Evaluation of Non-Invasive Methods for -[[sup.11]C]PK11195 PET Image Quantification in Multiple Sclerosis

This study aims to evaluate non-invasive PET quantification methods for (R)-[[sup.11] C]PK11195 uptake measurement in multiple sclerosis (MS) patients and healthy controls (HC) in comparison with arterial input function (AIF) using dynamic (R)-[[sup.11] C]PK11195 PET and magnetic resonance images. T...

Full description

Saved in:
Bibliographic Details
Published in:Journal of imaging 2024-01, Vol.10 (2)
Main Authors: Mantovani, Dimitri B. A, Pitombeira, Milena S, Schuck, Phelipi N, de Araújo, Adriel S, Buchpiguel, Carlos Alberto, de Paula Faria, Daniele, M. da Silva, Ana Maria
Format: Article
Language:English
Subjects:
Cluster analysis
Diagnosis
Diagnosis, Noninvasive
Magnetic resonance imaging
Methods
Multiple sclerosis
PET imaging
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study aims to evaluate non-invasive PET quantification methods for (R)-[[sup.11] C]PK11195 uptake measurement in multiple sclerosis (MS) patients and healthy controls (HC) in comparison with arterial input function (AIF) using dynamic (R)-[[sup.11] C]PK11195 PET and magnetic resonance images. The total volume of distribution (VT) and distribution volume ratio (DVR) were measured in the gray matter, white matter, caudate nucleus, putamen, pallidum, thalamus, cerebellum, and brainstem using AIF, the image-derived input function (IDIF) from the carotid arteries, and pseudo-reference regions from supervised clustering analysis (SVCA). Uptake differences between MS and HC groups were tested using statistical tests adjusted for age and sex, and correlations between the results from the different quantification methods were also analyzed. Significant DVR differences were observed in the gray matter, white matter, putamen, pallidum, thalamus, and brainstem of MS patients when compared to the HC group. Also, strong correlations were found in DVR values between non-invasive methods and AIF (0.928 for IDIF and 0.975 for SVCA, p < 0.0001). On the other hand, (R)-[[sup.11] C]PK11195 uptake could not be differentiated between MS patients and HC using VT values, and a weak correlation (0.356, p < 0.0001) was found between VT[sup.AIF] and VT[sup.IDIF] . Our study shows that the best alternative for AIF is using SVCA for reference region modeling, in addition to a cautious and appropriate methodology.
ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging10020039