scholarly journals Cardiac motion and spillover correction for quantitative PET imaging using dynamic MRI

2019 ◽  
Vol 46 (2) ◽  
pp. 726-737 ◽  
Author(s):  
Stephanie Marchesseau ◽  
John J. Totman ◽  
Hakim Fadil ◽  
Francesca A. A. Leek ◽  
Jasper Chaal ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Dynamic Mri ◽  
Cardiac Motion ◽  
Quantitative Pet ◽  
Spillover Correction

scholarly journals Quantitative PET imaging of PD-L1 expression in xenograft and syngeneic tumour models using a site-specifically labelled PD-L1 antibody

2019 ◽  
Vol 47 (5) ◽  
pp. 1302-1313 ◽  
Author(s):  
Camilla Christensen ◽  
Lotte K. Kristensen ◽  
Maria Z. Alfsen ◽  
Carsten H. Nielsen ◽  
Andreas Kjaer
Keyword(s):  
Pet Imaging ◽  
Predictive Value ◽  
Ex Vivo ◽  
Response To Therapy ◽  
Whole Body ◽  
Therapeutic Monitoring ◽  
Non Invasive ◽  
Tumour Bearing ◽  
Quantitative Pet

Abstract Purpose Despite remarkable clinical responses and prolonged survival across several cancers, not all patients benefit from PD-1/PD-L1 immune checkpoint blockade. Accordingly, assessment of tumour PD-L1 expression by immunohistochemistry (IHC) is increasingly applied to guide patient selection, therapeutic monitoring, and improve overall response rates. However, tissue-based methods are invasive and prone to sampling error. We therefore developed a PET radiotracer to specifically detect PD-L1 expression in a non-invasive manner, which could be of diagnostic and predictive value. Methods Anti-PD-L1 (clone 6E11, Genentech) was site-specifically conjugated with DIBO-DFO and radiolabelled with 89Zr (89Zr-DFO-6E11). 89Zr-DFO-6E11 was optimized in vivo by longitudinal PET imaging and dose escalation with excess unlabelled 6E11 in HCC827 tumour-bearing mice. Specificity of 89Zr-DFO-6E11 was evaluated in NSCLC xenografts and syngeneic tumour models with different levels of PD-L1 expression. In vivo imaging data was supported by ex vivo biodistribution, flow cytometry, and IHC. To evaluate the predictive value of 89Zr-DFO-6E11 PET imaging, CT26 tumour-bearing mice were subjected to external radiation therapy (XRT) in combination with PD-L1 blockade. Results 89Zr-DFO-6E11 was successfully labelled with a high radiochemical purity. The HCC827 tumours and lymphoid tissue were identified by 89Zr-DFO-6E11 PET imaging, and co-injection with 6E11 increased the relative tumour uptake and decreased the splenic uptake. 89Zr-DFO-6E11 detected the differences in PD-L1 expression among tumour models as evaluated by ex vivo methods. 89Zr-DFO-6E11 quantified the increase in PD-L1 expression in tumours and spleens of irradiated mice. XRT and anti-PD-L1 therapy effectively inhibited tumour growth in CT26 tumour-bearing mice (p < 0.01), and the maximum 89Zr-DFO-6E11 tumour-to-muscle ratio correlated with response to therapy (p = 0.0252). Conclusion PET imaging with 89Zr-DFO-6E11 is an attractive approach for specific, non-invasive, whole-body visualization of PD-L1 expression. PD-L1 expression can be modulated by radiotherapy regimens and 89Zr-DFO-6E11 PET is able to monitor these changes and predict the response to therapy in an immunocompetent tumour model.

Novel Quantitative PET Imaging Techniques in Tuberculosis

PET Clinics ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 231-240
Author(s):  
Viplav Deogaonkar ◽  
Bangkim Chandra Khangembam ◽  
Siavash Mehdizadeh Seraj ◽  
Abass Alavi ◽  
Rakesh Kumar ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Imaging Techniques ◽  
Quantitative Pet

WE-G-214-03: Investigating the Repeatability of Quantitative PET Imaging of Heterogeneous Tumors

2011 ◽  
Vol 38 (6Part33) ◽  
pp. 3830-3831
Author(s):  
K McCall ◽  
N Jallow ◽  
S Bowen ◽  
M Deveau ◽  
L Forrest ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Quantitative Pet

Clinical and Research Applications of Quantitative PET Imaging

PET Clinics ◽  
2007 ◽  
Vol 2 (2) ◽  
pp. 161-172 ◽  
Author(s):  
Sandip Basu ◽  
Habib Zaidi ◽  
Abass Alavi
Keyword(s):  
Pet Imaging ◽  
Quantitative Pet

Quantitative PET Imaging of VEGF Receptor Expression

2008 ◽  
Vol 11 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Kai Chen ◽  
Weibo Cai ◽  
Zi-Bo Li ◽  
Hui Wang ◽  
Xiaoyuan Chen
Keyword(s):  
Pet Imaging ◽  
Receptor Expression ◽  
Vegf Receptor ◽  
Quantitative Pet
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