Evidence map›Paper›PMID 36879654›Full record

ArticleClinical and translational radiation oncology2023

Mid-treatment adaptive planning during thoracic radiation using 68 Ventilation-Perfusion Positron emission tomography.

Nicholas Bucknell, Nicholas Hardcastle, Roshini Gunewardena, Long Nguyen, Jason Callahan, David Ball, Lisa Selbie, Tomas Kron, Guy-Anne Turgeon, Michael S Hofman and 1 more

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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.

Nicholas BucknellDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Nicholas HardcastleDepartment of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Australia.
Roshini GunewardenaDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Long NguyenDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Jason CallahanSir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.
David BallDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Lisa SelbieDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Tomas KronSir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.
Guy-Anne TurgeonDepartment of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke,Canada.
Michael S HofmanSir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.
Shankar SivaDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Four-Dimensional Gallium 68 Ventilation-Perfusion Positron Emission Tomography ( Methods: A prospective clinical trial (U1111-1138-4421) was performed in patients undergoing conventionally fractionated radiation therapy for non-small cell lung cancer (NSCLC). A Results: 25 patients had both baseline and 4 week mid treatment Conclusion: Functional lung volumes change during treatment. Some patients benefit from using

Indexed as

4D imagingAdaptive radiotherapyFunctional imagingLung cancerPositron emission tomographyVolumetric arc therapy

Identifiers

PMID36879654
PMCPMC9984948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.