Article
Biochemical Research Methods
Palak Wadhwa, Kris Thielemans, Nikos Efthimiou, Kristen Wangerin, Nicholas Keat, Elise Emond, Timothy Deller, Ottavia Bertolli, Daniel Deidda, Gaspar Delso, Michel Tohme, Floris Jansen, Roger N. Gunn, William Hallett, Charalampos Tsoumpas
Summary: This research demonstrates successful computational and physical modelling of the PET-MR system for image acquisition, generating images comparable to those from the manufacturer; the new software developments will be integrated into STIR, providing researchers worldwide with opportunities to establish and expand their image reconstruction methods; by modelling all effects within the system matrix, PET images showing the metabolic uptake of administered radiopharmaceuticals were reconstructed accurately.
Article
Physiology
Hunor Kertesz, Thomas Beyer, Vladimir Panin, Walter Jentzen, Jacobo Cal-Gonzalez, Alexander Berger, Laszlo Papp, Peter L. Kench, Deepak Bharkhada, Jorge Cabello, Maurizio Conti, Ivo Rausch
Summary: A new approach for spatially variant and tissue-dependent positron range correction during iterative PET image reconstruction was developed and evaluated in this study. The method improved image contrast and spatial resolution by correcting positron range using material-specific point-spread functions.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao, Dinggang Shen
Summary: This article proposes a learning-based method to reconstruct high-dose positron emission tomography (PET) images from low-dose PET images and corresponding total-body computed tomography (CT) images. The proposed hierarchical framework can consistently improve the performance of all body parts and outperforms the state-of-the-art methods in single-photon emission computed tomography (SPET) image reconstruction, with a peak signal-to-noise ratio (PSNR) of 30.6 dB for total-body PET images.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Information Systems
Kishore Krishnagiri Manoj Doss, Pei En Mion, Yu-Chieh Jill Kao, Tsung-Ter Kuo, Jyh-Cheng Chen
Summary: This study evaluated the performance of the Bruker sequential micro-PET/MRI scanner according to the NEMA NU 4-2008 standards. The results showed that the scanner had high sensitivity, good spatial resolution, low scatter fraction, and good image quality, indicating its suitability for preclinical imaging studies.
Article
Radiology, Nuclear Medicine & Medical Imaging
Haiyan Wang, Zhenxing Huang, Qiyang Zhang, Dongfang Gao, Zhanglei OuYang, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu
Summary: The proposed FDG-guided KEM algorithm effectively utilizes and compensates for tissue metabolism information obtained from dual-tracer PET to maximize the advantages of PET imaging.
Article
Engineering, Electrical & Electronic
Pablo Galve, Jose Manuel Udias, Alejandro Lopez-Montes, Fernando Arias-Valcayo, Juan Jose Vaquero, Manuel Desco, Joaquin L. Herraiz
Summary: A novel method using super-iterations to exceed the resolution-noise limits in PET imaging was proposed. Improvement of approximately 10% in resolution and recovery coefficient was achieved while maintaining the same noise level. Qualitative results confirmed the enhancement in image quality from the proposed method.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2021)
Article
Engineering, Biomedical
Seung Kwan Kang, Jae Sung Lee
Summary: This study proposes a Bowsher prior based on the l(1)-norm and an iteratively reweighting scheme for Anatomy-Guided regularized PET image reconstruction, which overcomes the limitations of the original Bowsher method and improves small lesion detection and contrast enhancement.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Biomedical
Changhui Jiang, Xu Zhang, Na Zhang, Qiyang Zhang, Chao Zhou, Jianmin Yuan, Qiang He, Yongfeng Yang, Xin Liu, Hairong Zheng, Wei Fan, Zhanli Hu, Dong Liang
Summary: This study proposed a new method based on deep learning to generate synthetic attenuation-corrected PET and T1-weighted MR images directly, reducing the frequency of additional anatomical imaging scans during PET imaging and potentially improving doctors' clinical diagnosis efficiency.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Jianfeng Guo, C. Ross Schmidtlein, Andrzej Krol, Si Li, Yizun Lin, Sangtae Ahn, Charles Stearns, Yuesheng Xu
Summary: We investigated the imaging performance of a fast convergent ordered-subsets algorithm with subiteration-dependent preconditioners (SDPs) for positron emission tomography (PET) image reconstruction. The study showed that the SDP-BSREM algorithms significantly improve the convergence rate compared to conventional BSREM and a vendor's implementation as Q.Clear, providing faster convergence to the same objective function value.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Computer Science, Interdisciplinary Applications
Jinyi Qi, Bangyan Huang
Summary: Positron emission tomography (PET) is widely used in clinical and preclinical applications. This study proposes a new image reconstruction method to generate high-resolution positronium lifetime images using existing time-of-flight (TOF) PET scanners, overcoming the challenge of low spatial resolution. The proposed method allows for better understanding of tissue microenvironment and facilitates the study of disease mechanisms and treatment selection.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhaoheng Xie, Tiantian Li, Xuezhu Zhang, Wenyuan Qi, Evren Asma, Jinyi Qi
Summary: The study proposed a novel co-learning convolutional neural network for PET image reconstruction, integrating anatomical information from PET/CT image pairs to improve image quality.
