Evidence map›Paper›PMID 41904586›Full record

ArticleRadiation oncology (London, England)2026

Clinical impact of novel cardiovascular and immune system dosimetric parameters in stage III NSCLC patients treated with radiotherapy.

Francesco Dionisi, Giulia Mascari, Isabella Sperduti, Lucia Goanta, Alessia Nardangeli, Pedro Ordonez, Marco D'Andrea, Antonella Soriani, Giuseppe Sanguineti

Abstract read
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Article in Radiation oncology (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Francesco DionisiRadiation Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy. francescodionisi2@gmail.com.
Giulia MascariRadiation Oncology, University of Perugia and Perugia General Hospital, Perugia, Italy.
Isabella SperdutiBiostatistics, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Lucia GoantaRadiation Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Alessia NardangeliRadiation Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Pedro OrdonezLaboratory of Medical Physics and Expert Systems, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Marco D'AndreaLaboratory of Medical Physics and Expert Systems, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Antonella SorianiLaboratory of Medical Physics and Expert Systems, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Giuseppe SanguinetiRadiation Oncology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the clinical impact of the dose to structures not routinely constrained in the radiation treatment (RT) of stage III NSCLC, such as the left anterior descending artery (LAD) and the estimated dose to the immune cells (EDIC). MATERIALS/

methodsThe dataset of all consecutive patients affected by stage III NSCLC and treated with definitive RT between 2012 and 2022 at our Institution were retrieved in this IRB approved retrospective study. The LAD was manually contoured following published guidelines. EDIC was calculated according to the model by Jin. Overall Survival (OS) was the primary endpoint of the study. Kaplan-Meier and Cox logistic regression statistics were used. Receiver operating characteristic curves evaluated cutoff DVH values.

results108 patients were analyzed with a median follow-up of 52 months (95% CI 27.5–76.5). Median RT dose was 60 Gy (54–69.3 Gy). Median OS was 29 months (95% CI 10.2–47.8). On multivariate analysis, when evaluating the EDIC as a continuous variable, EDIC (HR 1.4, 95% CI 1.08–1.8, P = 0.009) and mean heart dose (MHD) < 10 Gy (HR 1.8, 95% CI 1.0-3.2, P = 0.03) were significantly associated with OS. When the EDIC was evaluated as a categorical variable, EDIC ≥ 5 Gy (HR 2.2, 95% CI 1.2–4.1, P = 0.008), MHD < 10 (HR 1.9, 95% CI 1.1–3.2, P = 0.01) and LAD V15 < 47.5% (HR 0.5, 95% CI 0.2–0.9, P = 0.02) were significantly associated with OS. PTV was the only parameter significantly associated with EDIC > 5 Gy (HR 16,6 95% CI 4.5–61.3, P < 0.001), with a cutoff value of 457.1 cc.

conclusionsThe relevant impact of the EDIC on the outcome of stage III NSCLC patients treated with RT is confirmed. The EDIC threshold of 5 Gy here reported merits prospective validation. Our results also reinforced the importance of LAD contouring and optimization in the clinical practice of RT for stage III NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungCardiovascular SystemImmune SystemLung NeoplasmsOrgans at RiskAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRadiotherapy DosageRadiotherapy Planning, Computer-Assisted

Identifiers

PMID41904586
PMCPMC13130430

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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.