Evidence map›Paper›PMID 25360627›Full record

ArticlePloS one2014

Complication probability models for radiation-induced heart valvular dysfunction: do heart-lung interactions play a role?

Laura Cella, Giuseppe Palma, Joseph O Deasy, Jung Hun Oh, Raffaele Liuzzi, Vittoria D'Avino, Manuel Conson, Novella Pugliese, Marco Picardi, Marco Salvatore and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  9. Myths and realities of range uncertainty.The British journal of radiology · 2020
    Review
  10. Article
  11. Cardiovascular Damage Associated With Chest Irradiation.Frontiers in cardiovascular medicine · 2020
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. New approach in lung cancer radiotherapy offers better normal tissue sparing.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2016
    Article
  17. Article
  18. Predicting radiation-induced valvular heart damage.Acta oncologica (Stockholm, Sweden) · 2015
    Article
  19. Article
  20. 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.

Laura CellaInstitute of Biostructure and Bioimaging, National Council of Research (CNR), Naples, Italy; Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy.
Giuseppe PalmaInstitute of Biostructure and Bioimaging, National Council of Research (CNR), Naples, Italy.
Joseph O DeasyDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
Jung Hun OhDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
Raffaele LiuzziInstitute of Biostructure and Bioimaging, National Council of Research (CNR), Naples, Italy; Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy.
Vittoria D'AvinoInstitute of Biostructure and Bioimaging, National Council of Research (CNR), Naples, Italy.
Manuel ConsonInstitute of Biostructure and Bioimaging, National Council of Research (CNR), Naples, Italy; Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy.
Novella PuglieseDepartment of Clinical Medicine and Surgery, Federico II University School of Medicine, Naples, Italy.
Marco PicardiDepartment of Clinical Medicine and Surgery, Federico II University School of Medicine, Naples, Italy.
Marco SalvatoreDepartment of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy.
Roberto PacelliInstitute of Biostructure and Bioimaging, National Council of Research (CNR), Naples, Italy; Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to compare different normal tissue complication probability (NTCP) models for predicting heart valve dysfunction (RVD) following thoracic irradiation.

methodsAll patients from our institutional Hodgkin lymphoma survivors database with analyzable datasets were included (n = 90). All patients were treated with three-dimensional conformal radiotherapy with a median total dose of 32 Gy. The cardiac toxicity profile was available for each patient. Heart and lung dose-volume histograms (DVHs) were extracted and both organs were considered for Lyman-Kutcher-Burman (LKB) and Relative Seriality (RS) NTCP model fitting using maximum likelihood estimation. Bootstrap refitting was used to test the robustness of the model fit. Model performance was estimated using the area under the receiver operating characteristic curve (AUC).

resultsUsing only heart-DVHs, parameter estimates were, for the LKB model: D50 = 32.8 Gy, n = 0.16 and m = 0.67; and for the RS model: D50 = 32.4 Gy, s = 0.99 and γ = 0.42. AUC values were 0.67 for LKB and 0.66 for RS, respectively. Similar performance was obtained for models using only lung-DVHs (LKB: D50 = 33.2 Gy, n = 0.01, m = 0.19, AUC = 0.68; RS: D50 = 24.4 Gy, s = 0.99, γ = 2.12, AUC = 0.66). Bootstrap result showed that the parameter fits for lung-LKB were extremely robust. A combined heart-lung LKB model was also tested and showed a minor improvement (AUC = 0.70). However, the best performance was obtained using the previously determined multivariate regression model including maximum heart dose with increasing risk for larger heart and smaller lung volumes (AUC = 0.82).

conclusionsThe risk of radiation induced valvular disease cannot be modeled using NTCP models only based on heart dose-volume distribution. A predictive model with an improved performance can be obtained but requires the inclusion of heart and lung volume terms, indicating that heart-lung interactions are apparently important for this endpoint.

Indexed as

Models, CardiovascularProbabilityConfidence IntervalsDose-Response Relationship, RadiationHeart ValvesHumansLikelihood FunctionsLungRadiation InjuriesROC Curve

Identifiers

PMID25360627
PMCPMC4216137

What OpenQuestion 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 OpenQuestion graph.