Article
Oncology
Xiaotao Huang, Mingzan Zhuang, Shuai Yang, Ying Wang, Qiaodan Liu, Xiwei Xu, Mei Xiao, Yingpeng Peng, Ping Jiang, Wenhua Xu, Shuanshuan Guo, Rong Wang, Wei Wei, Guihua Zhong, Yuling Zhou, Shunli Peng, Xuanzi Li, Jianqi Cui, Siyang Wang, Yaqin Zhang, Zhigang Liu
Summary: This prospective study explored the advantage of dynamic PET/CT imaging in characterizing nasopharyngeal carcinoma (NPC). The quantitative statistical analysis showed the potential of Ki value in distinguishing NPC from non-NPC with high sensitivity and specificity, and its correlation with clinical features.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shulin Yao, Tao Feng, Yizhang Zhao, Runze Wu, Ruimin Wang, Shina Wu, Can Li, Baixuan Xu
Summary: Parametric imaging using the Patlak model has been shown to improve lesion detectability and specificity. A simplified scanning protocol that combines population-based and model-based input functions was proposed, with errors in the population-based function only affecting the global scale of the Patlak images. The quantitative impact can be predicted using proposed formulas.
Article
Radiology, Nuclear Medicine & Medical Imaging
Stephan Skornitzke, Neha Vats, Philipp Mayer, Hans-Ulrich Kauczor, Wolfram Stiller
Summary: This study provides a quantitative meta-analysis of pancreatic CT perfusion studies, investigating the choice of study parameters, the ability to differentiate pancreatic diseases quantitatively, and the influence of acquisition and reconstruction parameters on reported results. The results showed significant differences in perfusion measurements between different pathologies despite the heterogeneity of study parameters. Statistical analysis identified the most influential parameters for future optimization and standardization of acquisition protocols.
INSIGHTS INTO IMAGING
(2023)
Article
Medicine, General & Internal
Inga Zaboriene, Giedrius Barauskas, Antanas Gulbinas, Povilas Ignatavicius, Saulius Lukosevicius, Kristina Zviniene
Summary: This study found that blood flow (BF) and blood volume (BV) values are significant independent diagnostic criteria for the presence of PDAC, with a probability of 97.69% when both values exceed the determined cutoff point. Basic CT perfusion parameters are valuable in providing the radiological diagnosis of PDAC.
Article
Biophysics
Stefan Hindel, Lena Heuchel, Lutz Luedemann
Summary: This study evaluated a tracer kinetic model for skeletal muscle perfusion and microvascular residue time kurtosis, validated through dynamic contrast-enhanced MRI. The decreasing Mittag-Leffler function model showed comparable results with a two-compartment model. The derivation order of the model, alpha, could be interpreted as a measure of microvascular RTK, which decreased significantly with increasing blood flow.
PHYSIOLOGICAL MEASUREMENT
(2021)
Article
Multidisciplinary Sciences
Stephan Skornitzke, Philipp Mayer, Wolfram Stiller, Hans-Ulrich Kauczor
Summary: By using bolus tracking with appropriate acquisition delay and dual-energy CT Iodine maps, it is possible to replace CT perfusion maps at reduced radiation exposure. This study aimed to evaluate the optimal acquisition delays of DECT for the replacement of parameter maps calculated with the Patlak model in pancreatic adenocarcinoma by corresponding iodine maps. DECT iodine maps showed significant correlation with perfusion parameters for acquisition delays above 1.5 s for blood volume and above 9.0 s for permeability.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alessandra Maiuro, Giada Ercolani, Francesca Di Stadio, Amanda Antonelli, Carlo Catalano, Lucia Manganaro, Silvia Capuani
Summary: This study aimed to investigate the potential of the two-perfusion model in differentiating between normal and abnormal placentas. The results showed that there were correlations between the parameters of the two-perfusion model and the pathological conditions of the placenta in different regions. The conclusion is that the two-perfusion model provides complementary information to IVIM parameters and may be helpful in identifying placenta impairment.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Biochemistry & Molecular Biology
Anuradha Kirtonia, Amit Kumar Pandey, Balaji Ramachandran, Durga Prasad Mishra, David W. Dawson, Gautam Sethi, Trivadi S. Ganesan, H. Phillip Koeffler, Manoj Garg
Summary: LAMC2 plays a crucial role in the tumorigenesis of PDAC by repressing epithelial-mesenchymal transition and modulating the EGFR/ERK1/2/AKT/mTOR axis, thus inhibiting PDAC tumor growth and metastasis.
CELLULAR AND MOLECULAR LIFE SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hui Yuan, Guojin Zhang, Taotao Sun, Jingyun Ren, Qing Zhang, Zeyin Xiang, Entao Liu, Lei Jiang
Summary: The kinetic features of F-18-PSMA-11 were visualized in healthy subjects and patients with prostate cancer using total-body dynamic PET scans. F-18-PSMA-11 showed rapid accumulation in prostate cancer tissue as early as 45 seconds after injection. It was quickly cleared from blood circulation and mainly excreted through the urinary system. High and rapid radiotracer accumulation was observed in the liver, spleen, lacrimal glands, and salivary glands, whereas gradual accumulation was observed in the skeleton. Prostate cancer tissue is visible in parametric images, with the best visualization in DV and Patlak Ki images. Patlak Ki showed a good correlation with 2TC K-i values and less noise. A scanning time point of 30-35 minutes post injection is suggested for a better tumor to background ratio.
