Minimally invasive input function for 2-18F-fluoro-A-85380 brain PET studies

2012 ◽  
Vol 39 (4) ◽  
pp. 651-659 ◽  
Author(s):  
Paolo Zanotti-Fregonara ◽  
Renaud Maroy ◽  
Marie-Anne Peyronneau ◽  
Régine Trebossen ◽  
Michel Bottlaender
2011 ◽  
Vol 31 (10) ◽  
pp. 1986-1998 ◽  
Author(s):  
Paolo Zanotti-Fregonara ◽  
Kewei Chen ◽  
Jeih-San Liow ◽  
Masahiro Fujita ◽  
Robert B Innis

Quantitative positron emission tomography (PET) brain studies often require that the input function be measured, typically via arterial cannulation. Image-derived input function (IDIF) is an elegant and attractive noninvasive alternative to arterial sampling. However, IDIF is also a very challenging technique associated with several problems that must be overcome before it can be successfully implemented in clinical practice. As a result, IDIF is rarely used as a tool to reduce invasiveness in patients. The aim of the present review was to identify the methodological problems that hinder widespread use of IDIF in PET brain studies. We conclude that IDIF can be successfully implemented only with a minority of PET tracers. Even in those cases, it only rarely translates into a less-invasive procedure for the patient. Finally, we discuss some possible alternative methods for obtaining less-invasive input function.


Author(s):  
David Rey-Bretal ◽  
Alexis Moscoso ◽  
Noemí Gómez-Lado ◽  
Anxo Fernández-Ferreiro ◽  
Jesús Silva-Rodríguez ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nathalie Mertens ◽  
Mark E. Schmidt ◽  
Anja Hijzen ◽  
Donatienne Van Weehaeghe ◽  
Paulien Ravenstijn ◽  
...  

Abstract[18F]JNJ-64413739 has been evaluated as PET-ligand for in vivo quantification of purinergic receptor subtype 7 receptor (P2X7R) using Logan graphical analysis with a metabolite-corrected arterial plasma input function. In the context of a P2X7R PET dose occupancy study, we evaluated a minimally invasive approach by limiting arterial sampling to baseline conditions. Meanwhile, post dose distribution volumes (VT) under blocking conditions were estimated by combining baseline blood to plasma ratios and metabolite fractions with an MR angiography driven image derived input function (IDIF). Regional postdose VT,IDIF values were compared with corresponding VT,AIF estimates using a arterial input function (AIF), in terms of absolute values, test–retest reliability and receptor occupancy. Compared to an invasive AIF approach, postdose VT,IDIF values and corresponding receptor occupancies showed only limited bias (Bland–Altman analysis: 0.06 ± 0.27 and 3.1% ± 6.4%) while demonstrating a high correlation (Spearman ρ = 0.78 and ρ = 0.98 respectively). In terms of test–retest reliability, regional intraclass correlation coefficients were 0.98 ± 0.02 for VT,IDIF compared to 0.97 ± 0.01 for VT,AIF. These results confirmed that a postdose IDIF, guided by MR angiography and using baseline blood and metabolite data, can be considered for accurate [18F]JNJ-64413739 PET quantification in a repeated PET study design, thus avoiding multiple invasive arterial sampling and increasing dosing flexibility.


2016 ◽  
Vol 1 (13) ◽  
pp. 169-176
Author(s):  
Lisa M. Evangelista ◽  
James L. Coyle

Esophageal cancer is the sixth leading cause of death from cancer worldwide. Esophageal resection is the mainstay treatment for cancers of the esophagus. While curative, surgical resection may result in swallowing difficulties that require intervention from speech-language pathologists (SLPs). Minimally invasive surgical procedures for esophageal resection have aimed to reduce morbidity and mortality associated with more invasive techniques. Both intra-operative and post-operative complications, regardless of the surgical approach, can result in dysphagia. This article will review the epidemiological impact of esophageal cancers, operative complications resulting in dysphagia, and clinical assessment and management of dysphagia pertinent to esophageal resection.


Urology ◽  
2020 ◽  
Author(s):  
Alexandre Azevedo Ziomkowski ◽  
João Rafael Silva Simões Estrela ◽  
Nilo Jorge Carvalho Leão Barretto ◽  
Nilo César Leão Barretto

Sign in / Sign up

Export Citation Format

Share Document