanese readers, respectively. IRA and IRR were strong. Composite SUVR values (mean of multiple regional values) allowed clear differentiation between pAD subjects and HVs. Test-retest variability ranged from 1.14 to 2.27%, and test-retest agreement of the blinded visual interpretations was 100% for all readers. Flutemetamol F 18 Injection was generally well tolerated. Conclusion The detection of brain neuritic plaques in Japanese subjects using [F-18]Flutemetamol PET images gave results highly consistent with clinical diagnosis, with non-Japanese and Japanese readers giving similar results. Inter-reader agreement and intra-reader reproducibility were high for both sets of readers. Visual delineation of abnormal and normal scans was corroborated by quantitative assessment, with low test-retest variability.
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  • Nakajima, K., et al. (författare)
  • Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database
  • 2018
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 32:5, s. 303-310
  • Tidskriftsartikel (refereegranskat)abstract
    • 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. 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 Tc-99m-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. 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. The diagnostic ability of the ANN version 1.1 was improved by retraining using the Japanese database, particularly for identifying ischemia.
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11.
  • Senda, Michio, et al. (författare)
  • An exploratory efficacy study of the amyloid imaging agent [F-18]flutemetamol in Japanese Subjects
  • 2015
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 29:5, s. 391-399
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of the study presented was to investigate the brain uptake properties of the amyloid PET agent [F-18]flutemetamol in Japanese healthy controls and clinically probable Alzheimer's disease (AD) patients, and to make a comparison with the results of a previously performed study on Caucasian subjects. [F-18]flutemetamol was recently approved by the American Food and Drug Administration and the European Medicines Agency for visualization of amyloid in vivo. Since the first clinical study of [F-18]flutemetamol-an F-18 derivative of the PET tracer 11C-Pittsburgh Compound B targeting beta-amyloid--took place, several clinical studies have been performed, but few focusing on a Japanese population. In the Step A, three elderly healthy volunteers and three AD subjects underwent dynamic PET scanning 0-30 and 60-150 min after injection of 185 MBq [F-18]flutemetamol. The brain volume of distribution (V-T) was quantified using Logan's linear graphical analysis and as standardized uptake value ratios (SUVR) with a cerebellar reference. The optimal acquisition window was determined from brain time activity curves for Step B. In the Step B, 5 AD and 5 elderly healthy volunteers were scanned from 80 to 140 min after intravenous injection of [F-18]flutemetamol. The data from the two parts were pooled for estimation of overall efficacy. [F-18]Flutemetamol injection was shown to be safe-no serious adverse events were reported during this study. A simplified SUVR estimate of the uptake of [F-18]flutemetamol using a time window of 85-115 min post injection successfully discriminated AD cases from healthy volunteers. AD subjects showed an elevated tracer uptake in prefrontal cortex, the lateral temporal cortex and precuneus amongst other regions. No significant [F-18]flutemetamol PET differences could be seen between the Japanese AD cases in this study and those from an earlier Caucasian study, or between control subjects in Japanese and Caucasian studies. This study supports the use of [F-18]flutemetamol PET in Japanese population as a marker of the presence of fibrillar beta-amyloid. The lack of differences between the Japanese cohort and those from a previous Caucasian cohort supports the extrapolation of results from other Caucasian [F-18]flutemetamol PET studies to the Japanese population.
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  • Tokuda, O., et al. (författare)
  • Investigation of computer-aided diagnosis system for bone scans: a retrospective analysis in 406 patients
  • 2014
  • Ingår i: Annals of Nuclear Medicine. - : Springer Science and Business Media LLC. - 0914-7187 .- 1864-6433. ; 28:4, s. 329-339
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this study was to investigate the diagnostic ability of a completely automated computer-assisted diagnosis (CAD) system to detect metastases in bone scans by two patterns: one was per region, and the other was per patient. This study included 406 patients with suspected metastatic bone tumors who underwent whole-body bone scans that were analyzed by the automated CAD system. The patients were divided into four groups: a group with prostatic cancer (N = 71), breast cancer (N = 109), males with other cancers (N = 153), and females with other cancers (N = 73). We investigated the bone scan index and artificial neural network (ANN), which are parameters that can be used to classify bone scans to determine whether there are metastases. The sensitivities, specificities, positive predictive value (PPV), negative predictive value (NPV), and accuracies for the four groups were compared. Receiver operating characteristic (ROC) analyses of region-based ANN were performed to compare the diagnostic performance of the automated CAD system. There were no significant differences in the sensitivity, specificity, or NPV between the four groups. The PPVs of the group with prostatic cancer (51.0 %) were significantly higher than those of the other groups (P < 0.01). The accuracy of the group with prostatic cancer (81.5 %) was significantly higher than that of the group with breast cancer (68.6 %) and the females with other cancers (65.9 %) (P < 0.01). For the evaluation of the ROC analysis of region-based ANN, the highest Az values for the groups with prostatic cancer, breast cancer, males with other cancers, and females with other cancers were 0.82 (ANN = 0.4, 0.5, 0.6, 0.7, and 0.8), 0.83 (ANN = 0.7), 0.81 (ANN = 0.5), and 0.81 (ANN = 0.6), respectively. The special CAD system "BONENAVI" trained with a Japanese database appears to have significant potential in assisting physicians in their clinical routine. However, an improved CAD system depending on the primary lesion of the cancer is required to decrease the proportion of false-positive findings.
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