Evidence map›Paper›PMID 40867264›Full record

ArticleCancers2025

CT-Based Pericardial Composition Change as an Imaging Biomarker for Radiation-Induced Cardiotoxicity.

Arezoo Modiri, Ivan R Vogelius, Cynthia Terrones Campos, Denis Kutnar, Jean Jeudy, Mette Pohl, Timm-Michael L Dickfeld, Soren M Bentzen, Amit Sawant, Jens Petersen

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Arezoo ModiriDepartment of Radiation Oncology, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0001-7341-5862
Ivan R VogeliusDepartment of Oncology, Rigshospitalet, 2100 Copenhagen, Denmark.
Cynthia Terrones CamposDepartment of Oncology, Rigshospitalet, 2100 Copenhagen, Denmark.
Denis KutnarDepartment of Oncology, Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0003-2347-6637
Jean JeudyDiagnostic Radiology, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0002-6028-459X
Mette PohlDepartment of Oncology, Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0001-9266-8662
Timm-Michael L DickfeldDivision of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore; MD 21201, USA.
Soren M BentzenDepartment of Radiation Oncology, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.
Amit SawantDepartment of Radiation Oncology, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.
Jens PetersenDepartment of Oncology, Rigshospitalet, 2100 Copenhagen, Denmark.

Funding

Danish Cancer Society A20676Danish National Research Foundation 126
6 · The paper itself

Abstract

BACKGROUND/

objectivesNo reliable noninvasive biomarkers are available to predict RT-induced cardiotoxicity. Because the pericardial sac is a fast responder to cardiac injury, we investigated whether RT-induced radiographic pericardial changes might serve as early imaging biomarkers for late cardiotoxicity.

methodsWe performed a retrospective study of 476 patients (210 males, 266 females; median age, 69 years; median follow-up, 26.7 months) treated with chemo-RT for small cell and non-small cell lung cancers at one single institution from 2009 to 2020. The heart and its 4 mm outmost layer (representing the pericardial sac) were contoured on standard-of-care baseline CTs. Six-month post-RT follow-up CTs were deformably registered on the baseline CTs. Data were harmonized for the effect of contrast. We labeled voxels as Fat, Fluid, Heme, Fibrous, and Calcification using Hounsfield units (HUs). We studied pericardial HU-change histograms as well as volume change and voxel-based mass change in each tissue composition.

resultsPericardial HU-change histograms had skewed distributions with a mean that was significantly correlated with mean pericardial dose. Voxels within Fluid, Heme, and Fibrous had mass changes consistent with the dose. In Kaplan-Meier curves, Fibrous and Heme volume changes (translating into thickening and effusion), Fat mass change, mean doses to heart and pericardium, history of cardiac disease, and being male were significantly associated with shorter survival, whereas thickening and effusion were significantly associated with shorter time to a post-RT cardiovascular disease diagnosis.

conclusionsPericardium composition distribution has dose-dependent changes detectable on standard-of-care CTs at around 6 months post-RT and may serve as surrogate markers for clinically relevant cardiotoxicity. The findings should be validated with additional research.

Indexed as

adverse outcomescomputed tomographyimaging biomarkerslung cancerpericardiumradiation-induced cardiotoxicityradiation therapy

Identifiers

PMID40867264
PMCPMC12384465

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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.