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NCT04359745

Improving Treatment of Glioblastoma: Distinguishing Progression From Pseudoprogression

Status unknown Last updated 21 April 2023
What this trial tests

trial in Glioblastoma in 500 participants. Status unknown.

Timeline
21 March 2019
Primary endpoint
26 May 2024
26 May 2025

Quick facts

Lead sponsorGuy's and St Thomas' NHS Foundation Trust
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment500
Start date21 March 2019
Primary completion26 May 2024
Estimated completion26 May 2025
Sites15 locations across United Kingdom

Conditions studied

Sponsor

Guy's and St Thomas' NHS Foundation Trust

Who can join

Adults 18 to 80, any sex, with Glioblastoma. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Glioblastoma is the most aggressive kind of brain cancer and leads on average to 20 years of life lost, more than any other cancer. MRI images of the brain are taken before the operation, and every few months after treatment, to see if the cancer regrows. It can be hard for doctors to tell if what they see in these images represent growing cancer or a sideeffect of treatment. The similarity of the appearance of the treatment side-effects to cancer is confusing and is known as "pseudoprogression" (as opposed to true cancer progression). If doctors mistake the appearance of treatment side-effects for growing cancer, they may think that the treatment is failing and change the patient's treatment too early or put them into a clinical trial. This means that patients may not be given the full treatment and the results from some clinical trials cannot be trusted. The aim of this study is to provide doctors with a computer program that will use MRI images of the brain that are routinely obtained throughout treatment, in order to help them more accurately identify when the cancer regrows.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Surgical data science - from concepts toward clinical translation.
    Maier-Hein L, Eisenmann M, Sarikaya D, März K, et al · · 2022 · cited 158× · PMID 34879287 · DOI 10.1016/j.media.2021.102306
  2. Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future.
    Tangsrivimol JA, Schonfeld E, Zhang M, Veeravagu A, et al · · 2023 · cited 43× · PMID 37510174 · DOI 10.3390/diagnostics13142429

Verify or expand the search:

Other recruiting trials for Glioblastoma

Currently open trials in the same condition.

Other Guy's and St Thomas' NHS Foundation Trust trials

Trials by the same sponsor.

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Data sources for this page

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