1
|
Sharma SP, Hirsch A, Hunink MGM, Cramer MJM, Mohamed Hoesein FAA, Geluk CA, Kramer G, Gratama JWC, Braam RL, van der Zee PM, Yassi W, Wolters SL, Gürlek C, Pundziute G, Vliegenthart R, Budde RPJ. Addition of FFRct in the diagnostic pathway of patients with stable chest pain to reduce unnecessary invasive coronary angiography (FUSION) : Rationale and design for the multicentre, randomised, controlled FUSION trial. Neth Heart J 2023; 31:52-60. [PMID: 35976610 PMCID: PMC9892409 DOI: 10.1007/s12471-022-01711-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA) is widely used in the diagnostic work-up of patients with stable chest pain. CCTA has an excellent negative predictive value, but a moderate positive predictive value for detecting coronary stenosis. Computed tomography-derived fractional flow reserve (FFRct) is a non-invasive, well-validated technique that provides functional assessment of coronary stenosis, improving the positive predictive value of CCTA. However, to determine the value of FFRct in routine clinical practice, a pragmatic randomised, controlled trial (RCT) is required. We will conduct an RCT to investigate the impact of adding FFRct analysis in the diagnostic pathway of patients with a coronary stenosis on CCTA on the rate of unnecessary invasive coronary angiography, cost-effectiveness, quality of life and clinical outcome. METHODS The FUSION trial is a prospective, multicentre RCT that will randomise 528 patients with stable chest pain and anatomical stenosis of ≥ 50% but < 90% in at least one coronary artery of ≥ 2 mm on CCTA, to FFRct-guided care or usual care in a 1:1 ratio. Follow-up will be 1 year. The primary endpoint is the rate of unnecessary invasive coronary angiography within 90 days. CONCLUSION The FUSION trial will evaluate the use of FFRct in stable chest pain patients from the Dutch perspective. The trial is funded by the Dutch National Health Care Institute as part of the research programme 'Potentially Promising Care' and the results will be used to assess if FFRct reimbursement should be included in the standard health care package.
Collapse
Affiliation(s)
- S. P. Sharma
- Department of Cardiology, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands ,Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - A. Hirsch
- Department of Cardiology, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands ,Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - M. G. M. Hunink
- Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands ,Department of Epidemiology and Biostatistics, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands ,Centre for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Boston, USA
| | - M. J. M. Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - C. A. Geluk
- Department of Cardiology, Martini Hospital Groningen, Groningen, The Netherlands
| | - G. Kramer
- Department of Radiology, Martini Hospital Groningen, Groningen, The Netherlands
| | - J. W. C. Gratama
- Department of Radiology, Gelre Hospital, Apeldoorn, The Netherlands
| | - R. L. Braam
- Department of Cardiology, Gelre Hospital, Apeldoorn, The Netherlands
| | - P. M. van der Zee
- Department of Cardiology, St Jansdal Hospital, Harderwijk, The Netherlands
| | - W. Yassi
- Department of Cardiology, St Jansdal Hospital, Harderwijk, The Netherlands
| | - S. L. Wolters
- Department of Radiology, Adrz Hospital, Goes, The Netherlands
| | - C. Gürlek
- Department of Cardiology, Adrz Hospital, Goes, The Netherlands
| | - G. Pundziute
- Department of Cardiology, University Medical Centre Groningen, Groningen, The Netherlands
| | - R. Vliegenthart
- Department of Radiology, University Medical Centre Groningen, Groningen, The Netherlands
| | - R. P. J. Budde
- Department of Cardiology, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands ,Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
2
|
Yanagiswawa T, Rajwa P, Kawada T, Mori K, Quhal F, Laukhtina E, Von Deimling M, Bianchi A, Majdoub M, Pradere B, Kramer G, Kimura T, Shariat S. Efficacy of systemic treatment in prostate cancer patients with visceral metastasis: A systematic review, meta-analysis, and network meta-analysis. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)01234-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
|
3
|
Zhu Y, Chen Y, Yu JH, Domier C, Yu G, Liu X, Kramer G, Ren Y, Diallo A, Luhmann NC, Li X. System-on-chip approach microwave imaging reflectometer on DIII-D tokamak. Rev Sci Instrum 2022; 93:113509. [PMID: 36461457 DOI: 10.1063/5.0099170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 09/08/2022] [Indexed: 06/17/2023]
Abstract
System-on-chip millimeter wave integrated circuit technology is used on the two-dimensional millimeter-wave imaging reflectometer (MIR) upgrade for density fluctuation imaging on the DIII-D tokamak fusion plasma. Customized CMOS chips have been successfully developed for the transmitter module and receiver module array, covering the 55-75 GHz working band. The transmitter module has the capability of simultaneously launching eight tunable probe frequencies (>0 dBm output power each). The receiver enclosure contains 12 receiver modules in two vertical lines. The quasi-optical local oscillator coupling of previous MIR systems has been replaced with an internal active frequency multiplier chain for improved local oscillator power delivery and flexible installation in a narrow space together with improved shielding against electromagnetic interference. The 55-75 GHz low noise amplifier, used between the receiver antenna and the first-stage mixer, significantly improves module sensitivity and suppresses electronics noise. The receiver module has a 20 dB gain improvement compared with the mini-lens approach and better than -75 dBm sensitivity, and its electronics noise temperature has been reduced from 55 000 K down to 11 200 K. The V-band MIR system is developed for co-located multi-field investigation of MHD-scale fluctuations in the pedestal region with W-band electron cyclotron emission imaging on DIII-D tokamak.
Collapse
Affiliation(s)
- Y Zhu
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - Y Chen
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - J-H Yu
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - C Domier
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - G Yu
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - X Liu
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - G Kramer
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - Y Ren
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - A Diallo
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - N C Luhmann
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| | - X Li
- Department of Electrical and Computer Engineering, University of California Davis, Davis, California 95616, USA
| |
Collapse
|
4
|
Yu G, Zhu Y, Austin M, Chen Y, Cao J, Diallo A, Kramer G, Li Z, Li X, Liu X, Nazikian R, Zheng Y, Luhmann NC. Diagnosing the pedestal magnetic field and magnetohydrodynamics radial structure with pedestal-scrape of layer electron cyclotron emission radiation inversion in H-mode plasma (invited). Rev Sci Instrum 2022; 93:103528. [PMID: 36319341 DOI: 10.1063/5.0099348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
Forward modeling is used to interpret inversion patterns of the pedestal-Scrape of Layer (SOL) Electron Cyclotron Emission (ECE) in DIII-D H-mode experiments. The modeling not only significantly improves the ECE data interpretation quality but also leads to the potential measurements of (1) the magnetic field strength |B| at the separatrix, (2) the pedestal |B| evolution during an inter-Edge Localized Mode (ELM) period, and (3) the pedestal Magnetohydrodynamics (MHD) radial structure. The ECE shine-through effect leads to three types of pedestal-SOL radiation inversions that are discussed in this paper. The first type of inversion is the non-monotonic Te,rad profile with respect to the major radius. Using the ECE frequency at the minimum Te,rad, the inversion can be applied to measure the magnetic field |B| at the separatrix and calibrate the mapping of the ECE channels with respect to the separatrix. The second type of inversion refers to the opposite phase between the radiation fluctuations δTe,rad at the pedestal and SOL. This δTe,rad phase inversion is sensitive to density and temperature fluctuations at the pedestal foot and, thus, can be used to qualitatively measure the MHD radial structure. The third type of inversion appears when the pedestal and SOL Te,rad evolve in an opposite trend, which can be used to infer the pedestal |B| field change during an inter-ELM period. The bandwidth effect on measuring δTe,rad due to pedestal MHD is also investigated in the radiation modeling.
Collapse
Affiliation(s)
- G Yu
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - Y Zhu
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - M Austin
- Institute for Fusion Studies, University of Texas, Austin, Texas 78712, USA
| | - Y Chen
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - J Cao
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - A Diallo
- Princeton Plasma Physics Lab, Princeton, New Jersey 08540, USA
| | - G Kramer
- Princeton Plasma Physics Lab, Princeton, New Jersey 08540, USA
| | - Z Li
- Oak Ridge Associated Universities, Oak Ridge, Tennessee 37831, USA
| | - X Li
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - X Liu
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - R Nazikian
- General Atomic, San Diego, California 92121, USA
| | - Y Zheng
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| | - N C Luhmann
- Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA
| |
Collapse
|
5
|
Yu E, Park S, Goh J, Shin S, Mehra N, McDermott R, Sala Gonzalez M, Fong P, Greil R, Retz M, Sade J, Huang YH, Begbie S, Rey F, Kramer G, Suzuki H, Zhang J, Kim J, Poehlein C, Antonarakis E. 1362MO Pembrolizumab + olaparib vs abiraterone (abi) or enzalutamide (enza) for patients (pts) with previously treated metastatic castration-resistant prostate cancer (mCRPC): Randomized open-label phase III KEYLYNK-010 study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
|
6
|
van den Oever LB, van Veldhuizen WA, Cornelissen LJ, Spoor DS, Willems TP, Kramer G, Stigter T, Rook M, Crijns APG, Oudkerk M, Veldhuis RNJ, de Bock GH, van Ooijen PMA. Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. J Digit Imaging 2022; 35:240-247. [PMID: 35083620 PMCID: PMC8921356 DOI: 10.1007/s10278-021-00573-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 11/29/2021] [Accepted: 12/18/2021] [Indexed: 11/28/2022] Open
Abstract
Organs-at-risk contouring is time consuming and labour intensive. Automation by deep learning algorithms would decrease the workload of radiotherapists and technicians considerably. However, the variety of metrics used for the evaluation of deep learning algorithms make the results of many papers difficult to interpret and compare. In this paper, a qualitative evaluation is done on five established metrics to assess whether their values correlate with clinical usability. A total of 377 CT volumes with heart delineations were randomly selected for training and evaluation. A deep learning algorithm was used to predict the contours of the heart. A total of 101 CT slices from the validation set with the predicted contours were shown to three experienced radiologists. They examined each slice independently whether they would accept or adjust the prediction and if there were (small) mistakes. For each slice, the scores of this qualitative evaluation were then compared with the Sørensen-Dice coefficient (DC), the Hausdorff distance (HD), pixel-wise accuracy, sensitivity and precision. The statistical analysis of the qualitative evaluation and metrics showed a significant correlation. Of the slices with a DC over 0.96 (N = 20) or a 95% HD under 5 voxels (N = 25), no slices were rejected by the readers. Contours with lower DC or higher HD were seen in both rejected and accepted contours. Qualitative evaluation shows that it is difficult to use common quantification metrics as indicator for use in clinic. We might need to change the reporting of quantitative metrics to better reflect clinical acceptance.
Collapse
Affiliation(s)
- L B van den Oever
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - W A van Veldhuizen
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - L J Cornelissen
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - D S Spoor
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - T P Willems
- Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - G Kramer
- Department of Radiology, Martini Hospital, Van Swietenplein 1, 9728 NT, Groningen, The Netherlands
| | - T Stigter
- Department of Radiology, Martini Hospital, Van Swietenplein 1, 9728 NT, Groningen, The Netherlands
| | - M Rook
- Department of Radiology, Martini Hospital, Van Swietenplein 1, 9728 NT, Groningen, The Netherlands
| | - A P G Crijns
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - M Oudkerk
- Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands
| | - R N J Veldhuis
- Department of Electrical Engineering, Computer Science and Mathematics, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
| | - G H de Bock
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands
| | - P M A van Ooijen
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.
