Literature DB >> 26732644

Impact and correction of the bladder uptake on 18 F-FCH PET quantification: a simulation study using the XCAT2 phantom.

Jesús Silva-Rodríguez1, Charalampos Tsoumpas, Inés Domínguez-Prado, Juan Pardo-Montero, Álvaro Ruibal, Pablo Aguiar.   

Abstract

The spill-in counts from neighbouring regions can significantly bias the quantification over small regions close to high activity extended sources. This effect can be a drawback for (18)F-based radiotracers positron emission tomography (PET) when quantitatively evaluating the bladder area for diseases such as prostate cancer. In this work, we use Monte Carlo simulations to investigate the impact of the spill-in counts from the bladder on the quantitative evaluation of prostate cancer when using (18)F-Fluorcholine (FCH) PET and we propose a novel reconstruction-based correction method. Monte Carlo simulations of a modified version of the XCAT2 anthropomorphic phantom with (18)F-FCH biological distribution, variable bladder uptake and inserted prostatic tumours were used in order to obtain simulated realistic (18)F-FCH data. We evaluated possible variations of the measured tumour Standardized Uptake Value (SUV) for different values of bladder uptake and propose a novel correction by appropriately adapting image reconstruction methodology. The correction is based on the introduction of physiological background terms on the reconstruction, removing the contribution of the bladder to the final image. The bladder is segmented from the reconstructed image and then forward-projected to the sinogram space. The resulting sinograms are used as background terms for the reconstruction. SUV max and SUV mean could be overestimated by 41% and 22% respectively due to the accumulation of radiotracer in the bladder, with strong dependence on bladder-to-lesion ratio. While the SUVs measured under these conditions are not reliable, images corrected using the proposed methodology provide better repeatability of SUVs, with biases below 6%. Results also showed remarkable improvements on visual detectability. The spill-in counts from the bladder can affect prostatic SUV measurements of (18)F-FCH images, which can be corrected to less than 6% using the proposed methodology, providing reliable SUV values even in the presence of high radioactivity accumulation in the bladder.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26732644     DOI: 10.1088/0031-9155/61/2/758

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior.

Authors:  Liyuan Chen; Chenyang Shen; Zhiguo Zhou; Genevieve Maquilan; Kevin Albuquerque; Michael R Folkert; Jing Wang
Journal:  Phys Med Biol       Date:  2019-04-12       Impact factor: 3.609

2.  Comparison of Correction Techniques for the Spill in Effect in Emission Tomography.

Authors:  Mercy I Akerele; Nicolas A Karakatsanis; Daniel Deidda; Jacobo Cal-Gonzalez; Rachael O Forsythe; Marc R Dweck; Maaz Syed; David E Newby; Robert G Aykroyd; Steven Sourbron; Charalampos Tsoumpas
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-03-12

3.  [18F]Fluoromisonidazole PET in rectal cancer.

Authors:  Tanuj Puri; Tessa A Greenhalgh; James M Wilson; Jamie Franklin; Lia Mun Wang; Victoria Strauss; Chris Cunningham; Mike Partridge; Tim Maughan
Journal:  EJNMMI Res       Date:  2017-09-20       Impact factor: 3.138

4.  Quantitative performance and optimal regularization parameter in block sequential regularized expectation maximization reconstructions in clinical 68Ga-PSMA PET/MR.

Authors:  Edwin E G W Ter Voert; Urs J Muehlematter; Gaspar Delso; Daniele A Pizzuto; Julian Müller; Hannes W Nagel; Irene A Burger
Journal:  EJNMMI Res       Date:  2018-07-27       Impact factor: 3.138

5.  Validation of the physiological background correction method for the suppression of the spill-in effect near highly radioactive regions in positron emission tomography.

Authors:  Mercy I Akerele; Palak Wadhwa; Jesus Silva-Rodriguez; William Hallett; Charalampos Tsoumpas
Journal:  EJNMMI Phys       Date:  2018-12-05

6.  Spill-in counts in the quantification of 18F-florbetapir on Aβ-negative subjects: the effect of including white matter in the reference region.

Authors:  Francisco Javier López-González; Alexis Moscoso; Nikos Efthimiou; Anxo Fernández-Ferreiro; Manuel Piñeiro-Fiel; Stephen J Archibald; Pablo Aguiar; Jesús Silva-Rodríguez
Journal:  EJNMMI Phys       Date:  2019-12-19

7.  Assessment of different quantification metrics of [18F]-NaF PET/CT images of patients with abdominal aortic aneurysm.

Authors:  Mercy I Akerele; Nouf A Mushari; Rachael O Forsythe; Maaz Syed; Nicolas A Karakatsanis; David E Newby; Marc R Dweck; Charalampos Tsoumpas
Journal:  J Nucl Cardiol       Date:  2020-06-17       Impact factor: 3.872

8.  Iterative reconstruction incorporating background correction improves quantification of [18F]-NaF PET/CT images of patients with abdominal aortic aneurysm.

Authors:  Mercy I Akerele; Nicolas A Karakatsanis; Rachael O Forsythe; Marc R Dweck; Maaz Syed; Robert G Aykroyd; Steven Sourbron; David E Newby; Charalampos Tsoumpas
Journal:  J Nucl Cardiol       Date:  2019-11-11       Impact factor: 5.952

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.