MRI and CBCT for lymph node identification and registration in patients with NSCLC undergoing radical radiotherapy.
Cone beam CT
Image registration
Lung cancer
Lymph nodes
MR guided-radiotherapy
Journal
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
received:
17
07
2020
revised:
26
02
2021
accepted:
08
03
2021
pubmed:
30
3
2021
medline:
29
6
2021
entrez:
29
3
2021
Statut:
ppublish
Résumé
This study compared MRI to CBCT for the identification and registration of lymph nodes (LN) in patients with locally advanced (LA)-NSCLC, to assess the suitability of targeting LNs in future MR-image guided radiotherapy (MRgRT) workflows. Radiotherapy radiographers carried out Visual Grading Analysis (VGA) assessment of image quality, LN registration and graded their confidence in registration for each of the 24 LNs on CBCT and two MR sequences, MR1 (T2w Turbo Spin Echo) and MR2 (T1w DIXON water only image). Pre-registration image quality assessment revealed MR1 and MR2 as significantly superior to CBCT in terms of image quality (p ≤ 0.01). No significant differences were noted in interobserver variability for LN registration between CBCT, MR1 and MR2. Observers were more confident in their MR registrations compared to their CBCT based LN registrations (p ≤ 0.02). Interobserver setup correction variability was not found to be significantly different between CBCT and MR. Image quality and registration confidence were found to be superior for MRI sequences. This is a promising step towards MR-guided radiotherapy for the treatment of LA-NSCLC.
Identifiants
pubmed: 33775713
pii: S0167-8140(21)06141-7
doi: 10.1016/j.radonc.2021.03.015
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
112-118Informations de copyright
Crown Copyright © 2021. Published by Elsevier B.V. All rights reserved.