| |
Collapse
|
7
|
Shore N, Kramer G, Joshua A, Li X, Poehlein C, Schloss C, de Bono J, Yu E. 639TiP KEYNOTE-365 cohort I: Phase Ib/II study of platinum containing chemotherapy in combination with pembrolizumab and chemotherapy alone for treatment-emergent neuroendocrine prostate carcinoma (t-NE). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
|
8
|
Kramer G, Shore N, Joshua A, Li X, Poehlein C, Schloss C, de Bono J, Yu E. 640TiP Phase Ib/II trial of pembrolizumab (pembro) + lenvatinib combination therapy in patients (pts) with adenocarcinoma metastatic castration-resistant prostate cancer (mCRPC) or treatment-emergent neuroendocrine mCRPC (t-NE): KEYNOTE-365 cohorts E and F. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
|
9
|
de Bono J, Shore N, Kramer G, Joshua A, Li X, Poehlein C, Schloss C, Yu E. 641TiP Phase Ib/II trial of pembrolizumab (pembro) + vibostolimab combination therapy in patients (Pts) with adenocarcinoma metastatic castration-resistant prostate cancer (mCRPC) or treatment-emergent neuroendocrine mCRPC (t-NE): KEYNOTE-365 cohorts G and H. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
10
|
de Wit R, Wülfing C, Castellano D, Kramer G, Eymard JC, Sternberg CN, Fizazi K, Tombal B, Bamias A, Carles J, Iacovelli R, Melichar B, Sverrisdóttir Á, Theodore C, Feyerabend S, Helissey C, Foster MC, Ozatilgan A, Geffriaud-Ricouard C, de Bono J. Baseline neutrophil-to-lymphocyte ratio as a predictive and prognostic biomarker in patients with metastatic castration-resistant prostate cancer treated with cabazitaxel versus abiraterone or enzalutamide in the CARD study. ESMO Open 2021; 6:100241. [PMID: 34450475 PMCID: PMC8390550 DOI: 10.1016/j.esmoop.2021.100241] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/05/2021] [Accepted: 07/21/2021] [Indexed: 01/04/2023] Open
Abstract
Background There is growing evidence that a high neutrophil-to-lymphocyte ratio (NLR) is associated with poor overall survival (OS) for patients with metastatic castration-resistant prostate cancer (mCRPC). In the CARD study (NCT02485691), cabazitaxel significantly improved radiographic progression-free survival (rPFS) and OS versus abiraterone or enzalutamide in patients with mCRPC previously treated with docetaxel and the alternative androgen-receptor-targeted agent (ARTA). Here, we investigated NLR as a biomarker. Patients and methods CARD was a multicenter, open-label study that randomized patients with mCRPC to receive cabazitaxel (25 mg/m2 every 3 weeks) versus abiraterone (1000 mg/day) or enzalutamide (160 mg/day). The relationships between baseline NLR [< versus ≥ median (3.38)] and rPFS, OS, time to prostate-specific antigen progression, and prostate-specific antigen response to cabazitaxel versus ARTA were evaluated using Kaplan–Meier estimates. Multivariable Cox regression with stepwise selection of covariates was used to investigate the prognostic association between baseline NLR and OS. Results The rPFS benefit with cabazitaxel versus ARTA was particularly marked in patients with high NLR {8.5 versus 2.8 months, respectively; hazard ratio (HR) 0.43 [95% confidence interval (CI) 0.27-0.67]; P < 0.0001}, compared with low NLR [7.5 versus 5.1 months, respectively; HR 0.69 (95% CI 0.45-1.06); P = 0.0860]. Higher NLR (continuous covariate, per 1 unit increase) independently associated with poor OS [HR 1.05 (95% CI 1.02-1.08); P = 0.0003]. For cabazitaxel, there was no OS difference between patients with high versus low NLR (15.3 versus 12.9 months, respectively; P = 0.7465). Patients receiving an ARTA with high NLR, however, had a worse OS versus those with low NLR (9.5 versus 13.3 months, respectively; P = 0.0608). Conclusions High baseline NLR predicts poor outcomes with an ARTA in patients with mCRPC previously treated with docetaxel and the alternative ARTA. Conversely, the activity of cabazitaxel is retained irrespective of NLR. Baseline NLR was evaluated as a biomarker in patients with mCRPC treated with cabazitaxel versus abiraterone or enzalutamide. High baseline NLR predicted poor outcomes with abiraterone or enzalutamide in patients with mCRPC. Clinical benefit from cabazitaxel was retained in higher baseline NLR patients.
Collapse
Affiliation(s)
- R de Wit
- Department of Medical Oncology, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - C Wülfing
- Department of Urology, Asklepios Tumorzentrum, Hamburg, Germany
| | - D Castellano
- Department of Medical Oncology, University Hospital 12 de Octubre, Madrid, Spain
| | - G Kramer
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - J-C Eymard
- Department of Medical Oncology, Institute Jean Godinot, Reims, France
| | - C N Sternberg
- Division of Hematology and Medical Oncology, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, USA
| | - K Fizazi
- Department of Cancer Medicine, Institut Gustave Roussy, Villejuif, France; University of Paris Saclay, Saint-Aubin, France
| | - B Tombal
- Institut de Recherche Clinique, Université Catholique de Louvain, Louvain, Belgium
| | - A Bamias
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - J Carles
- Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - R Iacovelli
- Medical Oncology Unit, Azienda Ospedaliera Universitaria Integrata (AOUI), Verona, Italy; Department of Medical Oncology, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy
| | - B Melichar
- Department of Oncology, Palacky University Medical School and Teaching Hospital, Olomouc, Czech Republic
| | - Á Sverrisdóttir
- Department of Oncology, Landspitali University Hospital, Reykjavik, Iceland
| | - C Theodore
- Department of Oncology, Foch Hospital, Suresnes, France
| | | | - C Helissey
- Hôpital d'Instruction des Armées Bégin, Saint Mandé, France
| | - M C Foster
- Global Medical Oncology, Sanofi, Cambridge, USA
| | - A Ozatilgan
- Global Medical Oncology, Sanofi, Cambridge, USA
| | | | - J de Bono
- Division of Clinical Studies, The Institute of Cancer Research, London, UK; Prostate Targeted Therapy Group, Royal Marsden Hospital, London, UK
| |
Collapse
|
11
|
Papp L, Spielvogel CP, Grubmüller B, Grahovac M, Krajnc D, Ecsedi B, Sareshgi RAM, Mohamad D, Hamboeck M, Rausch I, Mitterhauser M, Wadsak W, Haug AR, Kenner L, Mazal P, Susani M, Hartenbach S, Baltzer P, Helbich TH, Kramer G, Shariat SF, Beyer T, Hartenbach M, Hacker M. Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [ 68Ga]Ga-PSMA-11 PET/MRI. Eur J Nucl Med Mol Imaging 2021; 48:1795-1805. [PMID: 33341915 PMCID: PMC8113201 DOI: 10.1007/s00259-020-05140-y] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/29/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE Risk classification of primary prostate cancer in clinical routine is mainly based on prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor-nodes-metastasis (TNM) staging. This study aimed to investigate the diagnostic performance of positron emission tomography/magnetic resonance imaging (PET/MRI) in vivo models for predicting low-vs-high lesion risk (LH) as well as biochemical recurrence (BCR) and overall patient risk (OPR) with machine learning. METHODS Fifty-two patients who underwent multi-parametric dual-tracer [18F]FMC and [68Ga]Ga-PSMA-11 PET/MRI as well as radical prostatectomy between 2014 and 2015 were included as part of a single-center pilot to a randomized prospective trial (NCT02659527). Radiomics in combination with ensemble machine learning was applied including the [68Ga]Ga-PSMA-11 PET, the apparent diffusion coefficient, and the transverse relaxation time-weighted MRI scans of each patient to establish a low-vs-high risk lesion prediction model (MLH). Furthermore, MBCR and MOPR predictive model schemes were built by combining MLH, PSA, and clinical stage values of patients. Performance evaluation of the established models was performed with 1000-fold Monte Carlo (MC) cross-validation. Results were additionally compared to conventional [68Ga]Ga-PSMA-11 standardized uptake value (SUV) analyses. RESULTS The area under the receiver operator characteristic curve (AUC) of the MLH model (0.86) was higher than the AUC of the [68Ga]Ga-PSMA-11 SUVmax analysis (0.80). MC cross-validation revealed 89% and 91% accuracies with 0.90 and 0.94 AUCs for the MBCR and MOPR models respectively, while standard routine analysis based on PSA, biopsy Gleason score, and TNM staging resulted in 69% and 70% accuracies to predict BCR and OPR respectively. CONCLUSION Our results demonstrate the potential to enhance risk classification in primary prostate cancer patients built on PET/MRI radiomics and machine learning without biopsy sampling.
Collapse
Affiliation(s)
- L Papp
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - C P Spielvogel
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Christian Doppler Laboratory for Applied Metabolomics, Vienna, Austria
| | - B Grubmüller
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - M Grahovac
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - D Krajnc
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - B Ecsedi
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - R A M Sareshgi
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - D Mohamad
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - M Hamboeck
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - I Rausch
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - A R Haug
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Christian Doppler Laboratory for Applied Metabolomics, Vienna, Austria
| | - L Kenner
- Christian Doppler Laboratory for Applied Metabolomics, Vienna, Austria
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | - P Mazal
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | - M Susani
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | | | - P Baltzer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Common General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria
| | - T H Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Common General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria
| | - G Kramer
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - S F Shariat
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - T Beyer
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - M Hartenbach
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
| |
Collapse
|
12
|
Zhu Y, Yu JH, Yu G, Ye Y, Chen Y, Tobias B, Diallo A, Kramer G, Ren Y, Tang W, Dong G, Churchill R, Domier CW, Li X, Luo C, Chen M, Luhmann NC. System-on-chip upgrade of millimeter-wave imaging diagnostics for fusion plasma. Rev Sci Instrum 2021; 92:053522. [PMID: 34243257 DOI: 10.1063/5.0040449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 04/23/2021] [Indexed: 06/13/2023]
Abstract
Monolithic, millimeter wave "system-on-chip" technology has been employed in chip heterodyne radiometers in a newly developed Electron Cyclotron Emission Imaging (ECEI) system on the DIII-D tokamak for 2D electron temperature and fluctuation diagnostics. The system employs 20 horn-waveguide receiver modules each with customized W-band (75-110 GHz) monolithic microwave integrated circuit chips comprising a W-band low noise amplifier, a balanced mixer, a ×2 local oscillator (LO) frequency doubler, and two intermediate frequency amplifier stages in each module. Compared to previous quasi-optical ECEI arrays with Schottky mixer diodes mounted on planar antennas, the upgraded W-band array exhibits >30 dB additional gain and 20× improvement in noise temperature; an internal eight times multiplier chain is used to provide LO coupling, thereby eliminating the need for quasi-optical coupling. The horn-waveguide shielding housing avoids out-of-band noise interference on each module. The upgraded ECEI system plays an important role for absolute electron temperature and fluctuation measurements for edge and core region transport physics studies. An F-band receiver chip (up to 140 GHz) is under development for additional fusion facilities with a higher toroidal magnetic field. Visualization diagnostics provide multi-scale and multi-dimensional data in plasma profile evolution. A significant aspect of imaging measurement is focusing on artificial intelligence for science applications.
Collapse
Affiliation(s)
- Y Zhu
- University of California Davis, Davis, California 95616, USA
| | - J-H Yu
- University of California Davis, Davis, California 95616, USA
| | - G Yu
- University of California Davis, Davis, California 95616, USA
| | - Y Ye
- University of California Davis, Davis, California 95616, USA
| | - Y Chen
- University of California Davis, Davis, California 95616, USA
| | - B Tobias
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - A Diallo
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - G Kramer
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - Y Ren
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - W Tang
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - G Dong
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - R Churchill
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - C W Domier
- University of California Davis, Davis, California 95616, USA
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230000, China
| | - C Luo
- University of California Davis, Davis, California 95616, USA
| | - M Chen
- University of California Davis, Davis, California 95616, USA
| | - N C Luhmann
- University of California Davis, Davis, California 95616, USA
| |
Collapse
|
13
|
Szarvas T, Csizmarik A, Váradi M, Fazekas T, Hüttl A, Nyirády P, Hadaschik B, Grünwald V, Tschirdewahn S, Shariat SF, Sevcenco S, Maj-Hes A, Kramer G. The prognostic value of serum MMP-7 levels in prostate cancer patients who received docetaxel, abiraterone, or enzalutamide therapy. Urol Oncol 2020; 39:296.e11-296.e19. [PMID: 33046366 DOI: 10.1016/j.urolonc.2020.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 09/06/2020] [Accepted: 09/12/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVES The rapidly changing treatment landscape in metastatic castration-resistant prostate cancer (mCRPC) calls for biomarkers to guide treatment decisions. We recently identified MMP-7 as a potential serum marker for the prediction of response and survival in mCRPC patients who received docetaxel (DOC) chemotherapy. Here, we aimed to test this finding in an independent patient cohort and in addition to explore the prognostic potential of serum MMP-7 in abiraterone (ABI) or enzalutamide (ENZA) treated patients. METHODS AND MATERIALS MMP-7 levels were measured in 836 serum samples from 320 mCRPC patients collected before and during DOC (n = 95), ABI (n = 140), or ENZA (n = 85) treatment by using the ELISA method. Results were correlated with clinical and follow-up data. RESULTS MMP-7 baseline levels were similar between the 3 treatment groups. In the ABI and ENZA cohorts, baseline MMP-7 levels were lower in patients with prior radical prostatectomy (P = 0.058 and P = 0.041, respectively). Baseline MMP-7 levels above the median were associated with shorter overall survival for the DOC (P = 0.001) and ENZA (P = 0.006) cohorts. Multivariable analyses in the DOC and ENZA cohorts revealed that high pretreatment MMP-7 level is an independent risk factor for patients' survival. In addition, in DOC-treated patients with high baseline MMP-7 level, marker decrease at the third DOC cycle was associated with improved survival. Patients with high baseline MMP-7 levels had better survival when treated with ABI compared to DOC or ENZA. CONCLUSIONS We confirmed the prognostic value of pretreatment MMP-7 serum level and its changes as independent predictors of survival in DOC-treated mCRPC patients. In addition, high MMP-7 was a negative predictor in ENZA-treated but not in ABI-treated patients. These results warrant further research to confirm the predictive value of serum MMP-7 and to explore the potential mechanistic involvement of MMP-7 in DOC and ENZA resistance of mCRPC patients.
