Evidence map›Paper›PMID 28969651›Full record

ArticleRadiation oncology (London, England)2017

Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis.

Yasuki Uchida, Takuya Tsugawa, Sachiko Tanaka-Mizuno, Kazuo Noma, Ken Aoki, Wataru Shigemori, Hiroaki Nakagawa, Daisuke Kinose, Masafumi Yamaguchi, Makoto Osawa and 2 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2017. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hyperacute Radiation Pneumonitis after Severe irAE.Diagnostics (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
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

12 authors.

Yasuki UchidaDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Takuya TsugawaDepartment of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan.
Sachiko Tanaka-MizunoDepartment of Medical Statistics, Shiga University of Medical Science, Otsu, Shiga, Japan.
Kazuo NomaDepartment of Radiology, Shiga University of Medical Science Hospital, Otsu, Shiga, Japan.
Ken AokiDepartment of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan.
Wataru ShigemoriDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Hiroaki NakagawaDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Daisuke KinoseDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Masafumi YamaguchiDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Makoto OsawaDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Emiko OgawaDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
Yasutaka NakanoDivision of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan. nakano@belle.shiga-med.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk factors for radiation pneumonitis (RP) in patients with chronic obstructive pulmonary disease (COPD) are unclear. Mean lung dose (MLD) and percentage of irradiated lung volume are common predictors of RP, but the most accurate dosimetric parameter has not been established. We hypothesized that the total lung volume irradiated without emphysema would influence the onset of RP.

methodsWe retrospectively evaluated 100 patients who received radiotherapy for lung cancer. RP was graded according to the Common Terminology Criteria for Adverse Events (version 4.03). We quantified low attenuation volume (LAV) using quantitative computed tomography analysis. The association between RP and traditional dosimetric parameters including MLD, volume of the lung receiving a dose of ≥2 Gy, ≥ 5 Gy, ≥ 10 Gy, ≥ 20 Gy, and ≥30 Gy, and counterpart measurements of the lung without LAV, were analyzed by logistic regression. We compared each dosimetric parameter for RP using multiple predictive performance measures including area under the receiver operating characteristic curve (AUC) and integrated discrimination improvement (IDI).

resultsOf 100 patients, RP of Grades 1, 2, 3, 4, and 5 was diagnosed in 24, 12, 13, 1, and 1 patients, respectively. Compared with traditional dosimetric parameters, counterpart measurements without LAV improved risk prediction of symptomatic RP. The ratio of the lung without LAV receiving ≥30 Gy to the total lung volume without LAV most accurately predicted symptomatic RP (AUC, 0.894; IDI, 0.064).

conclusionIrradiated lung volume without LAV predicted RP more accurately than traditional dosimetric parameters.

Indexed as

AdultAgedAged, 80 and overDose-Response Relationship, RadiationFemaleHumansLung NeoplasmsMaleMiddle AgedPulmonary Disease, Chronic ObstructiveRadiation PneumonitisRadiotherapy DosageRetrospective StudiesRisk FactorsChronic obstructive pulmonary diseaseDosimetric parameterLow attenuation volumeLung cancerRadiation pneumonitis

Identifiers

PMID28969651
PMCPMC5625816

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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.