Evidence map›Paper›PMID 26018527›Full record

ArticleRadiation oncology (London, England)2015

Normal tissue complication models for clinically relevant acute esophagitis (≥ grade 2) in patients treated with dose differentiated accelerated radiotherapy (DART-bid).

Franz Zehentmayr, Matthias Söhn, Ann-Katrin Exeli, Karl Wurstbauer, Almut Tröller, Heinz Deutschmann, Gerd Fastner, Christoph Fussl, Philipp Steininger, Manfred Kranzinger and 3 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  3. Esophageal Mucosal Injuries From Drugs, Radiation, and Caustic Agents.The Korean journal of helicobacter and upper gastrointestinal research · 2025
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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

13 authors at 3 institutions in 3 countries.

Franz ZehentmayrUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. f.zehentmayr@salk.at.
Matthias SöhnDepartment of Radiotherapy and Radiation Oncology, Ludwig-Maximilians-Universität Munich, Marchioninistr. 15, 81377, Munich, Germany. matthias.soehn@med.uni-muenchen.de.
Ann-Katrin ExeliUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. a.exeli@salk.at.
Karl WurstbauerInstitute for Research and Development of Advanced Radiation Technologies (radART), Paracelsus Medizinische Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. k.wurstbauer@salk.at.
Almut TröllerDepartment of Radiotherapy and Radiation Oncology, Ludwig-Maximilians-Universität Munich, Marchioninistr. 15, 81377, Munich, Germany. almut.troeller@med.uni-muenchen.de.
Heinz DeutschmannUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. h.deutschmann@salk.at.
Gerd FastnerUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. g.fastner@salk.at.
Christoph FusslUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. c.fussl@salk.at.
Philipp SteiningerInstitute for Research and Development of Advanced Radiation Technologies (radART), Paracelsus Medizinische Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. philipp.steininger@pmu.ac.at.
Manfred KranzingerUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. m.kranzinger@salk.at.
Claus BelkaDepartment of Radiotherapy and Radiation Oncology, Ludwig-Maximilians-Universität Munich, Marchioninistr. 15, 81377, Munich, Germany. claus.belka@med.uni-muenchen.de.
Michael StudnickaUniv.-Klinik für Pneumologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. m.studnicka@salk.at.
Felix SedlmayerUniv.-Klinik für Radiotherapie und Radio-Onkologie, Landeskrankenhaus Salzburg, Univ.-Klinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstr. 48, 5020, Salzburg, Austria. f.sedlmayer@salk.at.
University of Salzburg · ATParacelsus Medical University · ATLudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the primary dose-limiting toxicities during thoracic irradiation is acute esophagitis (AE). The aim of this study is to investigate dosimetric and clinical predictors for AE grade ≥ 2 in patients treated with accelerated radiotherapy for locally advanced non-small cell lung cancer (NSCLC). PATIENTS AND

methods66 NSCLC patients were included in the present analysis: 4 stage II, 44 stage IIIA and 18 stage IIIB. All patients received induction chemotherapy followed by dose differentiated accelerated radiotherapy (DART-bid). Depending on size (mean of three perpendicular diameters) tumors were binned in four dose groups: <2.5 cm 73.8 Gy, 2.5-4.5 cm 79.2 Gy, 4.5-6 cm 84.6 Gy, >6 cm 90 Gy. Patients were treated in 3D target splitting technique. In order to estimate the normal tissue complication probability (NTCP), two Lyman models and the cutoff-logistic regression model were fitted to the data with AE ≥ grade 2 as statistical endpoint. Inter-model comparison was performed with the corrected Akaike information criterion (AICc), which calculates the model's quality of fit (likelihood value) in relation to its complexity (i.e. number of variables in the model) corrected by the number of patients in the dataset. Toxicity was documented prospectively according to RTOG.

resultsThe median follow up was 686 days (range 84-2921 days), 23/66 patients (35 %) experienced AE ≥ grade 2. The actuarial local control rates were 72.6 % and 59.4 % at 2 and 3 years, regional control was 91 % at both time points. The Lyman-MED model (D50 = 32.8 Gy, m = 0.48) and the cutoff dose model (Dc = 38 Gy) provide the most efficient fit to the current dataset. On multivariate analysis V38 (volume of the esophagus that receives 38 Gy or above, 95 %-CI 28.2-57.3) was the most significant predictor of AE ≥ grade 2 (HR = 1.05, CI 1.01-1.09, p = 0.007).

conclusionFollowing high-dose accelerated radiotherapy the rate of AE ≥ grade 2 is slightly lower than reported for concomitant radio-chemotherapy with the additional benefit of markedly increased loco-regional tumor control. In the current patient cohort the most significant predictor of AE was found to be V38. A second clinically useful parameter in treatment planning may be MED (mean esophageal dose).

Indexed as

Models, StatisticalAcute DiseaseAdenocarcinomaAdultAgedAged, 80 and overAustriaCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellChemoradiotherapyDose Fractionation, RadiationEsophagitisFemaleHumansIncidenceLung Neoplasms

Identifiers

PMID26018527
PMCPMC4450607
OpenAlexW2101401707

What OpenQuestion holds

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LicenceCC BY
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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.