Evidence map›Paper›PMID 38263237›Full record

ArticleRadiation oncology (London, England)2024

Cone beam CT-based adaptive intensity modulated proton therapy assessment using automated planning for head-and-neck cancer.

Yihang Xu, William Jin, Michael Butkus, Mariluz De Ornelas, Jonathan Cyriac, Matthew T Studenski, Kyle Padgett, Garrett Simpson, Stuart Samuels, Michael Samuels and 1 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yihang XuDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
William JinDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Michael ButkusDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Mariluz De OrnelasDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Jonathan CyriacDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Matthew T StudenskiDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Kyle PadgettDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Garrett SimpsonDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Stuart SamuelsDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Michael SamuelsDepartment of Radiation Oncology, Banner MD Anderson Cancer Center, Gilbert, AZ, USA.
Nesrin DoganDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA. ndogan@med.miami.edu.
University of Miami · USBanner MD Anderson Cancer Center

Funding

Varian Medical Systems GR013242
6 · The paper itself

Abstract

backgroundTo assess the feasibility of CBCT-based adaptive intensity modulated proton therapy (IMPT) using automated planning for treatment of head and neck (HN) cancers.

methodsTwenty HN cancer patients who received radiotherapy and had pretreatment CBCTs were included in this study. Initial IMPT plans were created using automated planning software for all patients. Synthetic CTs (sCT) were then created by deforming the planning CT (pCT) to the pretreatment CBCTs. To assess dose calculation accuracy on sCTs, repeat CTs (rCTs) were deformed to the pretreatment CBCT obtained on the same day to create deformed rCT (rCT

resultsGamma analysis of the dose recalculated on sCT and rCT

conclusionsCTs can be a useful tool for accurate proton dose calculation. Adaptive IMPT resulted in better CTV coverage, OAR sparing and lower NTCP for some OARs as compared with non-adaptive IMPT.

Indexed as

Blood Coagulation DisordersHead and Neck NeoplasmsProton TherapyRadiotherapy, Intensity-ModulatedCone-Beam Computed TomographyHumansProtonsProtonsAdaptiveCBCTHead and neck cancerIMPT

Identifiers

PMID38263237
PMCPMC10804468
OpenAlexW4391138111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.