Article
Medicine, General & Internal
Alfonso Reginelli, Mariateresa Del Canto, Alfredo Clemente, Eduardo Gragnano, Fabrizio Cioce, Fabrizio Urraro, Erika Martinelli, Salvatore Cappabianca
Summary: Imaging assessment of liver lesions using DECT provides valuable additional information for predicting therapeutic response and guiding treatment decisions. DECT offers insights into tumor biology and microenvironment, especially in patients receiving antiangiogenic-based therapy. Early assessment of liver metastasis response to treatment with DECT could improve clinical decisions and treatment outcomes.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Endocrinology & Metabolism
Fiorella Palmas, Andreea Ciudin, Raul Guerra, Daniel Eiroa, Carina Espinet, Nuria Roson, Rosa Burgos, Rafael Simo
Summary: This study aims to evaluate the accuracy of a new method that combines CT imaging data with automatic software and artificial intelligence to estimate body composition in patients with obesity. The results show that this new method has high accuracy in estimating body composition in obese patients.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Medicine, General & Internal
Sergio Grosu, Korawan Vijittrakarnrung, Zhen J. Wang, Markus M. Obmann, Yuxin Sun, Mark D. Sugi, Benjamin M. Yeh
Summary: This study assessed the influence of different dual-energy CT scanner techniques on visceral-motion-related artifacts on the liver. The results showed that the severity of these artifacts can be significantly reduced by viewing 120-kVp-like images for dual-source and twin-beam scanners, as well as iodine images for fast kV-switching and dual-layer spectral detector scanners.
Article
Oncology
Yong Chen, Wenqi Xi, Weiwu Yao, Lingyun Wang, Zhihan Xu, Michael Wels, Fei Yuan, Chao Yan, Huan Zhang
Summary: In this study, a dual-energy computed tomography (DECT) derived radiomics model was developed and validated to predict peritoneal metastasis (PM) in gastric cancer (GC) patients. The R_IU model showed the best performance, outperforming the clinical model and human experts in predicting PM.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hyo-Jin Kang, Dong Ho Lee, Sae Jin Park, Joon Koo Han
Summary: The study found a significant correlation between the attenuation of VNC and TNC liver images, indicating that VNC may be used with different cutoff values of LAI to diagnose substantial hepatic steatosis in living liver donor candidates.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Medicine, General & Internal
Usman Mahmood, David D. B. Bates, Yusuf E. Erdi, Lorenzo Mannelli, Giuseppe Corrias, Christopher Kanan
Summary: This study demonstrates the value of using deep learning to map single energy CT scans to synthetic dual-energy CT material density iodine scans for liver segmentation. The results show that training with synthetic DECT scans can achieve good segmentation accuracy with less data on both the held-out and generalization test sets.
Article
Radiology, Nuclear Medicine & Medical Imaging
Honghong Luo, Liyan Zou, Qian Yang, Cuiyun Yuan, Kun Ma, Shangpo Yang, Dehong Luo, Chenbin Liu, Zhou Liu
Summary: Enhanced spectral CT measurements are of great importance in differentiating OBM from BI and show a high correlation with plain spectral CT measurements.
EUROPEAN RADIOLOGY
(2023)
Article
Health Care Sciences & Services
Veronique V. van Cooten, Daan J. de Jong, Frank J. Wessels, Pim A. de Jong, Madeleine Kok
Summary: This study aimed to assess liver enhancement in steatotic livers compared to non-steatotic livers on CT images, and to determine the contrast medium injection volume required for improving image quality during the portal venous phase. The results showed that liver enhancement was significantly lower in patients with hepatic steatosis, which may have implications for detectability and contrast dosing in CT imaging.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Medicine, General & Internal
Masakatsu Tsurusaki, Keitaro Sofue, Masatoshi Hori, Kosuke Sasaki, Kazunari Ishii, Takamichi Murakami, Masatoshi Kudo
Summary: Dual-energy computed tomography (DECT) is an advanced imaging technique that enhances the detection and characterization of hepatic abnormalities by acquiring data at two different energy levels. DECT provides fused images with improved contrast-to-noise ratio for better visualization of liver tumors. The use of contrast agents in DECT scanning improves image quality and reduces artifacts, making it a valuable tool for liver imaging.
