Evidence map›Paper›PMID 31873875›Full record

ArticleJournal of neuro-oncology2020

DCE-MRI perfusion predicts pseudoprogression in metastatic melanoma treated with immunotherapy.

Yoshie Umemura, Diane Wang, Kyung K Peck, Jessica Flynn, Zhigang Zhang, Robin Fatovic, Erik S Anderson, Kathryn Beal, Alexander N Shoushtari, Thomas Kaley and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  12. Correlation of KJournal for immunotherapy of cancer · 2024
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  18. Value for combination of TZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  19. Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response.International journal of molecular sciences · 2023
    Review
  20. 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

11 authors at 2 institutions in 1 country.

Yoshie UmemuraDepartment of Neurology, University of Michigan, 1914 Taubman Center, 1500 E. Medical Center Dr., SPC 5316, Ann Arbor, MI, 48109 5316, USA. yoshie@med.umich.edu.ORCID http://orcid.org/0000-0001-7137-661X
Diane WangDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kyung K PeckDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jessica FlynnDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Zhigang ZhangDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Robin FatovicDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Erik S AndersonDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kathryn BealDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alexander N ShoushtariDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Thomas KaleyDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Robert J YoungDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USUniversity of Michigan · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Summer research experiences for medical students supervised by faculty mentorsR25CA020449 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Charlotte Eielson Ariyan · 1985 to 2026
$6.2M
Core Grant P30 CA008748National Cancer Institute of the National Institutes of Health R25CA020449NCI NIH HHS P30 CA008748NCI NIH HHS R25 CA020449
6 · The paper itself

Abstract

purposeIt can be challenging to differentiate pseudoprogression from progression. We assessed the ability of dynamic contrast enhanced T1 MRI (DCE-MRI) perfusion to identify pseudoprogression in melanoma brain metastases.

methodsPatients with melanoma brain metastases who underwent immunotherapy and DCE-MRI were identified. Enhancing lesions ≥  5mm in diameter on DCE-MRI and that were new or increased in size between a week from beginning the treatment, and a month after completing the treatment were included in the analysis. The 90th percentiles of rVp and rKtrans and the presence or absence of hemorrhage were recorded. Histopathology served as the reference standard for pseudoprogression. If not available, pseudoprogression was defined as neurological and radiographic stability or improvement without any new treatment for ≥ 2 months.

resultsForty-four patients were identified; 64% received ipilimumab monotherapy for a median duration of 9 weeks (range, 1-138). Sixty-four lesions in 44 patients were included in the study. Of these, nine lesions in eight patients were determined to be pseudoprogression and seven lesions were previously irradiated. Forty-four progression lesions and eight pseudoprogression lesions were hemorrhagic. Median lesion volume for pseudoprogression and progression were not significantly different, at 2.3 cm

conclusionsPseudoprogression exhibited significantly lower rVp

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsDisease ProgressionFemaleFollow-Up StudiesHumansImmunotherapyMagnetic Resonance ImagingMaleMelanomaMiddle AgedPrognosisRetrospective StudiesSurvival RateBrain metastasesDCE-MRIImmune checkpoint inhibitorMelanomaPseudoprogression

Identifiers

PMID31873875
PMCPMC7545497
OpenAlexW2998135910

What OpenQuestion holds

Textmetadata
LicenceTDM
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.