Evidence map›Paper›PMID 36071927›Full record

ArticleNeuro-oncology advances

Magnetic resonance spectroscopy outperforms perfusion in distinguishing between pseudoprogression and disease progression in patients with glioblastoma.

Mohamed E El-Abtah, Pratik Talati, Melanie Fu, Benjamin Chun, Patrick Clark, Anna Peters, Anthony Ranasinghe, Julian He, Otto Rapalino, Tracy T Batchelor and 5 more

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Imaging in Neuro-oncology.Seminars in neurology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Contribution of [Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Mohamed E El-AbtahAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8451-7012
Pratik TalatiAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Melanie FuAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Benjamin ChunAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Patrick ClarkAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Anna PetersAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Anthony RanasingheAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Julian HeAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Otto RapalinoDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Tracy T BatchelorHarvard Medical School, Boston, Massachusetts, USA.
R Gilberto GonzalezAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
William T CurryDepartment of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jorg DietrichHarvard Medical School, Boston, Massachusetts, USA.
Elizabeth R GerstnerHarvard Medical School, Boston, Massachusetts, USA.
Eva-Maria RataiAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Athinoula A. Martinos Center for Biomedical Imaging · USHarvard University · USBrigham and Women's Hospital · USMassachusetts General Hospital · US

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI JENNIFER W MACK · 1985 to 2026
$330.6M
Targeting the Vasular SystemP50CA165962 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WENDY Beth LONDON · 2013 to 2026
$33.5M
Training Program in Nervous System TumorsK12CA090354 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PLOTKIN, SCOTT R · 2001 to 2025
$16.3M
Targeting the neuronal microenvironment in glioblastomaU19CA264504 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Tracy T Batchelor · 2021 to 2026
$6.4M
Imaging neuroglial mechanisms of neuropathic pain-opioid interaction in HIVR01DA047088 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI LOGGIA, MARCO LUCIANO, RATAI, EVA-MARIA · 2018 to 2022
$4.3M
Identifying Early Failure to Anti-angiogenic Therapy in Recurrent GBMR01CA190901 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI RATAI, EVA-MARIA · 2015 to 2018
$1.4M
NCI NIH HHS K12 CA090354NCI NIH HHS P30 CA006516NCI NIH HHS P50 CA165962NCI NIH HHS R01 CA190901NCI NIH HHS U19 CA264504NIDA NIH HHS R01 DA047088
6 · The paper itself

Abstract

Background: There is a need to establish biomarkers that distinguish between pseudoprogression (PsP) and true tumor progression in patients with glioblastoma (GBM) treated with chemoradiation. Methods: We analyzed magnetic resonance spectroscopic imaging (MRSI) and dynamic susceptibility contrast (DSC) MR perfusion data in patients with GBM with PsP or disease progression after chemoradiation. MRSI metabolites of interest included intratumoral choline (Cho), myo-inositol (mI), glutamate + glutamine (Glx), lactate (Lac), and creatine on the contralateral hemisphere (c-Cr). Student Results: 28 subjects (63 ± 9 years, 19 men) were evaluated. Subjects with true progression ( Conclusions: Incorporating enhancing lesion MRSI measures of mI/c-Cr and Lac/Glx into brain tumor imaging protocols can distinguish between PsP and true progression and inform patient management decisions.

Indexed as

glioblastoma (GBM)lactate (Lac)magnetic resonance spectroscopic imaging (MRSI)myo-inositol (mI)pseudoprogression (PsP)

Identifiers

PMID36071927
PMCPMC9446677
OpenAlexW4291448507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.