Collapse
Affiliation(s)
- T Szarvas
- Department of Urology, Semmelweis University, Budapest, Hungary; Department of Urology, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany.
| | - A Csizmarik
- Department of Urology, Semmelweis University, Budapest, Hungary
| | - M Váradi
- Department of Urology, Semmelweis University, Budapest, Hungary
| | - T Fazekas
- Department of Urology, Semmelweis University, Budapest, Hungary
| | - A Hüttl
- Department of Urology, Semmelweis University, Budapest, Hungary
| | - P Nyirády
- Department of Urology, Semmelweis University, Budapest, Hungary
| | - B Hadaschik
- Department of Urology, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - V Grünwald
- Department of Urology, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - S Tschirdewahn
- Department of Urology, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - S F Shariat
- Department of Urology, Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria; Department of Urology, Weill Cornell Medical College, New York, NY; Department of Urology, University of Texas Southwestern, Dallas, TX; Department of Urology, Second Faculty of Medicine, Charles University, Prag, Czech Republic; Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia; Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan
| | - S Sevcenco
- Department of Urology, Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - A Maj-Hes
- Department of Urology, Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - G Kramer
- Department of Urology, Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| |
Collapse
|
14
|
Lagrand T, Tuitert I, Klamer M, van der Meulen A, van der Palen J, Kramer G, Tijssen M. Functional or not functional; that's the question: Can we predict the diagnosis functional movement disorder based on associated features? Eur J Neurol 2020; 28:33-39. [PMID: 32813908 PMCID: PMC7820982 DOI: 10.1111/ene.14488] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 08/13/2020] [Indexed: 12/01/2022]
Abstract
Background and purpose Functional movement disorders (FMDs) pose a diagnostic challenge for clinicians. Over the years several associated features have been shown to be suggestive for FMDs. Which features mentioned in the literature are discriminative between FMDs and non‐FMDs were examined in a large cohort. In addition, a preliminary prediction model distinguishing these disorders was developed based on differentiating features. Method Medical records of all consecutive patients who visited our hyperkinetic outpatient clinic from 2012 to 2019 were retrospectively reviewed and 12 associated features in FMDs versus non‐FMDs were compared. An independent t test for age of onset and Pearson chi‐squared analyses for all categorical variables were performed. Multivariate logistic regression analysis was performed to develop a preliminary predictive model for FMDs. Results A total of 874 patients were eligible for inclusion, of whom 320 had an FMD and 554 a non‐FMD. Differentiating features between these groups were age of onset, sex, psychiatric history, family history, more than one motor phenotype, pain, fatigue, abrupt onset, waxing and waning over long term, and fluctuations during the day. Based on these a preliminary predictive model was computed with a discriminative value of 91%. Discussion Ten associated features are shown to be not only suggestive but also discriminative between hyperkinetic FMDs and non‐FMDs. Clinicians can use these features to identify patients suspected for FMDs and can subsequently alert them to test for positive symptoms at examination. Although a first preliminary model has good predictive accuracy, further validation should be performed prospectively in a multi‐center study.
Collapse
Affiliation(s)
- T Lagrand
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - I Tuitert
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Klamer
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - A van der Meulen
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Neurology, Martini Hospital, Groningen, The Netherlands
| | - J van der Palen
- Department of Epidemiology, Medisch Spectrum Twente Hospital, Enschede, The Netherlands
| | - G Kramer
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Neurology, Catharina Hospital, Eindhoven, The Netherlands
| | - M Tijssen
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, The Netherlands
| |
Collapse
|
15
|
de Wit R, Wülfing C, Castellano Gauna D, Kramer G, Eymard JC, Sternberg C, Fizazi K, Tombal B, Bamias A, Carles J, Iacovelli R, Melichar B, Sverrisdóttir Á, Theodore C, Feyerabend S, Helissey C, Poole E, Ozatilgan A, Geffriaud-Ricouard C, de Bono J. 629P Neutrophil-lymphocyte ratio (NLR) as a prognostic and predictive biomarker in patients with metastatic castration-resistant prostate cancer (mCRPC) treated with cabazitaxel (CBZ) vs abiraterone or enzalutamide in the CARD study. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
|
16
|
Zhu Y, Yu JH, Yu G, Ye Y, Tobias B, Diallo A, Kramer G, Ren Y, Domier CW, Li X, Luo C, Chen M, Chen Y, Luhmann NC. W-band system-on-chip electron cyclotron emission imaging system on DIII-D. Rev Sci Instrum 2020; 91:093504. [PMID: 33003819 DOI: 10.1063/5.0018082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 08/20/2020] [Indexed: 06/11/2023]
Abstract
Monolithic, millimeter-wave "system-on-chip" (SoC) technology has been employed in heterodyne receiver integrated circuit radiometers in a newly developed Electron Cyclotron Emission Imaging (ECEI) system on the DIII-D tokamak for 2D electron temperature profile and fluctuation evolution diagnostics. A prototype module operating in the E-band (72 GHz-80 GHz) was first employed in a 2 × 10 element array that demonstrated significant improvements over the previous quasi-optical Schottky diode mixer arrays during the 2018 operational campaign of the DIII-D tokamak. For compatibility with International Thermonuclear Experimental Reactor relevant scenarios on DIII-D, the SoC ECEI system was upgraded with 20 horn-waveguide receiver modules. Each individual module contains a University of California Davis designed W-band (75 GHz-110 GHz) receiver die that integrates a broadband low noise amplifier, a double balanced down-converting mixer, and a ×4 multiplier on the local oscillator (LO) chain. A ×2 multiplier and two IF amplifiers are packaged and selected to further boost the signal strength and downconvert the signal frequency. The upgraded W-band array exhibits >30 dB additional gain and 20× improvement in noise temperature compared with the previous Schottky diode radio frequency mixer input systems; an internal 8 times multiplier chain is used to bring down the LO frequency below 12 GHz, thereby obviating the need for a large aperture for quasi-optical LO coupling and replacing it with coaxial connectors. Horn-waveguide shielding housing avoids out-of-band noise interference on each individual module. The upgraded ECEI system plays an important role for absolute electron temperature evolution and fluctuation measurements for edge and core region transport physics studies.
Collapse
Affiliation(s)
- Y Zhu
- University of California Davis, Davis, California 95616, USA
| | - J-H Yu
- University of California Davis, Davis, California 95616, USA
| | - G Yu
- University of California Davis, Davis, California 95616, USA
| | - Y Ye
- University of California Davis, Davis, California 95616, USA
| | - B Tobias
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - A Diallo
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - G Kramer
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - Y Ren
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - C W Domier
- University of California Davis, Davis, California 95616, USA
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230000, China
| | - C Luo
- University of California Davis, Davis, California 95616, USA
| | - M Chen
- University of California Davis, Davis, California 95616, USA
| | - Y Chen
- University of California Davis, Davis, California 95616, USA
| | - N C Luhmann
- University of California Davis, Davis, California 95616, USA
| |
Collapse
|
17
|
de Wit R, Kramer G, Eymard JC, de Bono J, Sternberg C, Fizazi K, Tombal B, Wülfing C, Bamias A, Carles J, Iacovelli R, Melichar B, Sverrisdottir A, Theodore C, Feyerabend S, Helissey C, Picard P, Ozatilgan A, Geffriaud-Ricouard C, Castellano D. CARD: Randomized, open-label study of cabazitaxel (CBZ) vs abiraterone (ABI) or enzalutamide (ENZ) in metastatic castration-resistant prostate cancer (mCRPC). Ann Oncol 2019. [DOI: 10.1093/annonc/mdz394.040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
18
|
Kuniss N, Müller U, Kloos C, Jörgens V, Kramer G. Diabetes-related distress is reduced in people with type 1, but not type 2 diabetes after participating in a diabetes treatment and teaching programme. Diabetes & Metabolism 2019; 45:310-312. [DOI: 10.1016/j.diabet.2017.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 11/14/2017] [Accepted: 11/26/2017] [Indexed: 11/29/2022]
|
19
|
|
20
|
Zhu Y, Ye Y, Yu JH, Tobias B, Pham AV, Wang Y, Luo C, Domier CW, Kramer G, Ren Y, Diallo A, Nazikian R, Chen M, Yu G, Luhmann NC. Liquid crystal polymer receiver modules for electron cyclotron emission imaging on the DIII-D tokamak. Rev Sci Instrum 2018; 89:10H120. [PMID: 30399858 DOI: 10.1063/1.5035373] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 05/30/2018] [Indexed: 06/08/2023]
Abstract
A new generation of millimeter-wave heterodyne imaging receiver arrays has been developed and demonstrated on the DIII-D electron cyclotron emission imaging (ECEI) system. Improved circuit integration, improved noise performance, and enhanced shielding from out-of-band emission are made possible by using advanced liquid crystal polymer (LCP) substrates and monolithic microwave integrated circuit (MMIC) receiver chips. This array exhibits ∼15 dB additional gain and >30× reduction in noise temperature compared to previous generation ECEI arrays. Each LCP horn-waveguide module houses a 3 × 3 mm GaAs MMIC receiver chip, which consists of a low noise millimeter-wave preamplifier, balanced mixer, and IF amplifier together with a local oscillator multiplier chain driven at ∼12 GHz. A proof-of-principle partial LCP instrument with 5 poloidal channels was installed on DIII-D in 2017, with a full proof-of-principle system (20 poloidal × 8 radial channels) installed and commissioned in early 2018. The enhanced shielding of the LCP modules is seen to greatly reduce the sensitivity of ECEI signals to out-of-band microwave noise which has plagued previous ECEI studies on DIII-D. The LCP ECEI system is expected to be a valuable diagnostic tool for pedestal region measurements, focusing particularly on electron temperature evolution during edge localized mode bursting.
Collapse
Affiliation(s)
- Y Zhu
- University of California Davis, Davis, California 95616, USA
| | - Y Ye
- University of California Davis, Davis, California 95616, USA
| | - J-H Yu
- University of California Davis, Davis, California 95616, USA
| | - B Tobias
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - A-V Pham
- University of California Davis, Davis, California 95616, USA
| | - Y Wang
- University of California Davis, Davis, California 95616, USA
| | - C Luo
- University of California Davis, Davis, California 95616, USA
| | - C W Domier
- University of California Davis, Davis, California 95616, USA
| | - G Kramer
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - Y Ren
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - A Diallo
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - R Nazikian
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - M Chen
- University of California Davis, Davis, California 95616, USA
| | - G Yu
- University of California Davis, Davis, California 95616, USA
| | - N C Luhmann
- University of California Davis, Davis, California 95616, USA
| |
Collapse
|
21
|
Kuniss N, Kramer G, Schmidt I, Kloos C, Müller UA. Polymedikation mit Antidiabetika bei Diabetes mellitus Typ 2. DIABETOL STOFFWECHS 2018. [DOI: 10.1055/s-0038-1641954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- N Kuniss
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - G Kramer
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - I Schmidt
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - C Kloos
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - UA Müller
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| |
Collapse
|
22
|
Kramer G, Michalak L, Müller UA, Kuniss N. Flash Glukose Monitoring – Assoziationen zur metabolische Kontrolle und Behandlungszufriedenheit bei Menschen mit Diabetes mellitus Typ 1. DIABETOL STOFFWECHS 2018. [DOI: 10.1055/s-0038-1641947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- G Kramer
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - L Michalak
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - UA Müller
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - N Kuniss
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| |
Collapse
|
23
|
Schübert H, Müller UA, Kramer G, Müller N, Kloos C, Kuniss N. Snacking is common in people with diabetes type 1 and type 2 with insulin therapy and affects not the metabolic control. DIABETOL STOFFWECHS 2018. [DOI: 10.1055/s-0038-1641865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- H Schübert
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - UA Müller
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - G Kramer
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - N Müller
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - C Kloos
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - N Kuniss
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| |
Collapse
|
24
|
Müller N, Lehmann T, Gerste B, Adler JB, Kloos C, Hartmann M, Kramer G, Kuniss N, Müller UA. Increase in the incidence of severe hypoglycaemia in people with Type 2 diabetes in spite of new drugs: analysis based on health insurance data from Germany. Diabet Med 2017; 34:1212-1218. [PMID: 28586530 DOI: 10.1111/dme.13397] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/02/2017] [Indexed: 12/22/2022]
Abstract
AIM To evaluate the use of new anti-hyperglycaemic agents that offer effective glycaemic control while reducing risk of hypoglycaemia, by analysing the incidence rates of severe hypoglycaemia in 2006 vs 2011 in relation to the medication. METHODS This cross-sectional, population-based study used German health insurance data. All adults diagnosed with Type 2 diabetes mellitus (extrapolated to the German population: 6.35 million in 2006 and 7.52 million in 2011) were screened for severe hypoglycaemia. Anti-hyperglycaemic agents were identified by their Anatomical Therapeutic Chemical code, and defined daily doses of each medication were calculated. RESULTS The severe hypoglycaemic event rate was 460 per 100,000 people/year in 2006 and 490 per 100,000 people/year in 2011. In 2006 and 2011, 10.9% and 7.3%, respectively, of all people with severe hypoglycaemia were on sulfonylureas, while 12.7% and 9.3%, respectively, were on a combination therapy of metformin and sulfonylureas. Among those with severe hypoglycaemia, there were no prescriptions of dipeptidyl peptidase-4 inhibitors or glucagon-like peptide-1 receptor agonists in 2006, but in 2011, 1.55% and 0.17%, of those with severe hypoglycaemia were receiving the respective treatments. In 2006 vs 2011, human insulin was prescribed for 11.3% vs 10.3% of people with severe hypoglycaemia, while insulin analogues were prescribed for 5.4% vs 8.1%, and mixed human insulins for 19.7% vs 14.0% of patients with severe hypoglycaemia. People receiving insulin analogue therapy had a higher risk of severe hypoglycaemia than those receiving metformin, after adjusting for age, gender, nephropathy diagnosis and year of survey (odds ratio 14.6; CI 13.3-15.9). CONCLUSION The incidence of severe hypoglycaemic events in Germany increased between 2006 and 2011, despite increased use of newer anti-hyperglycaemic agents and decreased use of insulins.