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhaobang Liu, Ming Li, Changjing Zuo, Zehong Yang, Xiaokai Yang, Shengnan Ren, Ye Peng, Gaofeng Sun, Jun Shen, Chao Cheng, Xiaodong Yang
Summary: The study aimed to create a radiomics-based prediction model using dual-time PET/CT imaging for the classification of PDAC and AIP lesions. The model showed promising performance for discriminating between benign AIP and malignant PDAC lesions, indicating its potential as a diagnostic tool for clinical decision-making.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yamin Wan, Hui Hao, Yunjin Chen, Yifan Zhang, Qingmei Yue, Zhizhen Li
Summary: This study demonstrates that the combination of one-stop spectral CT and perfusion scanning improves the detection rate of pNETs, with relatively low radiation dose.
INSIGHTS INTO IMAGING
(2022)
Article
Medicine, General & Internal
Sun Young Choi, Kyung Ah Kim, Woosun Choi, Yohan Kwon, Soo Buem Cho
Summary: The study investigated the utility of CBCT-based liver perfusion mapping in assessing treatment response and predicting outcomes in HCC patients undergoing TACE. Results showed that CBCT-based liver perfusion mapping and PBV values were significant in the analysis and demonstrated high sensitivity and specificity in predicting residual tumors. The study highlights the importance of these imaging techniques in enhancing the efficacy of TACE in HCC patients.
JOURNAL OF CLINICAL MEDICINE
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Yuko Nakamura, Toru Higaki, Yukiko Honda, Fuminari Tatsugami, Chihiro Tani, Wataru Fukumoto, Keigo Narita, Shota Kondo, Motonori Akagi, Kazuo Awai
Summary: This review examines the use of advanced imaging techniques such as dual-energy CT, perfusion CT, and artificial intelligence for the precise characterization of liver tumors, treatment response quantification, and overall survival rate prediction in hepatocellular carcinoma (HCC) patients. The advantages and disadvantages of conventional hepatic dynamic CT imaging are discussed, along with the clinical applications and limitations of dual-energy and perfusion CT in the context of HCC. Additionally, the utility of artificial intelligence-based methods for diagnosing HCC is explored.
Article
Radiology, Nuclear Medicine & Medical Imaging
Neda Zaker, Kamal Haddad, Reza Faghihi, Hossein Arabi, Habib Zaidi
Summary: This study investigated the feasibility of estimating Patlak-derived influx rate constant (K-i) using a deep learning model trained with SUV and/or dynamic PET image series. The results showed that the model with SUV plus passes 13 to 9 as input had the lowest quantification bias, indicating the potential of a direct deep learning-based approach for estimating K-i-Patlak parametric maps.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2022)
Article
Medicine, General & Internal
Matthias Weissinger, Max Atmanspacher, Werner Spengler, Ferdinand Seith, Sebastian Von Beschwitz, Helmut Dittmann, Lars Zender, Anne M. Smith, Michael E. Casey, Konstantin Nikolaou, Salvador Castaneda-Vega, Christian la Fougere
Summary: The study aimed to evaluate the diagnostic performance of dynamic whole-body PET scans in the evaluation of indeterminate lung lesions and NSCLC staging. The results showed that metabolic rate quantification is a reliable method for detecting malignant lung tumors, lymph node metastases, and distant metastases, at least as accurately as the established SUV or dual-time-point PET scans.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Engineering, Biomedical
Friderike K. Faller, Stewart Mein, Benjamin Ackermann, Juergen Debus, Wolfram Stiller, Andrea Mairani
PHYSICS IN MEDICINE AND BIOLOGY
(2020)
Article
Radiology, Nuclear Medicine & Medical Imaging
Thuy Duong Do, Stephan Rheinheimer, Hans-Ulrich Kauczor, Wolfram Stiller, Tim Weber, Stephan Skornitzke
EUROPEAN RADIOLOGY
(2020)
Article
Radiology, Nuclear Medicine & Medical Imaging
Stephan Skornitzke, Hans-Ulrich Kauczor, Wolfram Stiller
EUROPEAN JOURNAL OF RADIOLOGY
(2020)
Article
Multidisciplinary Sciences
Patricia Leutz-Schmidt, Mark O. Wielpuetz, Stephan Skornitzke, Oliver Weinheimer, Hans-Ulrich Kauczor, Michael U. Puderbach, Gregor Pahn, Wolfram Stiller
Article
Radiology, Nuclear Medicine & Medical Imaging
W. L. Wagner, K. Hellbach, M. O. Fiedler, G. A. Salg, E. Wehrse, C. H. Ziener, U. Merle, C. Eckert, T. F. Weber, W. Stiller, M. O. Wielputz, C. Dullin, H. G. Kenngott, H-P Schlemmer, M. A. Weigand, P. Schirmacher, T. Longerich, H-U Kauczor, F. K-F Kommoss, C. Schwab
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
Multidisciplinary Sciences
T. D. Do, S. Sawall, S. Heinze, T. Reiner, C. H. Ziener, W. Stiller, H. P. Schlemmer, M. Kachelriess, H. U. Kauczor, S. Skornitzke
SCIENTIFIC REPORTS
(2020)
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
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
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.
Article
Radiology, Nuclear Medicine & Medical Imaging
Eliseo Vano, Guy Frija, Wolfram Stiller, Efstathios Efstathopoulos, Claudio Granata, Reinhard Loose, Graciano Paulo, Dean Pekarovic, Johan Sjoberg, Lluis Donoso-Bach
INSIGHTS INTO IMAGING
(2020)