Article
Oncology
Chijie Xu, Lingling Kong, Xiaoyi Deng
Summary: The utility of Rho/Z on dual-energy computed tomography (DECT) for differentiating between osteoblastic metastases (OBMs) and bone islands (BIs) was evaluated in this study. The results showed that DECT can provide quantitative values of Z, Rho, and DEI and has good performance in distinguishing between OBMs and BIs.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alice Le Berre, Tom Boeken, Caroline Caramella, Daniel Afonso, Caroline Nhy, Laetitia Saccenti, Anne-Marie Tardivel, Sophie Gerber, Adrien Frison Roche, Joseph Emmerich, Valeria Marini, Marc Zins, Sarah Toledano
Summary: This study analyzed the lung perfusion defects in COVID-19 patients suspected of pulmonary embolism and found a higher prevalence of PDs in COVID-19 patients compared to non-COVID-19 patients. COVID-19 patients exhibited heterogeneous PD patterns, while non-COVID-19 patients mostly showed homogeneous PDs. Most consolidations in COVID-19 patients exhibited PDs, highlighting the unique features of COVID-19 pneumonia in patients suspected of PE.
INSIGHTS INTO IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mengyuan Jing, Jiachen Sun, Huaze Xi, Zhuoheng Liu, Shuai Zhang, Liangna Deng, Tao Han, Bin Zhang, Xiaoqiang Lin, Junlin Zhou
Summary: This study explored the feasibility of using abdominal virtual non-contrast (VNC) images derived from energy spectrum CT to evaluate chemotherapy-related fatty liver disease (CRFLD) and reduce the radiation dose. The results showed that VNC imaging could be a reliable alternative to true non-contrast (TNC) imaging for the evaluation of CRFLD and can reduce the radiation dose by approximately 25%.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fides R. R. Schwartz, Darin P. P. Clark, Francesca Rigiroli, Kevin Kalisz, Benjamin Wildman-Tobriner, Sarah Thomas, Joshua Wilson, Cristian T. T. Badea, Daniele Marin
Summary: This study evaluated a novel algorithm for noise reduction in obese patients using dual-source dual-energy CT imaging. Seventy-nine patients were included in the retrospective study, comparing the standard clinical algorithm with two new algorithms in terms of image contrast-to-noise ratio, quality, and diagnostic comfort. The results showed that the test algorithm produced higher image quality and was preferred by readers.
EUROPEAN RADIOLOGY
(2023)
Article
Engineering, Biomedical
Kazuhiro Sato, Ryota Kageyama, Yuta Sawatani, Hirokazu Takano, Shingo Kayano, Yumi Takane, Haruo Saito
Summary: This study validates the accuracy of spectral curves obtained by an image-data-based algorithm and finds that accuracy is primarily reduced by scattered radiation rather than the beam-hardening effect.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2021)
Review
Medicine, General & Internal
Leona S. Alizadeh, Thomas J. Vogl, Stephan S. Waldeck, Daniel Overhoff, Tommaso D'Angelo, Simon S. Martin, Ibrahim Yel, Leon D. Gruenewald, Vitali Koch, Florian Fulisch, Christian Booz
Summary: This article discusses the technical principles and clinical applications of dual-energy computed tomography (DECT) in cardiothoracic imaging, with a focus on current developments and techniques. Different vendors have developed distinct hardware and software approaches for generating multi-energy datasets and various DECT applications, which have been clinically investigated in different fields. Recent literature reports have highlighted the benefits of DECT in oncology, trauma and emergency radiology, musculoskeletal imaging, and cardiovascular imaging. State-of-the-art applications such as virtual monoenergetic imaging, material decomposition, perfused blood volume imaging, and virtual non-contrast imaging have the potential to significantly improve cardiothoracic CT image workflows and enhance diagnostic accuracy and patient safety.
Article
Oncology
Philipp Mayer, Franziska Fritz, Marco Koell, Stephan Skornitzke, Frank Bergmann, Matthias M. Gaida, Thilo Hackert, Klaus Maier-Hein, Frederik B. Laun, Hans-Ulrich Kauczor, Lars Grenacher, Miriam Klauss, Wolfram Stiller
Summary: This study compares IVIM-derived f(tumor) and CT perfusion-derived BFtumor for evaluating tumor vascularity in PDAC, showing they can be equally applicable as quantitative imaging biomarkers for tumor perfusion evaluation and characterization. The correlation coefficients between IVIM and CT perfusion parameters along with histological microvessel parameters suggest their potential for clinical use in distinguishing tumors from upstream parenchyma effectively.