Collapse
Affiliation(s)
- N Müller
- Department for Internal Medicine III, Jena University Hospital, Jena, Germany
| | - T Lehmann
- Center for Clinical Studies, Jena University Hospital, Jena, Germany
| | - B Gerste
- Wissenschaftliches Institut der AOK (WIdO), Berlin, Germany
| | - J-B Adler
- Wissenschaftliches Institut der AOK (WIdO), Berlin, Germany
| | - C Kloos
- Department for Internal Medicine III, Jena University Hospital, Jena, Germany
| | - M Hartmann
- Department of Pharmacy, Jena University Hospital, Jena, Germany
| | - G Kramer
- Department for Internal Medicine III, Jena University Hospital, Jena, Germany
| | - N Kuniss
- Department for Internal Medicine III, Jena University Hospital, Jena, Germany
| | - U A Müller
- Department for Internal Medicine III, Jena University Hospital, Jena, Germany
| |
Collapse
|
25
|
Leisser A, Nejabat M, Hartenbach M, Duan H, Shariat SF, Kramer G, Krainer M, Hacker M, Haug AR. Hematopoiesis is prognostic for toxicity and survival of 223Radium treatment in patients with metastatic castration-resistant prostate cancer. Hell J Nucl Med 2017; 20 Suppl:157. [PMID: 29324927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 10/10/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of 223Radium (223Ra) treatments in patients with metastatic castration-resistant prostate cancer. SUBJECTS AND METHOD Hemoglobin-levels (Hb), the number of platelets (Plts), leukocytes (Leuk), and survival data were collected in 56 patients treated with 223Ra. Pre-therapeutic hematopoiesis as well as adverse events during and after therapy were scored (grade 0-4) according to the CTCAE recommendations. The association of pre-therapeutic hematopoiesis, survival, HT and numbers of 223Ra cycles was analyzed. RESULTS Median survival in all patients was 69.9 weeks; 77% of patients had pre-existing impaired Hb (1.7% grade 3, 12.5% grade 2, 62.5% grade 1). 8/56 (14.3%) had impaired Plt (grade 1) Maximum toxicity (Tox) grades of patients during treatment were grade 4 (Hb 1.7%; Plt 1.7%), grade 3 (Hb 14.3%; Plt 7.1%; Leu 7.1%), grade 2 (Hb 33.9%; Plt 7.1%; Leu 23.2%), grade 1 (Hb 46.4%; Plt 17.9%; Leu 23.2%) and grade 0 (Hb 5.4%; Plt 66.1%; Leu 44.6%). Interestingly, patients with thrombocytopenia had a significantly shorter survival compared to those with normal Plt levels (21 weeks vs not reached; P<0.003). As expected patients with pre-therapeutic low Hb-level (<10g/dL) had a significantly shorter survival compared to those with Hb-level >10g/dL (28 weeks vs not reached, P<0.004), whereas survival of patients with mildly impaired Hb (>10 but <13.5g/dL) did not differ from patients with normal levels of Hb (X vs. Y, P=...). Also patients with impaired Hb also developed significantly more grade 3 and 4 HT (Hb <10g/dL: 42.9 vs 14.3%, P<0.001; Plt <150G/mL: 25.0% vs 6.3%; P=0.002) and received significantly fewer treatment cycles (Hb<10g/dL: 5.1 vs 5.8, P<0.04; Plt <150G/mL: 3.4 vs 5.6; P<0.001). Neither extent of bone metastases nor previous chemotherapy were associated with survival, number of 223Ra cycles and HT. CONCLUSION Patients with metastatic castration-resistant prostate cancer and impaired hematopoiesis, in particular thrombocytopenia and anemia, before 223Ra therapy suffer from significantly more high-grade HT, shorter survival and receive significantly fewer 223Ra treatments. Therefore, Hb-levels and platelet counts are essential parameters for adequate patient selection for 223Ra therapy.
Collapse
Affiliation(s)
- A Leisser
- Department of Biomedical Imaging and Image-guided Therapy Medical University, Vienna 1090, Vienna, Austria.
| | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Wang L, Makowski M, Guo H, Leonard A, Xu G, Gong X, Garofalo A, Deng G, Petrie T, Thomas D, Jackson G, Kramer G, Maingi R, Liu J, Feng W, Wang H, Zhang B, Ding S, Pan C, Hu Y, Qian J, Li J, Wan B. Effect of heating scheme on SOL width in DIII-D and EAST. Nuclear Materials and Energy 2017. [DOI: 10.1016/j.nme.2017.01.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
27
|
Kuniss N, Müller UA, Kloos C, Kramer G. Diabetesbezogene Belastungen ambulanter Menschen mit Diabetes mellitus Typ 1 und 2 sind gering und ändern sich nach Teilnahme an einem strukturierten Behandlungs- und Schulungsprogramm nur bei Menschen mit Typ 1 Diabetes. DIABETOL STOFFWECHS 2017. [DOI: 10.1055/s-0037-1601809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- N Kuniss
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - UA Müller
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - C Kloos
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - G Kramer
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| |
Collapse
|
28
|
Kramer G, Müller UA, Kloos C, Kuniss N. Exzellente Stoffwechseleinstellung und niedrige Komplikationsrate bei Menschen mit Typ 1 Diabetes und Insulinpumpentherapie – Querschnittsanalyse einer Hochschulpoliklinik. DIABETOL STOFFWECHS 2017. [DOI: 10.1055/s-0037-1601692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- G Kramer
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - UA Müller
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - C Kloos
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| | - N Kuniss
- Universitätsklinikum Jena, Klinik für Innere Medizin III, Jena, Germany
| |
Collapse
|
29
|
Kuniss N, Rechtacek T, Kloos C, Müller UA, Roth J, Burghardt K, Kramer G. Diabetes-related burden and distress in people with diabetes mellitus at primary care level in Germany. Acta Diabetol 2017; 54:471-478. [PMID: 28210870 DOI: 10.1007/s00592-017-0972-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 02/03/2017] [Indexed: 12/14/2022]
Abstract
AIMS The importance of diabetes-related distress for the treatment of diabetes is emphasised in national and international guidelines recommending routinely screening for psychosocial problems. Data of investigations regarding diabetes-related distress on primary care are rare in Germany though most people with diabetes are treated without insulin therapy at primary care level. METHODS Three hundred and forty-five people with diabetes mellitus type 2 (DM2, n = 336, 229 without and 107 with insulin therapy) and type 1 (DM1, n = 9) were interviewed with the PAID questionnaire in the period from 1 October 2015 to 31 December 2015 in a general practice. A PAID score ≥40 (range 0-100) was considered as high diabetes-related distress. RESULTS The mean PAID score of all participants was 3.9 ± 7.0 (DM2 without insulin 2.7 ± 6.3, DM2 with insulin therapy 6.0 ± 8.0, DM1 6.8 ± 4.9) and far below the threshold of 40 points. Only 1.2% of all responders showed high diabetes-related distress (score ≥40). People on insulin therapy with HbA1c >7.5% and with diagnosed depression prior to the study scored significantly higher. Furthermore, there are weak correlations between the PAID score and HbA1c (r = 0.253, p < 0.001), duration of diabetes (r = 0.169, p = 0.002), insulin dosage (r = 0.283, p < 0.001) and age (r = -0.129, p = 0.016). CONCLUSIONS Only 1.2% of our outpatients with diabetes on primary care level showed high diabetes-related distress. Higher rates in the current literature are probably due to not investigating on primary care level. Guidelines should consider this.
Collapse
Affiliation(s)
- N Kuniss
- Department of Internal Medicine III, Endocrinology and Metabolic Disorders, Jena University Hospital, Am Klinikum 1, 07740, Jena, Germany.
| | - T Rechtacek
- General Practice, Saalfeld, Thuringia, Germany
| | - C Kloos
- Department of Internal Medicine III, Endocrinology and Metabolic Disorders, Jena University Hospital, Am Klinikum 1, 07740, Jena, Germany
| | - U A Müller
- Department of Internal Medicine III, Endocrinology and Metabolic Disorders, Jena University Hospital, Am Klinikum 1, 07740, Jena, Germany
| | - J Roth
- Department of Internal Medicine III, Endocrinology and Metabolic Disorders, Jena University Hospital, Am Klinikum 1, 07740, Jena, Germany
| | - K Burghardt
- Department of Internal Medicine III, Endocrinology and Metabolic Disorders, Jena University Hospital, Am Klinikum 1, 07740, Jena, Germany
| | - G Kramer
- Department of Internal Medicine III, Endocrinology and Metabolic Disorders, Jena University Hospital, Am Klinikum 1, 07740, Jena, Germany
| |
Collapse
|
30
|
Chowdhury S, Birtle A, Bjartell A, Costa L, Feyerabend S, Galli L, Kalinka-Warzocha E, Kramer G, Rey JM, Lumen N, Matveev V, Paiss T, Spaeth D, Antoni L, Klumper E, Wapenaar R, Lee E. The prostate cancer registry: Patient characteristics, treatments and preliminary outcomes from a large observational study of metastatic castration-resistant prostate cancer (mCRPC). Ann Oncol 2016. [DOI: 10.1093/annonc/mdw372.30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
31
|
Kramer G, Kuniss N, Kloos C, Lehmann T, Müller N, Sämann A, Wolf G, Müller UA. Metabolic control and hypoglycaemia in people with type 2 diabetes on conventional or intensified insulin therapy: a 22 year retrospective single centre survey. Diabetes Metab Res Rev 2016; 32:652-8. [PMID: 26789274 DOI: 10.1002/dmrr.2783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 12/07/2015] [Accepted: 12/27/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND Multiple insulin injection therapy can easily be adapted to the patient's needs. Therefore, it is supposed that more intensive insulin therapy is associated with better metabolic control and less hypoglycaemia compared with a conventional insulin strategy in patients with type 2 diabetes. METHODS HbA1c and incidence of non-severe and severe hypoglycaemia were analysed with regard to the strategy of insulin therapy [multiple insulin injection therapy with preprandial insulin with or without basal insulin or conventional insulin therapy with twice-daily premix insulin] from 20 943 visits of 1417 people treated with insulin with type 2 diabetes in a university outpatient department for endocrinology and metabolic diseases over a period of 22 years. RESULTS Multiple insulin injection therapy was used in 13 896 (66.4%) of all 20 942 visits. Compared with conventional insulin therapy, these patients were younger (62.0 vs 68.7 years; p < 0.001), had a slightly longer diabetes duration (16.5 vs 15.8 years; p < 0.001) and higher body mass index (32.8 vs 30.9 kg/m(2) ; p < 0.001), a higher insulin dose (76.4 vs 46.5 IU/day; p < 0.001), more frequent blood glucose monitorings/week (24.2 vs 14.8; p < 0.001), a slightly lower HbA1c [7.7 (61.2) vs 7.9% (62.9 mmol/mol); p < 0.001] but more non-severe hypoglycaemic incidences per week (0.3 vs 0.2; p = 0.01). Episodes of severe hypoglycaemia were rare and comparable (0.01/patient/year) with both insulin therapy strategies. CONCLUSIONS Multiple insulin injection therapy and conventional insulin therapy yielded comparable metabolic control with HbA1c below 8% (63.9 mmol/mol), but multiple insulin injection therapy is associated with higher body mass index and higher incidence of non-severe hypoglycaemia. Copyright © 2016 John Wiley & Sons, Ltd.
