Evidence map›Paper›PMID 35994050›Full record

ArticleAnnals of lymphoma2021

Primary central nervous system lymphoma: advances in MRI and PET imaging.

Prakash Ambady, Leland S Hu, Letterio S Politi, Nicoletta Anzalone, Ramon F Barajas

Open access · diamondAbstract read
In one paragraph

Article in Annals of lymphoma, 2021. 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
1.5field-weighted citation impact, top 15% 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, 20 citations in OpenAlex.

  1. Trial
  2. Review
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  5. Article
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  7. Article
  8. Article
  9. Updates of primary central nervous system lymphoma.Therapeutic advances in hematology · 2024
    Review
  10. Article
  11. Article
  12. A cerebral lymphoma mimicking a meningioma: case report.Annals of medicine and surgery (2012) · 2023
    Article
  13. Article
  14. Review
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

5 authors at 5 institutions in 2 countries.

Prakash AmbadyDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Leland S HuDepartment of Radiology, Neuroradiology Division, Mayo Clinic, Phoenix, AZ, USA.
Letterio S PolitiDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Nicoletta AnzaloneNeuroradiology Unit, IRCCS San Raffaele Hospital and Vita e Salute University, Milan, Italy.
Ramon F BarajasKnight Cancer Institute Translational Oncology Program, Oregon Health & Science University, Portland, OR, USA.
Advanced Imaging Research (United States) · USHumanitas University · ITMayo Clinic in Florida · USOregon Health & Science University · USVita-Salute San Raffaele University · IT

Funding

Quantifying Multiscale Competitive Landscapes of Clonal Diversity in GlioblastomaU01CA220378 · NCI · MAYO CLINIC ARIZONA · PI HU, LELAND, MITCHELL, JOSEPH ROSS · 2017 to 2021
$4.3M
Langworthy Diversity Supplement: Image-based models of tumor-immune dynamics in glioblastomaU01CA250481 · NCI · MAYO CLINIC ARIZONA · PI CANOLL, PETER, HU, LELAND · 2021 to 2025
$3.8M
Defining the Hypoxic Immunosuppressive Microenvironment as a Biomarker of Therapy Efficacy in Glioblastoma Using Iron Oxide Enhanced FMISO PET/MRIK08CA237809 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARAJAS, RAMON FRANCISCO · 2020 to 2024
$1.2M
Multi-site Validation and Application of a Consensus DSC MRI ProtocolR01CA221938 · NCI · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI BOXERMAN, JERROLD L, HU, LELAND · 2018 to 2020
$738k
MRI-based mapping of regional genomic diversity in GlioblastomaR21NS082609 · NINDS · MAYO CLINIC ARIZONA · PI HU, LELAND · 2013 to 2014
$525k
NCI NIH HHS K08 CA237809NCI NIH HHS R01 CA221938NCI NIH HHS U01 CA220378NCI NIH HHS U01 CA250481NINDS NIH HHS R21 NS082609
6 · The paper itself

Abstract

Contrast enhanced magnetic resonance imaging (CE-MRI) remains the imaging modality of choice for initial workup, staging, and response assessment after therapy in patients with primary central nervous system lymphoma (PCNSL). While CE-MRI is a sensitive test to detect blood brain barrier (BBB) dysfunction, it does not biologically represent the true tumor burden. Current response assessment criteria relies heavily on two dimensional anatomical measurements on post contrast T1-weighted (T1W) images, as well as pre-contrast T2-weighted (T2W) imaging. Additional MRI features, such as diffusion-weighted imaging (DWI) and perfusion weighted imaging, can be routinely obtained at most centers with MRI capabilities. Emerging evidence supports the incorporation of these data to better define tumor physiology and provide additional valuable clinical tools capable of identifying high risk subgroups as well as early predictors of response to therapies. Further, novel advanced molecular and pathophysiologic characterization of PCNSL provides insights into promising targeted therapeutic approaches. However, significant institutional imaging variation and inconsistent clinical trial reporting diminishes the reliability, reproducibility and eventual translation in day to day management of patients with PCNSL. Here we review established neuroimaging concepts and provide an overview of published literature about novel imaging techniques that may improve diagnosis and response assessments. Finally, we highlight the need for standardization of image acquisition, post-processing, and incorporation of novel imaging biomarkers in early phase PCNSL clinical trials.

Indexed as

diffusion-weighted imaging (DWI)magnetic resonance imaging (MRI)positron emission tomography (PET)Primary central nervous system lymphoma (PCNSL)

Identifiers

PMID35994050
PMCPMC9387672
OpenAlexW3175639337

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.