Evidence map›Paper›PMID 31027639›Full record

ArticleSeminars in radiation oncology2019

Practical Clinical Workflows for Online and Offline Adaptive Radiation Therapy.

Olga L Green, Lauren E Henke, Geoffrey D Hugo

Abstract read
In one paragraph

Article in Seminars in radiation oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 2 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

118 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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58 more citing papers are in PubMed but not listed here.

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

3 authors.

Olga L GreenDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO.
Lauren E HenkeDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO.
Geoffrey D HugoDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO. Electronic address: gdhugo@wustl.edu.

Funding

Consistent anatomy registration for lung cancer adaptive radiation therapyR01CA166119 · NCI · WASHINGTON UNIVERSITY · PI HUGO, GEOFFREY D · 2013 to 2017
$1.5M
NCI NIH HHS R01 CA166119
6 · The paper itself

Abstract

Adaptive radiotherapy emerged over 20 years ago and is now an established clinical practice in a number of organ sites. No one solution for adaptive therapy exists. Rather, adaptive radiotherapy is a process which combines multiple tools for imaging, assessment of need for adaptation, treatment planning, and quality assurance of this process. Workflow is therefore a critical aspect to ensure safe, effective, and efficient implementation of adaptive radiotherapy. In this work, we discuss the tools for online and offline adaptive radiotherapy and introduce workflow concepts for these types of adaptive radiotherapy. Common themes and differences between the workflows are introduced and controversies and areas of active research are discussed.

Indexed as

WorkflowHumansImage Processing, Computer-AssistedNeoplasmsPatient PositioningRadiotherapy DosageRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-Assisted

Identifiers

PMID31027639
PMCPMC6487881

What OpenQuestion holds

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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.