Evidence map›Paper›PMID 37449917›Full record

ReviewRadiology. Imaging cancer2023

Adaptive Radiation Therapy: A Review of CT-based Techniques.

Elizaveta Lavrova, Matthew D Garrett, Yi-Fang Wang, Christine Chin, Carl Elliston, Michelle Savacool, Michael Price, Lisa A Kachnic, David P Horowitz

Abstract readReview
In one paragraph

Review in Radiology. Imaging cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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

  1. Pooled it
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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

9 authors.

Elizaveta LavrovaFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).ORCID 0000-0002-3332-4592
Matthew D GarrettFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).ORCID 0000-0002-9446-189X
Yi-Fang WangFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).ORCID 0000-0002-5391-1639
Christine ChinFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).
Carl EllistonFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).ORCID 0000-0002-2579-7656
Michelle SavacoolFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).
Michael PriceFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).ORCID 0000-0002-4998-2143
Lisa A KachnicFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).
David P HorowitzFrom the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).ORCID 0000-0002-4481-3770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive radiation therapy is a feedback process by which imaging information acquired over the course of treatment, such as changes in patient anatomy, can be used to reoptimize the treatment plan, with the end goal of improving target coverage and reducing treatment toxicity. This review describes different types of adaptive radiation therapy and their clinical implementation with a focus on CT-guided online adaptive radiation therapy. Depending on local anatomic changes and clinical context, different anatomic sites and/or disease stages and presentations benefit from different adaptation strategies. Online adaptive radiation therapy, where images acquired in-room before each fraction are used to adjust the treatment plan while the patient remains on the treatment table, has emerged to address unpredictable anatomic changes between treatment fractions. Online treatment adaptation places unique pressures on the radiation therapy workflow, requiring high-quality daily imaging and rapid recontouring, replanning, plan review, and quality assurance. Generating a new plan with every fraction is resource intensive and time sensitive, emphasizing the need for workflow efficiency and clinical resource allocation. Cone-beam CT is widely used for image-guided radiation therapy, so implementing cone-beam CT-guided online adaptive radiation therapy can be easily integrated into the radiation therapy workflow and potentially allow for rapid imaging and replanning. The major challenge of this approach is the reduced image quality due to poor resolution, scatter, and artifacts.

Indexed as

Radiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedCone-Beam Computed TomographyHumansOrgans at RiskRadiotherapy DosageAdaptive Radiation TherapyCone-Beam CTOncologyOrgans at Risk

Identifiers

PMID37449917
PMCPMC10413297

What OpenQuestion holds

Textmetadata
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.