Article
Radiology, Nuclear Medicine & Medical Imaging
S. C. Brandelik, S. Skornitzke, T. Mokry, S. Sauer, W. Stiller, J. Nattenmuller, H. U. Kauczor, T. F. Weber, T. D. Do
Summary: VNCa images from DLCT at CaSupp index 65 showed the strongest correlation with MRI results and ADC values, indicating its potential utility in evaluating bone marrow infiltration, especially when MRI is not feasible.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marco Koell, Miriam Klauss, Stephan Skornitzke, Philipp Mayer, Franziska Fritz, Wolfram Stiller, Lars Grenacher
Summary: The study aimed to evaluate the diagnostic accuracy of perfusion CT parameters for distinguishing pancreatic adenocarcinoma from normal tissue. Perfusion parameters obtained by different methods are not interchangeable, and specific cut-off values must be determined for each method and each parameter. PS measured with the Patlak method showed significantly lower diagnostic accuracy compared to other parameters.
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN
(2021)
Article
Physiology
Lin Zhu, Julia Duerr, Zhe Zhou-Suckow, Willi Wagner, Oliver Weinheimer, Johanna Salomon, Dominik Leitz, Philip Konietzke, Hong Yu, Maximilian Ackermann, Wolfram Stiller, Hans-Ulrich Kauczor, Marcus A. Mall, Mark O. Wielpuetz
Summary: This study evaluated the use of mu CT for longitudinal quantification of muco-obstructive lung disease in beta-epithelial Na+ channel overexpressing mice and the effects of neutrophil elastase knockout on its progression. The results demonstrate that mu CT is sensitive to detect the onset and progression of muco-obstructive lung disease and the effects of genetic deletion of NE on airways and lung parenchyma morphology in these mice.
AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rene Michael Mathy, Franziska Fritz, Philipp Mayer, Miriam Klauss, Lars Grenacher, Wolfram Stiller, Hans-Ulrich Kauczor, Stephan Skornitzke
Summary: The study suggests that the use of dual-energy contrast-enhanced CT can potentially aid in differentiating local recurrence from non-specific postoperative soft tissue formation. By measuring iodine concentrations in the early venous phase and CT numbers in 120 kV(p)-equivalent images, more accurate diagnosis of local recurrence can be achieved.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Friderike K. Longarino, Thomas Tessonnier, Stewart Mein, Semi B. Harrabi, Jurgen Debus, Wolfram Stiller, Andrea Mairani
Summary: Pretreatment computed tomography is crucial for particle therapy planning. The study compared SPR predictions between DLCT and SECT, showing potential benefits for brain tumor patients with DLCT-based planning. Inhomogeneous anatomical regions exhibited significant range shifts and dose differences between DLCT and SECT. The study suggests further investigation in larger cohorts for clinical relevance.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2022)
Article
Nutrition & Dietetics
Jule Filler, Ricarda von Kruechten, Nina Wawro, Lisa Maier, Roberto Lorbeer, Johanna Nattenmueller, Barbara Thorand, Fabian Bamberg, Annette Peters, Christopher L. Schlett, Jakob Linseisen, Susanne Rospleszcz
Summary: Iron-related disorders of the liver can result in serious health conditions, such as liver cirrhosis. This study aimed to assess the association between habitual diet and liver iron content (LIC) in 303 participants. The results showed that there are sex-specific associations of dietary intake with LIC, with alcohol, fiber, and potassium playing a considerable role in liver iron metabolism.
Article
Nutrition & Dietetics
Manuela Spurny, Yixin Jiang, Solomon A. Sowah, Tobias Nonnenmacher, Ruth Schuebel, Romy Kirsten, Theron Johnson, Oyunbileg von Stackelberg, Cornelia M. Ulrich, Rudolf Kaaks, Hans-Ulrich Kauczor, Tilman Kuehn, Johanna Nattenmueller
Summary: This study investigated the effects of dietary weight loss on kidney fat content and its connection to kidney function and metabolism. The results showed that kidney sinus fat (KSF) significantly decreased during weight loss, while cortex fat (KCF) remained unchanged. KSF was correlated with visceral fat, subcutaneous fat, and liver fat, suggesting that KSF may be the metabolic relevant ectopic fat depot of the kidney.
Article
Genetics & Heredity
Solomon A. Sowah, Alessio Milanese, Ruth Schuebel, Jakob Wirbel, Ece Kartal, Theron S. Johnson, Frank Hirche, Mirja Grafetstaetter, Tobias Nonnenmacher, Romy Kirsten, Marina Lopez-Nogueroles, Agustin Lahoz, Kathrin Schwarz, Jurgen G. Okun, Cornelia M. Ulrich, Johanna Nattenmuller, Arnold von Eckardstein, Daniel Mueller, Gabriele Stangl, Rudolf Kaaks, Tilman Kuehn, Georg Zeller
Summary: This study analyzed the changes in gut microbiota in overweight and obese adults under intermittent and continuous calorie restriction diets. The results showed that both diets led to weight loss, but there were no significant differences in gut microbiome composition between the two groups. Overall weight loss was associated with metabolic improvements, but not with changes in the gut microbiome. However, there were significant correlations between gut bacterial families and metabolic biomarkers, anthropometric measures, and dietary composition.
