Evidence map›Paper›PMID 39592335›Full record

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

Dosimetric comparison between laterality-specific and general knowledge-based planning models for nonsmall cell lung cancer.

Julia Seng, Kirk Luca, Justin Roper, Aparna H Kesarwala, Shadab Momin

Abstract readComparative Study
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 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

5 authors.

Julia SengDepartment of Radiation Oncology, Emory University, Atlanta, GA, USA. Electronic address: juliakseng@gmail.com.
Kirk LucaDepartment of Radiation Oncology, Emory University, Atlanta, GA, USA.
Justin RoperDepartment of Radiation Oncology, Emory University, Atlanta, GA, USA.
Aparna H KesarwalaDepartment of Radiation Oncology, Emory University, Atlanta, GA, USA.
Shadab MominDepartment of Radiation Oncology, Emory University, Atlanta, GA, USA.

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

To investigate the dosimetric impact of laterality-specific RapidPlan models for nonsmall cell lung cancer. Three RapidPlan models were developed and validated for Right, Left, and General conventional lung radiotherapy. Each model was trained using 50 plans. The right and left models consisted of plans corresponding to their respective laterality. Twenty-five cases were randomly chosen from each laterality-specific model to craft a general model. All models shared identical optimization objectives and the same target and OAR structures. Validation included 13 right-sided and 13 left-sided cases optimized using each RapidPlan model without intervention and normalized such that the prescription dose covered 95% of the target volume. Statistical analysis using a paired sample t-test (p < 0.01) assessed dosimetric endpoints based on RTOG 0617 criteria. For right-sided cases, spinal cord Dmax and D0.03cc were lowest in the left model and highest in the right model (21.08 Gy and 21.22 Gy vs 23.67 Gy and 24.08 Gy). D

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRadiotherapy Planning, Computer-AssistedHumansKnowledge BasesOrgans at RiskRadiotherapy DosageKnowledge-based planningLungNonsmall cell lung cancerRapid planSite- specific

Identifiers

PMID39592335
PMCPMC12048244

What OpenQuestion holds

Textmetadata
LicenceTDM
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.