Collapse
Affiliation(s)
- G Kramer
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| | - N Kuniss
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| | - C Kloos
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| | - T Lehmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Jena, Germany
| | - N Müller
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| | - A Sämann
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| | - G Wolf
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| | - U A Müller
- Department Internal Medicine III, Jena University Hospital, Jena, Germany
| |
Collapse
|
32
|
Li C, Capello K, Hauck B, Zankl M, Kramer G. A MONTE CARLO STUDY OF SIMULATED MEASUREMENTS OF RADIONUCLIDES IN BONE. Radiat Prot Dosimetry 2016; 171:73-77. [PMID: 27473704 DOI: 10.1093/rpd/ncw198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Accepted: 04/22/2016] [Indexed: 06/06/2023]
Abstract
When measuring the internally deposited activity in the bone of a subject, the placement of the detector is critical. This study reports the simulated counting efficiencies for three counting geometries, the skull, knee and shin, using 13 different voxel phantoms. It shows that the range of counting efficiencies for a given geometry is large for the studied phantoms, especially at low energies. Skull counting offers higher efficiency for low energies such as the 17 keV compared to knee counting or shin counting, but this advantage disappears when the energy is higher such as at 185 keV. This work also shows that the calibration phantom may greatly impact the accuracy of the activity estimate in bone counting, with uncertainties increasing greatly as the photon energy is reduced. Estimating the activity of a radionuclide in bone from direct counting has large uncertainties, and the dose calculated from a skeleton measurement would need careful analysis and, if possible, supporting data from other bioassay measurements.
Collapse
Affiliation(s)
- C Li
- Radiation Protection Bureau, Health Canada, 775 Brookfield Rd, Ottawa, Canada K1A 1C1
| | - K Capello
- Radiation Protection Bureau, Health Canada, 775 Brookfield Rd, Ottawa, Canada K1A 1C1
| | - B Hauck
- Radiation Protection Bureau, Health Canada, 775 Brookfield Rd, Ottawa, Canada K1A 1C1
| | - M Zankl
- Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Research Unit Medical Radiation Physics and Diagnostics, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - G Kramer
- Radiation Protection Bureau, Health Canada, 775 Brookfield Rd, Ottawa, Canada K1A 1C1
| |
Collapse
|
33
|
Kramer G, Kuniss N, Kloos C, Lehmann T, Müller N, Sanow B, Lorkowski S, Wolf G, Müller UA. Principles of self-adjustment of insulin dose in people with diabetes type 2 and flexible insulin therapy. Diabetes Res Clin Pract 2016; 116:165-70. [PMID: 27321332 DOI: 10.1016/j.diabres.2016.04.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 02/23/2016] [Accepted: 04/18/2016] [Indexed: 11/26/2022]
Abstract
AIMS Structured treatment and education programmes for people with type 2 diabetes mellitus (T2DM) and flexible insulin therapy provide rules for self-adjustment of insulin dose, that are extensively trained. The aim of this cohort study was to register current principles and the frequency of self-adjustment of insulin dose and their association with metabolic control in people with T2DM. METHODS Details of insulin dose adjustment were assessed by a structured interview in 149 people with T2DM on flexible insulin therapy (mean HbA1c 7.1%/53.8mmol/mol, age 65y, diabetes duration 19.0y, BMI 33.8kg/m(2)) in a tertiary care centre. The frequency of insulin dose adjustments was obtained from the last 28days of the patients' diaries. RESULTS Insulin dose adjustment by adjustment rules was used by 33 people (22.1%) and by personal experience/feeling in 111 participants (74.5%). People adjusting by rules were younger (60.9±9.8 vs. 65.7±9.2, p=0.011) and did more insulin dose adjustments per 28days (50.0±31.0 vs. 33.4±23.5, p=0.016). HbA1c and incidence of hypoglycaemia were comparable. There were no differences in satisfaction of treatment, quality of life as well as current well-being between the groups. CONCLUSIONS Only a fifth of the participants used the rule trained within the education programme to adjust their insulin dose. The majority adjusted their insulin dose by personal experience/feeling. However, people in both groups were able to adjust their insulin dose. Although people using adjustment rules adjust their insulin dose more frequently, HbA1c and the incidence of hypoglycaemia was similar compared to those using personal experience/feeling.
Collapse
Affiliation(s)
- G Kramer
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany.
| | - N Kuniss
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - C Kloos
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - T Lehmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Jena, Germany
| | - N Müller
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - B Sanow
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - S Lorkowski
- Institute of Nutrition, Friedrich Schiller University Jena, Germany; Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD), Halle-Jena-Leipzig, Germany
| | - G Wolf
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - U A Müller
- Endocrinology and Metabolic Diseases, Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| |
Collapse
|
34
|
Kuniss N, Kramer G, Müller N, Kloos C, Lehmann T, Lorkowski S, Wolf G, Müller U. Diabetes-Related Burden and Distress is Low in People with Diabetes at Outpatient Tertiary Care Level. Exp Clin Endocrinol Diabetes 2016; 124:307-12. [DOI: 10.1055/s-0042-103685] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- N. Kuniss
- Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - G. Kramer
- Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - N. Müller
- Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - C. Kloos
- Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - T. Lehmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Jena, Germany
| | - S. Lorkowski
- Institute of Nutrition, Friedrich Schiller University Jena, Germany
| | - G. Wolf
- Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| | - U. Müller
- Department of Internal Medicine III, Jena University Hospital, Jena, Germany
| |
Collapse
|
35
|
Kramer G, Kuniss N, Kloos C, Müller N, Wolf G, Müller UA. Assoziation zwischen der Frequenz von Insulindosisanpassungen und der Stoffwechseleinstellung bei Menschen mit Diabetes Typ 1. DIABETOL STOFFWECHS 2016. [DOI: 10.1055/s-0036-1580860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
36
|
Kuniss N, Kramer G, Kloos C, Müller N, Müller UA. Eine strukturierte Intervention im Rahmen einer diabetologischen Tagesklinik reduziert diabetesbezogene Belastungen bei Menschen mit Diabetes mellitus Typ 1 und 2. DIABETOL STOFFWECHS 2016. [DOI: 10.1055/s-0036-1580841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
37
|
Langsteger W, Rezaee A, Loidl W, Geinitz HS, Fitz F, Steinmair M, Broinger G, Pallwien-Prettner L, Beheshti M, Imamovic L, Beheshti M, Rendl G, Hackl D, Tsybrovsky O, Steinmair M, Emmanuel K, Moinfar F, Pirich C, Langsteger W, Bytyqi A, Karanikas G, Mayerhöfer M, Koperek O, Niederle B, Hartenbach M, Beyer T, Herrmann K, Czernin J, Rausch I, Rust P, DiFranco MD, Lassen M, Stadlbauer A, Mayerhöfer ME, Hartenbach M, Hacker M, Beyer T, Binzel K, Magnussen R, Wei W, Knopp MU, Flanigan DC, Kaeding C, Knopp MV, Leisser A, Nejabat M, Hartenbach M, Kramer G, Krainer M, Hacker M, Haug A, Lehnert W, Schmidt K, Kimiaei S, Bronzel M, Kluge A, Wright CL, Binzel K, Zhang J, Wuthrick E, Maniawski P, Knopp MV, Blaickner M, Rados E, Huber A, Dulovits M, Kulkarni H, Wiessalla S, Schuchardt C, Baum RP, Knäusl B, Georg D, Bauer M, Wulkersdorfer B, Wadsak W, Philippe C, Haslacher H, Zeitlinger M, Langer O, Bauer M, Feldmann M, Karch R, Wadsak W, Zeitlinger M, Koepp MJ, Asselin MC, Pataraia E, Langer O, Zeilinger M, Philippe C, Dumanic M, Pichler F, Pilz J, Hacker M, Wadsak W, Mitterhauser M, Nics L, Steiner B, Hacker M, Mitterhauser M, Wadsak W, Traxl A, Wanek T, Kryeziu K, Mairinger S, Stanek J, Berger W, Kuntner C, Langer O, Mairinger S, Wanek T, Traxl A, Krohn M, Stanek J, Filip T, Sauberer M, Kuntner C, Pahnke J, Langer O, Svatunek D, Denk C, Wilkovitsch M, Wanek T, Filip T, Kuntner-Hannes C, Fröhlich J, Mikula H, Denk C, Svatunek D, Wanek T, Mairinger S, Stanek J, Filip T, Fröhlich J, Mikula H, Kuntner-Hannes C, Balber T, Singer J, Fazekas J, Rami-Mark C, Berroterán-Infante N, Jensen-Jarolim E, Wadsak W, Hacker M, Viernstein H, Mitterhauser M, Denk C, Svatunek D, Sohr B, Mikula H, Fröhlich J, Wanek T, Kuntner-Hannes C, Filip T, Pfaff S, Philippe C, Mitterhauser M, Hartenbach M, Hacker M, Wadsak W, Wanek T, Halilbasic E, Visentin M, Mairinger S, Stieger B, Kuntner C, Trauner M, Langer O, Lam P, Aistleitner M, Eichinger R, Artner C, Eidherr H, Vraka C, Haug A, Mitterhauser M, Nics L, Hartenbach M, Hacker M, Wadsak W, Kvaternik H, Müller R, Hausberger D, Zink C, Aigner RM, Cossío U, Asensio M, Montes A, Akhtar S, Te Welscher Y, van Nostrum R, Gómez-Vallejo V, Llop J, VandeVyver F, Barclay T, Lippens N, Troch M, Hehenwarter L, Egger B, Holzmannhofer J, Rodrigues-Radischat M, Pirich C, Pötsch N, Rausch I, Wilhelm D, Weber M, Furtner J, Karanikas G, Wöhrer A, Mitterhauser M, Hacker M, Traub-Weidinger T, Cassou-Mounat T, Balogova S, Nataf V, Calzada M, Huchet V, Kerrou K, Devaux JY, Mohty M, Garderet L, Talbot JN, Stanzel S, Pregartner G, Schwarz T, Bjelic-Radisic V, Liegl-Atzwanger B, Aigner R, Stanzel S, Quehenberger F, Aigner RM, Marković AK, Janković M, Jerković VM, Paskaš M, Pupić G, Džodić R, Popović D, Fornito MC, Familiari D, Koranda P, Polzerová H, Metelková I, Henzlová L, Formánek R, Buriánková E, Kamínek M, Thomson WH, Lewis C, Thomson WH, O'Brien J, James G, Notghi A, Huber H, Stelzmüller I, Wunn R, Mandl M, Fellner F, Lamprecht B, Gabriel M, Fornito MC, Leonardi G, Thomson WH, O'Brien J, James G, Hudzietzová J, Sabol J, Fülöp M. 32nd International Austrian Winter Symposium : Zell am See, the Netherlands. 20-23 January 2016. EJNMMI Res 2016; 6:32. [PMID: 27090254 PMCID: PMC4835428 DOI: 10.1186/s13550-016-0168-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 01/28/2016] [Indexed: 11/22/2022] Open
Abstract
A1 68Ga-PSMA PET/CT in staging and restaging of Prostate Cancer Patients: comparative study with 18F-Choline PET/CT W Langsteger, A Rezaee, W Loidl, HS Geinitz, F Fitz, M Steinmair, G Broinger, L Pallwien-Prettner, M Beheshti A2 F18 Choline PET – CT: an accurate diagnostic tool for the detection of parathyroid adenoma? L Imamovic, M Beheshti, G Rendl, D Hackl, O Tsybrovsky, M Steinmair, K Emmanuel, F Moinfar, C Pirich, W Langsteger A3 [18F]Fluoro-DOPA-PET/CT in the primary diagnosis of medullary thyroid carcinoma A Bytyqi, G Karanikas, M Mayerhöfer, O Koperek, B Niederle, M Hartenbach A4 Variations of clinical PET/MR operations: An international survey on the clinical utilization of PET/MRI T Beyer, K Herrmann, J Czernin A5 Standard Dixon-based attenuation correction in combined PET/MRI: Reproducibility and the possibility of Lean body mass estimation I Rausch, P Rust, MD DiFranco, M Lassen, A Stadlbauer, ME Mayerhöfer, M Hartenbach, M Hacker, T Beyer A6 High resolution digital FDG PET/MRI imaging for assessment of ACL graft viability K Binzel, R Magnussen, W Wei, MU Knopp, DC Flanigan, C Kaeding, MV Knopp A7 Using pre-existing hematotoxicity as predictor for severe side effects and number of treatment cycles of Xofigo therapy A Leisser, M Nejabat, M Hartenbach, G Kramer, M Krainer, M Hacker, A Haug A8 QDOSE – comprehensive software solution for internal dose assessment Wencke Lehnert, Karl Schmidt, Sharok Kimiaei, Marcus Bronzel, Andreas Kluge A9 Clinical impact of Time-of-Flight on next-generation digital PET imaging of Yttrium-90 radioactivity following liver radioembolization CL Wright, K Binzel, J Zhang, Evan Wuthrick, Piotr Maniawski, MV Knopp A10 Snakes in patients! Lessons learned from programming active contours for automated organ segmentation M Blaickner, E Rados, A Huber, M Dulovits, H Kulkarni, S Wiessalla, C Schuchardt, RP Baum, B Knäusl, D Georg A11 Influence of a genetic polymorphism on brain uptake of the dual ABCB1/ABCG2 substrate [11C]tariquidar M Bauer, B Wulkersdorfer, W Wadsak, C Philippe, H Haslacher, M Zeitlinger, O Langer A12 Outcome prediction of temporal lobe epilepsy surgery from P-glycoprotein activity. Pooled analysis of (R)-[11C]-verapamil PET data from two European centres M Bauer, M Feldmann, R Karch, W Wadsak, M Zeitlinger, MJ Koepp, M-C Asselin, E Pataraia, O Langer A13 In-vitro and in-vivo characterization of [18F]FE@SNAP and derivatives for the visualization of the melanin concentrating hormone receptor 1 M Zeilinger, C Philippe, M Dumanic, F Pichler, J Pilz, M Hacker, W Wadsak, M Mitterhauser A14 Reducing time in quality control leads to higher specific radioactivity of short-lived radiotracers L Nics, B Steiner, M Hacker, M Mitterhauser, W Wadsak A15 In vitro 11C-erlotinib binding experiments in cancer cell lines with epidermal growth factor receptor mutations A Traxl, Thomas Wanek, Kushtrim Kryeziu, Severin Mairinger, Johann Stanek, Walter Berger, Claudia Kuntner, Oliver Langer A16 7-[11C]methyl-6-bromopurine, a PET tracer to measure brain Mrp1 function: radiosynthesis and first PET evaluation in mice S Mairinger, T Wanek, A Traxl, M Krohn, J Stanek, T Filip, M Sauberer, C Kuntner, J Pahnke, O Langer A17 18F labeled azidoglucose derivatives as “click” agents for pretargeted PET imaging D Svatunek, C Denk, M Wilkovitsch, T Wanek, T Filip, C Kuntner-Hannes, J Fröhlich, H Mikula A18 Bioorthogonal tools for PET imaging: development of radiolabeled 1,2,4,5-Tetrazines C Denk, D Svatunek, T Wanek, S Mairinger, J Stanek, T Filip, J Fröhlich, H Mikula, C Kuntner-Hannes A19 Preclinical evaluation of [18F]FE@SUPPY- a new PET-tracer for oncology T Balber, J Singer, J Fazekas, C Rami-Mark, N Berroterán-Infante, E Jensen-Jarolim, W Wadsak, M Hacker, H Viernstein, M Mitterhauser A20 Investigation of Small [18F]-Fluoroalkylazides for Rapid Radiolabeling and In Vivo Click Chemistry C Denk, D Svatunek, B Sohr, H Mikula, J Fröhlich, T Wanek, C Kuntner-Hannes, T Filip A21 Microfluidic 68Ga-radiolabeling of PSMA-HBED-CC using a flow-through reactor S Pfaff, C Philippe, M Mitterhauser, M Hartenbach, M Hacker, W Wadsak A22 Influence of 24-nor-ursodeoxycholic acid on hepatic disposition of [18F]ciprofloxacin measured with positron emission tomography T Wanek, E Halilbasic, M Visentin, S