Article
Computer Science, Interdisciplinary Applications
Mohamed Abouhawwash, Adam M. Alessio
Summary: This study proposes a multi-objective optimization algorithm for PET image reconstruction using a genetic algorithm to generate solutions optimal for multiple tasks. The method demonstrates improved objective function values compared to conventional approaches and identifies a diverse set of solutions in the multi-objective function space.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Neurosciences
Alan Miranda, Daniele Bertoglio, Sigrid Stroobants, Steven Staelens, Jeroen Verhaeghe
Summary: The linear parametric neurotransmitter positron emission tomography (lp-ntPET) kinetic model can be used to detect transient changes (activation) in endogenous neurotransmitter levels. Preclinical PET scans in awake animals can be performed to investigate neurotransmitter transient changes. Here we use the spatiotemporal kernel reconstruction (Kernel) for noise reduction in dynamic PET, and lp-ntPET kinetic modeling.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Computer Science, Information Systems
Bo-Hye Choi, Donghwi Hwang, Seung-Kwan Kang, Kyeong-Yun Kim, Hongyoon Choi, Seongho Seo, Jae-Sung Lee
Summary: The lack of physically measured attenuation maps (mu-maps) in brain-dedicated stand-alone PET scanners is a challenge, but the study successfully developed a transmission-less attenuation correction method for A beta brain PET imaging using a deep learning approach. Among the three U-net models tested, the 3D U-net model showed the best performance in reducing noise and artifacts, significantly improving the accuracy of mu-map generation compared to traditional MLAA method.
Article
Engineering, Biomedical
Yang Lv, Chen Xi
Summary: In this study, a deep progressive learning (DPL) method is proposed for PET image reconstruction to bridge the gap between low quality and high quality images through two learning steps. The experimental results show promising outcomes in reducing noise and improving contrast of PET images, with potential versatility for various imaging and image processing problems.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Clinical Neurology
Moshgan Amiri, Patrick M. Fisher, Federico Raimondo, Annette Sidaros, Melita Cacic Hribljan, Marwan H. Othman, Ivan Zibrandtsen, Simon A. Albrechtsen, Ove Bergdal, Adam Espe Hansen, Christian Hassager, Joan Lilja S. Hojgaard, Elisabeth Waldemar Jakobsen, Helene Ravnholt Jensen, Jacob Moller, Vardan Nersesjan, Miki Nikolic, Markus Harboe Olsen, Sigurdur Thor Sigurdsson, Jacobo D. Sitt, Christine Solling, Karen Lise Welling, Lisette M. Willumsen, John Hauerberg, Vibeke Andree Larsen, Martin Ejler Fabricius, Gitte Moos Knudsen, Jesper Kjaergaard, Kirsten Moller, Daniel Kondziella
Summary: This study aimed to assess the accuracy of fMRI and EEG in identifying residual consciousness in patients with acute disorders of consciousness (DoC) in the intensive care unit (ICU). The study found that a combination of fMRI and EEG features can predict the level of consciousness in patients, which is important for clinical decision-making.
Article
Radiology, Nuclear Medicine & Medical Imaging
Esben Andreas Carlsen, Mathias Loft, Annika Loft, Dorota Czyzewska, Mikkel Andreassen, Seppo W. Langer, Ulrich Knigge, Andreas Kjaer
Summary: In this study, 68Ga-NODAGA-E[c(RGDyK)]2 PET/CT was used to image integrin av33 in patients with neuroendocrine neoplasms (NENs). It was found that high uptake was associated with a poorer prognosis. This suggests that 68Ga-NODAGA-E[c(RGDyK)]2 PET/CT may serve as a tool for predicting patients eligible for treatments targeting integrin av33.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Article
Chemistry, Medicinal
Marius Mueller, Vladimir Shalgunov, Lars Hvass, Jesper T. Jorgensen, Vasko Kramer, Markus Staudt, Umberto Maria Battisti, Andreas Kjaer, Matthias M. Herth
Summary: This article aims to develop the first small molecule HER2 PET imaging probe based on tucatinib that can penetrate the blood-brain barrier. Despite its high affinity, no significant tumor accumulation was observed for [11C]tucatinib, possibly due to its high lipophilicity. Chemical modifications are required to increase the polarity of [11C]tucatinib for tumor imaging.
