Evidence map›Paper›PMID 39261153›Full record

ArticleMedical dosimetry : official journal of the American Association of Medical Dosimetrists

Lung SBRT: Dose gradient optimization based on target size.

Kathryn Benner, Justin Roper, Aparna H Kesarwala, Seth Fehrs, Eduard Schreibmann, Kirk Luca

Abstract read
In one paragraph

Article in Medical dosimetry : official journal of the American Association of Medical Dosimetrists. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Kathryn BennerDepartment of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.
Justin RoperDepartment of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.
Aparna H KesarwalaDepartment of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.
Seth FehrsDepartment of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.
Eduard SchreibmannDepartment of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.
Kirk LucaDepartment of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA. Electronic address: kirk.luca@emoryhealthcare.org.

Funding

Early-Stage Clinical Trial of AI-Driven CBCT-Guided Adaptive Radiotherapy for Lung CancerR21EB033994 · NIBIB · EMORY UNIVERSITY · PI KESARWALA, APARNA · 2023 to 2025
$822k
NIBIB NIH HHS R21 EB033994
6 · The paper itself

Abstract

This study investigated optimization settings that steepen the dose gradient as a function of target size for lung stereotactic body radiation therapy (SBRT). Sixty-eight lung SBRT patients with planning target volumes (PTVs) ranging from 2-203 cc were categorized into small (<20 cc), medium (20-50 cc), and large (>50 cc) groups. VMAT plans were generated using the normal tissue objective (NTO) to penalize the dose gradient at progressively steeper NTO fall-off values (0.1, 0.2, 0.3, 0.4, 0.5 mm

Indexed as

Lung NeoplasmsRadiosurgeryRadiotherapy Planning, Computer-AssistedHumansRadiotherapy DosageRadiotherapy, Intensity-ModulatedConformity indexFall-OffLungNormal tissue objectiveStereotactic body radiation therapy

Identifiers

PMID39261153
PMCPMC11788017

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.