Article Navigation
Journal Article Corrected proof
Get access
, Lisa Dobber Department of Neurology, Erasmus MC Cancer Center , Rotterdam, The Netherlands Search for other works by this author on: Oxford Academic Marjolein Geurts Department of Medical Oncology, Erasmus MC Cancer Center , Rotterdam, The Netherlands Department of Neurology, Erasmus MC Cancer Center , Rotterdam, The Netherlands Search for other works by this author on: Oxford Academic Martin J van den Bent Department of Neurology, Erasmus MC Cancer Center , Rotterdam, The Netherlands Corresponding Author: Martin van den Bent, Department of Neurology, Erasmus MC Cancer Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam 010-7041415, The Netherlands (mjvandenbent@neuro-oncology.nl). Search for other works by this author on: Oxford Academic
Neuro-Oncology, noae095, https://doi.org/10.1093/neuonc/noae095
Published:
10 June 2024
Article history
Corrected and typeset:
10 June 2024
Published:
10 June 2024
- Views
- Article contents
- Figures & tables
- Video
- Audio
- Supplementary Data
-
Cite
Cite
Lisa Dobber, Marjolein Geurts, Martin J van den Bent, Tumor growth in recurrent glioblastoma—RANO: when to plan the baseline scan?, Neuro-Oncology, 2024;, noae095, https://doi.org/10.1093/neuonc/noae095
Close
Search
Close
Search
Advanced Search
Search Menu
Extract
Glioblastoma is the most common primary malignant brain tumor for which no curative treatment exists. Little is known about its growth rate once disease progression occurs. This is relevant for the timing of baseline imaging for second-line treatment in clinical trials and subsequent response monitoring. Although most trial protocols allow a 2–3-week interval between obtaining a baseline scan for study entry and therapy initiation, the 2022 revised RANO 2.0 criteria recommend an interval no greater than 14 days.1,2 To our knowledge, no evidence for this interval exists. If a tumor grows rapidly in the period between imaging and the start of treatment, adequate response assessment may be hindered leading to false interpretations of progression to the experimental treatment. We assessed whether the tumor area differs between the scan showing progressive disease (“progression scan”) and the scan for study entry (“baseline scan”) to determine the tumor growth rate.
In this single-center study, adult patients at the Erasmus MC in Rotterdam, the Netherlands, with a radiologically confirmed first glioblastoma recurrence enrolled in a clinical trial between 2011 and 2023 were checked for eligibility. First recurrence (progressive disease, PD) after standard of care was established per physicians’ judgment either at Erasmus MC or the referring hospital. All studies required a 3-month interval between the end of radiotherapy and study enrollment. Patients were included if they had 2 available MRI scans with measurable disease made within ≤35-day interval between the progression scan and baseline scan. Patients who underwent re-resection were excluded. Three independent observers calculated the tumor areas from the identified scans using the 2-dimensional maximal perpendicular measure on T1 contrast-enhanced axial imaging (RANO 2.0).2 Using the measurements’ mean, the percentage change in tumor area was calculated and compared to RANO’s ≥25% definition of disease progression. We chose 17 days as a landmark to evaluate the number of patients with tumor progression considering this is the maximum interval allowed by recent studies (eg, NCT01986348, NCT04910022).
Issue Section:
Letter to the Editor
You do not currently have access to this article.
Download all slides
Sign in
Get help with access
Personal account
- Sign in with email/username & password
- Get email alerts
- Save searches
- Purchase content
- Activate your purchase/trial code
- Add your ORCID iD
Sign in Register
Institutional access
- Sign in with a library card
- Sign in with username/password
- Recommend to your librarian
Sign in through your institution
Sign in through your institution
Institutional account management
Sign in as administrator
Get help with access
Institutional access
Access to content on Oxford Academic is often provided through institutional subscriptions and purchases. If you are a member of an institution with an active account, you may be able to access content in one of the following ways:
IP based access
Typically, access is provided across an institutional network to a range of IP addresses. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account.
Sign in through your institution
Choose this option to get remote access when outside your institution. Shibboleth/Open Athens technology is used to provide single sign-on between your institution’s website and Oxford Academic.
- Click Sign in through your institution.
- Select your institution from the list provided, which will take you to your institution's website to sign in.
- When on the institution site, please use the credentials provided by your institution. Do not use an Oxford Academic personal account.
- Following successful sign in, you will be returned to Oxford Academic.
If your institution is not listed or you cannot sign in to your institution’s website, please contact your librarian or administrator.
Sign in with a library card
Enter your library card number to sign in. If you cannot sign in, please contact your librarian.
Society Members
Society member access to a journal is achieved in one of the following ways:
Sign in through society site
Many societies offer single sign-on between the society website and Oxford Academic. If you see ‘Sign in through society site’ in the sign in pane within a journal:
- Click Sign in through society site.
- When on the society site, please use the credentials provided by that society. Do not use an Oxford Academic personal account.
- Following successful sign in, you will be returned to Oxford Academic.
If you do not have a society account or have forgotten your username or password, please contact your society.
Sign in using a personal account
Some societies use Oxford Academic personal accounts to provide access to their members. See below.
Personal account
A personal account can be used to get email alerts, save searches, purchase content, and activate subscriptions.
Some societies use Oxford Academic personal accounts to provide access to their members.
Viewing your signed in accounts
Click the account icon in the top right to:
- View your signed in personal account and access account management features.
- View the institutional accounts that are providing access.
Signed in but can't access content
Oxford Academic is home to a wide variety of products. The institutional subscription may not cover the content that you are trying to access. If you believe you should have access to that content, please contact your librarian.
Institutional account management
For librarians and administrators, your personal account also provides access to institutional account management. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more.
Purchase
Subscription prices and ordering for this journal
Purchasing options for books and journals across Oxford Academic
Short-term Access
To purchase short-term access, please sign in to your personal account above.
Don't already have a personal account? Register
Tumor growth in recurrent glioblastoma—RANO: when to plan the baseline scan? - 24 Hours access
EUR €51.00
GBP £44.00
USD $55.00
Advertisem*nt
Citations
Views
29
Altmetric
More metrics information
Metrics
Total Views 29
19 Pageviews
10 PDF Downloads
Since 6/1/2024
Month: | Total Views: |
---|---|
June 2024 | 29 |
Citations
Powered by Dimensions
Altmetrics
Email alerts
Article activity alert
Advance article alerts
New issue alert
Receive exclusive offers and updates from Oxford Academic
Citing articles via
Google Scholar
-
Latest
-
Most Read
-
Most Cited
More from Oxford Academic
Clinical Medicine
Medical Oncology
Medicine and Health
Neurology
Books
Journals
Pittsburg, Pennsylvania
Burlington, Vermont
Long Island, New York
Long Island, New York
Advertisem*nt