Evidence map›Paper›PMID 22594342›Full record

Trial reportRadiation oncology (London, England)2012

Functional dosimetric metrics for predicting radiation-induced lung injury in non-small cell lung cancer patients treated with chemoradiotherapy.

Dongqing Wang, Jinbo Sun, Jingyu Zhu, Xiaohong Li, Yanbo Zhen, Songtao Sui

Open access · goldAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Radiation oncology (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.7field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Framework for radiation pneumonitis risk stratification based on anatomic and perfused lung dosimetry.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2017
    Article
  9. Article
  10. Dose-volume histogram parameters for predicting radiation pneumonitis using receiver operating characteristic curve.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2013
    Article
  11. Article
  12. 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

6 authors at 3 institutions in 1 country.

Dongqing WangDepartment of Radiation Oncology, Shandong Cancer Hospital, Shandong Academy of Medical Sciences, Jinan, People’s Republic China.
Jinbo Sun
Jingyu Zhu
Xiaohong Li
Yanbo Zhen
Songtao Sui
Jinan Central Hospital · CNShandong Tumor Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiation-induced lung injury (RILI) is an important dose-limiting toxicity during thoracic radiotherapy. The purpose of this study is to investigate single photon emission computed tomography (SPECT) perfusion-weighted functional dose-volume histogram (FDVH) for predicting RILI in non-small cell lung cancer (NSCLC) patients treated with definitive chemoradiotherapy.

methodsFifty-seven locally advanced NSCLC patients receiving chemoradiotherapy were enrolled prospectively. Patients had treatment scans and dose calculations to provide a standard dose-volume histogram (DVH). Fusion of SPECT and computed tomography scans provided perfusion-weighted FDVH and associated functional dosimetric parameters (relative volumes of functional lung receiving more than a threshold dose of 5 - 60 Gy at increments of 5 Gy [FV5 - FV60]). The predictive abilities of FDVH and DVH were calculated and compared based on the area under receiver operating characteristic (ROC) curve (AUC).

resultsThe accumulative incidence of  ≥  2 grade RILI was 19.3% with a median follow-up of 12 months. Univariate analysis showed that the functional (FV5 - FV60) and standard (V5 - V40) parameters were associated with RILI (all value of p < 0.05). Close correlations between a variety of functional and standard parameters were found. By ROC curve analysis, functional metrics (AUCs were 0.784 - 0.869) provided similarly (p value 0.233 - 1.000) predictive outcome to standard metrics (AUCs were 0.695 - 0.902) in lower - median dose level parameters (FV5 - FV40). However, FDVH seemed to add some predictive value in higher dose level, the best statistical significance for comparing FV60 with V60 was 0.693 vs. 0.511 (p = 0.055).

conclusionsFunctional metrics are identified as reliable predictors for RILI, however, this observation still needs to be further verified using a larger sample size.

Indexed as

ChemoradiotherapyAdultAgedCarcinoma, Non-Small-Cell LungFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingProspective StudiesRadiation DosageRadiation PneumonitisRadiometryROC Curve

Identifiers

PMID22594342
PMCPMC3434088
OpenAlexW2090310134

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.