Mairinger, B Stieger, C Kuntner, M Trauner, O Langer A23 Automated 18F-flumazenil production using chemically resistant disposable cassettes P Lam, M Aistleitner, R Eichinger, C Artner A24 Similarities and differences in the synthesis and quality control of 177Lu-DOTA-TATE, 177Lu -HA-DOTA-TATE and 177Lu-DOTA-PSMA (PSMA-617) H Eidherr, C Vraka, A Haug, M Mitterhauser, L Nics, M Hartenbach, M Hacker, W Wadsak A25 68Ga- and 177Lu-labelling of PSMA-617 H Kvaternik, R Müller, D Hausberger, C Zink, RM Aigner A26 Radiolabelling of liposomes with 67Ga and biodistribution studies after administration by an aerosol inhalation system U Cossío, M Asensio, A Montes, S Akhtar, Y te Welscher, R van Nostrum, V Gómez-Vallejo, J Llop A27 Fully automated quantification of DaTscan SPECT: Integration of age and gender differences F VandeVyver, T Barclay, N Lippens, M Troch A28 Lesion-to-background ratio in co-registered 18F-FET PET/MR imaging – is it a valuable tool to differentiate between low grade and high grade brain tumor? L Hehenwarter, B Egger, J Holzmannhofer, M Rodrigues-Radischat, C Pirich A29 [11C]-methionine PET in gliomas - a retrospective data analysis of 166 patients N Pötsch, I Rausch, D Wilhelm, M Weber, J Furtner, G Karanikas, A Wöhrer, M Mitterhauser, M Hacker, T Traub-Weidinger A30 18F-Fluorocholine versus 18F-Fluorodeoxyglucose for PET/CT imaging in patients with relapsed or progressive multiple myeloma: a pilot study T Cassou-Mounat, S Balogova, V Nataf, M Calzada, V Huchet, K Kerrou, J-Y Devaux, M Mohty, L Garderet, J-N Talbot A31 Prognostic benefit of additional SPECT/CT in sentinel lymph node mapping of breast cancer patients S Stanzel, G Pregartner, T Schwarz, V Bjelic-Radisic, B Liegl-Atzwanger, R Aigner A32 Evaluation of diagnostic value of TOF-18F-FDG PET/CT in patients with suspected pancreatic cancer S Stanzel, F Quehenberger, RM Aigner A33 New quantification method for diagnosis of primary hyperpatahyroidism lesions and differential diagnosis vs thyropid nodular disease in dynamic scintigraphy A Koljević Marković, Milica Janković, V Miler Jerković, M Paskaš, G Pupić, R Džodić, D Popović A34 A rare case of diffuse pancreatic involvement in patient with merkel cell carcinoma detected by 18F-FDG MC Fornito, D Familiari A35 TSH-stimulated 18F-FDG PET/CT in the diagnosis of recurrent/metastatic radioiodine-negative differentiated thyroid carcinomas in patients with various thyroglobuline levels P Koranda, H Polzerová, I Metelková, L Henzlová, R Formánek, E Buriánková, M Kamínek A36 Breast Dose from lactation following I131 treatment WH Thomson, C Lewis A37 A new concept for performing SeHCAT studies with the gamma camera WH Thomson, J O’Brien, G James, A Notghi A38 Whole body F-18-FDG-PET and tuberculosis: sensitivity compared to x-ray-CT H Huber, I Stelzmüller, R Wunn, M Mandl, F Fellner, B Lamprecht, M Gabriel A39 Emerging role 18F-FDG PET-CT in the diagnosis and follow-up of the infection in heartware ventricular assist system (HVAD) MC Fornito, G Leonardi A40 Validation of Poisson resampling software WH Thomson, J O’Brien, G James A41 Protection of PET nuclear medicine personnel: problems in satisfying dose limit requirements J Hudzietzová, J Sabol, M Fülöp
Collapse
Affiliation(s)
- W Langsteger
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - A Rezaee
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - W Loidl
- Prostate Cancer Center Linz, Department of Urology, St Vincent's Hospital, Linz, Austria
| | - H S Geinitz
- Department of Radiation Oncology, St Vincent's Hospital, Linz, Austria
| | - F Fitz
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - M Steinmair
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - G Broinger
- Department of Radiology, St Vincent's Hospital, Linz, Austria
| | - L Pallwien-Prettner
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - M Beheshti
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - L Imamovic
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - M Beheshti
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - G Rendl
- Department of Nuclear Medicine and Endocrinology, Paracelsus Private Medical University Salzburg, St Vincent's Hospital, Linz, Austria
| | - D Hackl
- Department of Surgery, St Vincent's Hospital, Linz, Austria
| | - O Tsybrovsky
- Department of Pathology, St Vincent's Hospital, Linz, Austria
| | - M Steinmair
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - K Emmanuel
- Department of Surgery, St Vincent's Hospital, Linz, Austria
| | - F Moinfar
- Department of Pathology, St Vincent's Hospital, Linz, Austria
| | - C Pirich
- Department of Nuclear Medicine and Endocrinology, Paracelsus Private Medical University Salzburg, St Vincent's Hospital, Linz, Austria
| | - W Langsteger
- PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - A Bytyqi
- PET-CT Center Linz, Department of Nuclear Medicine & Endocrinology, St Vincent's Hospital, Linz, Austria
| | - G Karanikas
- Medical University of Vienna, Division of Nuclear Medicine, Vienna, Austria
| | - M Mayerhöfer
- Medical University of Vienna, Division of General and Pediatric Radiology, Vienna, Austria
| | - O Koperek
- Medical University of Vienna, Institute of Pathology, Vienna, Austria
| | - B Niederle
- Medical University Vienna, Division of Surgical Endocrinology, Vienna, Austria
| | - M Hartenbach
- Medical University of Vienna, Division of Nuclear Medicine, Vienna, Austria
| | - T Beyer
- QIMP, CMPBME, Medical University of Vienna, ᅟ, Austria
| | - K Herrmann
- Department of Nuclear Medicine, University of Würzburg, ᅟ, Germany.,Department of Molecular and Medical Pharmacology, UCLA, ᅟ, USA
| | - J Czernin
- Department of Molecular and Medical Pharmacology, UCLA, ᅟ, USA
| | - I Rausch
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - P Rust
- Department of Nutritional Sciences, University of Vienna, ᅟ, Austria
| | - M D DiFranco
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - M Lassen
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - A Stadlbauer
- Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - M E Mayerhöfer
- Division of General and Pediatric Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - M Hartenbach
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, ᅟ, Austria
| | - T Beyer
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, ᅟ, Austria
| | - K Binzel
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - R Magnussen
- Sports Medicine, The Ohio State University, Columbus, OH, USA
| | - W Wei
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - M U Knopp
- Sports Medicine, Pepperdine University, Malibu, CA, USA
| | - D C Flanigan
- Sports Medicine, The Ohio State University, Columbus, OH, USA
| | - C Kaeding
- Sports Medicine, The Ohio State University, Columbus, OH, USA
| | - M V Knopp
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - A Leisser
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Nejabat
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hartenbach
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - G Kramer
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Krainer
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - A Haug
- Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - Wencke Lehnert
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Karl Schmidt
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Sharok Kimiaei
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Marcus Bronzel
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - Andreas Kluge
- ABX-CRO advanced pharmaceutical services (Forschungsgesellschaft mbH), Dresden, Germany
| | - C L Wright
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - K Binzel
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - J Zhang
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - Evan Wuthrick
- Radiation Oncology, Wexner Medical Center at The Ohio State University, Columbus, OH, USA
| | - Piotr Maniawski
- Clinical Science - Nuclear Medicine, Philips Healthcare, Cleveland, OH, USA
| | - M V Knopp
- Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, USA
| | - M Blaickner
- AIT Austrian Institute of Technology, Health & Environment Department -Biomedical Systems, Vienna, Austria
| | - E Rados
- AIT Austrian Institute of Technology, Health & Environment Department -Biomedical Systems, Vienna, Austria
| | - A Huber
- AIT Austrian Institute of Technology, Health & Environment Department -Biomedical Systems, Vienna, Austria
| | - M Dulovits
- Woogieworks Animation Studio, Perchtoldsdorf, Austria
| | - H Kulkarni
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - S Wiessalla
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - C Schuchardt
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - R P Baum
- THERANOSTICS Center for Molecular Radiotherapy and Molecular Imaging (PET/CT) ENETS Center of Excellence, Zentralklinik Bad Berka, ᅟ, Germany
| | - B Knäusl
- Department of Radiation Oncology, Division of Medical Radiation Physics, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, ᅟ, Austria
| | - D Georg
- Department of Radiation Oncology, Division of Medical Radiation Physics, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, ᅟ, Austria
| | - M Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - B Wulkersdorfer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - H Haslacher
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - M Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - O Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Health and Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Bauer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.,Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - M Feldmann
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.,University College London, London, UK
| | - R Karch
- Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - M Zeitlinger
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - M J Koepp
- University College London, London, UK
| | - M-C Asselin
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - E Pataraia
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - O Langer
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - M Zeilinger
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Dumanic
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - F Pichler
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - J Pilz
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Ludwig Boltzmann Institute for Applied Diagnostics, Vienna, Austria
| | - L Nics
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - B Steiner
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Ludwig Boltzmann Institute for Applied Diagnostics, Vienna, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - A Traxl
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Thomas Wanek
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Kushtrim Kryeziu
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Severin Mairinger
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Johann Stanek
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Walter Berger
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Claudia Kuntner
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - Oliver Langer
- Biomedical Systems, Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - S Mairinger
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - T Wanek
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - A Traxl
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Krohn
- Department of Neuro-/Pathology, University of Oslo (UiO) and Oslo University Hospital (OUS), Oslo, Norway
| | - J Stanek
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - T Filip
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Sauberer
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - C Kuntner
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - J Pahnke
- Department of Neuro-/Pathology, University of Oslo (UiO) and Oslo University Hospital (OUS), Oslo, Norway
| | - O Langer
- Health & Environment Department, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
| | - D Svatunek
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - C Denk
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - M Wilkovitsch
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - T Wanek
- Austrian Institute of Technology, Vienna, Austria
| | - T Filip
- Austrian Institute of Technology, Vienna, Austria
| | | | - J Fröhlich
- Austrian Institute of Technology, Vienna, Austria
| | - H Mikula
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - C Denk
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - D Svatunek
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - T Wanek
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - S Mairinger
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - J Stanek
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - T Filip
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - J Fröhlich
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - H Mikula
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - C Kuntner-Hannes
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - T Balber
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - J Singer
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Immunology and Oncology, Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, ᅟ, Austria.,Department of Comparative Medicine, Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, ᅟ, Austria
| | - J Fazekas
- Department of Immunology and Oncology, Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, ᅟ, Austria.,Department of Comparative Medicine, Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, ᅟ, Austria
| | - C Rami-Mark
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - N Berroterán-Infante
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - E Jensen-Jarolim
- Department of Immunology and Oncology, Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, ᅟ, Austria.,Department of Comparative Medicine, Messerli Research Institute of the University of Veterinary Medicine Vienna, Medical University Vienna and University Vienna, ᅟ, Austria
| | - W Wadsak
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - H Viernstein
- Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Life Sciences, University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - C Denk
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - D Svatunek
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - B Sohr
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - H Mikula
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - J Fröhlich
