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排序方式: 共有251条查询结果,搜索用时 31 毫秒
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Frits H.A. van Heijster Sandra Heskamp Vincent Breukels Andor Veltien Gerben M. Franssen Kees .F.J. Jansen Otto C. Boerman Jack A. Schalken Tom W.J. Scheenen Arend Heerschap 《NMR in biomedicine》2020,33(10)
Reprogramming of energy metabolism in the development of prostate cancer can be exploited for a better diagnosis and treatment of the disease. The goal of this study was to determine whether differences in glucose and pyruvate metabolism of human prostate cancer cells with dissimilar aggressivenesses can be detected using hyperpolarized [1‐13C]pyruvate MRS and [18F]FDG‐PET imaging, and to evaluate whether these measures correlate. For this purpose, we compared murine xenografts of human prostate cancer LNCaP cells with those of more aggressive PC3 cells. [1‐13C]pyruvate was hyperpolarized by dissolution dynamic nuclear polarization (dDNP) and [1‐13C]pyruvate to lactate conversion was followed by 13C MRS. Subsequently [18F]FDG uptake was investigated by static and dynamic PET measurements. Standard uptake values (SUVs) for [18F]FDG were significantly higher for xenografts of PC3 compared with those of LNCaP. However, we did not observe a difference in the average apparent rate constant kpl of 13C label exchange from pyruvate to lactate between the tumor variants. A significant negative correlation was found between SUVs from [18F]FDG PET measurements and kpl values for the xenografts of both tumor types. The kpl rate constant may be influenced by various factors, and studies with a range of prostate cancer cells in suspension suggest that LDH inhibition by pyruvate may be one of these. Our results indicate that glucose and pyruvate metabolism in the prostate cancer cell models differs from that in other tumor models and that [18F]FDG‐PET can serve as a valuable complementary tool in dDNP studies of aggressive prostate cancer with [1‐13C]pyruvate. 相似文献
34.
Jan Heidkamp Petra L.M. Zusterzeel Adriana C.H. van Engen‐van Grunsven Christiaan G. Overduin Andor Veltien Arie Maat Maroeska M. Rovers Jurgen J. Fütterer 《NMR in biomedicine》2019,32(1)
In the surgical treatment of vulvar squamous‐cell carcinoma (VSCC), tumor‐free margins of 8 mm or more are considered adequate. However, limited perioperative information on the tumor‐free margins other than the surgeon's own estimation is available. The purpose of this study was therefore to investigate the feasibility of ex vivo MRI in localizing VSCC and to assess the surgical tumor‐free margins in fresh radical local excision (RLE) specimens to guide the surgeon during resections. Nine patients with biopsy‐proven VSCC scheduled for RLE were prospectively included. Intact fresh specimens were scanned using a 7 T preclinical MR‐scanner. Whole mount H&E‐stained slides were obtained every 3 mm and correlated with ex vivo MRI. A pathologist annotated VSCC and minimal tumor‐free margins (3 o'clock, 9 o'clock, basal) on the digitalized histological slides. An observer with knowledge of histology (the non‐blinded annotation) and a radiologist blinded to histology (the blinded annotation) separately performed annotation of the same features on ex vivo MRI. Linear correlation and agreement of the ex vivo MRI measurements with histology were assessed. Diagnostic performance for VSCC localization and identification of margins less than 8 mm was expressed as positive and negative predictive values (PPV, NPV). In 153 matched ex vivo MRI slices, the observer correctly identified 79/91 margins as less than 8 mm (PPV 87%) and 110/124 margins as 8 mm or greater (NPV 89%). The radiologist correctly annotated absence of VSCC in 73/81 (NPV 90%) and presence in 65/72 (PPV 90%) slices. Sixty‐four of 90 margins were correctly identified as less than 8 mm (PPV 71%) and 83/102 margins as 8 mm or greater (NPV 81%). Both non‐blinded and blinded annotations were linearly correlated and demonstrated good agreement with histology. Accurate localization of VSCC and measurements of the surgical tumor‐free margins in fresh RLE specimens using ex vivo MRI seems feasible. High diagnostic performance in VSCC localization and identification of margins less than 8 mm suggest ex vivo MRI to be clinically applicable. 相似文献
35.