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
(2023)
Article
Multidisciplinary Sciences
Yvonne Adams, Anne Skovsbo Clausen, Peter Ostrup Jensen, Malin Lager, Peter Wilhelmsson, Anna J. Henningson, Per-Eric Lindgren, Daniel Faurholt-Jepsen, Helene Mens, Peter Kraiczy, Kasper Norskov Kragh, Thomas Bjarnsholt, Andreas Kjaer, Anne-Mette Lebech, Anja R. Jensen
Summary: We screened a group of low-passage Borrelia burgdorferi s.l. isolates using a novel human-derived 3D blood-brain barrier (BBB)-organoid model. The results showed that human-derived BBB-organoids can be invaded by Borrelia spirochetes, leading to swelling and loss of structural integrity. The BBB-organoid model highlights the tropism between B. burgdorferi s.l. genospecies and their ability to cross the blood-brain barrier, contributing to central nervous system infection.
Review
Oncology
Gitte Dam, Henning Gronbaek, Anna Sundlov, Johan Botling, Anders Sundin, Rene Horsleben Petersen, Staffan Welin, Espen-Thiis Evensen, Halfdan Sorbye, Elizaveta Tabaksblat, Anne Kirstine Arveschoug, Jann Mortensen, Andreas Kjaer, Ulrich Knigge, Eva Tiensuu Janson, Seppo W. Langer
Summary: Lung neuroendocrine neoplasms (NEN) are a heterogeneous group of tumors different from common lung cancers in terms of pathology, clinical behavior, and prognosis. Recent advances and new methods in diagnosis and treatment of lung-NEN patients are summarized in these Nordic guidelines. These guidelines are designed to be useful for clinicians in their daily practice and reflect the current state of the art. Small cell lung carcinoma (SCLC) is not covered in these guidelines.
Article
Otorhinolaryngology
Eva Lykke, Anders Christensen, Karina Juhl, Ulla Feldt-Rasmussen, Mette Friberg Hitz, Sannia Mia Svenningsen Sjostedt, Christoffer Holst Hahn, Ditte Maria Kraik Svensson, Karoline Kanstrup Springborg, Mads Georg Stage, Gitte Bjorn Hvilsom, Linda Maria Hilsted, Morten Dahl, Giedrius Lelkaitis, Andreas Kjaer, Preben Homoe, Christian von Buchwald
Summary: The purpose of this study was to investigate whether near-infrared autofluorescence image guidance can reduce the incidence of hypoparathyroidism in total thyroidectomy. The results showed that near-infrared autofluorescence imaging can improve the detection rate of parathyroid glands and reduce the rate of hypoparathyroidism, but the difference was not statistically significant. Further studies are needed to confirm the use of near-infrared autofluorescence imaging as an auxiliary tool for parathyroid gland identification.
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
(2023)
Article
Otorhinolaryngology
Anders Christensen, Irene Wessel, Birgitte Wittenborg Charabi, Karina Juhl, Katalin Kiss, Giedrius Lelkaitis, Jann Mortensen, Andreas Kjaer, Christian von Buchwald, Jesper Filtenborg Tvedskov
Summary: The aim of this study was to investigate the diagnostic performance of bimodal optical and radio-guided sentinel node biopsy (SNB) for oral squamous cell carcinoma (OSCC) sub-sites in the anterior oral cavity. A total of 50 cN0 OSCC patients scheduled for SNB were prospectively studied and injected with the tracer complex Tc99m:ICG:Nacocoll. Optical imaging appeared to be an effective tool for real-time SN identification unaffected by possible interference from the injection.
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
(2023)
Article
Medicine, Research & Experimental
Sofie Jespersen, Peter Plomgaard, Sten Madsbad, Adam Espe Hansen, Thomas Bandholm, Bente Klarlund Pedersen, Christian Ritz, Nina Weis, Rikke Krogh-Madsen
Summary: This study aims to investigate the effect of exercise on chronic hepatitis B and hepatic steatosis. A 12-week aerobic exercise training program will be conducted, with an intervention group and a control group. The study will evaluate whether exercise can reduce liver fat content and assess blood markers, liver status, inflammatory markers, etc. If the results demonstrate that exercise can improve physical indicators in patients with hepatitis B, exercise may become a part of hepatitis treatment.
