Evidence mapPaperPMID 42449643Full record

ReviewCancers2026

A Systems Approach to Radiation-Induced Cardiopulmonary Toxicity-A Narrative Literature Review Focusing on the Interdependence of the Heart and the Lung in Thoracic Radiotherapy.

Arezoo Modiri, Hairong Chen, Timm-Michael L Dickfeld, Jeffrey D Bradley, Amit Sawant

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In one paragraph

Review in Cancers, 2026. 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

5 authors.

Arezoo ModiriDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0001-7341-5862
Hairong ChenDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Timm-Michael L DickfeldCardiology, University of Maryland Medical Center, Baltimore, MD 21201, USA.
Jeffrey D BradleyDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Amit SawantDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic radiotherapy, widely used in the treatment of mediastinal tumors, frequently exposes both the heart and lungs to ionizing radiation. While physiological interactions and shared vulnerability of the two organs have been known, heart and lung toxicities are assessed separately due to the lack of systematic studies and computational models demonstrating their interactions. For instance, based on the most updated NCCN guidelines for esophageal cancer, radiation prescriptions for preoperative, postoperative, and definitive intents are 41.4-50.4 Gy. Cardiopulmonary toxicities are well-known treatment side-effects in this disease site. Therefore, an exhaustive multi-layered list of dose-limits for lung and heart protection are recommended by NCCN guidelines. However, no combined or conditional (on the other organ's status) dose-limits are considered. Furthermore, while recommendations for dosimetric consideration of substructures during planning are becoming more common, whole heart and whole lung doses stay the main references for cardiac and pulmonary toxicities. A growing body of pre-clinical and clinical studies has investigated the interaction between cardiac and pulmonary systems in the context of radiation-induced toxicity. However, an analysis of cardiopulmonary system's collective response to radiation-particularly in predictive modeling, toxicity assessment, and treatment planning-is currently lacking. Here, we review the harmful interdependent interactions between the heart and lungs, especially in cancer patients and in response to treatment. Then we study the existing cardiopulmonary system models and conclude with potential strategies to collect the required parameters for models applicable to radiotherapy.

Indexed as

cardiac toxicitycardiopulmonary systemdose response modelingheart and lung interactionspulmonary toxicityradiation toxicity

Identifiers

PMID42449643
PMCPMC13360014

What Socratic holds

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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 Socratic graph.