IP Indian Journal of Anatomy and Surgery of Head, Neck and Brain

Print ISSN: 2581-5210

Online ISSN: 2581-5229

CODEN : IIJAAL

IP Indian Journal of Anatomy and Surgery of Head, Neck and Brain (IJASHNB) open access, peer-reviewed quarterly journal publishing since 2015 and is published under the Khyati Education and Research Foundation (KERF), is registered as a non-profit society (under the society registration act, 1860), Government of India with the vision of various accredited vocational courses in healthcare, education, paramedical, yoga, publication, teaching and research activity, with the aim of faster and better dissemination of knowledge, we will be publishing more...

Article type

Original Article


Article page

83-90


Authors Details

Bimal Nepal, Tshetiz Dahal*


Article Metrics


View Article As

 


Downlaod Files

   






Article statistics

Viewed: 272

PDF Downloaded: 343


Evaluation of image resolution and quantification parameters on fdg-pet/ct images in patients with metastatic breast cancer using Q. clear and osem reconstruction techniques


Original Article

Author Details : Bimal Nepal, Tshetiz Dahal*

Volume : 9, Issue : 3, Year : 2023

Article Page : 83-90

https://doi.org/10.18231/j.ijashnb.2023.017



Suggest article by email

Get Permission

Abstract

We compared the 2-[18F]FDG-PET/CT scans performed for response monitoring in patients with metastatic breast cancer in a prospective setting using the ordered subset expectation maximization (OSEM) algorithm and the bayesian penalized likelihood reconstruction algorithm (Q.Clear) and the image quality and quantification parameters. 35 patients with metastatic breast cancer who were treated and followed up with 2-[18F]FDG-PET/CT were included. A total of 150 scans were evaluated on a five-point scale for the image quality parameters of noise, sharpness, contrast, diagnostic confidence, artefact, and blotchy look while being blinded to the Q.Clear and OSEM reconstruction algorithms. In scans with detectable disease, the lesion with the highest volume of interest was chosen, taking into account both reconstruction techniques' interest levels. For the same heated lesion, SULpeak (g/mL) and SUVmax (g/mL) were contrasted. The OSEM reconstruction had significantly less blotchy appearance than the Q.Clear reconstruction, while there was no significant difference between the two methods in terms of noise, diagnostic confidence, or artefact. Q.Clear had significantly better sharpness (p < 0.002) and contrast (p < 0.002) than the OSEM reconstruction. Quantitative examination of 75/150 scans revealed that Q.Clear reconstruction considerably outperformed OSEM reconstruction in terms of SULpeak (6.33 ± 1.8 vs. 5.85 ±  1.5, p < 0.002) and SUVmax (7.27 ±  5.8 vs. 3.90  ± 2.8, p 0.002). In conclusion, OSEM reconstruction was less blotchy, but Q.Clear reconstruction showed superior sharpness, better contrast, higher SUVmax, and higher SULpeak.


Keywords: Reconstruction algorithm, FDG­PET/CT, Metastatic breast cancer, QClear, OSEM


How to cite : Nepal B, Dahal T, Evaluation of image resolution and quantification parameters on fdg-pet/ct images in patients with metastatic breast cancer using Q. clear and osem reconstruction techniques. IP Indian J Anat Surg Head Neck Brain 2023;9(3):83-90

This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.