Evidence map›Paper›PMID 36471318›Full record

ArticleBMC medical imaging2022

Dynamic contrast enhanced MRI of pulmonary adenocarcinomas for early risk stratification: higher contrast uptake associated with response and better prognosis.

Stephan Rheinheimer, Petros Christopoulos, Stella Erdmann, Julia Saupe, Heiko Golpon, Jens Vogel-Claussen, Julien Dinkel, Michael Thomas, Claus Peter Heussel, Hans-Ulrich Kauczor and 1 more

Abstract read
In one paragraph

Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. MRI for Lung Cancer Management: Any Closer to Clinical Application?Journal of magnetic resonance imaging : JMRI · 2026
    Review
  3. Review
  4. Article
  5. Article
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.

Stephan RheinheimerDiagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126, Heidelberg, Germany. Stephan.Rheinheimer@med.uni-heidelberg.de.
Petros ChristopoulosTranslational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Stella ErdmannMedical Biometry, Institute of Medical Biometry, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Julia SaupeDiagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126, Heidelberg, Germany.
Heiko GolponTranslational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Jens Vogel-ClaussenTranslational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Julien DinkelTranslational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Michael ThomasTranslational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Claus Peter HeusselDiagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126, Heidelberg, Germany.
Hans-Ulrich KauczorDiagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Gudula HeusselDiagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the prognostic value of serial dynamic contrast-enhanced (DCE) MRI in patients with advanced pulmonary adenocarcinoma undergoing first-line therapy with either tyrosine-kinase inhibitors (TKI) or platinum-based chemotherapy (PBC).

methodsPatients underwent baseline (day 0, n = 98), and post-therapeutic DCE MRI (PBC: day + 1, n = 52); TKI: day + 7, n = 46) at 1.5T. Perfusion curves were acquired at 10, 40, and 70 s after contrast application and analysed semiquantitatively. Treatment response was evaluated at 6 weeks by CT (RECIST 1.1); progression-free survival (PFS) and overall survival  were analysed with respect to clinical and perfusion parameters. Relative uptake was defined as signal difference between contrast and non-contrast images, divided by the non-contrast signal. Predictors of survival were selected using Cox regression analysis. Median follow-up was 825 days.

resultsIn pre-therapeutic and early post-therapeutic MRI, treatment responders (n = 27) showed significantly higher relative contrast uptake within the tumor at 70 s after application as compared to non-responders (n = 71, p ≤ 0.02), response defined as PR by RECIST 1.1 at 6 weeks. There was no significant change of perfusion at early MRI after treatment. In multivariate regression analysis of selected parameters, the strongest association with PFS were relative uptake at 40 s in the early post-treatment MRI and pre-treatment clinical data (presence of liver metastases, ECOG performance status).

conclusionHigher contrast uptake within the tumor at pre-treatment and early post-treatment MRI was associated with treatment response and better prognosis. DCE MRI of pulmonary adenocarcinoma may provide important prognostic information.

Indexed as

AdenocarcinomaLiver NeoplasmsContrast MediaHumansMagnetic Resonance ImagingPrognosisTreatment OutcomeContrast MediaEarly responseMagnetic resonance imagingNon-small-cell lung carcinomaPerfusionPlatinumProgression-free survivalProtein-tyrosine kinasesResponse evaluation criteria in solid tumorsSurvival analysisTreatment outcome

Identifiers

PMID36471318
PMCPMC9724354

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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.