- Institute of Applied Synthetic Chemistry, TU Wien, Vienna, Austria
| | - T Wanek
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - C Kuntner-Hannes
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - T Filip
- Austrian Institute of Technology, Biomedical Systems, Vienna, Austria
| | - S Pfaff
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Inorganic Chemistry, University of Vienna, ᅟ, Austria
| | - C Philippe
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,LBI for Applied Diagnostics, Vienna, Austria
| | - M Hartenbach
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Inorganic Chemistry, University of Vienna, ᅟ, Austria
| | - T Wanek
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - E Halilbasic
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - M Visentin
- Department of Clinical Pharmacology and Toxicology, University Hospital, Zurich, Switzerland
| | - S Mairinger
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - B Stieger
- Department of Clinical Pharmacology and Toxicology, University Hospital, Zurich, Switzerland
| | - C Kuntner
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria
| | - M Trauner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - O Langer
- Health and Environment Department, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Seibersdorf, Austria.,Department of Clinical Pharmacology, Medical University of Vienna, ᅟ, Austria
| | - P Lam
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - M Aistleitner
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - R Eichinger
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - C Artner
- IASON GmbH, Feldkirchnerstraße 4, A-8054, Graz-Seiersberg, Austria
| | - H Eidherr
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - C Vraka
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, ᅟ, Austria
| | - A Haug
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,LBI for Applied Diagnostics, Vienna, Austria
| | - L Nics
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria.,Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, ᅟ, Austria
| | - M Hartenbach
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - W Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, ᅟ, Austria
| | - H Kvaternik
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - R Müller
- Seibersdorf Labor GmbH, ᅟ, Austria
| | - D Hausberger
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - C Zink
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - R M Aigner
- Department of Radiology, Division of Nuclear Medicine, Medical University of Graz, ᅟ, Austria
| | - U Cossío
- CIC biomaGUNE, Edificio Empresarial "C", Paseo de Miramón 182, 20009, Donostia, Spain
| | - M Asensio
- Engineering Department, Ingeniatrics Tecnologies, P.I. Parque Plata, Camino Mozárabe 41, 41900, Camas-Sevilla, Spain
| | - A Montes
- Engineering Department, Ingeniatrics Tecnologies, P.I. Parque Plata, Camino Mozárabe 41, 41900, Camas-Sevilla, Spain
| | - S Akhtar
- Department of Pharmaceutics, University of Utrecht, Utrecht, The Netherlands
| | - Y Te Welscher
- Department of Pharmaceutics, University of Utrecht, Utrecht, The Netherlands
| | - R van Nostrum
- Department of Pharmaceutics, University of Utrecht, Utrecht, The Netherlands
| | - V Gómez-Vallejo
- CIC biomaGUNE, Edificio Empresarial "C", Paseo de Miramón 182, 20009, Donostia, Spain
| | - J Llop
- CIC biomaGUNE, Edificio Empresarial "C", Paseo de Miramón 182, 20009, Donostia, Spain
| | | | | | | | - M Troch
- AZ St-Lucas Gent, ᅟ, Belgium
| | - L Hehenwarter
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - B Egger
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - J Holzmannhofer
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - M Rodrigues-Radischat
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - C Pirich
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Private Medical University Salzburg, ᅟ, Germany
| | - N Pötsch
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - I Rausch
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - D Wilhelm
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - M Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - J Furtner
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - G Karanikas
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - A Wöhrer
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - M Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - M Hacker
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - T Traub-Weidinger
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - T Cassou-Mounat
- Department of Nuclear Medicine, Hôpital Saint Antoine, AP-HP et Université Pierre et Marie Curie (UPMC), Paris, France.,Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - S Balogova
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France.,Department of Nuclear Medicine, Comenius university & St. Elisabeth Oncology Institute, Bratislava, Slovakia
| | - V Nataf
- Radiopharmacy, Hôpital Tenon, AP-HP, Paris, France
| | - M Calzada
- Department of Nuclear Medicine, Hôpital Saint Antoine, AP-HP et Université Pierre et Marie Curie (UPMC), Paris, France
| | - V Huchet
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - K Kerrou
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - J-Y Devaux
- Department of Nuclear Medicine, Hôpital Saint Antoine, AP-HP et Université Pierre et Marie Curie (UPMC), Paris, France
| | - M Mohty
- Hematology, Université Pierre et Marie Curie, Paris, France.,Hôpital Saint-Antoine, AP-HP, Paris, France.,INSERM UMRs U938, Paris, France
| | - L Garderet
- Hematology, Université Pierre et Marie Curie, Paris, France
| | - J-N Talbot
- Department of Nuclear Medicine, Hôpital Tenon, AP-HP & Université Pierre et Marie Curie (UPMC), Paris, France
| | - S Stanzel
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - G Pregartner
- Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, ᅟ, Austria
| | - T Schwarz
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - V Bjelic-Radisic
- Medical University of Graz, Department of Gynecology and Obstetrics, ᅟ, Austria
| | | | - R Aigner
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - S Stanzel
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - F Quehenberger
- Institute for Medical Informatics, Statistics, and Documentation, ᅟ, Austria
| | - R M Aigner
- Medical University of Graz, Department of Radiology, Division of Nuclear Medicine, ᅟ, Austria
| | - A Koljević Marković
- Institute of Oncology and Radiology of Serbia, Pasterova 14, 11000, Belgrade, Serbia
| | - Milica Janković
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - V Miler Jerković
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - M Paskaš
- National Cancer Research Center Serbia, Innovation Center, University of Belgrade - Faculty of Electrical Engineering, ᅟ, Serbia
| | - G Pupić
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - R Džodić
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - D Popović
- National Cancer Research Center Serbia, University of Belgrade- School of Electrical Engineering, ᅟ, Serbia
| | - M C Fornito
- Nuclear Medicine Department and PET/CT center - A.R.N.A.S " Garibaldi - Nesima", Via Palermo 636, 95122, Catania, Italy
| | - D Familiari
- Nuclear Medicine Department and PET/CT center - A.R.N.A.S " Garibaldi - Nesima", Via Palermo 636, 95122, Catania, Italy
| | - P Koranda
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - H Polzerová
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - I Metelková
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - L Henzlová
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - R Formánek
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - E Buriánková
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - M Kamínek
- Department of Nuclear Medicine, Palacky University and University Hospital, Olomouc, Czech Republic
| | - W H Thomson
- Physics and Nuclear Medicine Department City Hospital, Birmingham, UK
| | - C Lewis
- Maternity Department City Hospital, Birmingham, UK
| | - W H Thomson
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - J O'Brien
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - G James
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - A Notghi
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - H Huber
- Institut für Nuklearmedizin und Endokrinologie, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - I Stelzmüller
- Abteilung für Lungenkrankheiten, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - R Wunn
- Zentrales Radiologie-Institut, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - M Mandl
- Abteilung für Lungenkrankheiten, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - F Fellner
- Zentrales Radiologie-Institut, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - B Lamprecht
- Abteilung für Lungenkrankheiten, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - M Gabriel
- Institut für Nuklearmedizin und Endokrinologie, AKH Linz/Kepler Universitätsklinikum, ᅟ, Austria
| | - M C Fornito
- Nuclear Medicine Department and PET/CT center - A.R.N.A.S " Garibaldi - Nesima", Via Palermo 636, 95122, Catania, Italy
| | - G Leonardi
- Heart-Failure Department - Azienda Ospedaliera Universitaria "Policlinico- Vittorio Emanuele", Catania, Italy
| | - W H Thomson
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - J O'Brien
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - G James
- Physics and Nuclear Medicine Department, City Hospital, Birmingham, UK
| | - J Hudzietzová
- Faculty of Biomedical Engineering, CTU, Prague, Czech Republic
| | - J Sabol
- Faculty of Safety Management, PACR, Prague, Czech Republic
| | - M Fülöp
- Faculty of Public Health, SMU, Bratislava, Slovak Republic
| |
Collapse
|
38
|
Schiel R, Burgard D, Perenthaler T, Stein G, Kramer G, Steveling A. Use and Effectiveness of Continuous Subcutaneous Insulin Infusion (CSII) and Multiple Daily Insulin Injection Therapy (MIT) in Children, Adolescents and Young Adults with Type 1 Diabetes Mellitus. Exp Clin Endocrinol Diabetes 2016; 124:99-104. [PMID: 26895277 DOI: 10.1055/s-0042-101155] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
UNLABELLED Today continuous subcutaneous insulin infusion (CSII) is frequently used in children and adolescents with type 1 diabetes mellitus. The present cross-sectional trial aimed to document current practice, quality of diabetes control and incidence of acute complications in different age-groups under CSII vs. multiple daily insulin injection therapy (MIT). Moreover the survey analyzed socio-demographic backgrounds of the patients. PATIENTS AND METHODS A total of 901 patients (age 11.5±4.0, diabetes duration 4.0±3.6 years) was entered in the database. Clinical data, laboratory parameters and, using a standardized questionnaire, socio-demographic data were assessed. For age-related analyses patients were allocated to 4 groups: pre-school children (< 6 years), pre-adolescents (≥ 6 and<11 years), adolescents (≥ 11 and<16 years) and young adults (≥ 16 and<22 years). RESULTS Of the cohort n=194 had a CSII, n=707 had a MIT. Patients with CSII vs. MIT had a longer diabetes duration, they used more frequently insulin analogues, performed more frequently blood-glucose self-tests and had a lower insulin dosage per kilogram body weight. In respect of HbA1c, the mean amplitude of blood-glucose excursions, but also of lipids, creatinine, microalbuminuria and blood pressure, there were no differences in neither age-group between patients with CSII and MIT. In patients with CSII and MIT, there was a tendency (p<0.05) towards an increase in HbA1c in adolescents and young adults and there was a decrease (p<0.05 for tendency) in the frequency of hypoglycaemia from the age group of young adults to pre-school children. Adolescents and young adults with CSII had a higher educational level. Pre-adolescents, adolescents and young adults with CSII have also better diabetes-related knowledge. Moreover, in all age-groups, the parents of patients with CSII had mostly a lower unemployment rate and higher educational levels. CONCLUSIONS The present analyses demonstrate that in all age-groups CSII provides convenient and flexible insulin delivery during routine treatment of type 1 diabetes. There is reasonable quality of diabetes control accompanied by a low incidence of hypoglycaemia and ketoacidosis. However, under CSII and MIT there is an increase of HbA1c towards adolescence. It must also highlighted that CSII seems to be expansive and that CSII is more frequently used in patients with better educational levels and deriving from higher social classes.
Collapse
Affiliation(s)
- R Schiel
- MEDIGREIF-Inselklinik Heringsdorf GmbH, Fachklinik für Kinder und Jugendliche, Ostseebad Heringsdorf, Germany
| | - D Burgard
- MEDIGREIF-Inselklinik Heringsdorf GmbH, Fachklinik für Kinder und Jugendliche, Ostseebad Heringsdorf, Germany
| | - T Perenthaler
- MEDIGREIF-Inselklinik Heringsdorf GmbH, Fachklinik für Kinder und Jugendliche, Ostseebad Heringsdorf, Germany
| | - G Stein
- Internal Medicine, Friedrich-Schiller-University, Jena, Germany
| | - G Kramer
- Internal Medicine, Friedrich-Schiller-University, Jena, Germany
| | - A Steveling
- Internal Medicine A, Ernst-Moritz-Arndt-University, Greifswald, Germany
| |
Collapse
|
39
|
Bollineni VR, Kramer G, Liu Y, Melidis C, deSouza NM. A literature review of the association between diffusion-weighted MRI derived apparent diffusion coefficient and tumour aggressiveness in pelvic cancer. Cancer Treat Rev 2015; 41:496-502. [PMID: 25892290 DOI: 10.1016/j.ctrv.2015.03.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Revised: 03/20/2015] [Accepted: 03/23/2015] [Indexed: 10/23/2022]
Abstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) is used extensively to improve tumour detection and localization because it offers excellent soft tissue contrast between malignant and non-malignant tissues. It also provides a quantitative biomarker; the apparent diffusion coefficient (ADC) can be derived from DW-MRI sequences using multiple diffusion weightings. ADC reflects the tumour microenvironment, e.g. cell membrane integrity and cellularity and has potential for reporting on tumour aggressiveness. This review focuses on the use of the DW-MRI derived imaging biomarker ADC to reflect tumour aggressiveness and its potential impact in managing pelvic cancer patients. The clinical studies which evaluate the role of ADC in pelvic tumours (prostate, bladder, rectal, ovary, cervix and uterus) are summarized and the evidence linking ADC values with tumour aggressiveness is evaluated.
