Evidence map›Paper›PMID 39615586›Full record

ArticlePractical radiation oncology

Dose Planning and Radiation Optimization for Thoracic Conventional, Twice Daily, and Stereotactic Radiation Therapy: A Delphi Consensus From a National Survey of Practitioners.

Julius Weng, Jeff Ryckman, Matthew S Katz, Hina Saeed, Christopher Estes, Issam El Naqa, Amy Moreno, Sue S Yom, Dose Planning and Radiation Optimization (Dose-PRO) Consensus Group

Abstract readConsensus Statement
In one paragraph

Article in Practical radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Julius WengDepartment of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas.
Jeff RyckmanDepartment of Radiation Oncology, West Virginia University, West Virginia University Camden Clark Medical Center, Parkersburg, West Virginia.
Matthew S KatzRadiation Oncology Associates, Lowell, Massachusetts.
Hina SaeedDepartment of Radiation Oncology, Lynn Cancer Institute, Baptist Health South Florida, Florida.
Christopher EstesDepartment of Radiation Oncology, Mercy Hospital, Springfield, Missouri.
Issam El NaqaDepartment of Radiation Oncology, Moffit Cancer Center, Tampa, Florida.
Amy MorenoDepartment of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas.
Sue S YomDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California. Electronic address: sue.yom@ucsf.edu.
Dose Planning and Radiation Optimization (Dose-PRO) Consensus Group

Funding

Provider and Patient-generated Remote Oro-Dental Health Electronic Data Capture for Algorithmic Longitudinal Evaluation and Risk-Assessment (PROHEALER)K01DE030524 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2022 to 2024
$479k
NIDCR NIH HHS K01 DE030524
6 · The paper itself

Abstract

purposeWe sent surveys to a large number of radiation oncologists with active thoracic cancer practices and applied the Delphi method over 3 rounds to generate consensus dose-volume histogram metrics. We used these results to create consensus-based organs-at-risk dose constraints and target goal templates for practical implementation. METHODS AND MATERIALS: In this institutional review board-approved study, data were collected using REDCap electronic data capture on a secure server. Radiation oncologists identified from the Accreditation Council for Graduate Medical Education-accredited departments' websites were asked to confirm their self-identification as thoracic radiation oncologists and nominate other respondents. All invitees were asked to complete 3 rounds of questions related to normal tissue constraints, target coverage metrics, prescribing practices, and other planning considerations. Preliminary consensus statements were presented in the second round of surveys for voting on a 5-point Likert scale. The third and last round of surveys presented the iterated consensus statements and target coverage metric statements for final voting. The high consensus was predefined as ≥ 75% agreement.

resultsEighty-three (42.8%) of 194 invitees completed at least 1 round of surveys. The group included a diversity of gender, geography, and clinical settings. Response rates were 83%, 57%, and 55%, respectively, for the 3 rounds. By the end of the process, 48 of 96 (50%) originally proposed normal tissue dose constraint statements were iterated to consensus, and 5 of 7 (71%) proposed target coverage metric statements achieved consensus. These were used to create crowdsourced treatment planning templates.

conclusionThis study achieved broad-based consensus-building on ideal and acceptable dose constraints for conventional, twice-daily, and stereotactic thoracic radiation therapy. Future directions could include extending this approach to other disease sites, studying the influence of widespread implementation on treatment planning, or facilitating the development of community consensus around emergent or controversial questions.

Indexed as

RadiosurgeryRadiotherapy Planning, Computer-AssistedThoracic NeoplasmsDelphi TechniqueFemaleHumansMaleRadiation OncologistsRadiotherapy DosageSurveys and Questionnaires

Identifiers

PMID39615586
PMCPMC12519375

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.