Article
Multidisciplinary Sciences
Constance E. Grandjean, Sune F. Pedersen, Camilla Christensen, Altea Dibenedetto, Thomas Eriksen, Tina Binderup, Andreas Kjaer
Summary: Atherosclerosis is a chronic inflammatory disease that can lead to cardiovascular events. This study evaluated and compared three different PET tracers and their uptake in the arterial vessel wall, as well as compared gene expression alterations.
SCIENTIFIC REPORTS
(2023)
Article
Endocrinology & Metabolism
Mikkel Jurgens, Morten Schou, Philip Hasbak, Andreas Kjaer, Emil Wolsk, Bo Zerahn, Niels H. Brandt-Jacobsen, Peter Gaede, Peter Rossing, Jens Faber, Silvio E. Inzucchi, Finn Gustafsson, Caroline Kistorp
Summary: Empagliflozin has been found to reduce measured glomerular filtration rate (mGFR), estimated plasma volume (PV), and estimated extracellular volume (ECV) in patients with type 2 diabetes (T2D) and high risk of cardiovascular events. The 13-week randomized controlled trial showed a decrease in mGFR, ECV, and PV with the use of the drug.
DIABETES OBESITY & METABOLISM
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jakob M. Moller, Lars Boesen, Adam Espe Hansen, Karen Kettles, Vibeke Logager
Summary: The purpose of this study was to quantify the variability of ADC and investigate if there were significant differences in ADC between MRI systems and sequences. A phantom model with fixed ADC values was tested in six MRI systems using different sequences. Statistical analysis revealed significant differences in ADC measurements between vendors, while the variation of ADC between MRI systems and sequences was deemed clinically irrelevant.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Asger Wretlind, Viktor Rotbain Curovic, Andressa de Zawadzki, Tommi Suvitaival, Jin Xu, Emilie Hein Zobel, Bernt Johan von Scholten, Rasmus Sejersten Ripa, Andreas Kjaer, Tine Willum Hansen, Tina Vilsboll, Henrik Vestergaard, Peter Rossing, Cristina Legido-Quigley
Summary: Treatment with liraglutide can reduce the levels of C16 ceramide and C24:1 ceramide, which are associated with cardiovascular disease (CVD) risk.
LIPIDS IN HEALTH AND DISEASE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mads Lawaetz, Tina Binderup, Anders Christensen, Karina Juhl, Giedrius Lelkaitis, Eva Lykke, Line Knudsen, Christian von Buchwald, Andreas Kjaer
Summary: This study established oral squamous cell carcinoma (OSCC) PDX models and evaluated the effectiveness of [Cu-64]Cu-uPAR-PET/CT for tumor imaging in these models.
MOLECULAR IMAGING AND BIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Danna Kamstrup Sell, Anders Wilgaard Sinkjaer, Babak Bakhshinejad, Andreas Kjaer
Summary: Mixing multiple peptide libraries with different displayed peptide characteristics can increase the throughput of selection. This study used next-generation sequencing to investigate the amplification capacity of three widely used commercial phage display peptide libraries and found that the length and cyclic conformation of displayed peptides can affect the propagation capacity of the libraries. Additionally, the Ph.D.(TM)-7 library showed higher propagation capacity. These findings provide evidence for considering peptide characteristics when pooling multiple combinatorial libraries for phage display selection.
Article
Medicine, General & Internal
Sabrina Honore d'Este, Flemming Littrup Andersen, Julie Bjerglund Andersen, Annika Loft Jakobsen, Eunice Sanchez Saxtoft, Christina Schulze, Naja Liv Hansen, Kim Francis Andersen, Michala Holm Reichkendler, Liselotte Hojgaard, Barbara Malene Fischer
Summary: We conducted a systematic evaluation on the diagnostic performance of LAFOV PET/CT with increasing acquisition time. The study showed that image noise, image quality, lesion detection, and lesion classification all improved significantly with increasing acquisition time. With a total scan time of less than 5 minutes, a recommended imaging acquisition protocol for LAFOV PET/CT is a minimum of 180 seconds to a maximum of 300 seconds after injection of 3 MBq/kg 2-[18F]fluoro-2-deoxy-D-glucose.