Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
The role of quantitative imaging biomarkers in an early FDG-PET/CT for detection of immune-related adverse events in melanoma patients: a prospective study
ID
Hribernik, Nežka
(
Author
),
ID
Strašek, Katja
(
Author
),
ID
Huff, Daniel T.
(
Author
),
ID
Studen, Andrej
(
Author
),
ID
Zevnik, Katarina
(
Author
),
ID
Škalič, Katja
(
Author
),
ID
Jeraj, Robert
(
Author
),
ID
Reberšek, Martina
(
Author
)
PDF - Presentation file,
Download
(1,12 MB)
MD5: 2B2DABBD4A42C542E68F2ECCA1AFB3C1
URL - Source URL, Visit
https://www.radioloncol.com/index.php/ro/article/view/4413
Image galllery
Abstract
Background. To evaluate the role of the novel quantitative imaging biomarker (QIB) SUV$_{X\%}$ of $^{18}$F-FDG uptake ex-tracted from early 18F-FDG -PET/CT scan at 4 weeks for the detection of immune-related adverse events (rAE) in a cohort of patients with metastatic melanoma (mM) patients receiving immune-checkpoint inhibitors (ICI). Patients and methods. In this prospective non-interventional, one-centre clinical study, patients with mM, receiv-ing ICI treatment, were regularly followed by $^{18}$F-FDG PET/CT. Patients were scanned at baseline, early point at week four (W4), week sixteen (W16) and week thirty-two (W32) after ICI initiation. A convolutional neural network (CNN) was used to segment three organs: lung, bowel, thyroid. QIB of irAE - SUV$_{X\%}$ - was analyzed within the target organs and correlated with the clinical irAE status. Area under the receiver-operating characteristic curve (AUROC) was used to quantify irAE detection performance. Results. A total of 242 $^{18}$F-FDG PET/CT images of 71 mM patients were prospectively collected and analysed. The early W4 scan showed improved detection only for the thyroid gland compared to W32 scan (p=0.047). The AUROC for detection of irAE in the three target organs was highest when SUV$_{X\%}$ was extracted from W16 scan and was 0.76 for lung, 0.53 for bowel and 0.81 for thyroid. SUV$_{X\%}$ extracted from W4 scan did not improve detection of irAE compared to W16 scan (lung: p = 0.54, bowel: p = 0.75, thyroid: p = 0.3, DeLong test), as well as compared to W32 scan in lungs (p = 0.32) and bowel (p = 0.3). Conclusions. Early time point $^{18}$F-FDG PET/CT at W4 did not lead to statistically significant earlier detection ofirAE. However, organ18F-FDG uptake as quantified by SUV$_{X\%}$ proved to be a consistent QIB of irAE. To better assess the role of $^{18}$F-FDG PET/CT in irAE detection, the time evolution of $^{18}$F-FDG PET/CT quantifiable inflammation would be of essence, only achievable in multi centric studies.
Language:
English
Keywords:
medical imaging
,
FDG-PET/C
,
biomarkers
,
immunotherapy
,
immune checkpoint inhibitors
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FMF - Faculty of Mathematics and Physics
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
Str. 335-347
Numbering:
Vol. 58, no. 3
PID:
20.500.12556/RUL-162189
UDC:
616-073
ISSN on article:
1318-2099
DOI:
10.2478/raon-2024-0045
COBISS.SI-ID:
208199939
Publication date in RUL:
19.09.2024
Views:
165
Downloads:
22
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Radiology and oncology
Shortened title:
Radiol. oncol.
Publisher:
Slovenian Medical Society - Section of Radiology, Croatian Medical Association - Croatian Society of Radiology
ISSN:
1318-2099
COBISS.SI-ID:
32649472
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
medicinsko slikanje
,
FDG-PET/C
,
biomarkerji
,
imunoterpija
,
zaviralci imunskih kontrolnih točk
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P3-0321-2020
Name:
Napovedni dejavniki poteka bolezni in odgovora na zdravljenje pri različnih vrst raka
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P1-0389-2022
Name:
Medicinska fizika
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back