Article
Oncology
Friderike K. Longarino, Antonia Kowalewski, Thomas Tessonnier, Stewart Mein, Benjamin Ackermann, Juergen Debus, Andrea Mairani, Wolfram Stiller
Summary: In this study, the use of the Spectral CT 7500 as an alternative to conventional single-energy CT for patient-specific SPR prediction in particle therapy treatment planning was investigated. The results showed that DLCT reduces uncertainty in SPR predictions compared to SECT and DLCT-predicted dose distributions have higher passing rates.
FRONTIERS IN ONCOLOGY
(2022)
Article
Physiology
Sibylle Stoll, Solomon A. Sowah, Matthias A. Fink, Tobias Nonnenmacher, Mirja E. Graf, Theron Johnson, Christopher L. Schlett, Oyunbileg von Stackelberg, Romy Kirsten, Fabian Bamberg, Jeffrey Keller, Cornelia M. Ulrich, Rudolf Kaaks, Hans-Ulrich Kauczor, Fabian Rengier, Tilman Kuhn, Johanna Nattenmueller
Summary: Obesity-related metabolic disorders are associated with aortic dilatation. This study found that weight loss is associated with a reduction in thoracic and abdominal aortic diameters, and there is a nominal reduction during the follow-up period. Aortic diameters are positively correlated with weight, adipose tissue, glucose, HbA1c, and blood pressure.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sebastian Prinz, Jacob M. Murray, Christian Strack, Johanna Nattenmueller, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Stephanie Badde, Jens Kleesiek
Summary: This study compared different methods for measuring hepatic steatosis and found that the novel method showed a high level of agreement with established methods. The results also showed that automated methods provided comparable results to manual methods, suggesting that automation can be a valuable tool for diagnosis.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Multidisciplinary Sciences
Tobias Haueise, Fritz Schick, Norbert Stefan, Christopher L. Schlett, Jakob B. Weiss, Johanna Nattenmueller, Katharina Goebel-Gueniot, Tobias Norajitra, Tobias Nonnenmacher, Hans -Ulrich Kauczor, Klaus H. Maier-Hein, Thoralf Niendorf, Tobias Pischon, Karl-Heinz Joeckel, Lale Umutlu, Annette Peters, Susanne Rospleszcz, Thomas Kroencke, Norbert Hosten, Henry Voelzke, Lilian Krist, Stefan N. Willich, Fabian Bamberg, Juergen Machann
Summary: This study demonstrates the feasibility of deep learning-based image segmentation for the assessment of adipose tissue and spatial distribution of visceral and subcutaneous fat in a large population-based cohort in Germany. The results show significant differences in fat distribution between genders and age/body mass index-related displacements. Deep learning-based image segmentation provides a robust and fast quantification of adipose tissue and assessment of its spatial distribution in large cohort studies.
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthias Jung, Susanne Rospleszcz, Maximilian T. Loeffler, Sven S. Walter, Elke Maurer, Pia M. Jungmann, Annette Peters, Johanna Nattenmueller, Christopher L. Schlett, Fabian Bamberg, Lena S. Kiefer, Thierno D. Diallo
Summary: This study assessed the association between lumbar bone marrow adipose tissue fat fraction (BMAT-FF) and paraspinal muscle proton density fat fraction (PDFF) with intervertebral disc degeneration (IVDD). The results showed a significant correlation between BMAT-FF and PDFF, and both factors were found to be independent and additive risk factors for IVDD. The findings suggest that quantitative MRI measurements of paraspinal myosteatosis and vertebral bone marrow fatty infiltration can serve as imaging biomarkers to assess the individual risk for IVDD.
EUROPEAN RADIOLOGY
(2023)
Article
Multidisciplinary Sciences
Philip Konietzke, Hauke H. Steentoft, Willi L. Wagner, Jonas Albers, Christian Dullin, Stephan Skornitzke, Wolfram Stiller, Tim F. Weber, Hans-Ulrich Kauczor, Mark O. Wielpuetz
Summary: The study found that spectral-detector computed tomography (SDCT) can differentiate between atelectasis and pneumonia based on the parameters C-iodine and Z(eff). However, these parameters did not provide added value compared to CT number measurement on CON120kVp images. Additionally, contrast media is still necessary for differentiation based on quantitative SDCT parameters.