Ex vivo MRI evaluation of prostate cancer: Localization and margin status prediction of prostate cancer in fresh radical prostatectomy specimens
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36.
Wenshu Luo Matteo Egger Andor Domonkos Lin Que David Lukacsovich Natalia Andrea Cruz-Ochoa Szilrd Szcs Charlotte Seng Antnia Arszovszki Eszter Sipos Irmgard Amrein Jochen Winterer Tams Lukacsovich Jnos Szabadics David P. Wolfer Csaba Varga Csaba Fldy 《Proceedings of the National Academy of Sciences of the United States of America》2021,118(40)
37.
Alwin Tubben Hendrea S.A. Tingen Niek H.J. Prakken Vanessa P.M. van Empel Thomas M. Gorter Laura M.G. Meems Olivier C. Manintveld Michiel Rienstra Robert G. Tieleman Andor W.J.M. Glaudemans Dirk J. van Veldhuisen Riemer H.J.A. Slart Hans L.A. Nienhuis Peter van der Meer 《European journal of heart failure》2024,26(3):695-698
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Andor W. J. M. Glaudemans Erik F. J. de Vries Liliane E. M. Vermeulen Riemer H. J. A. Slart Rudi A. J. O. Dierckx Alberto Signore 《European journal of nuclear medicine and molecular imaging》2013,40(11):1760-1769
Purpose
The diagnosis of infection is often based on clinical, pathological and microbiological results. However, these investigations lack specificity. White blood cell (WBC) scintigraphy is considered the gold standard nuclear imaging technique for diagnosing infections in bone and soft tissues (except spondylodiscitis). However, image acquisition and interpretation criteria differ amongst centres throughout the world, leading to differences in reported results. The aim of this study was to identify the most accurate WBC scintigraphy acquisition and interpretation protocols for diagnosis of bone and soft tissue infections.Methods
Included in this retrospective study were 297 patients with suspected bone or soft tissue infection who underwent WBC scintigraphy with 99mTc-HMPAO-labelled leucocytes between 2009 and 2012. Sensitivity, specificity, accuracy, and positive and negative predictive values of WBC scintigraphy were determined for two different dual time point acquisition protocols (fixed-time acquisition and time decay-corrected acquisition) and five image interpretation methods (visual and semiquantitative with four different reference regions of interest). Final diagnosis was based on pathological and microbiological reports, and when these were not available, on clinical follow-up of at least 6 months.Results
The best acquisition protocol was 4 h and 20 – 24 h dual time-point acquisition with time decay-corrected acquisition. When using this acquisition protocol, visual qualitative interpretation led to a sensitivity of 85.1 %, a specificity of 97.1 %, a diagnostic accuracy of 94.5 %, a positive predictive value of 88.8 % and a negative predictive value of 95.9 %. For semiquantitative analysis, the best results were found when lesion-to-reference ratios were calculated with the contralateral side as the reference tissue, except for osteomyelitis and infected osteosynthesis, for which the contralateral bone marrow was found to be the best reference tissue. Results of the semiquantitative analyses per se were not better than for visual analysis. In the optimal analysis protocol, scans are first visually evaluated, and if this gives equivocal results, semiquantitative analysis is performed. This strategy resulted in an improved sensitivity of 97.9 %, a specificity of 91.8 % and a diagnostic accuracy of 93.1 %.Conclusion
WBC scintigraphy for bone and soft-tissue infection is best performed using a dual acquisition protocol at 4 h and at 20–24 h after injection, in which the acquisition time of the scans is corrected for decay. In most patients, visual analysis is sufficient and leads to high diagnostic accuracy. When interpretation by visual analysis is inconclusive, semiquantitative analysis adds accuracy. Based on our results, we propose a flow chart for analysing WBC scintigraphy in musculoskeletal infections. 相似文献40.
Luis Eduardo Juárez-Orozco Julius Glauche Erick Alexanderson Clark J. Zeebregts Hendrikus H. Boersma Andor W. J. M. Glaudemans Rudi A. Dierckx Dirk J. van Veldhuisen René A. Tio Riemer H. J. A. Slart 《European journal of nuclear medicine and molecular imaging》2013,40(8):1148-1154