Evidence map›Paper›PMID 36834563›Full record

ReviewInternational journal of molecular sciences2023

Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response.

Nikita Vladimirov, Or Perlman

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  3. Article
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  6. Monitoring Pharmacological Treatment of Breast Cancer with MRI.Current issues in molecular biology · 2025
    Review
  7. Review
  8. Recent advances in non-invasiveBiomaterials science · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. 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

2 authors at 1 institution in 1 country.

Nikita VladimirovDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0003-1943-9139
Or PerlmanDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0002-3566-569X
Tel Aviv University · IL

Funding

European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement 836752 (OncoViroMRI)
6 · The paper itself

Abstract

Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has shown limited efficiency. However, many patients still fail to benefit from this treatment modality, and the exact mechanisms responsible for tumor response are unknown. Noninvasive treatment monitoring is crucial for longitudinal tumor characterization and the early detection of non-responders. While various medical imaging techniques can provide a morphological picture of the lesion and its surrounding tissue, a molecular-oriented imaging approach holds the key to unraveling biological effects that occur much earlier in the immunotherapy timeline. Magnetic resonance imaging (MRI) is a highly versatile imaging modality, where the image contrast can be tailored to emphasize a particular biophysical property of interest using advanced engineering of the imaging pipeline. In this review, recent advances in molecular-MRI based cancer immunotherapy monitoring are described. Next, the presentation of the underlying physics, computational, and biological features are complemented by a critical analysis of the results obtained in preclinical and clinical studies. Finally, emerging artificial intelligence (AI)-based strategies to further distill, quantify, and interpret the image-based molecular MRI information are discussed in terms of perspectives for the future.

Indexed as

Artificial IntelligenceNeoplasmsHumansImmunotherapyMagnetic Resonance ImagingMolecular Imagingapoptosisartificial intelligence (AI)cancerchemical exchange saturation transfer (CEST)immunotherapymagnetic resonance imaging (MRI)magnetic resonance spectroscopy (MRS)molecular imagingoncolytic virotherpaytreatment response

Identifiers

PMID36834563
PMCPMC9959624
OpenAlexW4319317834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.