Evidence map›Paper›PMID 35711358›Full record

ArticleFrontiers in cardiovascular medicine2022

Cardiovascular Magnetic Resonance in Early Detection of Radiation Associated Cardiotoxicity With Chest Radiation.

Srilakshmi Vallabhaneni, Yue Wang, Ying Zhang, Amanda Smith, Wei Zou, Steven Feigenberg, John Plastaras, Gary Freedman, Walter R T Witschey, Bonnie Ky and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Heart is a heavy burden: cardiac toxicity in radiation oncology.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Review
  2. Review
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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

11 authors at 4 institutions in 2 countries.

Srilakshmi VallabhaneniCardiovascular Division, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Yue WangCardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Ying ZhangDepartment of Cardiology, People's Liberation Army (PLA) General Hospital, Beijing, China.
Amanda SmithCardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Wei ZouDepartment of Radiation Oncology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Steven FeigenbergDepartment of Radiation Oncology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
John PlastarasDepartment of Radiation Oncology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Gary FreedmanDepartment of Radiation Oncology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Walter R T WitscheyDepartment of Radiology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Bonnie KyCardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
Yuchi HanCardiovascular Division, Department of Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States.
University of Pennsylvania · USShanghai Jiao Tong University · CNThe Ohio State University Wexner Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

Imaging-based Indentification of Premature Ventricular Contraction-mediatedR01HL148103 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HAN, YUCHI · 2020 to 2025
$2.8M
NHLBI NIH HHS R01 HL148103
6 · The paper itself

Abstract

Background: Chest radiation therapy (RT) is known to be associated with cardiotoxicity. However, the changes in myocardial tissue characterization with radiation-induced cardiotoxicity are not well-understood. Objectives: This study sought to assess the changes in left ventricular function and tissue characterization using cardiovascular magnetic resonance (CMR) in patients receiving RT. Materials and Methods: Between June 2015 and July 2018, we enrolled patients with breast, lung cancer, or lymphoma with plan to receive chest radiation after chemotherapy. CMR was performed using a 1.5T scanner at baseline and 6 months after RT. Myocardial volume, function, strain analysis using feature tracking, and tissue characterization including late gadolinium enhancement (LGE), T1, T2, T1ρ (rho), and extracellular volume fraction (ECV) were measured and compared using non-parametric methods. Results: The final cohort consisted of 16 patients, 11 of whom completed both baseline and follow-up CMRs. Patients were matched to 10 healthy controls. At baseline prior to RT, compared to controls, patients had lower global circumferential strain (GCS) (15.3 ± 2.2% vs.18.4 ± 2.1%, Conclusion: At 6-month following chest radiation therapy, there was no change in LV and RV EF, LV and RV GLS, LV GCS, and myocardial tissue characterization using LGE, T1, ECV, T2, and T1ρ in a small cohort of patients. However, the baseline T2 and T1ρ were elevated and LV GCS was reduced compared to controls indicating ongoing myocardial edema and subclinical dysfunction post-chemotherapy.

Indexed as

cardiooncologychemotherapy associated cardiotoxicityCMRprospective cohort studyradiation cardiotoxicity

Identifiers

PMID35711358
PMCPMC9192956
OpenAlexW4281696491

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.