Evidence map›Paper›PMID 40213313›Full record

ArticleAdvances in radiation oncology2025

Assessing Dosimetric Benefits of Cone Beam Computed Tomography-Guided Online Adaptive Radiation Treatment Frequencies for Lung Cancer.

Jingwei Duan, Joseph Harms, Drexell H Boggs, Adam J Kole, Richard A Popple, Dennis N Stanley, Michael H Soike, Natalie N Viscariello, Rex Cardan, Carlos E Cardenas and 1 more

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Jingwei DuanDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Joseph HarmsDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Drexell H BoggsDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Adam J KoleDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Richard A PoppleDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Dennis N StanleyDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Michael H SoikeDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Natalie N ViscarielloDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Rex CardanDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Carlos E CardenasDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Joel A PogueDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama.

Funding

NCI NIH HHS L30 CA284339
6 · The paper itself

Abstract

Purpose: Online adaptive radiation therapy (oART) has shown the ability to diminish interfraction variations. However, oART is a time- and labor-intensive process, and the optimal adaptation frequency remains to be determined for lung cancer oART. The purpose of this study was to quantify and assess dosimetric benefits associated with various adaptive frequencies in patients with lung cancer receiving oART. Methods and Materials: This study included 8 patients with lung cancer receiving oART treated on the Ethos platform in 30 or 33 fractions (n = 7 /1). For a total of 243 fractions, daily contours on cone-beam computed tomography (CT) and adaptive/nonadaptive plans on synthetic CT scan were used to simulate 4 different adaptation frequencies: none, single, weekly, and daily adaptation, resulting in 972 unique dose distributions. Dose-volume-histograms of targets and organs-at-risk (OARs) were compared between adaptation frequencies. Besides Dose-volume-histogram analysis, 3 radiation oncologists reviewed and scored 185 total plans, evenly sampling plans from the various adaptive frequencies. A comprehensive plan scorecard was fine-tuned to correlate with physician reviews and subsequently used for interplan comparison. Results: Compared with no adaptation, daily adaptation improved the median clinical target volume V100% by 0.2% (IQR, 0.0-1.0) and the planning target volume D98% by 0.5% (IQR, -2.2 to 3.83). It also reduced the planning target volume D0.03cc by 2.1% (IQR, 0.7-3.2), the lungs-internal target volume V20 Gy by 2.5% (IQR, 1.0-4.5), the heart D Conclusions: Online kilovoltage cone-beam CT scan-guided daily adaptation may lead to dosimetric benefits in both target coverage and OAR sparing in patients with lung cancer. Other adaptation frequencies are effective for some patients but tend to lead to target undercoverage compared with daily adaptation.

Identifiers

PMID40213313
PMCPMC11982956

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