Evidence map›Paper›PMID 36575477›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2022

Whole body FDG PET/MR for progression free and overall survival prediction in patients with relapsed/refractory large B-cell lymphomas undergoing CAR T-cell therapy.

Therese Sjöholm, Alexander Korenyushkin, Gustav Gammelgård, Tina Sarén, Tanja Lövgren, Angelica Loskog, Magnus Essand, Joel Kullberg, Gunilla Enblad, Håkan Ahlström

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. The prognostic utility ofFrontiers in immunology · 2024
    Pooled it
  2. Pooled it
  3. Trial
  4. Single-Cell RNA Analysis Reveals Cell-Intrinsic Functions of CAR T Cells Correlating with Response in a Phase II Study of Lymphoma Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Trial
  5. Imaging the efficacy and side effects of CAR T-cell therapy in children and young adults.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Review
  6. Article
  7. Review
  8. Metabolic Tumor Volume Response after Bridging Therapy Determines Chimeric Antigen Receptor T-Cell Outcomes in Large B-Cell Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Therese Sjöholm *Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. therese.sjoholm@surgsci.uu.se.ORCID http://orcid.org/0000-0003-3072-749X
Alexander Korenyushkin *Antaros Medical AB, Mölndal, Sweden.
Gustav GammelgårdDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Tina SarénDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Tanja LövgrenDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Angelica LoskogDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Magnus EssandDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Joel KullbergDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Gunilla Enblad *Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Håkan Ahlström *Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Uppsala University · SEAntaros Medical (Sweden) · SE

Funding

Cancerfonden 19 0184PjCancerfonden 20 1303PjFVetenskapsrådet 2019-01326Vetenskapsrådet 2019-01721
6 · The paper itself

Abstract

backgroundTo find semi-quantitative and quantitative Positron Emission Tomography/Magnetic Resonance (PET/MR) imaging metrics of both tumor and non-malignant lymphoid tissue (bone marrow and spleen) for Progression Free Survival (PFS) and Overall Survival (OS) prediction in patients with relapsed/refractory (r/r) large B-cell lymphoma (LBCL) undergoing Chimeric Antigen Receptor (CAR) T-cell therapy.

methodsA single-center prospective study of 16 r/r LBCL patients undergoing CD19-targeted CAR T-cell therapy. Whole body 18F-fluorodeoxyglucose (FDG) PET/MR imaging pre-therapy and 3 weeks post-therapy were followed by manual segmentation of tumors and lymphoid tissues. Semi-quantitative and quantitative metrics were extracted, and the metric-wise rate of change (Δ) between post-therapy and pre-therapy calculated. Tumor metrics included maximum Standardized Uptake Value (SUV

resultsPre-therapy (p < 0.05, FDR < 0.05) and Δ (p < 0.05, FDR > 0.05) total tumor burden structural and metabolic metrics were associated with PFS and/or OS. According to Kaplan-Meier analysis, a longer PFS was reached for patients with pre-therapy MTV ≤ 39.5 ml, ΔMTV≤1.35 and ΔTLG≤1.35. ΔSUV

conclusionsMTV, tumor ADC

trial registrationEudraCT 2016-004043-36.

Indexed as

Fluorodeoxyglucose F18Lymphoma, Large B-Cell, DiffuseDisease-Free SurvivalHumansImmunotherapy, AdoptiveMagnetic Resonance ImagingMagnetic Resonance SpectroscopyPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisProspective StudiesRadiopharmaceuticalsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsADCBone marrowCAR T-cellsFDGImmunotherapyLBCLPET/MR

Identifiers

PMID36575477
PMCPMC9793670
OpenAlexW4312201050

What Socratic 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 Socratic graph.