Collapse
Affiliation(s)
- V R Bollineni
- European Organization for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - G Kramer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Y Liu
- European Organization for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - C Melidis
- European Organization for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - N M deSouza
- CRUK Cancer Imaging Centre, MRI Unit, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, Surrey, UK
| |
Collapse
|
40
|
Kramer G, Kuniss N, Kloos C, Wolf G, Müller UA. Wie passen Patienten mit Typ-1-Diabetes mellitus ihre Insulindosis an? Prospektive Analyse vor und nach Teilnahme an einem SBSP? DIABETOL STOFFWECHS 2015. [DOI: 10.1055/s-0035-1549651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
41
|
Abstract
Data set description: This data set is composed by label-free alternate-scanning LC-MS/MS proteomics analysis human and Wistar rat pancreatic islet endocrine cells. The mass spectrometry data of the human and rat pancreatic beta cells and the resulting proteome search output from ProteinLynx GlobalSERVER (PLGS) have been deposited to the ProteomeXchange Consortium [1] via the PRIDE partner repository with the dataset identifiers PXD001539 (human) and PXD001816 (rat). From these mass spectrometry data, 'relative molar amount units' between cell types and across species were calculated. Biological relevance: These data provide a quantitative view on the unfractionated proteomes of human and rat beta and alpha cells. It is likely biased towards the proteins with higher molar abundance, relating to core functional pathways, but also includes several proteins with an islet-enriched expression. The quality of the cell preps is state-of-the-art, and the label-free quantitation is both precise and accurate, allowing detailed quantitative analysis.
Collapse
Affiliation(s)
- B Brackeva
- B-Probe, Diabetes Research Center, Vrije Universiteit Brussel (VUB), Belgium ; Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - G Kramer
- Department of Medical Biochemistry, Academisch Medisch Centrum, Amsterdam, The Netherlands
| | | | - G A Martens
- B-Probe, Diabetes Research Center, Vrije Universiteit Brussel (VUB), Belgium ; Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| |
Collapse
|
42
|
Brackeva B, De Punt V, Kramer G, Costa O, Verhaeghen K, Stangé G, Sadones J, Xavier C, Aerts JMFG, Gorus FK, Martens GA. Potential of UCHL1 as biomarker for destruction of pancreatic beta cells. J Proteomics 2015; 117:156-67. [PMID: 25638021 DOI: 10.1016/j.jprot.2015.01.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2014] [Revised: 12/09/2014] [Accepted: 01/09/2015] [Indexed: 01/08/2023]
Abstract
UNLABELLED There is a clinical need for plasma tests for real-time detection of beta cell destruction, as surrogate endpoint in islet transplantation and immunoprevention trials in type 1 diabetes. This study reports on the use of label-free LC-MS/MS proteomics for bottom-up selection of candidate biomarkers. Ubiquitin COOH-terminal hydrolase 1 (UCHL1) was identified as abundant protein in rat and human beta cells, showing promising beta cell-selectivity, and was selected for further validation in standardized toxicity models. In vitro, H2O2-induced necrosis of INS-1 cells and human islets resulted in intracellular UCHL1 depletion and its extracellular discharge. In vivo, streptozotocin progressively depleted UCHL1 from islet cores and in 50% of animals, an associated plasma UCHL1 surge was detected preceding the GAD65 peak. UCHL1 was cleared with a half-life of 20min. Whole-body dynamic planar imaging of (99m)-Technetium-labeled UCHL1 indicated a rapid UCHL1 uptake in the liver and spleen, followed by urinary excretion of mainly proteolytic UCHL1 fragments. We conclude that LC-MS/MS proteomics is a useful tool to prioritize biomarkers for beta cell injury with promising molar abundance. Despite its consistent UCHL1 discharge by damaged beta cells in vitro, its in vivo use might be restrained by its rapid elimination from plasma. BIOLOGICAL SIGNIFICANCE Our bottom-up LC-MS/MS proteomics represents a pragmatic approach to identify protein-type biomarkers of pancreatic beta cell injury. UCHL1 successfully passed sequential validation steps of beta cell-selectivity, antigenicity and toxic discharge in vitro. Whole-body dynamic planar imaging of radiolabeled recombinant UCHL1 indicated rapid clearance through the liver, spleen and urinary excretion of proteolytic fragments, likely explaining non-consistent detection in vivo. Integration of kinetic biomarker clearance studies in the a priori selection criteria is recommended before engaging in resource-intensive custom development of sensitive immunoassays for clinical translation.
Collapse
Affiliation(s)
- B Brackeva
- Diabetes Research Center, Vrije Universiteit Brussel (VUB), Belgium; Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Belgium
| | - V De Punt
- Diabetes Research Center, Vrije Universiteit Brussel (VUB), Belgium; Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Belgium
| | - G Kramer
- Department of Medical Biochemistry, Academisch Medisch Centrum, Amsterdam, Netherlands
| | - O Costa
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Belgium
| | - K Verhaeghen
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Belgium
| | - G Stangé
- Diabetes Research Center, Vrije Universiteit Brussel (VUB), Belgium
| | - J Sadones
- Department of Anatomopathology, Universitair Ziekenhuis Brussel, Belgium
| | - C Xavier
- In Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Belgium
| | - J M F G Aerts
- Department of Medical Biochemistry, Academisch Medisch Centrum, Amsterdam, Netherlands
| | - F K Gorus
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Belgium
| | - G A Martens
- Diabetes Research Center, Vrije Universiteit Brussel (VUB), Belgium; Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Belgium.
| |
Collapse
|
43
|
Castrillo M, Bich G, Kramer G, Velazquez J, Rodriguez M, Zapata P, Villalba L. Evaluation of Synthetic and Semi- synthetic Culture Media for Endo-1,4-β- Glucanases Secretion by Trichoderma koningiopsis. ACTA ACUST UNITED AC 2015. [DOI: 10.1016/j.mspro.2015.04.136] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
44
|
Ren X, Domier CW, Kramer G, Luhmann NC, Muscatello CM, Shi L, Tobias BJ, Valeo E. Process to generate a synthetic diagnostic for microwave imaging reflectometry with the full-wave code FWR2D. Rev Sci Instrum 2014; 85:11D863. [PMID: 25430276 DOI: 10.1063/1.4895100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
A synthetic microwave imaging reflectometer (MIR) diagnostic employing the full-wave reflectometer code (FWR2D) has been developed and is currently being used to guide the design of real systems, such as the one recently installed on DIII-D. The FWR2D code utilizes real plasma profiles as input, and it is combined with optical simulation tools for synthetic diagnostic signal generation. A detailed discussion of FWR2D and the process to generate the synthetic signal are presented in this paper. The synthetic signal is also compared to a prescribed density fluctuation spectrum to quantify the imaging quality. An example is presented with H-mode-like plasma profiles derived from a DIII-D discharge, where the MIR focal is located in the pedestal region. It is shown that MIR is suitable for diagnosing fluctuations with poloidal wavenumber up to 2.0 cm(-1) and fluctuation amplitudes less than 5%.
Collapse
Affiliation(s)
- X Ren
- Millimeter and Microwave Research Center, University of California at Davis, Davis, California 95616, USA
| | - C W Domier
- Millimeter and Microwave Research Center, University of California at Davis, Davis, California 95616, USA
| | - G Kramer
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - N C Luhmann
- Millimeter and Microwave Research Center, University of California at Davis, Davis, California 95616, USA
| | - C M Muscatello
- Millimeter and Microwave Research Center, University of California at Davis, Davis, California 95616, USA
| | - L Shi
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - B J Tobias
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| | - E Valeo
- Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA
| |
Collapse
|
45
|
Plug T, Kramer G, Meijers JCM. A role for arginine-12 in thrombin-thrombomodulin-mediated activation of thrombin-activatable fibrinolysis inhibitor. J Thromb Haemost 2014; 12:1717-25. [PMID: 25066897 DOI: 10.1111/jth.12674] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Accepted: 07/14/2014] [Indexed: 11/28/2022]
Abstract
BACKGROUND Thrombin-activatable fibrinolysis inhibitor (TAFI) is a proenzyme that links coagulation and fibrinolysis. TAFI can be activated by thrombin, the thrombin-thrombomodulin complex and plasmin through cleavage of the first 92 amino acids from the enzyme. In silico analysis of the TAFI sequence revealed a potential thrombin cleavage site at Arg12. The aim of this study was to determine whether TAFI can be cleaved at Arg12 and whether this cleavage plays a role in TAFI activation. METHODS A peptide based on the first 18 amino acids of TAFI was used to determine whether thrombin was able to cleave at Arg12. Mass spectrometry was performed to determine whether the Arg12-cleaved peptide was released from full-length TAFI. Furthermore, a TAFI mutant in which Arg12 was replaced by a glutamine (TAFI-R12Q) was constructed and characterized with respect to its activation kinetics. RESULTS The peptide and mass spectrometry data showed that thrombin was able to cleave TAFI at Arg12, but with low efficiency in full-length TAFI. Characterization of TAFI-R12Q showed no difference in thrombin-mediated activation from wild-type TAFI. However, there was an approximately 60-fold impairment in activation of TAFI-R12Q by the thrombin-thrombomodulin complex. CONCLUSIONS Arg12 of TAFI plays an important role in thrombomodulin-mediated TAFI activation by thrombin. Thrombin is able to cleave TAFI at Arg12, but it remains to be determined whether Arg12 is part of an exosite for thrombomodulin or whether cleavage at Arg12 accelerates thrombomodulin-mediated TAFI activation.
Collapse
Affiliation(s)
- T Plug
- Department of Experimental Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | | | | |
Collapse
|
46
|
Kramer G, Maj-Hes A, Hobisch A, Shariat S, Loidl W. Multicenter, Randomized, Double-Blind Phase Ii Study of Sorafenib Compared to Placebo with Best Supportive Care After Failure of Docetaxel in Metastatic Castration-Resistant Prostate Cancer. Ann Oncol 2014. [DOI: 10.1093/annonc/mdu336.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
47
|
Kramer G, Wittmann HG, Schuster H. Die Erzeugung von Mutanten des Tabakmosaikvirus durch den Einbau von Fluoruracil in die Virusnucleinsäure. ACTA ACUST UNITED AC 2014. [DOI: 10.1515/znb-1964-0111] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Tobacco mosaic virus samples in which 17, 36 and 56% of the uracil (U) was replaced by 5-fluorouracil (FU) were prepared. The samples were tested for the presence of mutants on various varieties of Nicotiana tabacum. The virus containing 17% FU showed no detectable increase, whereas the samples with 36% and 56% substitution of U by FU showed a 5 -10 fold increase in the number of mutants in comparison with appropriate controls. Evidence is presented that the observed increase is not due to a selection.
Collapse
Affiliation(s)
- G. Kramer
- Aus den Max-Planck-Instituten für Virusforschung und für Biologie, Abt. MELCHERS, Tübingen
| | - H. G. Wittmann
- Aus den Max-Planck-Instituten für Virusforschung und für Biologie, Abt. MELCHERS, Tübingen
| | - H. Schuster
- Aus den Max-Planck-Instituten für Virusforschung und für Biologie, Abt. MELCHERS, Tübingen
| |
Collapse
|
48
|
Abstract
A method for frequency stabilization of 3.39 μm He-Ne lasers, which makes use of the saturation dispersion of the v3 , P(7) methane transition is described. It is shown that with lasers which are stabilized by saturation effects, the absorptive and dispersive properties of the saturation resonance are not precisely distinguishable. This leads to a slightly asymmetric resonance and a shift of the apparent line-center. When using the dispersion for stabilization, the asymmetry can be detected and eliminated. Frequency stabilization to the true line center with an accuracy of 5 x 10-12 was attained
Collapse
Affiliation(s)
- G. Kramer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Bundesallee 100
| | - C. O. Weiß
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Bundesallee 100
| | - J. Helmcke
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Bundesallee 100
| |
Collapse
|
49
|
Kloos C, Kramer G, Müller UA, Schiel R, Merger S, Kerner W, Hofer S, Holl R. Patienten mit Diabetes mellitus Typ 2, welche eine konventionelle Insulintherapie (CT) durchführen, erzielen vergleichbare Therapieergebnisse zu Patienten mit multiplen Insulin-Injektion (MIT) – Daten aus einem computergestützten deutschlandweiten Projekt der Qualitätssicherung (DPV). DIABETOL STOFFWECHS 2014. [DOI: 10.1055/s-0034-1375078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
50
|
Kuniß N, Kramer G, Müller N, Kloos C, Wolf G, Müller UA. Prävalenz depressiver Verstimmungen bei Diabetespatienten in einer Hochschulpoliklinik: Vergleich der Ergebnisse des PAID- und des WHO-5-Fragebogens. DIABETOL STOFFWECHS 2014. [DOI: 10.1055/s-0034-1375114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|